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POLARIS IQ · Enterprise Intelligence

Enterprise intelligence that understands your business and puts intelligence to work.

POLARIS IQ connects the systems, data, knowledge and workflows across your organisation. It gives AI the context to understand what is happening, help decide what should happen next and take action within the controls you define.

It works with the systems and AI models you already use, so nothing has to be replaced to get started.

Keep your systems. Add intelligence.

Model-agnosticWorks with your existing systemsCloud, on-premise or edgeExplainable decision traceGraduated autonomy with full control
The problem

AI is getting smarter. Businesses are still fragmented.

Most businesses already run CRM, ERP, databases, documents, cloud platforms, analytics, automation and, increasingly, AI models and agents. Yet what the business knows is still split across systems, data, teams and workflows.

CRM and ERP
know customers and resources.
Platforms
run digital services, commerce and channels.
Finance
knows transactions.
Documents
contain knowledge.
People
carry experience.
Cameras and sensors
see the physical environment.
Market data
describes the outside world.
AI models
provide intelligence.
The gap
Even a powerful AI model does not know your business.
As models improve, the challenge moves beyond access to AI. The question becomes:
How do you make AI understand and operate within the reality of your business?
✕Your customers
✕Your products
✕Your relationships
✕Your policies
✕How your operations run
✕What is happening right now
✕Your market
✕Who is allowed to approve what
✕Decisions made before
✕What actually happened afterwards
Why it matters

Models will change. Business context compounds.

As AI becomes more capable, the advantage will not come from simply having access to intelligence. It will come from how well a business connects that intelligence to its context, decisions, actions and outcomes. POLARIS IQ is built for that.

Models provide intelligence
Frontier models
Open models
Specialised models
Models hosted in your environment
Swap in better models as they arrive.
POLARIS IQ provides the environment
ContextWhat the business knows
Current stateWhat is happening now
AuthorityWho may decide and act
OutcomesWhat happened as a result
Control across everything
How it works

Five stages. One intelligence layer.

Choose an industry, then scroll to follow one real situation from first signal to recorded outcome, with your controls around every step.

Example
SituationDemand in Indonesia is outrunning supplyUnusual transfer from a key clientTonight's live audience is expected to doublePump 4 vibration is rising at Station NorthEmergency arrivals are higher than usual this afternoonA flash sale is selling out faster than plannedPlayers are dropping out of matches in one regionKiln temperature is drifting at Plant 2
01 / 05
Connect.

Bring your business together.

POLARIS IQ connects the systems and information you already use. Nothing has to be replaced.

Make the technology you already have work more intelligently together.
02 / 05
Understand.

Give AI the context of your business.

It keeps a live picture of the people, assets, transactions and agreements that matter, and how they relate to each other.

Persistent business context, kept current.
03 / 05
Decide.

Know what matters and what to do next.

It weighs the options against your goals and limits, and recommends one, with its reasons.

Better decisions from connected intelligence.
04 / 05
Act.

Turn intelligence into action.

Approved work is carried out across your systems, within the authority you set.

AI that takes part in operations, not only answers questions.
05 / 05
Learn.

Connect actions to outcomes.

It records what was decided, what was done and what happened, so the next decision is better informed.

Every outcome informs the next decision.
See it work on your own data.We start with one business problem and the systems you already run.
Discuss your requirements
Decision trace

See exactly how a decision is made.

Every POLARIS IQ decision leaves an explainable trace: the signals, the business context, the evidence, the options tested, the policy checks, the approvals, the actions and the outcome. This is an illustrative example.

Live trace · illustrative
Example
Step 1 of 7 · Signals linked

Demand for Product B is rising in Indonesia

Signals from inside and outside the organisation are linked into one case.

Market dataCategory demand up in modern trade
CRMTwo distributors asking for earlier delivery
Web and searchInterest rising in Jakarta and Surabaya
One caseDemand for Product B is rising in Indonesia
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Demand case
CustomersModern trade retailers
ProductProduct B, 3 SKUs
DistributorJakarta, renews in Q1
Plant 2Malaysia, near capacity
PolicyRegional pricing and credit
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
Stock coverDistributor stock covers about three weeks
Distributor portal
2
CapacityPlant 2 is close to full capacity
ERP
3
CostFreight costs are higher this quarter
Finance
4
RiskLost sales are likely if nothing changes
Combined
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep the plan
Revenue
Margin
Risk
RecommendedB · Second shift, six weeks
Revenue
Margin
Risk
C · Third-party warehouse
Revenue
Margin
Risk
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Add a second shift for six weeks
✓
BudgetWithin regional operating budget
✓
Margin floorAbove policy minimum
…
AuthorityNeeds Regional General Manager approval
i
Autonomy levelLevel 3 · prepared for approval
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Operations agentSecond shift scheduled
ERP
✓
Sales agentAccount team briefed
CRM
✓
Finance agentForecast and cost plan updated
Finance
✓
Market agentDistributor brief prepared
Email
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

On-time delivery
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 1 of 7 · Signals linked

Transfer #7781 does not match the client's normal pattern

Signals from inside and outside the organisation are linked into one case.

PaymentsLarge transfer to a first-time payee
Device dataNew phone, new location
CRMClient travelling, per last call note
One caseTransfer #7781 does not match the client's normal pattern
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Payment case
ClientHarbour Logistics
AccountBusiness account, 8 years
PayeeFirst-time, overseas
DeviceNot seen before
PolicyFraud policy 4.2
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
HistoryNo transfers of this size in 12 months
Payments
2
PayeePayee account opened last week
Payee checks
3
ContextClient did mention travel this month
CRM
4
RiskPattern matches known invoice fraud
Combined
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Release the transfer
Loss avoided
Client experience
Risk
RecommendedB · Hold and confirm by phone
Loss avoided
Client experience
Risk
C · Block the account
Loss avoided
Client experience
Risk
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Hold the transfer and confirm with the client by phone
✓
PolicyFraud policy 4.2 allows a hold
✓
Client termsHold within agreed service times
…
AuthorityNeeds fraud team lead sign-off
i
Autonomy levelLevel 3 · prepared for approval
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Payments agentTransfer placed on hold
Payments
✓
Client agentCall booked with the client
CRM
✓
Case agentCase file opened with evidence
Documents
✓
Risk agentPayee added to watch list
Risk
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Fraud caught before loss
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 1 of 7 · Signals linked

Tonight's live match audience is forecast to double

Signals from inside and outside the organisation are linked into one case.

Audience dataPre-match viewing up sharply
SocialMatch trending in two markets
Ad serverAdvertiser added match-night spots
One caseTonight's live match audience is forecast to double
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Live event case
ProgrammeWeekend football, 8pm
Audience18 to 34, mobile heavy
RightsFootball rights, renews May
AdvertiserNorthstar Drinks
CDN partnerEdge capacity near limit
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
CapacityEdge capacity covers about 70% of forecast peak
CDN
2
DevicesMost viewers will watch on mobile
Audience data
3
RevenueAd spots sold against full delivery
Ad server
4
RiskBuffering at kick-off if nothing changes
Combined
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep current setup
Audience reach
Ad revenue
Risk
RecommendedB · Add stream capacity
Audience reach
Ad revenue
Risk
C · Cap quality at HD
Audience reach
Ad revenue
Risk
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Add stream capacity and a backup playout
✓
BudgetWithin event operating budget
✓
RightsStream allowed in all licensed markets
…
AuthorityNeeds Head of Broadcast approval
i
Autonomy levelLevel 3 · prepared for approval
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Delivery agentExtra edge capacity booked
CDN
✓
Playout agentBackup playout prepared
Playout
✓
Sales agentAdvertiser told delivery is secured
CRM
✓
Social agentMatch reminder posted
Social
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Stream quality at peak
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 1 of 7 · Signals linked

Pump 4 at Station North shows rising vibration

Signals from inside and outside the organisation are linked into one case.

SensorsVibration up for five days
MaintenanceLast service overdue by three weeks
WeatherHeatwave expected this weekend
One casePump 4 at Station North shows rising vibration
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Asset case
AssetPump 4, Station North
CustomersIndustrial park North
CrewCrew B, nearest qualified
VendorSpare bearing in stock
ContractOutage penalty after 4 hours
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
ConditionBearing wear likely within two weeks
Sensors
2
DemandWeekend demand will be high
Demand forecast
3
ExposureIndustrial park relies on this station
Network model
4
RiskUnplanned outage likely if nothing changes
Combined
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Run until it fails
Reliability
Cost
Risk
RecommendedB · Repair tonight
Reliability
Cost
Risk
C · Shut down now
Reliability
Cost
Risk
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Repair Pump 4 tonight in the low-demand window
✓
BudgetWithin maintenance budget
✓
SafetyCrew B certified for this work
…
AuthorityNeeds Operations Manager approval
i
Autonomy levelLevel 3 · prepared for approval
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Maintenance agentWork order WO-5512 raised
Maintenance
✓
Field agentCrew B scheduled for 11pm
Field service
✓
Supply agentSpare bearing reserved
ERP
✓
Customer agentIndustrial park notified
Email
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Supply reliability
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 1 of 7 · Signals linked

Emergency arrivals are higher than usual this afternoon

Signals from inside and outside the organisation are linked into one case.

Patient flowArrivals above the normal pattern
Ambulance feedThree more on the way
Bed managementNo overflow beds open
One caseEmergency arrivals are higher than usual this afternoon
Step 1 of 7 · Signals linked

A flash sale is selling out faster than planned

Signals from inside and outside the organisation are linked into one case.

OrdersOrders three times the plan
Ad platformsCampaign still spending
Warehouse systemTwo best sellers nearly gone
One caseA flash sale is selling out faster than planned
Step 1 of 7 · Signals linked

Players are dropping out of matches in one region

Signals from inside and outside the organisation are linked into one case.

MatchmakingDrop-outs four times normal
Social channelsComplaints rising
Game serversSoutheast Asia servers at capacity
One casePlayers are dropping out of matches in one region
Step 1 of 7 · Signals linked

Kiln temperature is drifting at Plant 2

Signals from inside and outside the organisation are linked into one case.

Kiln sensorsTemperature above the normal range
Gas analyserOxygen level falling
Control systemBurner service overdue
One caseKiln temperature is drifting at Plant 2
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Patient flow case
WardEmergency department
BedsOverflow ward, closed
StaffTwo nurses on call
TheatreTheatre 3 finishing early
Target4-hour waiting target
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Flash sale case
Campaign11.11 flash sale
Stock2,400 units in Warehouse 2
CouriersSame-day courier slots free
WarehouseSimilar items in stock
TargetShip within 24 hours
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Match drop-out case
RegionSoutheast Asia region
ServersSpare capacity in Singapore
TeamEngineers on call
SeasonNew season launched today
TargetMatches start within 60 seconds
Step 2 of 7 · Business context

What this is connected to

Relationships, history and policies come from the whole organisation, not from one system.

Kiln temperature case
LinePlant 2, kiln line
EquipmentBurner, service overdue
CrewTwo technicians on shift
OrderLarge order due Friday
TargetQuality within limits
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
WaitingWaiting times rising for two hours
Patient flow
2
BedsRecovery beds free up at 4pm
Theatre schedule
3
StaffOn-call nurses can arrive within an hour
Rostering
4
RiskWaiting target will be missed if nothing changes
Combined
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
StockTwo items sell out within the hour
Orders
2
StockWarehouse 2 can transfer by tonight
Product catalogue
3
CouriersCouriers can collect from both sites
Ad platforms
4
RiskAds will keep selling stock that is gone
Combined
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
MatchesMatch wait times rising for two hours
Matchmaking
2
ServersSingapore servers can start in minutes
Season calendar
3
TeamEngineers can scale within the hour
Live operations
4
RiskPlayers will leave if nothing changes
Combined
Step 3 of 7 · Evidence

What it affects

Every finding links back to its source, so people can check the evidence.

1
QualityTemperature drifting for six hours
Kiln sensors
2
EquipmentShift change at 10pm
Production plan
3
CrewTechnicians can check the burner tonight
Maintenance
4
RiskBatch may fail quality checks if nothing changes
Combined
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep the current roster
Patient care
Cost
Risk
RecommendedB · Open overflow, call two nurses
Patient care
Cost
Risk
C · Divert ambulances
Patient care
Cost
Risk
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep the sale running as it is
Customer experience
Cost
Risk
RecommendedB · Move stock, cap ads
Customer experience
Cost
Risk
C · Pause the sale
Customer experience
Cost
Risk
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep the current servers
Player experience
Cost
Risk
RecommendedB · Add servers, compensate
Player experience
Cost
Risk
C · Roll back the update
Player experience
Cost
Risk
Step 4 of 7 · Scenario evaluation

What happens if we act?

Options are tested against what matters most before anything is committed.

A · Keep the current settings
Quality
Cost
Risk
RecommendedB · Lower feed, check burner
Quality
Cost
Risk
C · Stop the kiln
Quality
Cost
Risk
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Open the overflow ward and call in two nurses
✓
BudgetWithin staffing budget
✓
Clinical policyOverflow ward approved for this use
…
AuthorityNeeds duty manager approval
i
Autonomy levelLevel 3 · prepared for approval
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Move stock from Warehouse 2 and cap ads on two items
✓
BudgetWithin the campaign budget
✓
Pricing policyNo price change needed
…
AuthorityNeeds e-commerce manager approval
i
Autonomy levelLevel 3 · prepared for approval
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Add servers in Singapore and give affected players a reward
✓
BudgetWithin the server budget
✓
Reward policyReward within the agreed limit
…
AuthorityNeeds live operations lead approval
i
Autonomy levelLevel 3 · prepared for approval
Step 5 of 7 · Policy and authority

Option B recommended

The control plane decides what may run on its own and what needs a person.

RecommendationB · Lower the feed rate and check the burner at shift change
✓
BudgetWithin the maintenance budget
✓
Safety policyChange within safe operating limits
…
AuthorityNeeds plant manager approval
i
Autonomy levelLevel 3 · prepared for approval
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Rostering agentTwo on-call nurses called in
Rostering
✓
Bed agentOverflow ward opened
Bed management
✓
Comms agentTeams and porters alerted
Messaging
✓
Reporting agentDuty log updated
Documents
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Ads agentAds capped on two items
Ad platforms
✓
Stock agentTransfer booked from Warehouse 2
Warehouse system
✓
Comms agentShoppers shown similar items
Messaging
✓
Reporting agentSale report updated
Documents
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Rewards agentAffected players rewarded
Live operations
✓
Server agentSingapore servers added
Game servers
✓
Comms agentCommunity post published
Community
✓
Reporting agentIncident log updated
Documents
Step 6 of 7 · Specialised agents

Approved, now carried out

Agents do the work in your existing systems, each within its own permissions.

✓
Maintenance agentBurner check booked for 10pm
Maintenance
✓
Process agentFeed rate lowered 8%
Control system
✓
Comms agentShift and quality team alerted
Messaging
✓
Reporting agentShift log updated
Documents
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Patients seen within target
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Orders shipped on time
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Matches completed
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
Step 7 of 7 · Decision memory

Outcome tracked against expectation

What actually happened becomes context for the next decision.

Output within quality limits
ExpectedActual
↻
Saved to decision memoryContext, decision, action and outcome, ready for the next similar case
02 · Understand

A live picture of your business.

POLARIS IQ keeps an evolving picture of your organisation and the environment it operates in. This is what lets it reason across departments instead of reading isolated records.

Ask a question. See how POLARIS IQ connects the answer.
Example
ContractRenews in 60 daysCustomerAcme RetailInvoiceINV-881 overdueOrder#1042ShipmentSingapore to JakartaSupplierDelta MetalsProductionLine 2ProductBracket B-20MarketIndonesiaFinanceMargin targetAgreementCredit line, renews Q1ClientHarbour LogisticsPaymentOverdue 12 daysTransfer#7781 on holdDeviceNew phone, new placePayeeFirst-time, overseasRuleFraud policy 4.2ProductBusiness accountSegmentSME clientsRiskLoss limitRights dealFootball, renews MayAdvertiserNorthstar DrinksInvoiceCampaign billingCampaignMatch-night spotsLive streamTonight, 8pmCDN partnerEdge capacityPlayoutChannel 2ProgrammeWeekend footballAudience18 to 34FinanceAd revenue targetContractVendor, 24h responseCustomersIndustrial park NorthPenaltyOutage over 4 hoursWork orderWO-5512 openField crewCrew BVendorSpare bearingAssetPump 4, Station NorthServiceWater supplyRegionNorth districtBudgetMaintenance budgetAgreementAgency staff, on callWardEmergency departmentTarget4-hour waiting targetPatient flowAfternoon arrivalsBedsOverflow wardStaffingOn-call nursesTheatreTheatre 3ServiceDay surgeryCommunityFlu seasonBudgetStaffing budgetAgreementCourier contract, extra slotsCampaign11.11 flash saleTargetShip within 24 hoursOrdersSale ordersStockWarehouse 2DeliveryCourier slotsWarehouseSimilar itemsCategoryHome appliancesMarketPayday weekBudgetCampaign budgetAgreementCloud contract, extra capacityRegionSoutheast Asia regionTargetMatches start within 60 secondsMatchmakingMatch drop-outsServersSingapore serversEngineeringEngineers on callSeasonNew seasonGame modeRanked modePlayersSchool holidaysBudgetServer budgetAgreementService contract, burnerLinePlant 2, kiln lineTargetQuality within limitsKiln sensorsKiln temperatureEquipmentBurnerCrewTechnicians on shiftOrderFriday orderProductGrade A cementMarketBuilding seasonBudgetMaintenance budget123412341234
Answer, traced across the organisation
Why is order #1042 late?
1Order #1042 is waiting on its shipment to Jakarta.
2The shipment is held for parts from Delta Metals.
3Delta Metals delivered to Line 2 six days late.
4Two more orders use the same part. Suggested: switch supplier for this batch.
SourcesOrdersLogisticsSupplier portalProduction
Answer, traced across the organisation
Why was transfer #7781 held?
1Transfer #7781 came from a new phone in a new place.
2It goes to a first-time payee overseas.
3Fraud policy 4.2 asks for a check in this case.
4Suggested: confirm with the client by phone before release.
SourcesPaymentsDevice dataPayee checksPolicy
Answer, traced across the organisation
Will tonight's live stream hold up?
1Northstar's campaign runs during tonight's live match.
2The 8pm stream audience is forecast to double.
3The CDN partner's edge capacity is near its limit.
4Suggested: add edge capacity and prepare a backup playout on Channel 2.
SourcesAd serverAudience dataCDNPlayout
Answer, traced across the organisation
Why is Pump 4 at risk?
1Work order WO-5512 for Pump 4 is still open.
2Crew B is the nearest crew with the right skills.
3The vendor has the spare bearing in stock.
4Vibration on Pump 4 is rising. Suggested: repair tonight in the low-demand window.
SourcesMaintenanceField serviceVendor portalSensors
Answer, traced across the organisation
Why are waiting times rising this afternoon?
1Afternoon arrivals are higher than usual.
2No overflow beds are open yet.
3Two on-call nurses can arrive within the hour.
4Theatre 3 finishes early, freeing beds. Suggested: open the overflow ward and call in two nurses.
SourcesPatient flowBed managementRosteringTheatre schedule
Answer, traced across the organisation
Why are two items selling out so fast?
1Sale orders are three times the plan.
2Two best sellers will sell out within the hour.
3Warehouse 2 holds 2,400 units of the same items.
4Similar items are in stock. Suggested: move stock from Warehouse 2 and cap ads on two items.
SourcesOrdersWarehouse systemAd platformsProduct catalogue
Answer, traced across the organisation
Why are players dropping out of matches?
1Match drop-outs are four times normal.
2Southeast Asia servers are at capacity.
3Singapore servers can start within minutes.
4The new season launched today. Suggested: add servers in Singapore and reward affected players.
SourcesMatchmakingGame serversLive operationsSeason calendar
Answer, traced across the organisation
Why is the kiln temperature drifting?
1Kiln temperature is above the normal range.
2The burner service is overdue.
3Two technicians on shift can check the burner tonight.
4A large order is due Friday. Suggested: lower the feed rate and check the burner at shift change.
SourcesKiln sensorsControl systemMaintenanceProduction plan
Answer, traced across the organisation
Which customer needs attention this week?
1Acme Retail's contract renews in 60 days.
2Invoice INV-881 is overdue.
3Their order #1042 is running late.
4Suggested: account manager calls this week with a new delivery date.
SourcesCRMContractsFinanceOrders
Answer, traced across the organisation
Which client needs attention this week?
1Harbour Logistics' credit line renews in Q1.
2A payment is 12 days overdue.
3Transfer #7781 is on hold.
4Suggested: relationship manager calls this week.
SourcesCRMCreditPaymentsTransactions
Answer, traced across the organisation
Which advertiser needs attention?
1Northstar sponsors the football rights package, renewing in May.
2Their campaign invoice is not yet paid.
3Their match-night spots run tonight.
4Suggested: account team confirms delivery and billing this week.
SourcesContractsCRMFinanceAd server
Answer, traced across the organisation
Which customers are exposed if it fails?
1The vendor contract promises a 24-hour response.
2Industrial park North depends on Station North.
3An outage over 4 hours triggers a penalty.
4Suggested: fix before the weekend and warn the park operators.
SourcesContractsNetwork modelAgreementsMaintenance
Answer, traced across the organisation
Is the emergency department at risk today?
1Agency staff can be called under the current agreement.
2The emergency department is the busiest ward today.
3The 4-hour waiting target is at risk.
4Arrivals are still climbing. Suggested: alert the duty manager now.
SourcesAgreementsWard dataTargetsPatient flow
Answer, traced across the organisation
Is today’s delivery promise at risk?
1Extra courier slots are available under the current contract.
2The flash sale is today’s busiest campaign.
3The 24-hour delivery promise is at risk.
4Orders are still climbing. Suggested: book the extra courier slots now.
SourcesContractsCampaign dataService levelsOrders
Answer, traced across the organisation
Is the new season launch at risk?
1Extra capacity is covered by the current cloud contract.
2Southeast Asia is the busiest region today.
3The 60-second match start target is at risk.
4Drop-outs are still climbing. Suggested: alert the live operations lead now.
SourcesContractsRegion dataService levelsMatchmaking
Answer, traced across the organisation
Is Friday’s order at risk?
1The burner is covered by the current service contract.
2The kiln line carries most of this week’s orders.
3Quality limits for Friday’s order are at risk.
4Temperature is still rising. Suggested: alert the plant manager now.
SourcesContractsLine dataQuality limitsKiln sensors
Answer, traced across the organisation
Can we take more orders from Indonesia?
1Demand for Bracket B-20 in Indonesia is rising.
2Bracket B-20 is made on Line 2.
3Line 2 is already at full capacity.
4A second shift keeps margin above target. Suggested: approve a four-week second shift.
SourcesMarket dataProductsProductionFinance
Answer, traced across the organisation
Can we lend more to SME clients?
1Demand from SME clients is rising.
2Most start on the business account.
3Policy allows higher limits for clean histories.
4Losses stay within the limit. Suggested: raise limits after 12 months of clean history.
SourcesMarket dataProductsPolicyRisk
Answer, traced across the organisation
Should we add a second weekend match?
1Viewing by 18 to 34 year olds is up for weekend football.
2Weekend football is their strongest programme.
3Channel 2 playout has a free Sunday slot.
4Ad revenue clears target. Suggested: schedule a second match on Sunday.
SourcesAudience dataProgrammesPlayoutFinance
Answer, traced across the organisation
Can North district take more demand?
1Demand in North district is rising with new housing.
2Water supply there runs through Station North.
3Pump 4 limits the station's capacity.
4Replacement fits the budget. Suggested: bring it into this year's plan.
SourcesDemand forecastNetwork modelSensorsFinance
Answer, traced across the organisation
Can we run extra day surgery lists?
1Flu season will lower planned admissions next month.
2Day surgery has the longest waiting list.
3Theatre 3 has free sessions on Fridays.
4Staffing fits the budget. Suggested: add Friday day-surgery lists for six weeks.
SourcesCommunity dataWaiting listsTheatre scheduleFinance
Answer, traced across the organisation
Can we run a second sale next month?
1Payday week next month usually lifts orders.
2Home appliances had the most sell-outs today.
3Warehouse 2 has space for more appliance stock.
4The budget fits. Suggested: run an appliance sale in payday week.
SourcesMarket dataSell-out reportProduct catalogueFinance
Answer, traced across the organisation
Can we run a weekend event next month?
1School holidays next month usually bring more players.
2Ranked mode has the longest match waits.
3The season calendar has a free weekend.
4The server budget fits. Suggested: run a ranked weekend event.
SourcesPlayer dataMatch wait reportSeason calendarFinance
Answer, traced across the organisation
Can we add a weekend production run?
1Building season next month usually lifts demand.
2Grade A cement has the most orders waiting.
3The kiln line has free capacity at weekends.
4Crew costs fit the budget. Suggested: add weekend runs for six weeks.
SourcesMarket dataOrder bookProduction planFinance
What it represents
PeopleCustomersCompaniesPartnersSuppliersProductsServicesMarketsCountriesAssetsLocationsProcessesTransactionsDocumentsSystemsPoliciesEventsDecisionsActionsOutcomes
And, above all, the relationships between them.

This needs more than retrieval. It needs persistent context, relationships, enterprise memory and structured organisational knowledge. Where digital twins exist, they add a spatial view of sites, assets and equipment. The model becomes richer as more systems, processes and outcomes are connected.

Simulation

What happens if we do this?

POLARIS IQ does not only recommend actions. Where appropriate, it evaluates the consequences first, combining intelligence across domains and, where a digital twin exists, testing changes on a live model of the site or operation. Simulation moves it beyond generative AI toward decision intelligence.

What happens if we reduce prices?
What happens if we enter Indonesia?
What happens if this supplier fails?
What happens if demand rises 20%?
What happens if we change distributors?
What happens if we move inventory?
What happens if we increase marketing spend?
What happens if production capacity falls?
TODAYABCRECOMMENDED
Digital and physical

From software to the physical world.

POLARIS IQ is designed to understand information from enterprise software, communications and outside sources, and from cameras, sensors, devices and equipment. Digital twins give it a live, spatial view of sites and equipment, and vision is one of the ways it perceives the physical world, not a separate product.

Enterprise software
ERP · CRM · Finance · Commerce · Industry applications
Digital twins and 3D
Live 3D models of sites, buildings, networks and equipment
Documents and communications
Documents · Email · Messaging · Policies · Records
External information
Internet · Markets · Companies · Regulation · Trade data
Physical systems
Cameras · Sensors · Devices · Equipment · Edge systems
Graduated autonomy

You decide how much it does on its own.

POLARIS IQ does not need human approval for everything, and it does not act without limits. Autonomy increases level by level, set by the customer for each process.

Select a level to set the boundary for a processBoundary set at level 3: Assist

The customer determines the level of autonomy.

Applications

Applications of one intelligence layer.

Market, Revenue, Finance, Operations, Knowledge, Media and Vision Intelligence are not separate platforms. They all use the same enterprise intelligence layer, and new applications can be built on it.

Market Intelligence
Markets, industries, competitors, companies and opportunities.
Revenue Intelligence
Customers, pipeline, pricing and commercial signals.
Finance Intelligence
Invoices, payments, spending and cash, in commercial context.
Operations Intelligence
Processes, resources, schedules, assets and exceptions.
Knowledge Intelligence
Documents, records, manuals and expertise, connected.
Media Intelligence
Content, audiences, assets, engagement and distribution.
Vision Intelligence
Images, video and camera feeds for physical operations.
POLARIS IQ enterprise intelligence layerShared perception, context, memory, world model, reasoning, simulation, agents and control
Future applications, for example
Supply Chain IntelligenceEngineering IntelligenceCustomer IntelligenceRisk IntelligenceHealthcare IntelligenceHospitality IntelligenceManufacturing Intelligence
Learn

Decision memory.

POLARIS IQ becomes more useful through outcomes. For every important decision it records what was known, decided and done, and what actually happened. That memory becomes context for future reasoning, which matters far more than remembering conversations.

Context → Decision → Action → Outcome → Learning
What did we know?
What did we decide?
Why?
What action did we take?
What did we expect to happen?
What actually happened?
Control plane

Intelligence and control, together.

Increasing intelligence requires increasing control. The POLARIS IQ control plane governs how intelligence, agents and models operate. This is intelligence with control, not uncontrolled autonomous AI.

Identity and access
Which people, agents and systems can reach information, tools and actions.
Permissions and policies
What each agent may do, when, and under which conditions.
Guardrails
When agents must stop, escalate or ask.
Authority and approval
Financial, operational and organisational limits for autonomous action.
Risk
Risk boundaries and thresholds that change how far automation goes.
Observability
What intelligence and agents are doing across systems.
Audit
Records of context, decisions, approvals, actions and outcomes.
Security
Protection of enterprise information across connected environments.
Agent controls
Which agents run, what tools they hold and how they cooperate.
Model controls
Which models are used for which tasks and data.
Why it is different

Intelligence across the business, not inside one application.

Most enterprise AI lives inside a single product, answers questions or automates a task. POLARIS IQ is designed as the layer across all of them. Categories below are general and describe typical products, not any specific vendor.

CapabilityAI assistants and copilotsAgent and workflow toolsData and analytics platformsPOLARIS IQ
Works across all your systems, not inside one
Persistent business context
Simulates options before acting
Combines internal and external intelligence
Understands digital and physical operations
Acts in your systems through governed agents
Graduated autonomy with a control plane
Learns from decision outcomes
Model-agnostic
● Core design◐ Partly, or within one product○ Not typical
Architecture

One architecture. Many intelligent outcomes.

The architecture is the product. Applications such as Market or Finance Intelligence are manifestations of it, all running on the same intelligence core, control plane and connected environment.

03 · Layer
Intelligence core

The heart of POLARIS IQ: it perceives, builds context and memory, maintains the business context, and reasons, plans, simulates, decides and learns.

PerceptionContextMemoryKnowledgeBusiness contextReasoningPlanningSimulationDecision intelligenceLearning
For CTOs and IT teams

Built to fit enterprise IT.

POLARIS IQ is designed to sit inside your architecture, security model and governance, not around them.

Deployment
Run in your cloud, on-premise or at the edge, including on-premise appliances for sites where data must stay local.
Model-agnostic
Use the right model for each task and replace models as better ones arrive, without rebuilding the system.
Integration
Connect through APIs, connectors and event streams. Deployments typically start read-only, with write-back added through approved actions.
Permissions
Respects the access rules of the systems it connects to, with identity and permissions for every person and agent.
Traceability
Every decision and action is recorded with its evidence, approvals and outcome, ready for audit and review.
Measured value
Each use case is measured against how the process runs today, so expansion is based on results.
Under the hood
Context→Intelligence→Decision→Action→Outcome→Learning
Control spans the entire loop: identity, permissions, approvals, limits and audit.
Questions from your IT or security team?We can arrange a technical briefing on deployment, data access and controls.
Arrange a technical briefing
Where it is going

From enterprise context to adaptive intelligence.

POLARIS IQ is architected so that intelligence, reasoning, memory, autonomy and cross-domain understanding can grow over time without redesigning the system. It is built for today's practical use and for a much larger future.

01
Assisted Intelligence
UnderstandSearchAnalyseRecommend
02
Agentic Intelligence
PlanUse toolsExecute workflows
03
Connected Intelligence
Reason across systemsReason across functionsCoordinate specialised agents
04
Adaptive Intelligence
Use persistent contextRemember decisionsLearn from outcomes
05
Adaptive Enterprise Intelligence
Broad understanding across the organisationRelationships with the outside environmentComplex objectives across digital and physical systems
Today, systems know parts of the business.POLARIS IQ is working toward intelligence that understands the business as a whole.
Start today

The vision is large. The starting point is simple.

Nobody deploys the whole architecture on day one. A POLARIS IQ engagement starts with one real business problem.

How an engagement starts
01Choose one process or intelligence problem.
02Connect the relevant information.
03Connect the relevant systems.
04Establish context.
05Configure models and agents.
06Define controls.
07Deploy.
08Measure outcomes, then expand.
POLARIS IQ

Discuss your requirements

Tell us about one business problem. We will come back with how POLARIS IQ would address it and what the first phase would involve.

Which systems are involved? (choose any)
Prefer email? hello@hoki.co
How it grows
01
One use case
02
One workflow
03
Multiple connected workflows
04
Cross-function intelligence
05
Enterprise intelligence
POLARIS IQ · Enterprise Intelligence

An intelligence layer for the entire business.

The models, agents and interfaces will keep evolving. The idea stays the same: connect the business, understand its context, reason across it, act on it and learn from every outcome.

Keep your systems. Add intelligence.