The Platform

The Enterprise Decision
Intelligence Platform

One engine connects every operational decision, predicting outcomes, prescribing the next best action, and learning from results across claims, customers, fraud, pricing, and revenue.

Architecture

How the decision engine works

01

Enterprise Data

Unify claims, policy, billing, transaction, and customer data, batch or streaming, no rip-and-replace.

ClaimsPolicyBillingCRM
02

Decision Engine

Features, context, and business constraints come together as the engine that powers every module.

Feature storeContextConstraints
03

Predictions

Risk, lifetime value, propensity, and severity, scored at the level of a single entity, not a segment.

RiskLTVPropensitySeverity
04

Recommendations

Predictions become a next best action chosen against your objective: ROI, margin, or processing cost.

Next best actionUpliftOptimization
05

Business Outcomes

Actions flow to agents, queues, and systems, then outcomes are measured against a holdout.

RoutingWorkflowsMeasurement
06

Continuous Learning

Results feed back as labels and experiments, so every decision improves with the next cycle.

ExperimentsRetrainingFeedback
Modules

Six modules. One decision language.

Each module ships predictions and prescribed actions through the same engine, so your retention, claims, and pricing teams operate on one source of decisions.

Customer Intelligence

Predict churn and lifetime value, then prescribe the next best action for every account: retain, offer, or leave alone when ROI is low.

Churn & lapseLTVNext best actionUplift

Claims Intelligence

Classify claims by complexity, automate the routine, route the complex, and surface fraud indicators with decision-support summaries.

TriageAuto-clearRoutingDocument AI

Pricing Intelligence

Estimate customer-level price sensitivity, optimize discounts, and protect margin on renewal and new business.

Price sensitivityDiscount ROIMargin guard

Fraud Intelligence

Score anomalies across claims and transactions and prioritize investigations, built to assist SIU teams, not replace them.

Anomaly scoringPrioritizationNetwork signals

Marketing Intelligence

Segment by predicted response, allocate budget where it converts, and personalize offers at the individual level.

SegmentationBudget allocationPersonalization

Revenue Intelligence

Rank upsell and cross-sell opportunities and prioritize the accounts where sales effort earns the most.

UpsellCross-sellSales prioritization
Why a decision layer

The next layer of the enterprise stack

ERP
Resources
CRM
Relationships
Cloud
Infrastructure
AI
Prediction
OKEMA
Decision Intelligence

ERP organized resources. CRM organized relationships. Cloud organized infrastructure. OKEMA organizes decisions, the layer that finally turns all of it into action.

Platform FAQ

Do we need to replace our existing systems?

No. OKEMA reads from the data and systems you already run, claims, policy, billing, CRM, and writes recommendations back into your existing workflows and queues.

How is this different from a BI dashboard or a churn score?

Dashboards describe what happened and a score predicts what might. OKEMA prescribes what to do next and measures whether it worked, closing the loop from prediction to action.

How do we know the decisions actually work?

Every recommendation is measured against a holdout and tracked over time. You see realized uplift, not just model accuracy, and decisions retrain on those outcomes.

Where do we start?

With an AI Opportunity Roadmap, a focused engagement that identifies and quantifies the highest-value decisions before any platform commitment.

See the platform on your data

Start with an AI Opportunity Roadmap. We'll map where the decision engine creates the most value first.

Book an AI Opportunity Call →