Payment fraud
Predict fraud on cross-account and device signal, then freeze or hold the transaction before it settles.
Use cases
Each one predicts. Then it acts.
More than thirty use cases, each built to surface the graph, score the outcome, and take the action it implies, governed and audited. The catalog below pairs every prediction with what the agent does about it.
Risk, fraud & financial crime
Mule-ring detection
Surface rapid pass-through rings and quarantine the whole ring of accounts at once.
Account takeover
Detect a compromised account from behavior and step up authentication in the moment.
Credit underwriting
Score default risk on relational history and decision the application, with explainable drivers.
AML & suspicious activity
Rank alerts by graph risk and open a structured case where it matters, with evidence attached.
KYC remediation
Prioritize the queue by risk and route each file to the right reviewer, fully audited.
Insurance claim fraud
Spot collusion rings across claimants and providers and flag or hold the claim.
Chargeback prevention
Predict disputes early and intervene before the revenue leaks.
Growth, marketing & sales
Churn & retention
Predict attrition and launch the right save play automatically, before the customer leaves.
Customer lifetime value
Project LTV and route spend and offers to the customers worth investing in.
Lead scoring
Rank leads on firmographic and product-graph signal and assign them to the right rep.
Trial-to-paid
Predict which trials convert and trigger the nudge for the ones that need it.
Next best action
Serve each customer the single highest-value action, on the channel that reaches them.
Win-back
Re-engage lapsing customers the instant the signal turns, not next quarter.
Cross-sell & up-sell
Surface the next product each account will take and present the offer in context.
Marketing attribution
Attribute conversions across the full interaction graph and reallocate spend.
Personalization & recommendations
Product recommendations
Serve the next-best item from the interaction graph, no hand-tuned features.
Content recommendations
Rank and deliver personalized feeds that adapt to each user's graph.
Personalized ranking
Re-rank search and listings per user from behavioral signal, in real time.
Search relevance
Boost relevance with graph-aware understanding of users and items.
Forecasting & operations
Demand forecasting
Forecast demand across the supply-chain graph and trigger the replenishment.
Inventory optimization
Right-size stock per location and place the order automatically.
Predictive maintenance
Anticipate equipment failure from asset graphs and open the work order.
Logistics & ETA
Predict delays and reroute or re-promise before the customer is affected.
Price optimization
Set prices from learned elasticity and apply them within your guardrails.
Capacity & load forecasting
Forecast network and infrastructure load and scale ahead of demand.
Trust, safety & advertising
Trust & safety
Classify harmful content and behavior and action it, from throttle to removal.
Bot & abuse detection
Catch coordinated inauthentic behavior from network structure and block it.
Spam detection
Identify spam from sender-recipient patterns and quarantine in the pipeline.
Ad targeting
Predict conversion lift and shift budget to the audiences that respond.
Industry-specific
Patient outcomes & readmission
Predict readmission risk and trigger the outreach or care step.
Network performance
Forecast telecom quality and degradations and pre-empt them.
Player churn & LTV
Predict game churn and spend and fire the right in-game offer.
Property valuation
Estimate value from comparables and location graphs and surface the match.
Student outcomes
Flag dropout risk early and prompt the intervention.
Platform tools
Entity resolution
Resolve identities and buyers with a deterministic-first graph and write the canonical link back.
Predictive routing
Route work and traffic with an adaptive predictor that learns online.
Benchmark lab
Bring your own labelled data and measure uplift: local vs. local plus graph engine.
Don't see your action? It is probably a connector away.
If your problem lives in relational data and ends in a decision, AhinsaAI can predict it and act on it. Tell us the outcome and the action, and we will show it running on your data.
We will reach out within one business day.