Explore the portfolio by the business outcome being chased: Win the Moment, Keep & Grow, Stop the Threat, Turn Crisis Into Loyalty, Maximize Every Interaction, or Empower the Front Line.
Redis assembles history, live state, features, and policy in the same response path before the surface renders or the workflow advances.
The HTML pages are presentation-ready for customers. Presenter narration, pacing, and technical depth live in the linked script files.
Redis Context Retriever generates MCP tools from the applicant schema — get_credit_profile(), get_income_signals(), get_fraud_risk(), get_policy_eligibility() — so the AI underwriting agent calls governed interfaces instead of writing custom integrations.
The decision is not just approve or decline. It is approve, step-up, conditionally route, or cross-sell the right lending path in the same session.
Redis lets the retailer decide margin-aware promotions and risk-aware checkout actions in one pass.
Redis turns scattered account, inventory, margin, and policy data into a quote decisioning cockpit.
Generic bonus banners become contextual offer decisions that can choose the right promotion, a lower-friction promotion, or no promotion at all.
Agent workflows become ranked next-best-action decisions using customer history, live context, and policy in one response path.
Redis helps the advisor walk into the right conversation with a ranked retention and growth play before the client meeting starts.
Usage, service quality, contract state, and offer eligibility combine into a live churn-save decision path.
Miles balance, expiration urgency, seat inventory, and tier momentum converge at check-in to deliver a personalized upgrade offer — not a generic banner for every economy passenger.
The home surface becomes a real-time next-best-game decision powered by session context, entitlements, social graph, and live ops.
Redis turns fragmented identity verification (KYC), compliance monitoring (AML), and fraud signals into a real-time ranked trust and review path.
The platform balances approval, payout protection, and delivery promise quality in one live order path.
Redis assembles card state, geo velocity, and spending deviation into a sub-20ms authorization decision that blocks fraud before the charge settles.
Vehicle telematics, DTC fault codes, route risk, and parts availability combine into a proactive maintenance decision before the vehicle leaves the yard.
Operational context and customer context combine to rebook, compensate, or escalate before the disruption becomes churn.
Redis ranks the best shipment recovery play before dispatch falls back to manual triage and blanket expedites.
Predictive maintenance becomes a ranked service action with the right technician, part, and response path.
Asset telemetry, service history, and parts state turn into the next best maintenance action before downtime compounds.
Live context, audience state, and policy combine into a better ad and monetization decision path.
The landing page becomes a real-time routing decision across sportsbook, casino, slots, and wallet actions.
The platform chooses the best next experience, not just the next title, using live session and monetization context.
Redis Iris — Context Retriever and Agent Memory — turns a fee complaint from a high-value customer into a retention moment. The agent knows what happened last time before the customer finishes their first sentence.
Eligibility, capacity, history, and urgency combine into a better next step for appointment access and outreach.
Claims become ranked next-action decisions across fraud risk, routing, documentation, and service urgency.
Generic reference architecture: how RDI, Context Retriever, Agent Memory, Redis Search, and LangCache fit together as a unified platform between enterprise data sources and AI agents. Use this as the whiteboard starting point for any Iris conversation.
The Redis Eats food delivery demo: RAG chatbot vs Redis Iris-powered agent. Shows the full 7-phase pipeline — LangCache, Agent Memory, 62 auto-generated Context Retriever MCP tools, SemanticRouter guardrails, and LangGraph ReAct agent over GPT-4o.