Read the queue
Exposure, RAG mix, SLA pressure and missing evidence are surfaced before an underwriter opens a case.
RiskFlow AI for financial services
Underwriting decisions, orchestrated with evidence and control.
RiskFlow AI is an underwriting agent that sits in front of the operating queue: it triages live work, reviews evidence, runs specialist decision paths and prepares auditable recommendations for human approval.
Developed by
Why we built it
Underwriting is not a chatbot problem.
Financial services teams need speed, but not at the cost of authority, evidence, accountability or audit readiness. RiskFlow AI is built around a controlled operating model: chat-first orchestration, underwriting-specific agents, retrieval-backed case context and governance before action.
RiskFlow AI targets underwriting and risk review, with an operating pattern that can extend to claims, credit packs, compliance case work and other decisions where the answer needs to survive internal challenge.
Developed by Cognita Reply
Enterprise AI engineering for secure, governed adoption.
RiskFlow AI is developed by Cognita Reply, bringing enterprise AI delivery, governance, scalability and human-centered design into financial services underwriting workflows.
How it works
A controlled loop from queue signal to decision package.
Ask the orchestrator
The chat acts as a control layer for case questions, portfolio pressure and next-best-action requests.
Run specialist review
Triage, Evidence, Appetite, Governance and Action specialists produce a visible operating trace.
Prepare governed action
Recommendations are packaged for reviewer or supervisor approval instead of being applied invisibly.
Operational proof
An enterprise workspace for underwriters and risk teams.
The reviewer can move from queue triage to chat, from chat to case evidence, and from evidence to governed submission without losing the decision trail.
Queue intelligence
A portfolio view that tells reviewers where pressure is building.
RiskFlow starts with case load, risk mix and evidence gaps so the team can prioritise work before asking the agent anything.
Specialist harness
The underwriting chat is an orchestrator, not a generic assistant.
Each answer can call the right specialist path and show how triage, evidence, appetite, governance and action review contributed.
Evidence review
Case facts, documents and appetite blockers stay in one decision surface.
The underwriter sees what is missing, what changes the risk posture and what should be escalated before any workflow move.
Governance model
The agent can recommend. The business stays in control.
RiskFlow AI makes the reasoning path visible so decisions can be inspected, challenged and handed to oversight. It is designed for teams that need operational leverage without turning underwriting authority into a black box.
Human authority
Green, amber and referral outcomes remain accountable to reviewer and supervisor controls.
Evidence trail
Prompts, specialist runs, case facts, recommendations and submissions are visible after the decision.
Policy-aware operation
Policy Watch checks market and portfolio signals before they are allowed to affect case work.
Policy Watch
Market and policy signals are checked before they touch the book.
Policy Watch runs a governed assessment for signals that may affect appetite, portfolio exposure or control requirements. The result is reviewed before cases are changed or escalated.
Policy signalPortfolio impactGovernance hold
Target market
Built for financial services workflows where evidence is the product.
Commercial underwritingSpecialty insuranceCredit and lending packsClaims evidence reviewCompliance operationsVendor and onboarding risk
Enterprise workspace
Enter workspaceSee the underwriting agent in motion.
Open the workspace to review case queues, run the orchestrator, assess Policy Watch and check the governance console.