Corint Agent

An AI agent for continuous risk operations.

Corint Agent turns daily risk work into an AI-assisted operating loop: understand business context, investigate anomalies, evaluate models, generate strategies, backtest changes, and deliver review-ready outputs.

It lets risk teams move beyond ad hoc SQL, notebooks, BI dashboards, and manual reporting, while keeping production changes governed, explainable, and auditable.

Risk operating loop

Closed-loop
1

Understand

Build risk context

Parse business goals, data assets, risk definitions, permission boundaries, and operating constraints.

2

Analyze

Find risk patterns

Connect metrics, rules, models, cohorts, channels, and entity behavior to explain what changed and why.

3

Optimize

Improve strategy mix

Recommend feature, model, rule, and threshold changes that balance approval rate, risk cost, and review load.

4

Validate

Backtest before rollout

Replay historical traffic, compare candidate strategies, estimate impact, and prepare a human review package.

5

Deploy & Monitor

Close the feedback loop

Hand approved strategies to Corint Decision, monitor results, and use outcomes to improve the next iteration.

Natural language workflow

Describe the goal. Agent runs the risk work.

1

Intent

Describe the risk question

Example: “Find why overdue rate increased in the last 7 days for this market.”

2

Context

Map data and business meaning

Locate datasets, metric definitions, entity relationships, model outputs, and existing policy logic.

3

Analysis

Run investigation and evaluation

Detect anomalies, segment affected populations, review model stability, and trace strategy behavior.

4

Delivery

Produce executable recommendations

Generate evidence, charts, strategy changes, backtest results, and an executive-ready summary.

Risk semantic layer

From raw data to executable risk context.

Corint Agent is not just a chat interface over databases. It understands business entities, data semantics, metric definitions, and risk policies so analysis can be grounded in the way your risk team actually operates.

  • +Connect databases, warehouses, object stores, files, and internal systems.
  • +Understand schema, field meaning, metric definitions, and data coverage.
  • +Identify applicants, devices, orders, contacts, transactions, and relationship networks.
  • +Create grounded risk context for analysis, modeling, strategy optimization, and reporting.

Security & governance

Enterprise AI needs control, not just intelligence.

Access control

Scope data sources, tables, fields, files, tools, and actions by role and workspace.

Execution boundaries

Use read-only or sandboxed execution for sensitive environments and require approval for production changes.

Human-in-the-loop

Keep analysts and risk owners in control of strategy changes, deployments, reports, and sensitive actions.

Audit trail

Record data sources, reasoning paths, generated outputs, approvals, and execution history for review.

Continuous operations

Keep risk work running after the first answer.

Agent can continuously inspect, monitor, analyze, backtest, and follow up on recurring risk operations instead of waiting for every task to be manually started.

Inspection

Continuously check metric movement, rule hits, model performance, data drift, and operational exceptions.

Monitoring

Track strategy outcomes, alerts, feedback, and business impact after rollout.

Anomaly detection

Identify overdue, fraud, channel, cohort, limit, and policy interaction anomalies.

Backtesting

Evaluate rule, model, and threshold changes before they affect production users.

Continuous execution

Keep investigation, review, reporting, and follow-up tasks moving without repeated manual initiation.

Artifacts & workspace

Turn analysis into reusable assets and running apps.

Corint Agent keeps outputs out of one-off conversations. Reports, evidence, dashboards, monitoring tasks, and review workflows become shared assets across Web, IM, CLI, APIs, and internal systems.

Strategy comparison reports

Evidence packs and reasoning traces

Executive risk dashboards

Reusable investigation templates

Monitoring and alert apps

Review and remediation workflows

Agent + Decision

Agent creates and validates. Decision executes in production.

Corint Agent is the operating layer for analysis and strategy work. Corint Decision is the deterministic execution engine for approved RDL strategies in real-time traffic.

Explore Corint Decision