Risk & Compliance · Use Case Hub

Automate Fraud and Risk Triage with AI.

How to automate fraud and risk triage with AI across 1 industries with a scoped engagement page. Workflow design, AI agents, governance, and the KPIs (false positive rate, investigation time, loss avoided, and reviewer throughput) we report on weekly. Pick your industry below.

Projects from $15k · Refundable 7 days · Kickoff within 5 days

Primary outcome

prioritize risky activity before it becomes expensive

What we ship

risk triage assistant, case summaries, investigation workflows, and reviewer QA

KPIs we report on

false positive rate, investigation time, loss avoided, and reviewer throughput

What "automating fraud and risk triage with AI" actually means

Automating fraud and risk triage with AI is not a single product you buy. It is a workflow you redesign around AI as the operating layer. The agent handles the high-volume, high-structure tasks. Humans handle edge cases, exceptions, and trust-sensitive decisions. The system is instrumented to measure false positive rate, investigation time, loss avoided, and reviewer throughput and improve weekly.

What changes by industry is the systems the agent integrates with, the data it retrieves over, the controls it operates under, and the KPIs it has to defend. The architecture is similar; the integration and the controls are different.

The architecture we use for AI fraud and risk triage

  • Frontier LLM — Claude, GPT-4-class, or Gemini. We benchmark candidates on a labelled test set during Discovery.
  • Retrieval layer over your approved internal sources, with source citations on every output.
  • Tool use for reads and writes against your operational stack (CRM, ERP, ticketing, data warehouse).
  • Reviewer queue for low-confidence outputs. Confidence thresholds set per workflow.
  • Evaluation harness — labelled test set, weekly accuracy reports, regression alerts.
  • Versioned prompts and reviewer-action audit logs for traceability.

Pick your industry

1 industries with a scoped engagement page for fraud and risk triage. Each is a dedicated build with industry-specific systems, controls, and pricing.

Frequently asked questions

How do you automate fraud and risk triage with AI?+

We map your existing fraud and risk triage workflow, identify high-volume and high-structure tasks, build an AI agent that handles those tasks, and route low-confidence cases to a human reviewer. The build connects to the systems your industry already runs on, runs against a labelled test set, and ships behind a reviewer queue before it sees production traffic. We measure false positive rate, investigation time, loss avoided, and reviewer throughput from day one and improve weekly.

What is the best AI agent for fraud and risk triage?+

There is no single off-the-shelf "best" agent for fraud and risk triage — the right architecture depends on the systems and data of your industry. We typically combine a frontier LLM (Claude, GPT-4-class, or Gemini) with a retrieval layer over your approved sources, tool-use for your stack, and a reviewer queue. We benchmark candidates against a labelled test set during Discovery and pick the model with the best accuracy/cost ratio.

What does AI fraud and risk triage cost?+

Three phases, billed separately. Discovery sprint: $8k. Build engagement: $30k–$40k. Run retainer: $4k–$6k / mo. ~$52k–$90k typical year 1 (~80% take the run option, regulated workflows need ongoing controls). Pricing varies slightly by industry — see the industry-specific pages below.

How long does it take to deploy AI fraud and risk triage?+

Thin-slice in production in ~6 weeks after Discovery, full Build phase over 8-12 weeks. By day 90, false positive rate, investigation time, loss avoided, and reviewer throughput is instrumented and you have a baseline against which to expand to adjacent workflows.

Which industries do you build AI fraud and risk triage for?+

1 industries listed below have a scoped engagement page for fraud and risk triage, each with industry-specific systems, controls, and KPIs. Common starting industries include Real Estate, and others. Don't see yours? We build for any sector — tell us about your workflow and we'll scope it.

What do we own, and what do you own?+

We own workflow design, prompts, retrieval architecture, evaluation harness, and weekly improvement. You own data access, policy, exception approval, and final commercial decisions. At the end of the engagement, every prompt, eval, and config is handed over — no lock-in.

Selected portfolio

Real builds tied to fraud and risk triage

A rotating selection of engagements where fraud and risk triage was a primary driver, drawn from our active portfolio. Sectors and scope are accurate; client identities are withheld under engagement NDAs.

Q3 2025

Radiology workflow application — case handling and reporting

Medical imaging operator · Europe

Application supporting radiology workflow: case intake, structured reporting, document handling, and quality-assurance loop. Designed for regulated medical-imaging context with audit trail and role-based access.

  • Web app + secure storage
  • Structured reporting
  • Audit-trail compliance

Q2 2026

Authenticated remote voting platform — AGM resolutions, audit trail, EN/AR bilingual

Mid-market property operator · GCC region

Purpose-built e-voting system: per-unit cryptographic authentication, AGM resolution console for admins, real-time tally, full per-vote audit log. Federated identity with the OA management platform so owners use one login. Bilingual EN/AR from day one.

  • Next.js + tRPC
  • Per-unit auth + audit trail
  • Bilingual EN/AR (next-intl)

Q3 2025

Specialist automotive software-optimization site — multi-brand chiptuning

Vehicle optimization specialist · DACH region

Marketing site for an automotive software-optimization specialist serving multiple regions: brand-by-brand service architecture, technical service descriptions accessible to non-technical buyers, lead capture per service, regional-catchment SEO foundation.

  • Next.js + responsive
  • Multi-brand IA
  • Regional SEO

Client identities withheld under engagement NDAs. Sector, geography, and scope are accurate. Full case studies on request.

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Start an AI Fraud and Risk Triage engagement

Tell us about your workflow, the systems involved, and the KPI you want to move. We'll send a scoped statement of work within 5 business days.

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Reply within 1 business day · Mutual NDA on request · No nurture sequence · Production guaranteed by week 7 or 50% back.