Automate
the work that matters.
Fact AI Lab deploys production-grade AI that extracts, routes, and processes high-value workflows — 80% faster, with error rates under 0.5%. Built for SaaS, real estate, and financial services. ROI in 30 days, not 6 months.
No commitment required. 30-day automation pilot available.
The automation gap is costing you
Your team spends 10+ hours a week processing documents and routing tasks that AI can handle. The tools exist. The integrations do too. What's missing is a production-grade system that doesn't hallucinate.
Companies automating document-heavy workflows — lease abstraction, loan underwriting, contract review — cut processing time from hours to minutes with AI extraction.
Eval-first deployment means AI outputs are scored against your ground truth before they reach your team. Typical manual processing runs 5–10% error rates.
Most AI pilots take 6 months and produce a demo. We instrument one real workflow, measure the impact, and deliver production automation — in one month.
How we build automation that sticks
Not a chatbot layer. Not a prompt wrapper. Production automation infrastructure — with verification built in so your team can trust what ships.
Up and running in a day, not a quarter
Integration is designed for engineering teams that are already moving fast. Fact AI Lab wraps your existing stack, not the other way around.
Connect
Point Fact AI Lab at your existing LLM endpoints — OpenAI, Azure OpenAI, Amazon Bedrock, or self-hosted. No model changes. No prompt rewrites. Setup takes under 2 hours.
SDK in Python and TypeScript. REST API fallback.
Instrument
Our verification layer intercepts outputs in real time, scores them against your source documents, and appends a cryptographically signed verification record. Average latency overhead: 180ms.
180ms median latency addition in production.
Audit
Every interaction is logged with full provenance: prompt, retrieved context, model version, output, verification score. Export to PDF or structured JSON on demand for any regulator.
SEC, FINRA, FCA, OSFI report templates included.
Ship one automation in 30 days
We identify your highest-ROI workflow, build the automation, measure the impact — and hand it over running. No six-month sales cycle. No PoC graveyard. If it doesn't reduce labor hours in 30 days, you owe nothing.
Start the ConversationPilot Deliverables
- ✓One production automation — live and processing real documents
- ✓Baseline error rate measurement (before and after)
- ✓Labor hours reclaimed — tracked over 30 days
- ✓Data privacy and integration review for your stack
- ✓Roadmap for 2–3 additional automation opportunities
What Clients and Collaborators Say
LinkedIn recommendations alongside anonymized project outcomes from client engagements.
AI extraction pipeline reduced loan document review from 3 days to 4 hours.
VP Operations · BC Credit UnionRAG system resolved 70% of tier-1 support tickets without escalation. ROI positive in month two.
CTO · Series A SaaSAI audit framework surfaced compliance gaps missed by the internal team across 3 review cycles.
Chief Risk Officer · Insurance FirmOur methodology
The SAFE Framework
How we approach every AI deployment — from first conversation to production monitoring.
Every Fact AI Lab engagement follows this framework.

Built by someone who has sat in your compliance team's chair
I didn't build Fact AI Lab because AI is trending. I built it after watching compliance teams at financial firms reject valid LLM use cases because they couldn't explain the outputs to examiners.
The technology to verify AI outputs exists. The infrastructure to make that verification audit-ready — that's what Fact AI Lab provides. Your AI investment should not be a liability. It should be defensible.
Talk to the FounderCommon questions
16 AI workflow with proven ROI for modern Operators
Sixteen production-tested automations — each with the failure mode it prevents and the metric that proves it works.



