Lumen AI
Document intelligence for professional services
AI-assisted document extraction, review and Q&A for law, accounting and consulting workflows.
The team needed a ai / prof. services solution that document intelligence for professional services — without the fragility of stitched-together tools or the overhead of a full custom platform on day one.
We ran a focused discovery, defined the smallest end-to-end slice that would prove the model, and built on Python + OpenAI so the platform could grow without a rewrite.
A prototype product with clear metrics, a documented architecture, and a delivery cadence the internal team can sustain.
Objectives
What we set out to achieve together.
- Establish a scalable ai / prof. services foundation aligned to the business model
- Ship a production-ready experience that document intelligence for professional services
- Instrument analytics, observability and quality gates from day one
- Hand over documentation, playbooks and support pathways for the internal team
Tech stack
The tools chosen to keep the platform reliable, observable and easy to evolve.
- Python
- OpenAI
- Postgres
- React
Milestones
A phased delivery designed to de-risk each stage.
- 1Week 1–2Discovery & architectureStakeholder interviews, competitive review, information architecture and technical blueprint approved.
- 2Week 3–5Design system & core flowsBrand-aligned design system, high-fidelity flows for the primary journeys, and accessibility baseline.
- 3Week 6–9Build & integrationImplementation across Python, OpenAI, Postgres and supporting services, with automated testing and staging environments.
- 4Week 10–12Launch & handoverPerformance, security and SEO audit, phased rollout, monitoring dashboards, and team enablement.
Results & impact
- Extraction
- Doc Q&A
- Audit trail
Have a similar project in mind?
Tell us what you're building — we'll come back with a clear plan, timeline and price.