Checklist execution
Runs DD checklists across documents with exception flagging and reviewer queues.
DD checklist execution and exception flagging at scale.
Executes DD checklists, flags exceptions, and assembles reviewer-ready evidence packs across data rooms with 10,000+ documents.
Runs DD checklists across documents with exception flagging and reviewer queues.
Assembles reviewer-ready evidence with citation lineage to source documents.
Drafts risk memos with cross-document synthesis and counter-arguments.
Every solution comes with a calibrated eval suite, runbooks, and integration guides - so your team can take ownership from day one. Self-hosted, hybrid, or fully managed.
Align on data, integrations, and policy. Calibrate the eval golden set.
Wire integrations, configure tools, and stand up the runtime in your cloud.
Shadow on live traffic, ramp on evals, and ship to production with rollback.
Yes - tested on data rooms with millions of pages. Indexing scales horizontally with reviewer-friendly progress tracking.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.