A representative sample of operational AI systems I design and ship across sectors. Each one targets a recurring bottleneck — not a side experiment.
Reviews incoming agreements, flags clauses that diverge from the firm's playbook and prepares a first-pass redline for a human reviewer. Citations preserved, audit trail intact.
Combines pricing, supplier risk and internal demand signals into a recurring recommendation per category, with rationale and a confidence indicator.
Classifies inbound email, extracts structured data, updates the CRM and only routes to a person when human judgment is genuinely required.
A private copilot grounded in internal manuals and historical files. Answers with citations, helps draft responses, and keeps data inside your environment.
From discovery notes to a structured proposal with consistent pricing logic. Versioned, auditable, integrated with the CRM.
An automated intelligence loop: pulls signals from internal tools and external sources, synthesizes a one-page brief with clear BUY / WAIT / AVOID calls.
Each one follows the same delivery approach — see the three-step process for how engagements are scoped and shipped.