SERVICES

Four AI use cases. One team owns each into production.

The team that scopes it builds it, sits on-site, and stays on-call. You report a live result to the board this quarter, not a roadmap.

AI Copilot Deployment

A workplace assistant people actually use. Wired into your internal knowledge, tools, and permissions, with every answer sourced and verifiable, living right inside Slack, the browser, and the systems you already work in.

5–6 weeks · To first launch

100% · Answers sourced, every one verifiable

VPC · Data stays in your environment

Agentic Workflow

Cut cross-department review cycles from days to minutes. Supervised agents handle routine cases and escalate exceptions to humans, every run logged, every rollout gradual.

Days → Minutes · Cross-department review cycle

80% · Routine cases auto-handled

5% → 100% · Gradual canary rollout

RAG Knowledge System

Turn enterprise documents and data into answers you can actually trust. Every answer cites its source, retrieval respects your permissions, and you watch retrieval quality as a number against eval benchmarks.

100% · answers with citations

6 weeks · to production

SOC 2 / GDPR · compliant deployment

MVP Development

Turn an idea into a real, shippable, testable product in weeks, not quarters. One team carries it from strategy and design through development and deployment, shipping something you can see and use every week.

~6 weeks · Average MVP delivery

1 · One team, strategy to deploy

Weekly · A real build you can test

AI workflows,
built into your operations

We deploy forward — FDE and FDM — to build the AI agents and workflows your team runs on. Live in weeks, not quarters.

Book a 30-minute consult