Past the demo stage. Agents that handle multi-step work, can recover from tool failures, and stop when they should. We've shipped these in production for research, support triage, and operations.
The reasons clients usually keep us once the first scope ships.
No bait-and-switch from your lead engineer in the pitch to a junior on day one. The people you scope with are the people who build.
We tell you what is in scope, what is not, and where the risks are — in writing, before you sign anything. Surprises kill projects.
You see real, running software every week. If a direction is wrong, you find out in week three, not week thirteen.
The work below is typical — we scope to the outcome, not a checklist.
We are explicit about what an agent can and cannot do. Most "agent" use cases are better served by a deterministic pipeline with one LLM step — we will tell you when that is the case.
Three phases that bracket the work.
A working session to map the outcome, constraints, and the smallest thing worth shipping first. You walk out with a written scope, not a sales deck.
Senior engineers in weekly sprints with live demos. You see progress every week — no surprise reveals at the end.
Production deploy, infra hand-off, runbooks, and team training. We stay on-call through the first traffic spike.
Projects in this pillar — the same skills that power a typical AI Agents engagement.
Daily extraction across 40+ sources with LLM normalization and a review queue. Cut a 3-person manual research team to one reviewer per week.
~30 hrs/week of analyst time recovered
If you do not see your question, just ask. We will tell you straight whether we are the right fit.
Most engagements combine two or three of these.
A 30-minute call, no slides. Tell us the outcome you need and we'll tell you what it takes to ship — honestly.