The questions buyers actually ask.

Copilot is strong at personal productivity, and most clients should keep it. It does not know your estimating logic, carry a quote from request to approval, or answer from a knowledge system you govern. We build that workflow layer. Copilot assists individuals; AI employees carry the workflow.

No. We build systems your existing IT team can run and train them during the engagement. If the team is not ready at handover, managed operations covers the gap until it is.

Fixed fees, quoted before we start. Workflow Discovery, the 90-Day Foundation (scoped to one measurable workflow result), and managed operations. Go/no-go gates mean you can stop at weeks 2, 4, or 10 and keep everything produced.

A supervised AI employee in one channel typically inside six weeks. A full foundation (knowledge systems, harness, first agent in production) in ninety days. We publish the week-by-week anatomy on the How We Engage page.

The model is the most replaceable part of the system. Your knowledge graph, skills library, and harness can outlive a model release. When a better model becomes available, we test it against the same workflow before changing the production route.

No. Never ours, never a provider's, under the configurations we deploy. The full detail, including where data lives and what we access, is on the Security page.

We document the result at a gate and recommend stopping. You keep the workflow map, architecture sketch, and everything built to that point.

The workload decides. High-volume or sensitive work often favors local hardware, while infrequent tasks that need the strongest available model may favor frontier APIs. Many deployments use both with documented routing rules.

Rakesh leads the work with specialist engineers from a small trusted bench. Maslow accepts no more than two Foundation engagements at a time, which keeps him directly involved after kickoff. If both slots are full, we give you the next available start date and can complete Workflow Discovery beforehand.

A workflow owner for about two hours a week, a decision-maker at three milestone gates, and scoped read access to the systems the workflow touches. No war rooms, no steering committees.

Yes. We use open formats, document the skills, provide playbooks, and train your team in weeks 11 and 12. Handover is part of the engagement plan.

Everything lives in your repositories and your tenant from day one: code, pipelines, prompts, skills, vector stores, graphs. Open models where they clear the quality bar. Firing us is a permissions change. We put it in the contract.

Code, pipelines, skills, documentation, and weekly status history live in your repositories from day one. Specialist engineers on the engagement work under the same commitments and can continue against that record. A substitute cannot replace Rakesh's judgment overnight, but the work remains accessible and documented while availability is resolved.

Yes. Send it early. The diligence pack maps our controls to standard questionnaire fields, lists subprocessors and retention terms, and documents exit paths. We return written answers for anything the current pack does not cover.