Question 1

How fast can a Engineering team see results?

Accepted Answer

Two weeks from kickoff. Our AI Sprint puts a working version of one workflow — usually one of Workflow Automation, Internal Knowledge, Content Production — into production by Day 10. Custom AI infrastructure, evals, and guardrails so your team can ship AI features confidently — and own the codebase.

Question 2

What does the team need to bring on Day 1?

Accepted Answer

One owner from your side, access to the data and tools the workflow already uses, and a clear definition of "done." We handle the rest — model selection, prompts, evals, integration, and handoff documentation.

Question 3

Will this replace anyone on the team?

Accepted Answer

No. Every system we ship for a role is built to make the existing team faster and more strategic, not smaller. The patterns that win in production keep humans in the loop on judgement calls and let AI absorb the repetitive work.

Question 4

How much does this cost?

Accepted Answer

Fixed fee per sprint, paid in halves. Most role-focused engagements land between twenty-five and sixty thousand dollars depending on integration depth. No retainers, no per-seat licenses.

Question 5

Do you work with our existing stack?

Accepted Answer

Yes. We meet your team in the tools you already use — your CRM, CMS, data warehouse, model provider, and ticketing system. We avoid net-new SaaS unless there is a clear reason to add one.

Question 6

How do we get started?

Accepted Answer

Tell us about the workflow on the start a project page. We reply within one business day with a fixed-fee scope or an honest "this is not a fit." Most teams kick off within two weeks of the first call.

AI for Engineering.

Where we ship most often for Engineering teams.

Two-week sprint delivery, every time.

Scope the bottleneck

Design the system

Build and validate

Ship and transfer

Use cases this role tends to need.

One workflow. Two weeks. Fixed fee.

Other roles we ship for.

Common questions from leaders in this role.