Build — Production AI & Agents
We design and ship the system — agents, integrations, and the production scaffolding that makes them trustworthy — live in your stack in weeks.
What it is
Build is the work the rest of the ladder leads to: we take an AI idea and put a real system into your production stack. Agents that do work, wired into your data and tools, with the unglamorous scaffolding — evals, guardrails, human-in-the-loop gates, audit trails — that makes them safe to depend on.
We start with a fixed-scope Build Sprint: idea to a working, deployed system in four to eight weeks. From there it scales to full platform builds on milestones. Either way, what ships runs in your environment, clears your security review, and comes with the handoff your team needs to own it.
Who it’s for
- → Teams with a validated use case ready to become a real system
- → Orgs that need AI inside their stack, behind their security boundary
- → Leaders burned by demos that never reached production
- → Anyone who needs the eval, audit, and guardrail layer done right
What you get
A system in production — and everything that keeps it trustworthy.
A working, deployed system
Running in your stack, integrated with your data and tools — not a prototype on our laptop.
Agent orchestration & integrations
The agents, tool use, and connections into the systems you already run, designed to do real work.
Evals & guardrails
An evaluation harness plus the guardrails, approval gates, and layered prompt-injection defense that keep it in bounds.
Human-in-the-loop & audit trail
Approval gates at every high-risk step and a full, reviewable record of what the system did and why.
Security-cleared deployment
Zero-egress patterns (VPC/PrivateLink, Claude via Bedrock), secrets handled properly, pipeline scanning — built to pass your security team.
Runbook & team handoff
Documentation, a walkthrough, and the eval suite — so your team can run, trust, and extend it after we leave.
How it works
The Build Sprint: idea to live in 4–8 weeks.
Then milestones, at scale
- 01 Week 1
Scope & design
We lock the target, success metrics, architecture, and eval plan. Everyone agrees on what “working” means before we build it.
- 02 Weeks 2–6
Build
We build the system — agents, integrations, evals, guardrails, human-in-the-loop — in tight loops you can watch, not a black box.
- 03 Weeks 6–7
Harden & deploy
Security review, zero-egress deployment into your environment, and testing against real data and the edge cases that break demos.
- 04 Week 8
Handoff
Runbook, a walkthrough with your team, and the eval suite you own. Larger platform builds continue from here on milestones.
How we engage & price
Fixed-scope to start.
Milestones to scale.
Every Build starts with a fixed-scope Build Sprint — one agreed price for a defined outcome, four to eight weeks. You get a working system, not an open-ended retainer, and you know the cost and the deliverable before we begin.
Larger platform builds continue on milestones — each a scoped, billable increment with its own deliverable — so spend always tracks shipped work. Where we genuinely control the outcome, we’ll structure part of the fee against it.
Ready to ship the real thing?
Tell us what you’re trying to build. We’ll tell you whether AI is the right tool, how we’d build it, and what it would take — no decks.
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