A production-grade system live inside your stack
Built on the tools your team already uses — Slack, Salesforce, your data warehouse, your ERP. No rip-and-replace.
AI Engineering
We take the highest-ROI opportunity from your Blueprint and ship it as a production system — spec-driven development, agentic coding, test-driven validation. Each cycle delivers measurable impact before the next one starts.
Get Started NowPrototypes are easy. Production systems your business depends on are not.
The gap between a working demo and a system that survives real load, real data, and real edge cases is where most AI projects die. Internal teams underestimate the work. Generalist agencies overpromise and miss the operational nuance.
An AI system that's down for a day costs more than one that never shipped. The bar is production-grade, observable, and integrated into the systems your business already runs.
- 1 in 5 AI prototypes ever make it to production.
- 60+ production AI systems we've shipped in 18 months.
- 0 rip-and-replace migrations required to deploy our systems.
What ships with every engineering cycle
Spec-driven development, agentic coding, and test-driven validation — production-grade from day one and tied back to the baseline metrics that justify the build.
Full test coverage and observability from day one
Every module ships with regression tests, evals, and dashboards so the system survives the next change to your business.
A measurable change on the P&L tied to the baseline metrics
Cost saved, revenue retained, throughput unlocked — anchored to the numbers established in the Blueprint.
Module by module. Each cycle ships value before the next begins.
Session
Description
What's covered
Spec & scaffold
1–2 weeksDetailed specs go in, production-grade systems come out.
We turn the Blueprint's prioritized opportunity into an executable spec — interfaces, data contracts, eval criteria, rollout plan. No prompt-and-pray.
- Spec-driven development — interfaces and data contracts first
- Eval criteria written before code
- Rollout plan and rollback strategy
Agentic build
2–4 weeksOur engineers run a custom harness that ships at extreme speed without sacrificing quality.
Agentic coding shrinks the cycle time on most engineering work. We use that speed to ship sooner and iterate harder — not to cut corners.
- Production-grade implementation against the spec
- Continuous evals against real data
- Observability and logging wired in from day one
Deploy & measure
1–2 weeksSystems go live inside the tools your team already uses — no rip-and-replace.
Every deployed module ties back to the baseline metrics established in the Blueprint, so the P&L impact is visible from day one.
- In-environment deployment with your auth and controls
- Adoption tracking and live training
- Reporting against the original ROI model
An engineering team that treats your operation as the source of truth.
Spec-driven development
Detailed specs go in, production-grade systems come out. The spec is the contract — everyone knows what's being built before code is written.
Agentic coding harness
Our engineers run a custom harness that ships features at extreme speed without sacrificing quality.
Test-driven evals
Every module ships with regression tests and evals so the system survives the next change to your business.
Deploys inside your stack
Your tools, your data, your auth, your controls. Slack, Salesforce, your data warehouse, your ERP — we extend them, not replace them.
Observable from day one
Logs, traces, dashboards. Full visibility into every action the system takes — and a clean handoff to your team when ready.
ROI tied to baseline metrics
Every system we ship ties back to volume, throughput, FTE load, or error rates established in the Blueprint. The impact shows up on the P&L.
Do we need a Custom AI Blueprint first?
It's not strictly required, but every engagement we do starts with a Blueprint-style diagnostic so we're building against a clear, ranked, ROI-modeled opportunity. If you don't have one, we'll run a lightweight version before the build.
Who handles the integration work?
We do. Our team is full-stack — engineers ship the AI components and wire them into your CRM, warehouse, support tooling, or whatever else the workflow touches.
What does a typical timeline look like?
First production module live in 4–8 weeks from kickoff is typical. Subsequent modules ship faster as the foundations are reused.
How do you handle security and data residency?
Systems deploy inside your environment, with your auth and access controls. We meet your compliance bar, not the other way around.
Can your engineering team work alongside our internal team?
Yes — most engagements pair our engineers with your team. We'll write the specs and the tests so your team can take over maintenance whenever they're ready.
Ready to go AI-Native?
Book an intro call. We'll show you where AI creates real leverage in your operation.
