DELIVERY · 4–6 WEEKS · FIXED FEE
Ship one production-grade AI automation. In four to six weeks.
We scope one workflow automation, engineer it, integrate it into your systems, train your team, and hand it off. One fixed fee. One concrete deliverable that runs in production.
WHAT IT IS
One thing. In production. Not a prototype.
Most AI projects stall between proof-of-concept and production. They produce demos that live in notebooks, not systems that run in the real workflow. Someone else makes an impressive video. Nothing shows up in your daily tooling.
The Automation Sprint is structured to avoid this. We pick one high-priority automation candidate — usually surfaced through a Workflow Audit or an internal brief your team already has — and we engineer it to production quality. That means reliable, tested, monitored, integrated, and documented. Not experimental. Not "let's see what happens."
At handoff, your team can run it, monitor it, and modify it without us. That's the benchmark we build to. If we can't hand it off cleanly, we haven't finished the engagement.
WHO IT'S FOR
You know what to build. You want it built well.
Right fit if…
- You have a clearly scoped automation target
- Your internal team can't spare the bandwidth to build it
- You want production-grade quality, not a demo
- You want full ownership and handoff, not a dependency on us
Probably not a fit if…
- You haven't identified which workflow to automate (start with the Audit)
- You need someone to operate the system long-term (we hand off, we don't operate)
- You need a large multi-system overhaul (scope to one thing and expand from there)
WHAT'S INCLUDED
From scoping call to production system.
Scoping document
Detailed specification of the automation: inputs, outputs, integration points, expected behavior, failure modes, and success criteria.
Production automation
Fully engineered, tested, and deployed to your infrastructure. Not a wrapped ChatGPT call — proper pipeline, error handling, logging, and monitoring.
Integration into your existing stack
Wired into your current tools — CRM, ERP, email, internal APIs — not a standalone experiment that requires its own access spreadsheet.
Full technical documentation
Architecture diagrams, environment setup, data flows, prompt templates (where applicable), and runbook for your team.
Team training session
One or two hands-on sessions with the operators who will use the system daily — not a slide deck, a working walkthrough.
30-day post-launch support window
Bug fixes and critical adjustments within 30 days of handoff, at no additional cost. Edge cases always surface in the first month.
PROCESS
Four to six weeks. Fewer meetings than you expect.
Week 1
Scope lock
Finalize the spec, agree on success criteria, access credentials, and integration targets.
Weeks 2–3
Core engineering
Build and test the automation pipeline in a staging environment. Weekly check-in call to align on progress.
Week 4
Integration & hardening
Connect to production systems. Load test. Fix edge cases. Write the runbook and documentation.
Weeks 5–6
Handoff & training
Go live, train the team, close open issues, and transfer all assets and credentials to your team.
OUTCOME
A system your team can run without us.
The goal isn't a working demo. The goal is a running system that survives the first 90 days in production — including the edge cases, the user errors, and the scenario where the API key expires at 3am on a Tuesday.
Teams typically see ROI within the first two weeks after launch. The most common metric reported back: hours saved per week on the specific workflow we automated, usually 8–15 hours for a three-to-five person team.
Everything is fully transferable. Source code in your repository. Credentials in your vault. Documentation in your wiki. If you decide to bring all future AI work in-house, you have everything you need to do that.
FAQ
Common questions.
What does a Sprint cost?
Flat fee, scoped per engagement based on complexity and integration surface. We'll quote it after the scoping call.
What technologies do you use?
Python, TypeScript, and whatever LLM fits the task (OpenAI, Anthropic, or open weights). We integrate with any API-accessible system.
What if we need more than one automation?
Start with one. Get it running well. The second is always easier to justify — and to budget for — once the first one is saving real time.
Do you run it after handoff?
No. We hand off completely. If you need ongoing operations, we can refer you to managed service providers — that's not our model.
What infrastructure do we need?
We work within your current stack. If you're on AWS, GCP, or Azure, we deploy there. If you need guidance on cloud setup, we'll include that in scoping.
Can we run a Sprint without a Workflow Audit?
Yes, if you already have a clear and well-scoped target. Many clients come to the Sprint directly with their own internal analysis.