Enterprise AI Deployment Sprint
One high-value workflow, taken from current state to a tested production system — or an explicit production-readiness milestone, if the remaining blockers are yours rather than ours. Fixed scope, fixed fee, agreed acceptance test.
Scope-dependent, $10,000–$15,000
Ten artifacts, each answering a question you would otherwise ask later.
Every one of these is a thing you keep. If the sprint ends and your team cannot operate, debug and extend what we built, we did it wrong.
- 01Workflow + exception map“Do you actually understand how our operation works?”
- 02Baseline and target KPI“What business result are we buying?”
- 03Architecture and control boundaries“What exactly are you building, and where does it run?”
- 04Working end-to-end vertical slice“Can this actually operate with our systems?”
- 05Eval dataset + acceptance threshold“How will we know whether the AI works?”
- 06Integration implementation“Can it access the tools and data needed to do the job?”
- 07Failure, fallback and escalation design“What happens when it is uncertain or wrong?”
- 08Production / readiness release“Can this leave the demo environment?”
- 09Runbook + handoff“Are we dependent on you forever?”
- 10Expansion map“What becomes possible if this succeeds?”
Four weeks, assuming dependencies arrive on schedule.
The gate is the product. A sprint that ends in “not yet, and here is precisely why” is a useful outcome; one that ends in an unmeasured demo is not.
Agree the boundary
We fix the exact workflow, the systems in scope, the dependencies you own, the acceptance criterion, and what is explicitly excluded. Nothing starts until that is written down.
Discovery and architecture
Sessions with the operators who run the process. Workflow and exception map, baseline KPI, target architecture and control boundaries.
Build, integrate, evaluate
A working end-to-end vertical slice against your real systems, an eval dataset with a thresholded acceptance test, and failure, fallback and escalation design.
Gate, release, hand off
Eval report and go/no-go. Controlled release or a documented production-readiness milestone, plus runbook, observability and an enablement session with your team.
- A named executive sponsor and an operational owner for the workflow
- Least-privilege access to the systems in scope, provisioned in week 1
- Time with one or two subject-matter experts who actually run the process
- Representative data, or an agreed path to it
- A security and data-access approver who can move inside the sprint window
- Large-scale data migration
- Major legacy-system redevelopment
- Certification audits
- Undefined organization-wide “AI transformation”
- Dependencies controlled by third parties
Illustrative only. Real figures come from your workflow, your data and the acceptance test we agree together.