AI Opportunity Sprint
A structured engagement that clarifies the workflow, value, technical boundaries, and best first product before a large budget is committed to the wrong problem.
A focused departmental sprint will often take approximately two weeks. Complex, multi-department, or enterprise diagnostics are scoped separately.
The output belongs to you and remains useful even if you do not continue with TYPE-OF.
Continuing with TYPE-OF preserves context and shortens the transition from discovery to a controlled pilot.
CORE OUTPUTS
- 01Current workflow and friction map
- 02AI opportunity portfolio
- 03Impact and feasibility matrix
- 04Data and integration requirements
- 05Security and risk requirements
- 06Prioritized product or agent brief
- 0790-day implementation roadmap
- 08Approximate value and investment framework
STANDARD METHOD, CLIENT-SPECIFIC SCOPE
The methodology is identical in every Sprint; scope and price are set per organization.
We do not publish a fixed price. Scope and the proposal are clarified together, driven by the variables that determine the real size of the work.
- 01Departments and processes examined
- 02Interviews and participants involved
- 03Data and system complexity
- 04Integration boundaries
- 05Prototype or technical-validation need
EVIDENCE WHEN USEFUL
A prototype is not a default deliverable; it answers a specific question.
When it can resolve a critical assumption, the Sprint may add a clickable prototype, technical validation, controlled automation, or limited proof of concept. It is not mandatory.
- Clickable UX prototype
- Technical validation
- Controlled automation
- Representative-data demo
- Limited proof of concept