Package · AID-03 · 2–3 WEEKS
AI Pilot Design
A defined, measurable AI pilot — engineered for graduation, not abandonment.
Overview
We work with your operations leadership to identify a high-value workflow, design an AI intervention with the right guardrails, and define a working pilot scope with an explicit measurement framework and a path into production.
Who it's for
- Operations leaders looking to deploy AI against a real workflow
- Teams that have run experiments but not reached production value
- Enterprises wanting governed, measurable AI — not science projects
In scope
- Use case identification across up to 3 candidate workflows
- ROI, risk and feasibility assessment per candidate
- Selection of a single pilot workflow
- Solution architecture, model strategy and guardrail design
- Pilot scope, success metrics and graduation criteria
Out of scope
- Pilot build and deployment (delivered separately as a 4–6 week pilot)
- Custom model training at scale
- Long-term ModelOps (delivered under managed services)
Deliverables
- Workflow shortlist with ROI and feasibility scoring
- Selected pilot brief with scope, architecture and risks
- Measurement framework with baseline and target metrics
- Pilot delivery plan and resource model
- Production graduation roadmap
Schedule · 2–3 weeks
Week 1
Workflow shortlisting, stakeholder interviews, baseline data review
Week 2
Selection, solution architecture, guardrails and measurement design
Week 3
Pilot brief, plan, executive walkthrough and sign-off
Outcomes
- A defensible, business-aligned AI investment decision
- A pilot designed to produce measurable operational value
- A clear path from pilot to managed production service
Graduation path
AID-03 typically graduates into a 4–6 week build pilot, then into a managed AI operations engagement.