Accepting a limited number of projects.
FRAMEFixed scope≈2–3 weeks

AI Opportunity Assessment & Roadmap

Replace “we should do something with AI” with a defensible plan—grounded in real workflows, data reality, risk posture, and measurable outcomes.

What you get

Clear, inspectable artifacts leadership can use.

  • AI Opportunity Map: 8–15 candidate use cases tied to real workflows
  • Readiness Snapshot: data, tools, people, process, and change readiness
  • Risk & Governance Lite: safe-use rules, data handling notes, and tool guidance
  • Prioritized Roadmap: 30/60/90-day plan plus 6–12 month recommendations
  • Pilot Brief: a right-sized Quick Win Pilot recommendation (scope, KPI, timeline)

How it works

A timeboxed path with required sessions and a forced decision.

Required events
  • Kickoff + goals alignment (60 minutes)
  • 3–6 stakeholder interviews (owner/ops/finance/frontline/IT if present)
  • Use-case workshop (60–90 minutes)
  • Readout + decision packet (60 minutes)
Completion criteria
  • Opportunity Map delivered and reviewed live
  • Roadmap delivered with owners, prerequisites, and checkpoints
  • Guardrails draft delivered (or updated)
  • Proceed / Pause / Stop decision enabled

Fixed-fee options

Pick the smallest scope that creates a real decision.

Light (≈2 weeks)
$3,000 fixed
Best when you need fast clarity on 1–2 workflows.
Standard (≈3 weeks)
$5,000 fixed
Best when you have multiple stakeholders and more workflows to evaluate.

FAQ

Next step: a scoping call
We’ll confirm fit, constraints, and which fixed-fee option is appropriate. If it’s a match, you’ll receive a fixed-scope proposal.
At a glance
Duration: ≈2–3 weeks
Pricing: $3,000–$5,000 fixed
Ideal for: Teams who need clarity before buying tools or building anything
Start requirements
  • Accountable sponsor + day-to-day point of contact
  • Stakeholders available for required sessions
  • Data handling rules confirmed (what can/cannot be shared)
  • Representative workflow artifacts available (SOPs, forms, examples)
Explicit non-goals
  • No implementation, automation, or production build
  • No vendor procurement or contract negotiation
  • No full infrastructure audit
  • No custom model training