Applied AI consulting
AI Strategy and Assessment
Decide where AI is useful, what to test first, and what your business needs before investing in a build.
For business leaders sorting through vendor proposals, competing use cases, or pressure to adopt AI without a clear operational problem.
Discuss your workflow
What the engagement produces
Opportunity and readiness assessment
Map candidate workflows, available data, user needs, and operational constraints. Distinguish feasible opportunities from ideas that depend on missing data or access.
Prioritized options
Compare automation, purchased tools, and custom development. Make the tradeoffs visible: expected value, evaluation effort, integration complexity, ownership, and recurring costs.
A written pilot plan
Define a bounded question, acceptance criteria, responsibilities, and dependencies. Give leadership a basis for deciding whether to proceed, revise the idea, or stop.
How we work with your team
- We interview the people accountable for the workflow and the people doing the work. Your team shares existing process measures and approved examples.
- We assess feasibility with technical owners and compare options against your constraints. Uncertain assumptions become explicit questions for a pilot.
- We review the roadmap with decision makers and identify who owns the next step, including evaluation and adoption.
Scope and responsibilities
The assessment informs a decision; it does not guarantee ROI or obligate you to a subsequent build. Your team approves access and supplies business context. Procurement, security, legal, and regulated decisions remain with the responsible owners. Pricing and timing depend on the agreed scope.
Published engagement: a manufacturing roadmap
See how the Regional Manufacturer engagement combined stakeholder interviews, opportunity mapping, a reporting prototype, and a plan for the next phase. Its pilot results are specific to that team.
Read the strategy case study →Prepare for the conversation
Bring the process you want to improve, the tools involved, and examples you are allowed to share. Leave confidential records out of the initial inquiry.
Use the AI readiness checklist →Start with one useful problem
Tell us what your team needs to do, where the current process breaks down, and who will own the result.
Discuss your workflow