Start with the business constraint, not an AI feature.
A promising demo does not establish business value. The assessment begins with the work itself: how information moves, where judgment matters, which systems hold the data, and what outcome would justify an investment.
The result narrows the field, exposes dependencies, and puts each opportunity in a practical sequence. It may support an AI build, foundational work, conventional automation, or no AI work at all.
A useful recommendation should be
Clear enough to fund, sequence, defer, or reject.
Six concrete deliverables, all in writing.
The assessment documents findings, assumptions, dependencies, and next decisions so your team can use it after the final working session.
Workflow and constraint review
A focused look at where time, cost, handoffs, and risk accumulate across the parts of the business in scope.
Technology and data inventory
An honest account of the systems, data, access, and process foundations each possible AI use case would depend on.
3 to 5 ranked opportunities
A short list of concrete opportunities, prioritized so the strongest candidate does not get buried in a long catalog of ideas.
ROI versus effort analysis
Each candidate is compared on likely business value, implementation effort, readiness, risk, and adoption requirements.
90-day action plan
A practical sequence for what to validate, prepare, build, or measure first, including the decisions that should gate further spend.
Where AI will not help
Explicit findings on workflows where AI is the wrong tool, the foundations are not ready, or a simpler approach makes more sense.
Written handoff and final working session included
Review the assumptions, challenge the ranking, and leave with clear next decisions and a 90-day plan.
Defined scope, fixed fee, and clear decisions.
This is a paid assessment, not an open-ended strategy retainer. The exact scope and fee are agreed before kickoff.
Timeline
2 to 3 weeks
From kickoff through the written handoff and final working session.
Investment
$4,500 to $7,500
A fixed fee based on the workflows and business areas in scope.
Ownership
A plan you can use
Implement internally, with F2, or with another partner.
How the assessment runs
A short, focused process from kickoff to written handoff.
Understand the operating reality
Kickoff, focused stakeholder conversations, and a review of the workflows, systems, and data relevant to the assessment.
Compare the real options
Identify three to five candidates, examine dependencies, and rank each opportunity by likely ROI versus effort.
Turn findings into decisions
Receive the written assessment, the 90-day plan, and a working session to pressure-test the recommendations.
Useful when the opportunity is real, but the next move is not yet clear.
This is a fit when
- You see several possible AI use cases but do not have a sound way to prioritize them.
- You want workflow and business analysis before choosing a model, vendor, or platform.
- You need a written plan that leadership, an internal team, or an implementation partner can use.
- You are willing to address data or process foundations before funding an AI build.
A different route is better when
- You already have a validated specification and only need a development team to implement it.
- You want a generic list of AI tools without reviewing how the business actually operates.
- You are looking for a no-cost exploratory workshop rather than a paid assessment.
- You need an enterprise-wide transformation program with many business units in scope.
Scope, cost, and what happens next.
How long does the AI Readiness Assessment take?
The engagement takes two to three weeks from kickoff through the written assessment and final working session. Timing depends on the scope and complexity of the business areas being reviewed.
How much does the assessment cost?
The fixed fee is between $4,500 and $7,500. The exact fee is agreed before kickoff and depends on the number of workflows, systems, and business areas included in the review.
What do I receive?
You receive a written assessment with three to five ranked AI opportunities, an ROI-versus-effort comparison, technology and data findings, explicit recommendations on where AI will not help, and a 90-day action plan. A final working session is included.
What if AI is not the right answer?
The assessment will say so. A useful outcome may be a conventional automation, a process change, foundational data work, or a recommendation not to invest in a particular use case.
Do our data and systems need to be in order first?
No. Assessing the current state is part of the engagement. If missing data, unclear ownership, or system limitations need to be addressed first, the report will identify and sequence that work.
Do we have to hire F2 for implementation?
No. The written deliverables are designed to stand on their own. You can implement the plan internally, take it to another partner, or discuss a build engagement with F2.