AI Readiness and Roadmap

Before anyone builds anything, you should know which parts of your operation AI pays for and which ones it does not. We put a number on each and give you the order to build in.

The assessment looks at four things: the data you hold and what shape it is in, the systems it lives in, the security and compliance limits you work under, and the people whose day would change. Most of what stalls an AI project is found in that fourth one, and it is the part a software vendor never asks about.

You get a ranked list, not a strategy deck. Each candidate carries an estimate of hours saved per month against what it costs to build, so the argument for doing the third one before the first is a number you can check rather than a claim you have to take on faith.

// what pays, and in what order
  1. Quote follow-upbuild first
  2. Intake and triagebuild next
  3. Weekly reportingphase two
  4. Pricing callskeep human

The last line is worth as much as the first three. Some work should stay with a person, and the assessment says which.

// what you get

What's included.

  • A readiness assessment covering your data, systems, security constraints, and the teams who would use it
  • Use case discovery workshops with the people doing the work, not only the people who own the budget
  • ROI analysis per candidate, ranked by hours saved against build cost
  • A phased roadmap: what to build first, what it depends on, what should wait a year
  • A written recommendation you can hand to a board or a finance director
  • An honest answer when the finding is that AI is not the answer to the problem you asked about
// where it fits

The situations this is usually bought for.

A budget request that needs a defensible number

A director has been asked what AI would cost and what it would return. The roadmap gives them a per-use-case figure and the reasoning behind it, so the request survives a finance review.

A pile of vendor pitches and no way to rank them

Four vendors have quoted four different projects. The assessment scores the underlying use cases first, which usually reveals that two of the four solve a problem the company does not have.

A pilot that worked and then went nowhere

A team ran a promising trial and could not say what should happen next. The roadmap sequences the rest of the work and names the dependency that blocked it.

Light tracing connections across a dark surface
// say hello

Tell us what you are trying to fix.

Discovery calls are free and usually last 30 minutes. We listen first, and we will tell you honestly if ai readiness and roadmap is the wrong thing to spend money on.