AI Strategy & Consulting

1. 1

   Talk to the people who do the work

   We interview staff in each department, as well as leadership. They show us the real delays and the manual steps that a system can do. We also learn what data you have.

2. 2

   Find and rank use cases

   We make a list of possible AI uses. We score each one on value and on how hard it is to build with your data and systems. Then we keep only the ones worth doing.

3. 3

   Check your data honestly

   We look at where your data lives and what condition it is in. We check if it can support each use case on the list. We tell you clearly what can work and what cannot.

4. 4

   Make the business case for the top items

   We take the two or three items to build first. For each, we show the cost to build and run it. We also show the effect on operations and what must be ready before work starts.

5. 5

   Give you a roadmap in order

   You get a plan that your engineers and leaders can act on. It shows what to build first and what depends on what. It also says how you will know each step worked.

What you get

• AI readiness review

  A review of where you are today. It covers your data, your technical skills, and how ready your teams are.

• Ranked use cases

  10-15 use cases, each scored on business value, technical fit, and the effort to build.

• Architecture plan

  A high-level design that shows how the AI connects to the systems you have. It includes our advice on vendors and platforms.

• 6-12 month roadmap

  A plan in phases for each initiative. It shows timelines, the people you need, milestones, and dependencies.

• Business case

  A cost and return model with 3-year projections. It includes build costs, expected benefits, and what happens if the numbers change.

• Risk plan

  A list of the technical, organizational, and regulatory risks. Each risk has a plan to reduce it.

1. 1

   Discovery

   2 weeks

   We interview the teams who do the work and map your data. We find where AI can help and where it cannot.

2. 2

   Strategy

   2 weeks

   We rank use cases by value and by the effort to build them. We cut the list and plan the first build.

3. 3

   Prototype

   4-6 weeks

   We build a working prototype on your real data. If the approach fails, we learn it here, before a full build.

4. 4

   Production

   8-12 weeks

   Our forward deployed engineers work inside your team to build the full system. We connect it to your systems, test it on real cases and train your engineers to run it.

5. 5

   Optimize

   Ongoing

   We monitor output quality and tune the system as usage changes. Each quarter, we choose the next improvement with you.

• Strategy sprint

  A 2-week engagement. We find your top 3-5 AI opportunities and check that you can build them.

  Pricing:

  Fixed fee

  Duration:

  2 weeks

• Full strategy

  A 6-8 week engagement. You get a detailed roadmap, business cases, and an architecture design.

  Pricing:

  Project-based

  Duration:

  6-8 weeks

• Strategy and advisory retainer

  We stay on as advisors while you build. We update the roadmap as you learn.

  Pricing:

  Monthly retainer

  Duration:

  6-12 months