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//03Service

AI Strategy & Consulting

Find out where AI actually pays in your business before you spend on it. You leave with a written report and a playbook: what to fix, in what order.
Two colleagues planning at a whiteboard
Sound familiar?

Everyone says use AI. Nobody says where.

  • Tool overloadA new product every week
  • Stalled pilotsTried for a month, then dropped
  • No prioritiesAI ideas nobody has ranked
  • Messy processAutomating the mess
  • Slide decksAdvice nobody executes
  • GuessworkWhich build comes first?

//What changes

The same week, with it running.

No promises about numbers here. This is what the system does, every time it runs.

Today

VS

With it
running

  • Priorities

    Today: A list of AI ideas nobody has ranked.

    With it running: Every issue written down with its fix, and the order to do them in.

  • Tools

    Today: Buying tools and hoping they fit.

    With it running: Knowing what your stack, data and budget can actually support.

  • Advice

    Today: Advice that lives in a slide deck.

    With it running: A playbook another team could pick up and execute.

  • First build

    Today: Guessing which build comes first.

    With it running: The first build named, scoped and ready to start.

//Is it for you

Built for some businesses. Not all of them.

A good fit if

  • You know AI could help but not where to start
  • You have tried tools that did not stick
  • You want a plan you own, whoever ends up building it

Spend it elsewhere if

  • You already know exactly what to build. Go straight to the build
  • You want a tool recommendation by this afternoon
  • You need someone to sign off a decision already made

//How it runs · 05 steps

About two weeks, from first call to playbook.

  1. Step 1: Discover

    We start with your week, not with AI.

    Where the hours in your week go now, and what that costs.

    • A discovery call
    • Your problems, in your words
    • What that costs you now
    A team sorting sticky notes on a table01 · Discover
  2. Step 2: Question

    Then we ask how work really moves.

    The assumptions that decide whether AI helps here at all.

    • A deep-dive questionnaire
    • A one-hour working session
    • Time with the people who do the job
    A woman writing notes on a whiteboard02 · Question
  3. Step 3: Research

    Then we do the homework.

    What is genuinely possible for your stack, your data and your budget.

    • Our own research, not a vendor pitch
    • Checked against your tools and data
    • Sized to what you can spend
    A laptop, notes and coffee on a wooden desk03 · Research
  4. Step 4: Report

    The findings, on paper.

    Written findings you keep — useful even if somebody else builds it.

    • Every issue and its fix
    • The order to do them in
    • A call that walks you through it
    An open notebook of handwritten notes04 · Report
  5. Step 5: Playbook

    You leave knowing what to build first.

    A sequenced plan with the first build named and scoped.

    • A playbook call
    • Follow-up strategies
    • Build it with us, or with anyone
    A man arranging sticky notes on a planning wall05 · Playbook

That is the whole run. Want it mapped to your business?

//In practice

What it looks like on an ordinary Tuesday.

Every issue written down, with its fix.

A report that names what to change, why, and the order to do it in.

Handwritten notes with highlighted lines

Built around how your team really works.

A questionnaire, a working session and time with the people who do the job, not the org chart.

A team working through papers around a table

Leave with the first build named and scoped.

A playbook your team, or any team, can pick up and execute, whoever ends up building it.

Two people shaking hands over a laptop

//What it is

What is AI Strategy & Consulting?

AI strategy consulting that ends in a playbook, not a slide deck. A discovery call, a deep questionnaire on how work really moves, a one-hour working session and our own research. Then a written report of every issue and its fix, a call that walks through it, and follow-up strategies. If the plan needs automations, voice agents or a website, we build them.

//What you get

Everything that ships with it

The list is the scope. If something you need is missing from it, say so on the call and it goes in before anything is built.
06 deliverables
  • 01

    Discovery call: your problems, in your words

  • 02

    Deep-dive questionnaire on how work really moves

  • 03

    One-hour working session to clarify and dig in

  • 04

    Research, then a written report of every issue and its fix

  • 05

    Playbook call: what to fix, in what order, and how

  • 06

    Follow-up strategies, and we build whatever the plan needs

//Questions

AI Strategy & Consulting, answered

The questions that come up on nearly every call about this, including the awkward ones. Open any of them.

Five steps: a discovery call, a deep-dive questionnaire, a one-hour working session, independent research, then a written report and a playbook call that walks through every issue and how to solve it. It ends with follow-up strategies you can act on.

No. The playbook is yours either way. If it calls for AI automations, voice agents or a website and you want them built, Scalexia builds them; if you only need strategy advice, that is available on its own.

About two weeks. The audit takes a day or two, the questionnaire follows, the one-hour working session is within two days of that, and the report and playbook call come within the week after. Larger businesses can take up to three weeks.

A written report of every issue found and the fix for it, a call that walks through that report line by line, and a playbook that says what to fix first, second and third, and why that order. Then follow-up strategies. Not a slide deck, and not a list of tools to go and buy.

No. The report and the playbook are yours, and they are written so another team could execute them. If the plan calls for automations, voice agents or a website, we build them; if you would rather take it elsewhere or do it in-house, the document still works.

Then the report says so. A good number of the problems found in an audit are process problems wearing an AI-shaped costume: a form nobody reads, an approval step with no owner, two tools holding the same data. Putting a model on top of that multiplies the mess. You get told which of your problems are worth automating and which just need fixing.

//Next step

Tell us what is breaking. We will tell you whether this fixes it.

A short call, no deck. If AI Strategy & Consulting is the wrong answer for your situation, you will hear that on the call rather than three weeks into a build.