Openers · AI Readiness Snapshot

Find where AI gives back hours, not minutes – before you spend on tools.

The four or five places where AI gives back hours of your specialists' time, each with a business case estimate, a readiness check and one first pilot with a kill condition.

  • Forbusiness area owner, Head of IT, finance
  • The questionWhere does AI give back hours, not minutes?
  • You decidepilot, wait or drop – per opportunity
  • Nexta Strategy Sprint for an AI portfolio

Sounds familiar?

Dozens of AI ideas. No idea which one pays.

“The board asks about AI, and I have nothing concrete to bring.”

“We pay for AI licences, and nobody can say what they return.”

“A vendor offered a free AI audit – deducted from the implementation.”

What you get

A ranked list you can act on next month.

Four or five opportunities

Ranked by the hours at stake, each with what it would take.

A business case for each

Value, cost, risk and cost of delay, in numbers your CFO can check.

One first pilot

With an owner, a measure and a kill condition – so you know when to stop.

What it looks like

An AI opportunity map, not a hype deck.

Each opportunity with the hours it gives back, its value, how ready your data, technology and governance are for it – and a decision. “Not now” is a valid one.

AI opportunity map · sales and service31 h / week
OpportunityHours / weekReady?Decision
Ticket triage and first reply12 hImplement
Draft of the quote8 hTest first
Contract review checklist5 hTest first
Invoice matching6 hNot now

Ready? data · technology · governance – in place, partly, missing. An illustrative example.

How it works

From the first call to the ranked list in two to three weeks.

  1. Day 1 · 30 minutes, async

    Agree the scope

    The area, the people, the tools you already pay for.

  2. Week 1

    Find where the hours go

    Short sessions with the people who do the work – or fully asynchronous.

  3. Week 2

    Readiness and cases

    Data, technology and governance for each opportunity; a business case.

  4. Week 2–3

    Report and review

    The ranked list, the cases and the first pilot, with your decision makers.

Who should be involved

  • the owner of the business area
  • Head of IT or the person responsible for data
  • someone from finance
  • optional: two or three specialists who do the work

Price

Fixed before we start. Lite upfront, the rest when it's done.

Lite

€1,500

  • You collect the input with my templates
  • One day of analysis
  • Findings call and report
  • Paid upfront
Ask about Lite

Snapshot

from €5,000

  • Sessions or async input
  • Four or five opportunities with business cases
  • Readiness check, guardrails and one pilot
Book a conversation

Strategy Sprint

on scope

  • Value streams behind the opportunities
  • A prioritised AI portfolio and roadmap
  • Governance when AI becomes a program
Ask about the Sprint

I don't implement and take no commission from who does – so the answer can be “use what you already pay for”, “one small pilot” or “not now”. The fee is credited against a Strategy Sprint.

Details

Most companies start with AI where it is easiest to switch on, not where it pays. Fifteen minutes a day saved on summarising e-mails does not show up anywhere in the P&L.

What we look at

AreaThe question
WorkWhere do expensive people spend hours on reading, sorting, searching, rewriting or checking?
DataIs the information those tasks need available, good enough, and allowed to be used?
TechnologyWhat do you already own and pay for – licences, platforms, integrations – that could do the job?
GovernanceWho decides, who owns the risk, and which rules (GDPR, the AI Act, your clients' contracts) apply?
ValueWhat is each opportunity worth, what does it cost, and what happens if you wait a year?

Why it matters

AI spend is growing in most companies, but outcomes are rarely measured: no prioritisation, no guardrails, no ROI baseline. The companies that get value from AI start where the hours are, prove it on one case and only then scale. This Snapshot gives you that starting point – and the numbers to defend it.

How it differs from a free AI audit

An audit from an implementation partner maps your processes for automation and is usually deducted from the project the same company will sell you. I do not implement and take no commission from who does, so the recommendation can be “use what you already pay for”, “start with one small pilot” or “not now”.