AI Strategy

We work with your leadership to find where AI will pay off in your business, rank the options by value and effort, and turn the best ones into a plan your team can act on.

Let's Talk How it works
Value vs effort

Scale Through Automation and Decisioning

Process automation and a credit decisioning engine for an SMME purchase-order financier, tripling the number of applications it can process.

3×
more finance applications processed
8+
processes re-engineered and automated
5 weeks
from first assessment to a re-engineered workflow
Read the case study

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Know which AI projects are worth doing.

Most companies know AI matters. Fewer know where it will actually pay off, or what to do first. It starts with a workshop with your leadership, and ends with a concrete roadmap that shows which projects to do, in what order, and what each one is worth.

  1. Workshop

    Sessions with your leadership and the teams who would use AI day to day, to list where AI could help.

  2. Review

    A look at your processes, data and systems, so the plan starts from how your business really works.

  3. Rank

    Every use case scored on value, effort and risk, and plotted so the quick wins and the big bets stand out.

  4. Roadmap

    The order to do things in over the next 6 to 12 months, with a business case for each project.

  5. Governance

    An AI use policy that says who can use which tools, with what data, and how results are measured.

What you get.

  • A shortlist The AI projects worth doing, in the order to do them.
  • A 6 to 12 month roadmap With a business case for each project.
  • An AI use policy Clear rules your staff can follow.
AI strategyMeridian Group

Recommended AI roadmap

Four projects for the next 12 months, in the order to do them.

ProjectOwnerValue / yrEffortPaybackStart
1Invoice matching Finance $420k 6 wks 4 mo Feb
2Call summaries Service $260k 4 wks 3 mo Mar
3Proposal drafting Sales $180k 5 wks 6 mo May
4Demand forecasting Operations $950k 16 wks 9 mo Jun
Total$1.81m

Business case 1: Invoice matching

Today
3 people match about 9,000 supplier invoices a month by hand.
With AI
About 85% are matched automatically. People check the rest.
Needs
Read access to the ERP and the accounts payable inbox.
Risk
Low. Finance approves every exception before payment.
Confidential7

A clip from the Elucidate AI Podcast

A ChatGPT licence is not an AI strategy

Saul Bloch, CEO, Elucidate

Listen on Spotify More episodes and clips

Common questions.

Who takes part?

Your leadership, and the teams who would use AI day to day. The plan has to work for the people doing the work, not only for the board.

Do we need our data in order first?

No. We look at your processes, data and systems as part of the work, so the plan starts from where you are. Where the data isn't ready, getting it ready becomes a step on the roadmap.

What do we have at the end?

A short list of AI projects worth doing, in order, a 6 to 12 month roadmap with a business case for each, and an AI use policy your staff can follow.

Can you build what's on the roadmap?

Yes. Data Readiness gets your data ready for it, and AI & Automation builds the projects. You can also take the plan to your own team.

Something else? Ask us.

Ready to level-up your business?

Let's Talk