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AI Opportunity Review

Find out where AI will actually save your business time and money.

Many businesses buy AI tools before deciding what problem they should solve. An AI Opportunity Review from APPSOLN looks at how your work really runs, compares the options, and gives you one clear answer: go ahead, wait, or skip it.

  • A simple map of the task that is costing you the most
  • Every AI idea compared on value, effort, risk, and readiness
  • A 90-day plan and a short summary you can act on

Not ready to apply? Book a free 15-minute call

Get a clear answer on AI

Tell us which task is costing your team time. We use this to check the review is a good fit.

  • 1Clear priority instead of a long list of ideas
  • 90Day plan you can approve or reject
  • NoIs an honest answer too. We will tell you if AI is not worth it yet.

The expensive mistake

AI projects fail when nobody agreed what problem they should solve.

  • Buying AI tools before defining the problem
  • Lots of ideas and no fair way to compare them
  • Unclear dependencies on people, data, and existing software
  • Business cases that ignore risk, checking, and training costs

What you leave with

Everything you need to make one clear decision.

  1. 01A simple map of how the work runs today
  2. 02An AI readiness check
  3. 03The AI ideas worth doing, in order
  4. 04Effort and risk for each idea
  5. 05How it would connect to your current tools
  6. 06The expected business benefit
  7. 07A 90-day plan
  8. 08A short decision summary for leadership

Four steps

From a messy list of ideas to a decision you can make.

  1. 01

    Frame

    Agree the problem, who decides, the scope, and what evidence we need.

  2. 02

    Observe

    See how the work is done, the tools involved, the exceptions, and today's performance.

  3. 03

    Prioritise

    Score each idea on value, effort, risk, and how ready your team is.

  4. 04

    Recommend

    Give you one practical path forward and the safeguards it needs.

Who this is for

Small business or large company, bring one task that is costing you time.

  • Different people keep suggesting AI tools, but nobody has decided what comes first.
  • A task is clearly costing time or money, but nobody has written down how it really works.
  • You want a decision that considers cost, accuracy, security, and whether staff will use it.

What we need from you

  • A decision-maker who can approve the priority
  • The people who do the work, to show us how it really happens
  • Your IT or security contact for system and data questions
  • Access to realistic examples of the work, handled safely

In a small business this might be one or two people. In a large company it might be a few teams.

Where reviews usually start

Start with one task, not a big programme.

  • Lead Follow-Up

    Leads getting lost between your website, inbox, and CRM? APPSOLN uses AI to log every enquiry, send it to the right person, and draft quick replies your team approves.

  • Customer Support

    Support queues growing while your team searches for answers and rewrites the same replies? APPSOLN adds AI to your help desk to sort tickets, find answers, and draft replies for agents to check.

  • Document Processing

    Staff retyping invoices, forms, and attachments by hand? APPSOLN uses AI to read documents, pull out the details, and send them for a quick check before they update your systems.

Before you apply

Common questions before applying.

Do we need an AI strategy first?

No. The review gives you a practical decision about one area of work, which can feed a wider strategy later without holding you up now.

Will you tell us to replace our current software?

Only if the evidence shows it cannot be connected. Normally we improve the work around the tools your team already trusts.

What happens after the review?

You get a decision summary. You can then go ahead with building it, hire us for ongoing AI advice, or pause with a clear reason.

How long does it take?

Most reviews take a few weeks, not months. The timing depends on how quickly we can speak to the right people and see real examples.

What does success look like?

  • One agreed priority instead of a long list of ideas
  • A recorded starting point and a clear expected result
  • Known data, connection, safety, and training needs
  • A 90-day plan you can approve, change, or reject

The next step

Bring one task that is costing you time

Apply for a review when you want a clear, evidence-based answer on AI instead of another list of tools.

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