# Find out where AI will actually help your business before you spend on it

> Lots of AI ideas but no clear first step? APPSOLN looks at how your work really runs, checks your data and risks, and gives you a 90-day plan you can approve or reject.

The AI Opportunity Review helps you decide where AI is worth using. We look at how a task is done today, record a starting point, test the AI ideas against real evidence, and give you a clear recommendation: what to do first, what to leave for later, and what to drop.

## Who it fits

- 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.

## Problems

- 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

## Deliverables

- A simple map of how the work runs today
- An AI readiness check
- The AI ideas worth doing, in order
- Effort and risk for each idea
- How it would connect to your current tools
- The expected business benefit
- A 90-day plan
- A short decision summary for leadership

## Process

- **Frame.** Agree the problem, who decides, the scope, and what evidence we need.
- **Observe.** See how the work is done, the tools involved, the exceptions, and today's performance.
- **Prioritise.** Score each idea on value, effort, risk, and how ready your team is.
- **Recommend.** Give you one practical path forward and the safeguards it needs.

## Client involvement

- 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

## Success measures

- 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

## Systems

- CRM
- Help desk
- Document storage
- Reporting tools
- Internal knowledge bases

## Security and access

Anything you share for the review is handled under agreed privacy rules. The recommendation spells out data access, AI limits, and checking points before anything is built.

## Human control

You make the decision. The review recommends; it does not start a build on its own. The people who do the work confirm that our map matches reality.

## What you leave with

You get a short decision summary with one priority, a starting point, risks, and a 90-day plan. Then you choose to go ahead, get ongoing advice, or wait, with a clear reason.

## Common questions

### 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.

## Related services

- [AI Integration](https://appsoln.com/services/ai-workflow-integration/index.md): AI integration turns an agreed AI idea into something your team uses every day. Information comes in from your existing tools, AI handles a specific job, a person checks the exceptions, and the results go back into the systems where you keep your records.
- [AI Automation](https://appsoln.com/services/ai-automation/index.md): AI automation redesigns one task so software handles the routine volume and people handle the judgment calls, exceptions, and final say. The goal is less rework and faster turnaround, not AI running unchecked.

## Technologies and roles

- [Large Language Models (LLMs)](https://appsoln.com/technologies/llm-integration/index.md): Large language models, or LLMs, are the AI behind tools like ChatGPT, Claude, and Gemini. They can read and write text, which makes them useful for drafting replies, summarising documents, sorting requests, and pulling out details.
- [AI Document Search (RAG)](https://appsoln.com/technologies/ai-document-search/index.md): AI document search, often called RAG (retrieval-augmented generation), lets people ask a question in plain words and get an answer taken from your own documents, with a link to the source so they can check it.
- [Hire an AI Consultant](https://appsoln.com/hire/ai-consultant/index.md): Hire APPSOLN as your AI consultant to find where AI saves real time and money, check vendor claims, set simple AI rules, and plan what to build first.

Canonical page: https://appsoln.com/services/ai-opportunity-review