Do we need to buy new AI tools before starting?

Not always. A useful first conversation reviews the tools, licensing and information you already have alongside the work you want to improve. Sometimes a governed Copilot workflow, simpler automation or a focused agent is appropriate. If additional licensing, a connector or a different approach is needed, Wavex will explain that before a build starts.

Can we start with the Microsoft 365 information and tools we already use?

Often, yes. Microsoft 365 content and identity can provide a strong foundation where information is appropriate, permissions are understood and the required capabilities are available in your environment. The first step is to confirm the real sources, controls, licensing and intended user experience rather than assuming every existing file should be connected.

How do you choose the first use case?

We look for recurring work with a clear owner, bounded inputs, a useful outcome and a sensible way to measure whether the pilot helped. The best first use case is usually important enough to matter, small enough to learn from and safe enough to retain meaningful human review.

Will our information and business systems be protected?

Before widening use, Wavex reviews approved information sources, access, security, permissions, running costs, human review points and a named business owner. The exact controls depend on the chosen platform, source systems and use case. Important decisions and outputs remain the responsibility of your people.

What happens after the pilot?

Together, we review the agreed measure, feedback and any improvements made during real use. The next recommendation may be to refine the pilot, extend it carefully, develop another use case or stop. An ongoing managed AI service can be considered where continued usage, content, access, cost and improvement management would be useful, but it is not assumed as a fixed package.

Business leader and technology consultant reviewing a focused AI pilot

AI adoption and implementation

Put AI to work on something that matters.

Q: What training will our people receive?

For a suitable pilot, Wavex provides short, role-specific training that explains what the solution can do, its limits, how to check important outputs and how to give feedback. Training is part of introduction, not an afterthought once the pilot has been built.

Your first useful AI solution may be closer than you think.

Wavex helps you find the right opportunity, build a controlled pilot and make sure your people actually use it. We focus on useful work and a measurable result, whether the best answer is an AI agent, a governed Copilot workflow or a simpler automation.

Find your first AI opportunity See what Wavex has built

Indicative for a suitable, narrowly scoped pilot: from first conversation to a working pilot can be around 30 working days. Licensing, information quality, permissions, integrations and the sensitivity of the workflow affect scope and timing.

Home›AI Adoption & Implementation

A practical first step

You may already have what you need to start.

Your organisation already has recurring tasks, knowledgeable people, documents and systems. The question is not simply which AI tool to buy. It is which piece of work is worth improving first, and what would make that improvement useful and controlled.

Wavex takes a client from identifying an opportunity through a working first pilot. We begin with the work, define the information and review points around it, then help the people using it learn from real feedback.

Need the broader AI roadmap first? Explore the AI readiness assessment

Find the opportunity

Assess recurring work, information, value, effort and risk. Agree one business owner and an observable measure of success.

Build the first result

Create and test one focused solution inside agreed information, permission and human-review boundaries.

Help it succeed

Train the people who will use it, gather feedback, make several improvements and decide what should happen next.

Start with the work

What would you like help with?

Select the description closest to the work that is absorbing too much time. Each is a practical starting point, not a promise that AI should take over the decision.

A focused first pilot

Answer questions

Human review stays in the loop

A realistic example

A colleague needs a clear answer about an approved policy, process or service without searching through several folders and old emails.

What the pilot could do

Create a focused assistant that searches a selected knowledge set, gives a plain-English answer and links back to the source material used.

What you may already have

You may already have policy documents, process guides, service articles, templates and knowledgeable content owners.

What a person still decides

A named owner keeps the source material current. People still decide whether the answer applies to the situation in front of them.

We will bring this selected starting point into the enquiry form below. You can edit it before sending anything.

See the secure AI sales enablement case study

Business users discussing a practical AI pilot workshop

Built with your team and improved through real use.

A launch is not the definition of success. A pilot should help people complete a better piece of work, then improve through evidence and feedback.

A practical timeline

From a useful idea to a working pilot

Each stage is deliberately compact, with training and improvement included from the beginning.

Week 1

Choose the right first task

Agree the use case, business owner and measure of success.

Week 2

Prepare the foundations

Review information sources, permissions, security, licensing, running costs and human approval points. If a prerequisite needs fixing, say so before proceeding.

Weeks 3-4

Build and test

Create a working pilot, test it against real examples and refine it.

Week 5

Train and introduce

Provide short, role-specific training covering what the solution can do, its limits, how to check important outputs and how to give feedback.

Weeks 5-6

Improve and measure

Make a few focused iterations based on real use, compare the result with the agreed measure and recommend whether to refine, expand or stop.

Indicative for a suitable, narrowly scoped pilot. Complex integrations, sensitive workflows or substantial information cleanup may require a different plan. If a foundation is not ready, we will say so before proceeding.

Built from experience

Proven through practical work.

Founded in 1998, Wavex brings decades of experience helping organisations put technology to work. Our AI experience is grounded in focused solutions, controlled information, useful outputs and people who remain responsible for the result.

Approved knowledge and guided sales work

Sales enablement agent

An anonymised Wavex case study showing a secure Microsoft Copilot Studio agent connecting approved knowledge, guided sales workflows and controlled CRM actions in Microsoft Teams.

Read the sales enablement case study

Document-heavy due diligence and compliance

Property portfolio automation

A purpose-built Microsoft Copilot Studio agent helped a property business work through a 200-question compliance workbook using approved internal documents, with source references and review built in.

Read the property automation case study

Grant, questionnaire and compliance administration

Charity AI automation

A Wavex AI solution helped a charity reduce the burden of recurring due-diligence and compliance work while retaining auditability and human accountability.

Read the charity automation case study

Wavex AI in practice

Jakob shows how defined AI assistance can work.

Jakob, Wavex's AI Device Doctor, helps users and engineers within defined limits, with people involved when needed. It demonstrates Wavex capability, not a pre-packaged answer to every client problem.

See how Jakob works

Confidence and control

Useful does not mean uncontrolled.

Before widening use, Wavex checks the approved information sources, access, security, running costs, human review points and named business owner around the pilot. The detail should fit the task, but the accountability should always be clear.

Approved information

Use selected, appropriate sources rather than connecting everything by default.

Permission-aware access

Keep access aligned with existing roles and responsibilities.

Human approval points

Decide where a person checks, approves or takes the final action.

Clear ownership

Give the pilot a business owner, content owner and a practical measure of success.

Explore further

The detail behind a confident first step

These resources answer the questions that often sit behind a practical AI pilot, without turning this page into a reading list.

Start with the right roadmap

Understand how to prioritise your organisation's AI opportunity, data, governance and investment decisions.

Read the AI readiness assessment

Give access the right shape

Match AI capability to role-based access, information sensitivity and practical governance.

Explore the AI structure

Prepare information for AI

See how data-loss prevention, classification and sensible boundaries support more confident adoption.

Read the AI readiness guide

Help people use AI well

Give ordinary business users a practical learning route from better prompts to controlled, repeatable work.

Start the practical AI course

Take the wider business view

Consider the leadership, governance and measurable-value questions around AI assistants in everyday work.

Read the executive overview

Need a clearer staff policy and responsible-use boundary? Read the AI risk policy guide

Frequently asked questions

A sensible first pilot should answer these.

Start a practical conversation

Tell us which task slows your team down.

We will use your selected starting point to begin the conversation. You can edit the draft in the form, and nothing is sent until you choose to submit it.

Selected starting point

Answer questions

Answer from approved company knowledge and show the source.

Find your first AI opportunity

Tell us about the task you would like to improve. a sector specialist will be in touch. We aim to reply within 1 hour. We aim to reply within 1 hour.