What does a training day actually cover?

We agree the session around your team's starting point and the tasks they need help with. That can include writing prompts, checking outputs and practising on relevant examples. The scope is agreed before the session.

Can training lead to implementation later?

Yes. Training often helps a team identify workflows worth improving. We can then map those processes and scope the highest-priority build, with what the team learned informing the work.

What if our team is resistant to AI?

Start with a task they find frustrating and show how the tool helps. Give people space to raise concerns and check the results themselves. Training works better when it addresses real work rather than asking people to adopt AI for its own sake.

Yes. We offer team training and implementation. We'll recommend a starting point based on your workflows, existing systems and the time your team has to apply what they learn.

Does your team need AI training or done-for-you implementation?

Both have a place. The right starting point depends on what is stopping your team today.

By Montaj Digital · Updated 15 October 2026

Training vs done-for-you: what each delivers

Task / outcome	AI training	Done-for-you implementation
First working automation	Production builds are a separate task	Built to an agreed scope
Internal AI capability	Develops through practice	Needs deliberate knowledge transfer
Sustained adoption	Depends on follow-through	Still needs training and ownership
Documentation and SOPs	Your team needs to create them	Included in our build scope
If a team member leaves	Skills may need rebuilding	Documented assets support handover
Risk of no adoption	Learning may not become practice	Working systems still need team buy-in
Workflow customisation	Your team applies the skills	Built around your workflows
Ongoing maintenance	Your team develops the capability	Agree internal ownership or support
Upfront investment	Workshop or course fee plus staff time	Audit, scoped build and running costs
Time from your team	Session time plus practice and building	Discovery, testing and handover

Compare both approaches

Training and implementation aren't competing guarantees. Both need a clear outcome and time from the people involved.

Explore team training

Which approach fits your situation?

Your situation	Consider	Why
Staff need help checking AI drafts	Training	Practise on real tasks and agree review standards.
Information must move between systems	Implementation	Someone needs to build, test and maintain the integration.
A new system is ready but rarely used	Training and adoption support	Work on the actual system and clarify who owns each step.

Compare both approaches

Choose against the work and capacity you have, rather than the label on the service.

Costs and responsibilities to agree

Include in your decision	AI training	Done-for-you implementation
Upfront scope	Diagnostic pre-work and a facilitated workshop	Paid audit followed by a separately scoped build
Your team’s time	Preparation, attendance and practice afterwards	Interviews, access, testing and acceptance
After delivery	Managers reinforce habits and review outputs	Named owners monitor failures and maintain workflows
What is not included	Production integrations and ongoing operation	Unlimited training or support unless agreed

Compare both approaches

The standard corporate training package is GBP £4,950 plus VAT. Implementation starts with the GBP £3,000 plus VAT audit; build costs follow the agreed roadmap.

An exercise to distinguish the two

Ask a colleague to draft a client update using approved source material, then check accuracy and tone against a short rubric. If the difficulty is explaining the task or reviewing the draft, training may help. If the source material sits across disconnected systems and has to arrive automatically, scope an implementation project. This is an illustrative exercise, not a measured client result.

The right approach

When the right answer is both, in the right order

If you already know which workflows need changing, build the system and then train the team on the work they'll actually do. A session tied to a live process gives people something concrete to practise.

If you're still exploring what's possible, training can come first. Use it to surface useful ideas, map the strongest opportunities and scope the build from there.

Identify the bottleneck
Decide whether you're missing skills, a working system or team adoption.
Build or learn first
Choose the step that removes that bottleneck and give it a clear owner.
Put it into daily use
Document the process, practise with real tasks and review the result.

Watch the free AI Week training See how our implementation method works

Sources and further reading

FAQ

Got any questions? We have the answers.

If your question isn't answered here, book a free AI discovery call and we'll talk it through.

Still have a question?

Not necessarily. If the goal is confidence with AI tools and better prompts, training can be the right fit. If you want to change how a particular workflow operates, you may also need implementation.

Not sure whether to train the team or bring in the builders?

Read what the engagement includes, then book a free AI discovery call to discuss fit. A documented audit and any implementation are separate paid engagements.

Discuss your situation

Explore team training

Explore the other comparisons

View all comparisons

Does your team need AI training or done-for-you implementation?

Training vs done-for-you: what each delivers

Which approach fits your situation?

Costs and responsibilities to agree

An exercise to distinguish the two

When the right answer is both, in the right order

Identify the bottleneck

Build or learn first

Put it into daily use

Sources and further reading

Got any questions? We have the answers.

Not sure whether to train the team or bring in the builders?

Explore the other comparisons