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AI Training for Teams

Your report is the product.AI is already in it.

Your team is already using AI to write reports. Copying a paragraph out, pasting it in, tidying it up, with no agreement on what's allowed and no check on what comes out. It's inconsistent and not standardised. That's a training problem, and it's the one we fix.

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AI Levelling up

By the end of session one, we'll have produced a draft report in your house format, from your notes, in front of your team. Not a demo — your template, your standards, your language.

By the end of the programme, your people can take site notes to a first draft, use AI to catch the carried-over paragraph and the wrong-project reference before the client does, and write to one house style across the firm.

Your reports, your style, your standards.

6 hours split across 3 sessions to make sure it sticks

Run the numbers for your firm.

Time per report1 hour
Reports per week15
Hours per year700
Recover a third230 hours

That's roughly an extra part-time technician — without the salary. Even if you halve those figures, training still pays for itself in a month.

Trusted by forward-thinking teams

Scottish Building Standards Hub — Skirr AI clientScottish Building Standards Hub
Fife Council — Skirr AI clientFife Council
Scottish Futures Trust — Skirr AI clientScottish Futures Trust
RSE Water Technology — Skirr AI clientRSE Water Technology
Microsoft for Startups — Skirr AI partnerMicrosoft for Startups
Crown Commercial Service — Skirr AI listed supplierCrown Commercial Service

Your Report will be put into AIand scrutinised

You finish the report, the client receives it — and uploads it straight into their own AI to summarise, cross-check and query.

Mistakes that used to sit quietly in appendix C now get surfaced in seconds. Inconsistencies between sections get flagged. The tolerance your work used to enjoy is gone.

Client dropping a report into AI for scrutiny

Quality Control is the real bottle neck for Report creation

Before AI training

  • Hours writing the report
  • Sections copied from a previous report that no longer make sense in the new report
  • Images and image descriptions carried over from a different site — mismatch and confusion for the customer
  • AI-generated text pasted in raw, in the wrong tone or wrong meaning
  • US spelling and grammar for UK customers creeping in through the AI itself
  • No two people in the firm writing the same report the same way

AFTER AI TRAINING

  • Saving time writing the report — more time analysing it
  • Catch carried-over sections and wrong-project references on the draft
  • Catch wrong photos and mismatched image descriptions before the client does
  • Site notes and voice memos to a first draft in your house format and tone
  • Check spelling, grammar and UK English against your house standard
  • One firm style across the team — judgement, rating and sign-off stay with the professional

The problem with document templates and AI.

Templates work very well but as AI is being used more and more to read documents, summarise and integrate data the old problem with templates is further exacerbated. It becomes easier to spot inconsistencies, errors, typos and mistakes.

AI can use those same templates to help improve standardisation, consistency and reduce mistakes across a team but you need to understand how AI works and get a system in place to use it.

Common issues usingAI for Report writing

In the rush to adopt AI, lots of firms just started with whatever they had—ChatGPT and Gemini. Teams used it, saw the benefits, and now you know it works well but want to take it to the next level. It's crucial at this point: you can trip yourself up. Here's what we discovered.

“Which AI should we be using?”

Claude, ChatGPT, Gemini, Copilot, Grok — it depends on the work, and you may already be paying for the right one. Most firms have Copilot or licences sitting unused. You need the tool to work for the report, not another project.

Half your team is using their own account

Someone's on the free tier on a personal phone, pasting in site notes — weakest protections, no audit trail. A sanctioned tool and five minutes of instruction ends it.

Free and paid are not the same product

On consumer tiers, what you type may train the model. On business tiers, it generally doesn't. Same logo, different contract — and almost nobody has checked which they're on.

Your client's data doesn't belong in a public chatbot

Site addresses, client names, sensitive findings. We cover what can go in, what must be stripped, which settings matter, and how to record the decision.

You're about to be asked about this in writing

Clients, tenders and PI insurers now ask how AI was used and controlled. Every firm we train leaves with a one-page usage policy a client or underwriter will accept.

How AI for Reports training works

We train your team on your own reports. Send us one anonymised report before the first session and we open by drafting one in your house format, live, in front of your people. Your template, your language, your standards. Not a demo on a made-up example.

Three sessions, two hours each, spread across five weeks — with practice on live jobs in between. The spacing is deliberate. People only keep what they use, so between sessions your team works on real reports and brings the problems back.

Session one — from site notes to a first draft

We start with your own report. Voice memos, scribbled site notes, photos on a phone — and a structured first draft in your house format by the end of the session. Your team leaves able to do it themselves on the next job.

Session two — QA and the mistakes that reach the client

Using AI as a second reader. Catching the section carried over from a previous report, the photo from a different site, the wrong-project reference, the US spelling. We work on real drafts your team produced in the fortnight between sessions.

Session three — one house style, and where AI stops

Standardising output so the report reads the same whoever wrote it. Referencing the standards and regulations you work to, with citations you can check. And the boundary: judgement, rating, sign-off, liability and authority stay with your professional, every time.

What your firm keeps

The training ends. These don't.

  • A prompt pack built around your report types, not generic examples
  • A house-style guide your team writes to, and AI checks against
  • A short written summary of what we found and what to do next

What we need from you

  • One anonymised report before session one
  • Your report template, if you use one
  • Two hours per session from the people who actually write the reports

That's it. No IT project, no procurement, no new system to roll out.

Twelve months of follow-up, included

The training doesn't end when the third session does. You get four follow-up sessions, one every three months for a year — 30 minutes each, with the same people.

They exist because of what happens after training. New starters join. Someone hits a report type we didn't cover. A tool changes and the thing that worked in March stops working in June. A quarterly check-in catches all of that before it turns into the team quietly drifting back to old habits.

Each one is short and practical: what's working, what's slipped, what's new, and one thing to fix before the next call.

No extra cost. It's part of the programme.

The instructor

Led by someone who actuallyworks inside property and infrastructure

AI experts don't understand the Built Environment. Built Environment experts don't understand AI.

We know both.

Paul Duddy

Founder, Skirr AI

Paul has spent his career in the property and infrastructure world — which is why this training sounds like your site notes and house templates, not a tech pitch. Skirr AI is trusted by Scottish Futures Trust, Fife Council and the Scottish Government's building standards programme. He teaches the same practical methods used with those clients: live on your documents, with clear boundaries on where AI stops and professional judgement begins.

Frequently asked questions

Will AI write our reports for us?

No, and you shouldn't want it to. AI drafts and checks; your professional signs off and carries the liability. We train the boundary as carefully as we train the tool.

Do we need to buy new software?

Often not. We start by auditing what you already pay for.

How long before we see a difference?

Session one produces a usable draft in your house format. The QA and standardisation gains build over the five weeks.

Ready to make better reports with AI?

Tell us what kind of reports you produce and how many people write them. We'll come back with a straight answer about whether training is worth it for a firm your size.

Book a training call to learn more →