Safe AI adoption for business

Faster with AI. Safer because of it.

Most businesses trying AI on their own see patchy results from it. The difference between that and a genuine return is rarely the technology itself. It is how deliberately it gets introduced, from what your team can safely share with a tool like Claude or ChatGPT, to how AI-assisted code actually gets reviewed before it reaches production.

The numbers, honestly

75%

of UK businesses using AI report improved workforce productivity

DSIT, 2025

55%

faster task completion with AI coding assistance, in a controlled study

GitHub, 2022

35%

of UK businesses now use at least one AI technology, up from 12% in 2023

ONS, 2026

90%

of software teams report using AI at work, according to industry research

DORA, 2025

29%

of developers say they trust AI-generated output to be accurate

Stack Overflow, 2025

74%

of companies have yet to show tangible value from their AI investment

BCG, 2024

Sources: the Department for Science, Innovation and Technology, GitHub, the Office for National Statistics, the DORA State of AI-assisted Software Development report, the Stack Overflow Developer Survey, and Boston Consulting Group.

From audit to ongoing supportFour steps: audit current AI use, set guardrails, train the team, then provide ongoing support.AuditGuardrailsTrainingSupport01020304

What safe AI adoption looks like in practice: where you stand today, the rules that keep data safe, a team that knows how to use the tools, and support that continues after rollout.

What we can help with

01

AI usage policy and guardrails

Clear, practical rules for what can and cannot be shared with tools like Claude and ChatGPT, so your team can use them with confidence instead of guesswork.

02

AI-assisted software development

Coding with AI tools reviewed properly, so the real productivity gains do not come at the cost of code quality or delivery stability.

03

Team training and rollout

Hands-on guidance for your team on using AI tools safely and effectively, based on what is actually proven to work, not hype.

What to consider

  • What sensitive data could end up in an AI tool by accident, and who on your team needs to know?
  • Are you using AI to genuinely save time, or just to feel like you are keeping up?
  • Who checks AI-generated code or content before it reaches a customer?

Useful questions

Is it safe to use ChatGPT or Claude with business data?
It depends on what you share and how the tool is set up. Business tiers of these tools generally do not use your data to train their models, but the responsibility for handling personal and confidential information correctly under UK data protection law stays with your business. The ICO has been clear that there is no special exemption for AI. We help you set this up properly.
Will AI actually make our development faster?
Used well, yes. A controlled study by GitHub found developers completed a coding task 55% faster with AI assistance. The more important question is whether that speed holds up once the code reaches production, which is where most businesses need help.
We already use AI a bit. Do we still need this?
Often, yes. Most businesses we speak to are using AI informally, here and there, rather than in a way that is built into how the business actually works. A short review usually turns up quick wins alongside the bigger opportunities.
Do you write a policy, or train the team too?
Both. A policy nobody understands or follows does not help. We work with your team directly so the guidance actually gets used day to day.
Is this only relevant to software teams?
No. AI-assisted coding is one part of it, but the same principles, knowing what is safe to share and how to check AI output, apply anywhere AI tools are used in the business.

Related expertise

Software development
Bespoke software that fits the way your business works. Built around your processes, not the other way round.IT support
Clear advice and practical support for the technology your team depends on.

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