AI opportunity review
Where AI saves time or improves quality in your business, ranked by value and risk.
AI adoption consulting
Put AI to work on the tasks that matter, safely.
We find where AI saves time or improves quality in your business, starting with the tools you already pay for. We train your team on real tasks and keep a person in the loop wherever a mistake would be costly.
Sounds familiar?
When AI is everywhere except in your daily work.
- People use AI tools on their own, with no shared rules or results.
- You pay for AI licences that few people use well.
- You know AI could help but not where to start or what is safe.
- Pilots never made it into everyday work.
- You worry about data, mistakes and AI acting without oversight.
What you get
AI your team uses every day, with clear rules.
We deploy by risk: drafting, summarising and filing first. External actions such as customer emails or anything touching money always need human approval.
Team training
Practical sessions on your tools and real tasks, so skills apply the next morning.
Assistants and agents
AI assistants and agents set up for specific jobs, with logs and human review where it matters.
Workflow automation
Repetitive steps automated across the tools you already use, documented for your team.
Ways to start
Two ways to start with AI.
Both are fixed in scope, so you know what you get before you begin.
AI Leadership Kickstart
For founders and leadership teams who want to understand and use AI themselves before rolling it out.
- Remote sessions of 30 to 60 minutes
- Hands-on use on your own work
- Clear rules for safe use
- A short list of priority use cases
AI Implementation Partnership
For teams ready to put AI into everyday work, with a fixed scope and verified deliverables.
- Use cases agreed up front
- Assistants, agents or automations in use
- Team training on real tasks
- Documentation and handover
How we work
Four stages, each with a clear output.
Understand
We review your work, tools, data and risks and find the tasks where AI helps most.
You receiveA written diagnosis and agreed priorities.
Design
We agree use cases, rules for safe use and how success will be measured.
You receiveA plan to approve, with scope and measures.
Build
We set up assistants, agents and automations with your team and train people on them.
You receiveWorking changes in use, documented for your team.
Improve
We review use and quality, adjust and hand over systems your team can run.
You receiveA review against the agreed measures, and a handover.
Selected clients
Companies we have worked with.
Questions
Common questions.
- Do we need to buy new AI tools?
- Usually not at first. We start with the tools you already pay for and only recommend new ones when they clearly earn their place.
- How do you handle data and privacy?
- We agree rules for what data AI can see, choose settings and tools that respect them and keep people reviewing anything sensitive.
- Will AI replace our team?
- Our aim is to remove repetitive work so your team can spend more time on judgement, customers and quality.
- What happens after the engagement?
- You keep the systems, documentation and skills. Your team runs them independently; we can stay on in an advisory role if useful.
Related areas
Problems rarely stay in one area.
Next step
Tell us what you're working on.
Start with a conversation. You don't need a formal brief, just a sense of the challenge you want to solve.
What happens next
- You book a call at a time that suits you.
- On the call we get to understand the situation, your goals and any constraints.
- We follow up with a written proposal: approach, scope and next steps. If we're not the right fit, we'll tell you.