AI strategy, readiness and governance consultingAI & Emerging Technology
Valuable AI, without the hype.
AI can improve how work gets done. It can also create risk, waste money and erode trust when it is rushed. We help you tell the difference, set sensible guardrails and put AI to work where it earns its place.
Talk about AI in your organisationSound familiar?
Problems we hear
“The board keeps asking what our AI strategy is.”
“Staff are already using AI tools. We have no idea what they're putting into them.”
“Every vendor says their product has AI now. We can't tell what's real.”
“We ran a pilot. It was interesting. Nothing happened next.”
“We need an AI policy, but we don't want one that just says no.”
Signs you need this
- There is no written guidance on which AI tools staff may use, or for what.
- Different teams have adopted different AI tools without a shared view of risk.
- AI features are appearing in systems you already pay for, often switched on by default.
- A pilot showed promise, but there is no agreed way to decide what scales.
Who this is for
- CEOs and executive teams
- Boards and risk committees
- COOs and operations leaders
- People responsible for privacy, risk or IT
Organisations that hold client, member or community information, where getting AI wrong has real consequences for trust.
What we do
Useful AI, with guardrails people follow.
- Readiness
- An honest assessment of your data, systems, people and policies, and what needs to be true before AI can be used well.
- Governance
- AI policy, responsible use frameworks and decision rights that are clear enough for staff to follow and flexible enough to keep up.
- Use cases
- Identifying, testing and prioritising the places AI helps: augmenting workflows, supporting decisions and automating routine work.
- Tools
- Independent review of AI tools and vendor claims, and help deciding what to adopt, extend or leave alone.
- Capability
- Practical training for leaders and staff so AI is used confidently, safely and well. Including advanced use, for the people ready for it.
Typical engagements
Illustrative
How this work is usually shaped
Examples of how this work is typically shaped, not client stories.
- 01
AI readiness and governance review
Current use, risks and readiness assessed, leading to a governance framework, policy and a prioritised set of use cases.
- 02
Use-case sprint
A small number of promising uses tested in real workflows with the people who would use them, then a clear decision on what to scale.
- 03
Leadership and staff capability
Workshops that build shared understanding of what AI does well, where it fails and how your organisation has decided to use it.
What you receive
Typical outputs. Each engagement is scoped to what you need, and everything we produce is yours to keep.
AI use snapshot
How AI is used now, formally and informally, and where the risks sit.
Governance framework and policy
Decision rights, risk categories and a staff-facing policy in plain language.
Prioritised use cases
A short list worth doing, each with value, risk, readiness and a next step.
Capability sessions
Workshops for leaders and staff built around your policy and your real work, not generic demos.
How we engage
- UnderstandHow AI is already being used (formally and informally), where the data lives and what worries people.
- PrioritiseUse cases weighed on value, risk and readiness, not novelty.
- DesignGovernance, guardrails and workflows designed together, so the rules fit the work.
- Implement and embedPilots in real conditions, then capability building so the practice outlasts the project.
What changes
Clear rules for how AI is used, a short list of use cases worth doing and people who know how to use it well.
- The organisation has a clear, defensible position on AI.
- Staff know what is allowed, what is not and why.
- Effort goes into a few use cases that matter rather than scattered experiments.
- Leaders can answer the board's question with substance.
Works well with
- Systems, Automation & Efficiency
AI is often most useful inside a well-designed process.
- Capability, Change & Implementation
Adoption decides whether AI delivers anything.
Questions
Frequently asked questions
We're not sure we're ready for AI. Is that a reason to wait?
Not usually. Your staff are probably already using it, so the question is whether that use is guided or not. Readiness work is often the most valuable place to start, because it tells you what to fix and what you can safely do now.
Do you build AI tools?
Where it is justified, we help design and implement AI-enabled workflows and automation. But much of the value usually comes from better governance, better use of tools you already have and a few well-chosen use cases, not from building something new.
Will you tell us to ban it or embrace it?
Neither by default. Good governance sets clear rules for different kinds of use and risk. The aim is confident, responsible use where AI helps and clear limits where it doesn't.
Which AI tools do you recommend?
We don't resell AI tools, so there is no default answer. We compare options against your use cases, your data obligations and the systems you already pay for. Often the best starting point is a tool you already license.
Is our data safe during this work?
We agree how information is handled before any engagement starts, and we design governance around your privacy, security and regulatory obligations. Where specialist legal or security advice is needed, we'll tell you.
A good first conversation about AI covers
- 01Where AI is already turning up in your organisation.
- 02What your board, clients or members are asking.
- 03What information you hold and the obligations around it.
- 04One or two tasks where people suspect AI could help.