Where are you with AI right now?
Clarity,
not certainty.
Nobody can see the whole map. You can still see clearly enough to take the next step: whether, where and how AI serves your mission, your relationships and your work.
Start where you are. Less AI, or none, is a fine answer. You stay in charge, and any agent asks before it does anything.
Three ways in
How can we help?
Most teams we talk to are curious and cautious at once. You don't have to work it out alone. Pick the way in that fits; you can switch later.
1With your agent
Copy this into your AI agent. It starts with an interview about you. Your answers go to your own AI provider, under its terms. Your agent tells you what it will do before it acts.
- Your first position: an interview run by your agent, written up as a short sensemaking document that shows where you stand today.
- A guide for interviewing a teammate, so you can compare positions and begin making sense of AI together.
- It stays yours. Your interview answers are not sent to Wayfinding unless you choose to add or share them. You decide what to keep and what to share.
I'd like to start Wayfinding. Read these instructions and guide me step by step. Before you create any files, install anything or share any data, tell me what you will do and wait for my OK. curl -fsSL https://wayfinding.support/agents/start.mdRead the instructions first →
2On your own
No agent needed. Keep your notes, interviews and decisions in an encrypted journey for yourself or your team. Content is encrypted on your device before we store it.
Open a private space →3With a person to guide you
No agent needed. A facilitator from one of our partner organisations can lead your team through listening, weighing options and a first decision.
Or email hello@wayfinding.support.
The Evaluation Triangle
How do we know if it's worth it?
Weigh each choice on three points, before, during and after. Saving time is not enough on its own.
Mission & Impact
Does this serve what you're here to do, and who you serve?
Human Relationships & Connection
Don't put AI between your organisation and the people you serve.
Productivity & Efficiency
Choose augmentation over substitution, deliberately.
The practice
What does this look like day to day?
It starts with listening and keeps going: working sessions on real tasks, learning from peers, and decisions you come back to. We're learning alongside the teams we work with.
Listen
One-to-one conversations with staff, including people who don’t use AI, then a shared account of what people use, avoid, worry about and want.
Interviews and sensemaking
Build together
Working sessions on a real task, side by side. Show, don’t tell, and explain the method so the skill stays with the person.
One-to-one build sessions
Learn from peers
Colleagues show each other what works on real material. Seeing a teammate do it is what gives people permission to try.
Peer learning sessions and demos
Decide and review
An authorised person chooses a bounded next step, or chooses not to act. Results are reviewed against the evidence, then you stop, adapt or repeat.
Bounded experiments with a review date
Every initiative runs the same loop
Discover
Where is human potential trapped?
Evaluate
Should we do this? Is it aligned and safe?
Execute
How do we implement and learn?
Start small, measure across all three points of the Triangle, then adapt or abandon.
Organisations move at their own pace
Build Fluency
Practical capability, confidence and shared positions.
Capture Value
Measurable mission impact in a few high-value areas.
Transform
AI reshapes how the organisation creates impact.
Some teams stay at Build Fluency on purpose. Some move back. Neither is failure.
From the practice
Holding two things at once
What we've learned while listening, before anyone recommended a tool. Curious and cautious, rarely one or the other.
“I’m not using AI innocently; I’m actively negotiating with myself about its cost.”
“I can say that the weights were lifted and that will be true, but I will get no benefit from lifting those weights.”
“More scared about the off-limits stuff than the world of possibility.”
“I will go straight into the interface.”
“What gaps can you see in my thinking? I don’t want to tell AI my final product and then AI tells me this is how you should do it.”
“Meaningfully transformed but not completely different — still tracking my own work with my own eyes.”
Outcomes
Where might we end up?
Anywhere from saying no to letting AI reshape how you work. Every point on this range is a good outcome, and stopping counts. There's no ladder to climb. The aim is a choice you can see clearly.
Stance
What should we hold on to?
Tools change. These help you keep your bearings while the water moves.
- iArticulate your moral boundaries.
- iiKnow what you’re risking.
- iiiDistrust on first use, then trust but verify.
- ivAssume you can’t take it back.
- vIt is something other.
- viIt wasn’t built for you.
- viiThe ground is shifting under you.
Your next step
Ready when you are
Want to hear when the peer network opens?
Partnering organisations
