Strategy
AI strategy
How agents change the strategy of the company and of each team — we work through it together.
Method
The order matters. Most AI projects die between building and adoption, so we run adoption ourselves — and we only talk about scaling once the numbers are real.
Month 1
Which agents create the most business value.
We sit down with the team that does the work. A two-hour workshop maps the workflows where repetition and waiting cost the most, and we agree on what gets built first.
Months 2–3
We build the agents on the platform, into your workflows.
Based on the workshop we propose four agents and build them on the platform — shaped around your systems, your tone of voice and your quality bar.
Months 4–5
Your team makes the agents part of everyday work.
Adoption is the hard part, so we run it: a shared activation workshop, or 1-on-1 sessions so every person gets onto the platform at their own pace.
Month 6
Verified value moves agents into company strategy.
We measure the value the agents produced through your own workflows, review what worked and what didn't, and scope the wider rollout on proven numbers.
Along the way
Strategy
How agents change the strategy of the company and of each team — we work through it together.
Regulation
AI regulation moves fast. We keep your workflows compliant as it moves.
Cost
Where tokens go and what actually produces value — we make the spend legible.
Next step
The first conversation is free and takes 30 minutes. If agents are not the right answer for your workflow, we will say so.