Scope
Choose one workflow, establish a baseline and agree the measures of success.
Take one painful, repeatable process from idea to a working AI tool. We build with your team, test real cases and agree who owns it after launch.
Discuss a deployment sprintA promising demo is only a start. We define one useful workflow, work through data access and review needs, then test the tool with the people who will use it.
Choose one workflow, establish a baseline and agree the measures of success.
Build alongside the team. Test real scenarios, permissions and points for human review.
Put the tool into use, hand over the knowledge and agree who owns it next.
A clear problem is a good start. In our first conversation we work out whether it is focused enough for a sprint or needs further discovery.
We agree the boundaries for each workflow. Human review, permissions and escalation are part of the design, especially where outputs affect clients.
The aim is for your people to own and maintain what we build. Handover and ongoing responsibilities are agreed as part of the scope.
We agree a baseline and meaningful measures before building. Depending on the task, these may include time saved, output quality, adoption and the full cost of running the workflow.
Tell me about your team and the work you want to change.
Discuss a deployment sprintNeed to build team confidence first? Explore AI workshops.