Diagnose the work.
We sit down with you and the people doing the work to understand where time goes, what gets stuck and what AI could make possible.
Rebuild how your team
works with AI.
You can see the possibilities with AI.
Working out what they mean for your team is harder.
We help you decide what to change, then build and test it with you.
Rethinking the weekly reportExample working brief
Does the team need a faster report — or a different flow?
An example: a team gathers project updates into a weekly report so leaders can spot issues and make decisions.
The work today
Collect updates. Chase missing details. Rewrite them into a report. Wait for the weekly meeting to raise an issue.
Questions before a build
- Which decisions actually need this report?
- Is gathering information still the constraint?
- Could AI surface issues from agreed sources?
Output: a map of the work, its constraints and a specific AI change worth testing.
A faster process isn’t always
a better way to work.
Your processes may have been shaped by how hard it was to gather information, coordinate people or produce work. AI can change what’s possible. We help you work out which steps you still need, and what you could do differently.
- Start with a real business problem
- Test what AI actually changes
- Advice and hands-on implementation
Redesign the workflow.
Together, we work out what can change, what can stop and what your team still needs to own. We agree the workflow, decision rights and review points before building.
Build and test it.
We build the application or automation you need, then test it with your team on real work. We check the outputs together and help you learn to run it.
Clear responsibilities.
Tools that support the work.
Your team will have a workflow they can run.
Your team gets useful tools, clear responsibilities and a practical way to check outputs and handle exceptions. You’ll know how the workflow runs beyond the demo.
Example workflow handover
Who does what, and when
- AI organises evidence from agreed sources
- The reviewer checks gaps and source quality
- The decision owner makes the final call
You’ll know what’s worth changing.
You’ll have a clear view of what’s slowing your team down, what could change and what’s worth building, based on what AI can do in your work.
Example rebuild brief
Question to resolveOutput
What is slowing the work?Trace the underlying constraintDiagnosis
What should change?Rethink handoffs and decisionsNew workflow
What needs building?Define scope and review criteriaBuild brief
Better tools.
The same old bottlenecks?
More output. Same decisions.
Your team can produce more reports with AI and still wait for the same approvals. The bottleneck may be the decision, not the draft.
New tools. Old handoffs.
One person on your team has a useful AI setup. Everyone around them still works the old way. We look at how the work fits together, beyond that one task.
A demo. No owner.
You’ve seen what a demo can do. Who will check the outputs, handle exceptions and keep it running? We agree those responsibilities with you.
An operator’s view.
A builder’s approach.
I’m Marc Vallverdu, a former COO and commercial operator who builds with AI.
I’ve spent my career making work happen across teams: the handoffs, the decisions and the places it gets stuck. If AI changes what’s possible, which steps should remain — and what should be rebuilt?
Thinking Shape combines that operator’s view with hands-on building. Sometimes the answer is a new application. Sometimes it’s fewer steps, or better use of what you already have.
Marc VallverduFounder, Thinking Shape
Questions
Bring the work.
Let’s find a useful starting point.
Tell us what your team is working on and where you think AI could help.
You don’t need a finished brief.