What does Capiva do?
It pairs business strategy with technical execution to ship AI that produces measurable results. Both live in the same team — there is no handoff from a firm that designs to a shop that builds.
Boutique is a choice, not a stage. The founder leads every engagement directly, and that is what makes the shorter cycle possible: fewer layers between the decision and the person doing the work.
How does Capiva work?
In four phases, each ending in an explicit decision gate — so no phase gets funded by inertia:
- Strategic Diagnosis
- Maps where AI creates measurable value in the operation. Stakeholder interviews, data analysis, and a roadmap prioritised by return.
- Technical Validation
- A proof of concept on the client’s real data, plus the architecture needed to reach production.
- Innovation Sprint
- A working prototype in days, with a go/no-go decision grounded in data rather than opinion.
- Evolution
- Ongoing strategic reference: new opportunities, team education, and AI investment advisory.
Who leads Capiva?
Bruno Américo is the founder of Capiva. He works at the intersection of business strategy and hands-on AI execution, and leads every client engagement directly.
The practice is built on work inside highly regulated environments and on running AI harnesses in production — not on tool demos.
How do you reach Capiva?
The conversation starts wherever you already have a question. If the problem does not have a name yet, the diagnosis is the entry point.