01 / Applied AI and MCP
AI consulting · MCP · Automation
Connect AI to the systems your business already runs.
Move from generic assistants and isolated experiments to AI workflows with the context, permissions and operational controls required in production.
Discuss this with Ricardo, opens in a new tab02 / The constraint
Where this engagement creates leverage
You have useful data and repetitive work, but generic assistants cannot reach the right context or act safely.
Connect AI to the systems your team already uses, with scoped access, traceable workflows and clear boundaries around data and automation.
The first step is to define the real constraint, the systems involved and what a useful business outcome looks like. The implementation can then stay as small as the problem allows.
03 / Scope
Strategy connected to implementation
What the work can include.
AI workflows connected to approved business systems
MCP servers, tools and event-driven integrations
Human approval, audit trails and explicit data boundaries
Focus areas
04 / Proof
Commercial range and operating depth
See the platforms, systems and experience behind the advice.
05 / Contact
AI · DevOps · Software · Crisis leadership
Start with the constraint that is costing time or blocking growth.
A discovery call is enough to map the systems involved, decide whether I can help and define a useful first engagement.