Vetted by
shipping,
not by deck.

Priya spent eight years inside a $400M industrial operator running their AI portfolio before joining Sparki. Her superpower is killing the wrong AI bets before they reach the board.

Maya has shipped 14 production AI workflow automations across finance, healthcare claims, and logistics. She specialises in the messy middle — where an LLM, an RPA bot, and three legacy systems all need to agree on what just happened.

Aiden ran AI engagements at a top-three strategy firm for nine years before deciding the work needed actual operators in the room, not just slides. He still writes the best one-pagers in the marketplace.

David has rescued more than one mid-market RPA program from total replacement, by surgically inserting LLM steps where deterministic bots break down. Expert in change management and exception design.

Marcus builds eval-first LLM systems. He treats every prototype as a falsifiable claim: if it can’t be measured by week three, it shouldn’t be funded into week four.

James is the engineer you bring in when the pilot worked but the production rollout keeps falling over. Specialises in observability, drift detection, and the bureaucracy of getting AI past a mid-market security review.

Sophia ships demos that survive contact with the buyer’s real data on day one. She refuses to build prototypes that can’t be evaluated end-to-end before the second sprint review.

Elena untangles the data plumbing that quietly kills mid-market AI projects. If your CRM, ERP, and product analytics don’t agree on what a customer is, she’s the fix.