Two products aimed at the same gap: customer operations decisions made on evidence instead of on decks.
Thesis
Sourcing becomes a data problem the moment vendor promises are captured, structured and tracked against delivered outcomes. Whoever holds that evidence holds the negotiation.
What's built
Sourcing strategy and vendor evaluation turned into a structured evidence model
Vendor promises tracked against delivered outcomes over time
A decision layer for strategy, selection and accountability
Who it's for
CX and customer operations leaders buying or governing outsourced delivery.
Thesis
Adoption is an operations problem, not a model problem. Map the work, redesign the workflow, then put AI where the volume and the repetition are — with quality control attached.
What's built
Process mapping and workflow redesign with operating teams
AI employees for repeatable, high-volume work
Adoption support, quality control and measurement
Who it's for
Operating teams that need AI in production, not in a slide deck.
