A one-week AI consulting sprint that moves teams from indecision to direction.

Most discovery engagements take weeks, produce decks rather than decisions, and quietly bend around the team's existing assumptions. Inloop's brief was the inverse: compress the cycle to a week without losing depth, keep facilitators in charge while letting AI carry the structured parts, and leave behind a trail specific enough to act on. Hitting that brief at scale meant the platform had to do six things at once — move fast without going shallow, balance human and AI authorship, build trust from day one, handle confidential material safely, onboard new facilitators across unfamiliar domains, and keep the methodology consistent across industries.

Rather than build a new conversational AI from scratch, we extended a proven chat platform with the structure consulting work actually needs. Each engagement now sits inside a four-tier hierarchy — facilitators own inloops, inloops contain engagements, engagements unfold as conversations — which lets the platform run many parallel sprints without leaking context between them. A clone-and-template system turns every successful engagement into the seed of the next, so methodology compounds across runs instead of starting over each Monday. Behind it all sits a Ruby on Rails backend on PostgreSQL, sized for the organisational depth professional consulting actually needs.

Consulting agreements only hold up if both sides can later say, with certainty, what was agreed and by whom. We built that into the platform itself — every signature ships with behavioural fingerprints captured during the signing flow, scored for confidence, and cryptographically bound to the engagement it belongs to. Tampering breaks the chain visibly, not silently. The same provenance system tracks user actions across the rest of the engagement too, so a finished sprint leaves behind an auditable record rather than a Google doc with a timestamp.

We worked directly alongside Inloop's technical leadership and consulting professionals, structured around daily standups and async feedback loops rather than long checkpoint cycles. Engineering, security, and methodology specialists ran as one unit, and feedback from facilitator sessions came back into the platform within hours. The result mirrors the working pattern of the sprints it powers — short loops, high signal, and a structure that holds across many engagements at once.