Adaptive conversational intelligence that transforms tacit expertise into a living operational model.
Explore AIBOSME owners are overwhelmed by operational noise. Vital business heuristics, client history, and critical workflows exist solely in the heads of a few key people.
Information re-entered, re-sent and chased across disconnected channels with no single source of truth.
Multiple legacy systems that don’t talk to each other. The gap is filled by a person.
Volume and complexity have grown. The operating infrastructure hasn’t kept pace.
Critical operational knowledge held in one or two heads. Undocumented, undelegated, a structural single point of failure.
A single, integrated workflow translating mental habits into operational assets. Designed for time-poor SME operators with zero documentation required on the go.
Adaptive conversational voice sprints interview the owner on the go, detecting gaps and vulnerabilities.
Translates loose speech heuristics into a structured, queryable business model—generating the explicit knowledge graph.
Owners engage with their dynamic model to design safe AI pilots, seamlessly onboard staff, and confidently evaluate pitches.
A disciplined build partnering with SME operators to bridge the operational gap.
Alignment, technical design, interactive prototyping, functional module integration, and alpha/beta release deployment with pilot users.
Feature iteration based on usage data, continuous deployment cycles, onboarding early adopters, and achieving commercial scale with robust platform stability.
Combining commercial scale with specialized applied AI architecture.
25+ years of scaling commercial operations. Meta Alumni Senior Client Partner; GM at Avid Gaming. Managed 400% revenue scale programs.
MSc, MEng, BEng. Machine learning developer. Managed clinical neural-network validation architecture projects with the Nimbus Research Centre.