The problem we are working on
Companies need to understand what people are responsible for before deciding which tasks to delegate to AI. We are building an advisor-led way to collect that work context, review it with the people involved, and connect it to governance decisions.
The stage, plainly
The hosted pilot product and fictional walkthroughs are available. We are recruiting initial pilot companies and working toward a repeatable delivery method. Customer outcomes, commercial repeatability, and broad enterprise readiness still need evidence.
Enterprise product engineering
Help turn a working pilot into a reliable enterprise product: tenant isolation, identity, observability, testing, recovery, and carefully scoped integrations. Bring examples of systems you have shipped and operated, including how you handled failure.
Advisor delivery and enablement
Help run discovery with a real team, challenge unclear findings, and train the next advisor. Show how you facilitate executive conversations, resolve conflicting accounts, and produce a useful readout with a clear evidence trail.
Identity and security expertise
Help evaluate delegation boundaries, separation of duties, approval records, lifecycle changes, and downstream enforcement. Experience with real IAM and IGA deployments matters more than a broad AI title.
Channel and enterprise relationships
Help test how a work-discovery product can fit into advisory practices and enterprise procurement. We need evidence from customer conversations and delivery economics before scaling distribution.
How a conversation starts
Tell us which problem you can help solve and share a nonconfidential example of relevant work. We will discuss scope, availability, and possible terms directly. These are expressions of interest, not confirmed vacancies, employment offers, or promises of equity.