PHASE 011–15DAYS
The value hypothesis
OWNERSProcess owners
Define baseline metrics, eligible volume and a risk register. Agree on intended use and what a valuable outcome looks like.
OUTCOME
An agreed baseline & use case
ZETTA² ENGAGEMENT MODEL / 90 DAYS
From AI ambition
to a measured
production decision.
Align the business case, build within boundaries, and let real-world evidence decide what comes next.
Plan Your EngagementPHASE 0216–45DAYS
Context & sandbox
OWNERSData & application engineers
Authorize retrieval baselines and integration contracts. Build a bounded workflow and the interface for human approval.
OUTCOME
A connected, bounded workflow
PHASE 0346–75DAYS
Validation & shadowing
OWNERSSecurity & pilot teams
Run adversarial and recovery tests, then launch shadow cohorts to measure real adoption and quality alongside existing work.
OUTCOME
Evidence from real workflows
PHASE 0476–90DAYS
The go / stop decision
OWNERSFinance & risk leaders
Review the evidence ledger against a 180-day benefit plan. Authorize production expansion, or stop if the case isn’t there.
OUTCOME
An evidence-led production decision
05 / DAY 90 ONWARD
Adopt.
Then scale.
OWNERSBusiness leaders & internal AI champions
Roll the system out to the wider team, redesign the surrounding workflow, train and certify internal AI champions, and hand over runbooks and observability dashboards, with ongoing support and continuous optimization.
OUTCOME
A system people use, owned by your team
A QUESTION WORTH ASKING
How fast can we get an AI system into production?
Lighthouse primer pilots are optimized to ship in 4–6 weeks. Full engagements follow a 90-day roadmap that ends in an evidence-led go/stop production decision.