Six fixed-scope AI engagements for regulated enterprises
Three engagement phases (Discovery, Build, Operate) packaged into six productized SKUs. Each one is fixed-scope, written down before kick-off, and delivered against a defined artifact list. The same TRACE methodology runs through all of them.
01.Pick the engagement that matches your stage
TRACE Discovery
1 to 2 week written read on AI readiness, regulatory exposure, and the highest-leverage use cases. Output: report plus fixed scope for Build.
Duration: 1-2 weeks
AI readiness audit
Standalone gap analysis vs EU AI Act, ISO 42001, GDPR Article 22. Output: per-system classification, control-gap register, remediation plan.
Duration: 2-3 weeks
AI Sprint
4 to 6 week proof of concept on one workflow. Shadow mode then assist mode against a real cohort. Output: working system + go or no-go memo.
Duration: 4-6 weeks
AI Lighthouse Build
8 to 12 week production deployment of one workflow. Architecture, integrations, eval, observability, runbook handover.
Duration: 8-12 weeks
AI operations layer
Monthly retainer for production AI: monitoring, drift detection, eval refresh, incident response, regulator-pack maintenance.
Duration: 12-month minimum, quarterly gates
AI strategy retainer
Quarterly executive advisory: roadmap reviews, vendor due diligence, regulator briefings, written memo. Two days per month.
Duration: 12-month minimum, quarterly gates
02.SKU, duration, scope, ideal client stage
One row per SKU. Match the row that matches where your organisation is today.
Every SKU runs on the same methodology
TRACE: Trust, Readiness, Architecture, Citations and Evidence. Read the four-pillar methodology in full and see exactly which pillar each engagement maps onto.
Not sure which SKU? Start with a discovery call.
One form. We reply within two working days with a written scope, a delivery plan, and the team you would work with.