Ongoing guidance when the rollout is live and the real questions start.
The rollout's hardest year starts after launch. Three tiers of monthly engagement (calibration, governance, manager coaching) sized to the work that needs doing.
For organizations operating an AI rollout and needing ongoing guidance, governance, and change support.
Advisory tier and monthly hours fixed at the discovery. Tier moves at quarterly review.
Most rollouts fail in the months after launch, not at the launch itself. The advisory retainer exists for that period: the calibration, the new use cases, the governance updates, the manager support, and the change effort that doesn't stop when the integration ships.
Duke researchers found that AI users are judged as lazier and less competent by their evaluators, unless those evaluators also use AI themselves. (Reif, Larrick & Soll, PNAS 2025, more than 4,400 participants across four experiments.)12 Manager visibility is the gate to safe team adoption. Advisory work leads with the leadership tier because the rest follows from it.
Three tiers
Essential
Up to 8 hours per month
Keep the rollout on track.
For teams running a stable integration who need light-touch guidance and the occasional course correction. A monthly call to review how things are running, written responses to governance or workflow questions as they come up, and a quarterly check to make sure the integration is still working the way it was designed to, and that nothing in the tool stack has shifted enough to require a change.
Standard
15–25 hours per month
Grow the rollout. Govern the expansion.
For organizations actively growing their rollout: adding workflows, bringing new teams on, or working through governance questions that need more than a written response. Weekly calls, hands-on review of new workflow designs, help with governance documentation, and direct coaching for managers as the rollout moves into new parts of the organization.
Comprehensive
25+ hours per month, implementation hours included
Advisory and build work running in parallel.
For organizations where the advisory work and the build work are happening at the same time. Everything in Standard, plus active hands-on support: configuring tools, designing training, writing change communications, and building new workflows alongside the team. In practice, this tier works like having a fractional AI integration and change lead inside the organization for the duration of the rollout.
What's included
Ongoing operations
Monthly check-ins
Review what's working, what isn't, and what needs to change before it becomes a problem, with the leadership and operating team.
Workflow calibration
Making sure the integrated workflows are still doing what they were designed to do as tools update and team habits shift.
Governance updates
Standards and frameworks evolve. We keep the organization's controls current so it stays ahead of the compliance curve rather than catching up to it.
Office hours
For questions that can't wait for the next scheduled call.
Incident response
When something goes wrong with an integration, an output causes a problem, or a governance control fails, a defined path to Far West for immediate guidance.
Vendor and tool monitoring
Tracking updates, deprecations, and pricing changes across the tools in the stack so the organization isn't caught off guard by a platform shift.
Usage reporting
Regular summary of how integrated workflows are performing against the original diagnostic targets.
People and change
Manager coaching
Direct support for the people closest to the day-to-day adoption. The ones who set the tone for whether the rollout holds.
Onboarding support
Getting new hires up to speed on the AI workflows already in place, so adoption doesn't erode as the team changes.
Escalation support
When a team member or manager raises a concern about AI use, a defined path to Far West for guidance rather than leaving it unresolved at the team level.
Culture and communication support
Periodic internal communications to keep AI top of mind and maintain adoption momentum after the initial rollout energy fades.
Business English training
For team members in bilingual roles: structured English coaching integrated into the retainer for professionals working across English and Mandarin in their daily workflows.
Strategic
New workflow scoping
When the organization is ready to expand: identifying the next highest-value opportunity and assessing what the build will require.
Quarterly business review
A structured session reviewing ROI, adoption rates, and the roadmap for the next quarter, with documentation the leadership team can take to the board.
AI landscape briefings
Keeping leadership current on relevant developments in AI that affect their tools, governance, or competitive position. Strategic decisions are made on current information, not last year's assumptions.
Frameworks applied
ADKAR — Applied at the individual level throughout the adoption arc, tracking where each team member is in the change journey and addressing gaps before they become resistance.
Kotter's 8-Step Model — Applied at the organizational level, sustaining momentum, removing blockers, and embedding change before declaring the rollout complete.
NIST AI RMF — Used to monitor and update risk controls as the integration matures. Governance isn't set once at launch; it evolves as the tool stack and regulatory environment change.
ISO/IEC 42001 — The management system layer, ensuring the organization's AI governance remains audit-ready as the rollout scales.
Singapore Model AI Governance — The APAC governance reference. IMDA and the AI Verify Foundation's principle-based framework, applied for clients operating across Singapore, Malaysia, and Hong Kong.
12Reif, J.A., Larrick, R.P., & Soll, J.B. (2025). Evidence of a social evaluation penalty for using AI. Proceedings of the National Academy of Sciences. n>4,400 across four experiments. DOI: 10.1073/pnas.2426766122.