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Phase
Enablement
Engagement
Project
Discipline
Change Management & AI Adoption Programs

The problem this solves

AI adoption that lives in individual habits dies with staff turnover and busy weeks. One rep uses Copilot brilliantly, three others never touch it, and the process documentation still describes the pre-AI way of working, so every new hire learns the slow path by default. Meanwhile the steps AI could reliably carry, like first drafts, summaries, and data lookups, keep consuming human hours because no procedure ever said otherwise.

How we work

We take your recurring processes one at a time, things like lead follow-up, proposal preparation, meeting handoffs, and support triage, and rebuild each SOP with AI as a named step rather than an option. The rewritten procedure states exactly where AI drafts, what context it draws from in HubSpot, what the human checks before anything moves, and which workflow automation carries the handoffs between steps.

Where a process has no documented SOP yet, we document it first, because you cannot embed AI into a process that exists only in someone's head. Prompts and instructions that produce reliable results get written down alongside the SOP, so quality does not depend on who happens to be typing.

Then we train the team on the new procedures, hands-on, on your portal, and wire the supporting HubSpot workflows so the process nudges people at the right moments instead of relying on memory. The result is AI usage that is part of how work is done, survives turnover, and shows up in throughput rather than in demo enthusiasm.

Deliverables

  • Process inventory with AI-fit assessment per recurring workflow
  • Rewritten SOPs with explicit AI steps, human decision points, and context sources
  • Documented prompts and instructions for each AI-assisted step
  • HubSpot workflows configured to carry the process handoffs
  • Team training on the new procedures, recorded
  • Review checkpoint after the SOPs have run for several weeks

What buyers ask before scoping.

Which processes are good candidates for AI-embedded SOPs?

Recurring, text-heavy, and judgment-light steps: first-draft follow-ups, call and record summaries, meeting prep, data enrichment lookups, and internal handoff notes. Poor candidates are negotiation, pricing decisions, and anything where an error is expensive and hard to spot. The process inventory sorts your workflows into exactly these buckets.

We have almost no documented SOPs today. Is that a blocker?

No, but it changes the shape of the work: we document the process first by watching how it actually runs, then embed AI into the written version. That sequencing is included in scope. In practice, teams without SOPs often gain as much from finally having the procedure written down as from the AI steps themselves.

How do you keep the SOPs from going stale in a drawer?

Three ways: the SOPs live where work happens, referenced from the HubSpot workflows that carry the process, not in a forgotten folder; each one has a named owner; and the review checkpoint at the end of the engagement checks real usage and updates what drifted. SOPs stay alive when the process itself keeps pointing at them.

Sounds like your situation?

30 minutes, your calendar, no slide deck. We tell you honestly whether this module fits.

Book discovery call