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