Implement
AI Workflow & Automation Design
Design and build of AI-enabled post-sale workflows - handoffs, risk triage, QBR prep, renewal readiness, and reporting - with people kept on every customer-facing decision.
The problem
- CSMs spend a large share of their week assembling information - call notes, usage reports, ticket history - instead of acting on it.
- Leadership has bought, or is being pitched, an AI tool, but nobody has mapped which post-sale workflows it should actually change.
- Risk signals sit in product, support, and billing systems that never talk to each other, so churn is discovered at renewal instead of months earlier.
When it's appropriate
- The core operating model is sound enough that automating it won't just speed up a broken process.
- You want more coverage and earlier risk detection from the team you already have, before adding headcount.
- You want AI applied to specific, measurable workflows - not a general 'AI strategy' deck.
What's included
- Workflow mapping and time study across onboarding, adoption, risk, renewal, support, and reporting
- Prioritization of the two or three workflows with the clearest return and data readiness
- Workflow design with explicit human checkpoints on every customer-facing or forecast-changing step
- Build and pilot on your existing CRM, support desk, CS platform, and approved AI tools
- Documentation, training, and handoff to an internal owner, with a baseline and success measure for each workflow
What's not included
- Fully autonomous customer communication without human review
- Software licensing, or procurement of new AI platforms (a vendor-neutral recommendation is included where relevant)
- A guaranteed headcount reduction or a specific GRR or NRR outcome
Typical outputs
- A prioritized post-sale automation map
- Two to three production workflows running on your stack
- Runbooks and an internal owner for each workflow
- Baseline and success measures to decide what to automate next
Likely timeline
Typically 4 to 8 weeks for the first workflows, depending on data readiness.
Next step
See the workflows in detail
Review the post-sale workflows where AI earns its place, and the principles that keep people in the loop.
Next step
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