Autonomous ramp plan adjustment (L5)
New hire ramp plans adjust themselves. The agent reads certification results, call scores, and pipeline creation, then reorders the next two weeks of ramp work. Managers approve exceptions and own the final readiness call.
The steps
- 01
Make ramp modular
Tool: Notion
Break ramp into independent modules with a prerequisite map and a measurable exit test. An agent cannot reorder a monolithic 90 day plan. Owner: enablement. DoD: module map with exit tests published.
- 02
Feed real performance signals
Tool: Gong
Certification scores, call rubric scores, and first pipeline created are the inputs. Activity counts are not. Reordering on activity teaches reps to game activity. Owner: RevOps. DoD: three performance signals wired with refresh cadence.
- 03
Let the agent reorder inside guardrails
Tool: Agentforce
The agent may reorder, repeat, or add modules within the next fourteen days. It may not extend ramp, change quota, or alter the readiness date. Those stay human decisions. Pitfall: silent scope creep into performance management. DoD: guardrails written and enforced in config.
- 04
Manager reviews weekly in one screen
Tool: Salesforce
One weekly view shows what the agent changed for each new hire and why. Managers override with a reason, and those reasons are the tuning data. Owner: hiring manager. DoD: override reasons captured and reviewed monthly.
Tools in this playbook
- Notion
- Gong
- Agentforce
- Salesforce
Next playbooks
Unfamiliar terms are defined in the AI and Revenue Dictionary. Related frameworks live in the framework library.
