opsmarshal
Workflow 14 — RevOps Infrastructure

PLG-to-Sales Handoff Agent

Scores product-qualified leads from real usage events and hands sales an explainable “why now” — which behaviors fired, what they predict, what to say — with consent and product-trust boundaries checked before any usage data reaches a sales record.

At a glance

The PLG-to-Sales Handoff Agent scores product-qualified leads from real usage events and gives sales an explainable why-now — which behaviors fired, what they predict, what to say — after checking consent and product-trust boundaries. It is one of fifteen workflows in the Enterprise GTM Agent Stack, an Opsmarshal series on GTM stack architecture.

Owned by
Growth Ops + RevOps
Writes back to
CRM, Engagement platform, Audit log
Held to
≥ 70% — PQL acceptance
Gate
Permission → Evidence → Approval → Audit
Writes to: CRM + routingApproval: consent check + SDR confirmExplainability: mandatory per PQL
Business Pain

Why this exists

The status quo

PLG companies drown sales in “PQLs” that are just active users, torching trust in the motion. Meanwhile actual buying signals — a workspace hitting seat limits, an admin reading SSO docs — route nowhere.

What this workflow changes

PQLs ship with their evidence: “hit seat cap twice this week, invited a finance role yesterday, viewed pricing 3×.” Reps get a conversation starter, not a naked score — and data-use rules are enforced at handoff, not assumed.

Architecture

Reference architecture

Inputs
Product event streamversioned schema, lag-monitored
Workspace graphthe buying unit and its people
Consent + terms stateper plan tier, per region
Agent Layer
PQL Modelbehavior scoring per sales motion, trigger-based
Why-Now Writerturns fired triggers into a rep-readable narrative
Consent Checkervalidates data-use boundaries before any handoff
Governance
Gate: permission → evidence → approval → auditusage data crosses to sales only within stated terms · every PQL carries evidence + narrative · outreach volume caps protect product goodwill
Systems of Record
CRMworkspace-level PQL + contacts with inferred roles labeled as inferred
Engagement platformtrigger-matched outreach templates
Audit logconsent checks, routes, touches
DecisionChoiceRationale
Consent boundary is a gate checkUsage data crosses to sales only within stated termsPLG trust is the asset. Data-use rules — per plan tier, per region — are enforced at handoff, logged, and auditable, not assumed.
Explainability is mandatoryNo naked scores reach a repA score without a story gets ignored; a story without evidence gets distrusted. Every PQL carries both.
Live Demo

Run a scenario through the gate

Three curated scenarios — one that passes, one that flags for a human, one that the gate blocks. Watch the verdict, the evidence rows, and the audit log.

PQL Router

Governance audit log

[ready] agent idle — pick a scenario
Operator Control Panel

Someone has to run this thing

Agents don't remove operators — they change what operators watch. Console spec: who owns it, what they check, what pages them, and how they pull the plug.

PLG-to-Sales Handoff Agent — Ops Console

Owner: Growth Ops + RevOps

Daily monitors

  • Event pipeline lag — stale events score ghosts
  • Routed-PQL acceptance — same-day rep response rate

Weekly reviews

  • PQL→opportunity conversion by trigger type — which behaviors actually predict
  • False-positive review with SDRs — their rejects tune the model

Alert thresholds → who gets paged

  • Consent-boundary violation attempt → sev-1, compliance notified
  • Event pipeline gap >2h → Growth Ops

Manual controls

  • Trigger threshold editor per motion
  • Region / plan exclusion rules
  • Kill switch — scoring continues in shadow; routing halts
Eval Metrics

What this workflow is held to

≥ 70%
PQL acceptance
reps act on the routed lead without rejecting it
×
PQL→opp conversion vs. MQL baseline
the motion's justification, tracked per trigger
0
Consent violations
hard invariant, verified from the audit log
Failure Modes

How it breaks, and what catches it

Signal decay

A product redesign changes event semantics; the model keeps scoring ghosts of the old flow. Mitigation: Event schema versioning — unversioned changes quarantine the affected triggers until re-validated.

Sales spam-back

Reps blast every PQL and poison the product-led goodwill the motion depends on. Mitigation: Trigger-matched outreach templates, volume caps, and product-team visibility into sales touches on PLG accounts.

Entity confusion

Scoring individuals when the buying unit is the workspace produces nonsense handoffs. Mitigation: The PQL entity is the workspace; people are contacts within it, with inferred roles explicitly labeled as inferred.

Opsmarshal builds workflows like this one inside client stacks — see GTM stack architecture and AI enablement and agentic workflows, or book a call to walk through your own.

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