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Definition and template

What is a RevPlay?

A RevPlay is a governed, account-centric GTM motion with a defined trigger, shared context, bounded actions, named owners, human approval points and measurable outcomes. Fully managed AI agents can prepare and coordinate the repeatable work, while people retain judgment, customer decisions and final approval.

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Definition

A play becomes a RevPlay when execution is explicit

A campaign, task list or prompt is not yet a RevPlay. A RevPlay connects a commercial situation to the coordinated work required across marketing, sales, customer success, partners and RevOps.

The design must make the operating contract visible: why the play starts, what context is required, what agents may prepare or update, which person owns each decision, what evidence travels with the work and how the outcome will be reviewed.

  1. 01

    Trigger

    A defined account, opportunity, customer or operating condition starts the play.

  2. 02

    Context

    Approved CRM, activity, product and business rules establish what is true.

  3. 03

    Prepare

    Agents research, inspect, summarize and assemble the next bounded action.

  4. 04

    Approve

    The accountable person reviews judgment, risk and customer-facing work.

  5. 05

    Execute

    The approved action moves through the system of record and named owners.

  6. 06

    Learn

    Completion, edits, exceptions and outcomes improve the play deliberately.

Anatomy

Design eight parts before choosing an agent

Starting with the agent encourages capability-first design. Starting with the motion makes the business rule, human responsibility and evidence standard testable before technology enters the conversation.

Use caseDesign questionRequired evidenceNamed owner
ObjectiveWhat commercial or operating condition should change?Baseline and review cadenceBusiness owner
TriggerWhat exact condition starts or excludes the play?Queryable rule and reason codeRevOps
ContextWhich records, definitions and sources are approved?Source inventory and freshness ruleData owner
Agent workWhat may be researched, prepared, recommended or updated?Permission boundary and test casesWorkflow owner
Human decisionWhere is judgment or customer risk present?Approval matrix and escalation pathAccountable GTM role
CompletionWhat is trustworthy completion?Evidence packet and system-of-record updateProcess owner
RecoveryWhat happens when context is missing or a step fails?Exception and rollback pathOperating owner
OutcomeWhich workflow and business indicators are reviewed?Definitions without unsupported causal claimsBusiness and analytics owners

Worked example

RevPlay: qualified account signal to owned action

A target account reaches an agreed engagement threshold. The play confirms identity and ownership, assembles recent account and opportunity context, recommends the permitted next motion and routes the prepared work to the responsible seller or marketer.

The person reviews the recommendation and any customer-facing draft. Approved changes return to the CRM, exceptions route to RevOps, and the team reviews acceptance, completion, SLA, pipeline movement and edits without claiming the play caused revenue on its own.

  1. Design

    Make the contract explicit

    Write the trigger, context, permissions, approvals, completion evidence and outcome definitions.

  2. Pilot

    Run on a bounded cohort

    Use representative accounts, inspect every output and preserve a manual fallback.

  3. Scale

    Widen only with evidence

    Expand scope after quality, adoption, exceptions and operating ownership are stable.

A RevPlay on its Review and Activate step: name, lifecycle stages, classifications, KPIs and the day-by-day action timeline, all editable before it goes live.
The Review and Activate step of a RevPlay. Before the play runs against a single account, the whole definition is laid out for a person to check: what it is called, which lifecycle stages it targets, how it is classified, the KPIs it is measured on, and every timed action in order. Nothing is enrolled until someone activates it here. Screenshot of the RevTech application; sample data.
A play held at Review & Activate. Everything the canvas asks you to write down has to be settled before this step releases it.

Failure modes

Why repeatable plays still fail

A named play can still be a loose collection of tasks. The failure appears when teams cannot explain why it started, which facts were used, who owns the next decision or what trustworthy completion looks like.

  • The trigger is descriptive rather than queryable.
  • Account and opportunity identity are unresolved before work starts.
  • The play assumes context that is stale, missing or outside the approved boundary.
  • Customer-facing work has no explicit human decision owner.
  • Exceptions disappear into a queue with no recovery SLA.
  • Activity is counted, but completion and commercial outcomes are never reviewed separately.

Downloadable template

Design the motion before configuring the agents.

A fillable Markdown canvas for the objective, trigger, context, actions, owners, approvals, evidence, recovery and outcome review.

Download the RevPlay canvas (PDF)

Frequently asked questions

A sales play usually guides seller action. A RevPlay can coordinate a cross-functional account motion across marketing, sales, customer success, partners and RevOps with explicit agent and human responsibilities.
No. The operating design comes first. Use an agent only where context-based preparation or coordination adds value inside a governed boundary.
The business owns the objective and decisions, RevOps typically architects the process and controls, and the operating owner runs the repeatable system. With RevTech, we run the managed agents while the customer governs them.

Turn one recurring motion into a governed RevPlay.

Start with the business objective and decision boundary. The agents come after the operating contract is clear.

Demo

Try the demo.

See agents carry the repeatable work of GTM across sales, marketing, customer success, and RevOps. Every action prepared, reviewed, and recorded. Fictional data, real product.

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