A faster route than an internal build
First evidence sooner.
DevOps and AI Engineers
Keep what your team built. Add the judgment that gets it adopted.
Your agent can run correctly and still pick the wrong move. Zime adds the judgment-and-behavior layer above your stack, and your team releases it like code.
Acme Engineering
# gtm-engineeringGTM engineering
Riley9:41 AM
@Zime Why did our renewal agent recommend a two-year term to Emily on Acme Freight?
ZimeAPP9:41 AM
Decision trace
- Package
Renewal: multi-year at risk. Version 4, promoted 12 days ago.
- Authorized by
Q3 priority: protect renewals with multi-year terms. Approved by Dana, Chief Revenue Officer.
- Evidence
- Result
Recommend only. Emily adapted the draft and sent it. The buyer asked for a two-year order form.
Message # gtm-engineering
1,200+
GTM behaviors
trained with 50K+ human-in-the-loop hours.
5 mins
to go live
with your GTM judgment, ready to drive adoption.
80%
of reps running behaviors
in 90 days, resulting in 20% uplift in deals won.
Business Case
What does your team gain from Zime, and when should you build?
Your team reports adoption and deal movement, not logins.
ROI proof you can drive
Traces from strategy to deal movement.
Adoption you can report
Four levels, with logins left out.
A CI/CD harness for sales
Encode to refresh, in one lifecycle.
Protection from stale logic
Versioned packages and managed refresh.
Less to build and maintain
Engineers return to your product.
The Solution
How does Zime add revenue judgment above the stack you already run?
Zime supplies the judgment-and-behavior layer: your company's current strategy and field judgment, encoded as behavior your agents and reps can execute.
Keep
Zime runs above the models, frameworks, and controls you chose
- Your models and agent runtime execute the package.
- Connectors bring only the CRM, call, and messaging context your team authorizes.
- Identity, environments, and release approval stay in your control plane.
Your stack stays yours, and gains a layer that knows what happens next.
Enterprise Sales Harness→Your stack, unchanged
Models · yours
Agent runtime · yours
Identity and release · yours
Zime · one layer added above
Govern
Central policy sets four guardrail states
- The Behavior Graph says what the situation calls for. The Skill Graph says how.
- Recommend, act, escalate, or request approval.
In a live deal, the person still decides.
Behavior Graph for Sales→Four guardrail states
Recommend · the agent suggests
Act · policy allows it
Escalate · hand to a manager
Request approval · pause until approved
Release
Revenue behavior ships through one governed lifecycle
- Encode, package, evaluate, promote, propagate, and refresh.
- The gate sits between evaluate and promote. Approval binds to one version.
- Judgment Evals test each change before authority expands.
Strategy changes ship as releases, not as prompt edits.
Zime Workbench→One lifecycle
Encode · package, evaluate
Gate · approval binds to one version
Promote · propagate to every surface
Refresh · data, behavior, strategy
Prove and maintain
Each trace ties an action to strategy and result
- A trace runs from the package version to the deal's result.
- Adoption counts at four levels, from eligible reps to outcome contribution.
- Cost and latency sit beside quality and policy.
Learning from execution feeds the next release.
Programmatic Adoption→Every action leaves a trace
Package · the version that ran
Strategy · what authorized it
Evidence · what supported it
Result · what the deal did next
Shared control
Who controls what when Zime runs above your stack?
Your enterprise holds identity, environments, model selection, and release approval. Zime holds the Behavior Graph schema. Both set the first motion together.
YoursSharedZime
- Identity and accessYoursSharedZime
- First motionYoursSharedZime
- Behavior Graph schemaYoursSharedZime
- Models and frameworksYoursSharedZime
- Test scenariosYoursSharedZime
- Strategy mappingYoursSharedZime
- EnvironmentsYoursSharedZime
- Gate evidenceYoursSharedZime
- Package registryYoursSharedZime
- Release approvalYoursSharedZime
- Escalation pathYoursSharedZime
- Judgment EvalsYoursSharedZime
- Guardrail stateYoursSharedZime
- 90-day planYoursSharedZime
- Adoption telemetryYoursSharedZime
Book a working session
Book a working sessionBring one motion. Leave with a production-proof design.
In one working session, Zime's engineers and your AI team define eight things, from the first capability package to the proof's exit criteria.
- Step 1
The first capability package
And the motion it carries.
- Step 2
Data and environment
The customer-owned data and the environment boundary.
- Step 3
Model and integration
The model, framework, and workflow integration.
- Step 4
Guardrail state
The state the package starts in.
- Step 5
Scenarios
The golden scenarios and the failure scenarios.
- Step 6
Approval path
Who approves, by role.
- Step 7
Runtime telemetry
What each action records.
- Step 8
Exit criteria
For the proof, and the targets for day 90.
FAQ
What do engineers ask about Zime and DevOps for RevOps?
What is DevOps for RevOps?
DevOps for RevOps is the production discipline for the lifecycle of company-specific revenue behavior. It encodes, packages, evaluates, promotes, propagates, and refreshes that behavior, and rolls it back or retires it when a release fails or a motion ends.
Does an engineering team have to replace its models or agent frameworks?
No. A team keeps its agents, connectors, and data. Zime adds one governed judgment-and-behavior layer above them, so the build-versus-buy question shrinks to that single layer.
What does an engineering team ship with Zime?
A team ships capability packages: a governed behavior or skill definition, its link to the strategy it supports, its context, integrations, conditions, evaluations, and metadata. At runtime, a package resolves a Deal Motion: the sequence of behaviors for one deal, one role, and one moment.
How does Zime control what an agent may do?
Central policy sets four guardrail states for every agent, customer-built or Zime-delivered: recommend, act, escalate, and request approval. In a live deal, the person decides.
How does a team release a change to revenue behavior?
Through one lifecycle: encode, package, evaluate, promote, propagate, and refresh. The gate sits between evaluate and promote, so a change that fails its Judgment Evals never reaches the field.
When should a team build the judgment layer itself?
A team should build when revenue behavior infrastructure sets its product apart for years, the company will fund continuous strategy and evaluation work, and the team holds strong behavioral ground truth. An internal build carries three costs: opportunity cost, technical debt, and adoption risk.
How fast can an engineering team see evidence?
Zime targets about three weeks to first evidence on a live pipeline, through a Proof of Value that ends in the customer's decision: go, revise, or stop. Zime targets 90 days to substantial value and makes no promise of revenue.