Deployable Capabilities

Go from first use case to enterprise capability. Deploy it your way.

Deployable Capabilities packages governed capability assets, partner expertise, and Proof of Value delivery. Deploy on your own, build with Zime and its partners, or choose white-glove implementation. Then scale on evidence.

# revops

Jordan9:41 AM

We ran the discovery initiative for three weeks. Should we scale it?

ZimeAPP9:41 AM

Here is the scale recommendation.

Scale recommendationPrepared with your partner
Adoption against the baseline
  • Eligible reps25
  • In active use22
  • Executed the behavior18
  • Deals advanced a stage26 of 41

Baseline, three weeks ago: 0 reps executing.

Business-case potential
  • Deals touched41
  • Stages advanced26
  • Reps not yet reached7
What scaling requires
  • Two more manager cohorts
  • One integration to finish
  • An owner for monthly maintenance
Next capability

Multithreading, for the same team.

Your call. Zime reports, you decide.
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.

The Problem

Why do so many sales AI pilots end with neither a rollout nor a clear no?

You chose a tool and ran a pilot. You reached the end with enthusiasm, a few anecdotes, and no decision.

A build that never reaches adoption.

The in-house team ships something. Reps never make it daily work.

in-house buildnever daily work

A pilot with no baseline and no decision.

No one measured where the team stood. No one agreed what would count. The pilot ends, and nothing follows.

no baselineno agreed signalsno decision

One delivery model for every team.

One vendor sells software and leaves. Another sells services and stays. Neither asks what your team can run today.

software, then goneservices, then stayno fit check

A template library that hands over files.

Community templates arrive with no curation, no evaluation, and no owner. One-off implementations pile up, unmanaged.

no curationno evaluationno owner
The Gap

A template library hands over files. A pilot hands over anecdotes.

Neither leaves the company with a working capability and evidence it can act on.

Template library
LibraryFilesno evaluationNo owner
Pilot
PilotAnecdotesno decisionNothing follows
Deployable capability
ProofPackageEvidenceDecision
The Solution

Deployable Capabilities: governed packages, by the path that fits

Deployable Capabilities is the Zime offer of governed capability packages and the delivery paths to adopt them. Choose a path, prove it on one bounded initiative, and deploy into your existing workflows.

Choose your path

Take delivery at the level of support your team needs.

  • DIY: a harness subscription with templates and governed packages.
  • DIWY: group labs and paired sessions with Zime.
  • Co-Implementation: a forward-deployed engineer or partner works in your environment.
  • DIFY: white-glove installation through launch and managed refinement.
  • Every path delivers the same governed package.
Four paths, one package
You do moreZime does more
DIY · Do It Yourself
DIWY · Do It With You
Co-Implementation · with an engineer or partner
DIFY · Do It For You
The same governed package
Prove first

Turn one strategic priority into a deployed capability, with the evidence to scale it.

  • A partner or a Zime forward-deployed engineer runs the proof in your environment.
  • One bounded CRO, enablement, or RevOps initiative.
  • A baseline first: eligible users, the existing workflow, and deal execution, measured before deployment.
  • Daily use, behavior execution, and early Deal Motion evidence.
  • It ends with a scale recommendation. You decide: go, revise, or stop.
A proof ends in a decision
Baseline · set before deployment
Live pipeline · behaviors in the field
Recommendation · evidence, not opinion
GoReviseStop
Receive

Take delivery of one governed package that carries your company's own judgment.

  • Zime encodes your CRO initiatives, culture, tribal knowledge, and exception cases.
  • Humans review and approve every piece of encoded judgment.
  • You hold a customer-specific Behavior Graph and Skill Graph, initiative workflows, and evaluation criteria.
  • New capabilities propagate across your deployed harnesses.
One package, seven layers
  1. 1Behavior or skill definition
  2. 2Link to the strategy
  3. 3Prompts, documents, context
  4. 4Workflow and integrations
  5. 5Conditions and exceptions
  6. 6Evaluation and regression
  7. 7Owner, release, version
Draw on the community

Build on what practitioners and partners have already proven, after Zime has curated it.

  • The Sales Sagacity Community of Practice: cohorts across AI engineering, RevOps, enablement, and partners.
  • A governed contribution path: community insight becomes a reviewed capability.
  • Resources: GTM Skills, Behavior Graph and Skill Graph packages, harness templates, and evaluation packs.
  • Juice Packs: skill-shaped packs that carry deeper context than a generic skill.
  • Partners deliver guided development, co-implementation, managed delivery, and Proofs of Value.
Curation first
Community insight · goes in
Zime curation · quality review
Evaluation · before release
Versioned release · reaches your harness
Business Case

Decide to scale on evidence

The proof produces the evidence and a scale recommendation. That recommendation supplies the inputs for your own business case.

01

What success looks like

  • A bounded initiative, proven in live work
  • Daily use and executed behavior shown before scale
  • Community contributions curated into deployable resources
02

What it takes from you

  • The path that matches your team's readiness
  • A baseline set before deployment
  • A partner or forward-deployed engineer in your environment
03

For the proof

  • Eligible users
  • A working GTM-agent prototype
  • Active opportunities
  • An executive sponsor
  • Deal and conversation evidence

Who is involved

Your team

  • Capability Owner
  • AI or GTM Engineer
  • Executive Sponsor

Zime provides

  • Forward-Deployed Engineer or Partner
Before and After

From a pilot and a file to a proof and a package

Before

A pilot and a file

PilotAnecdotesno decision

  • Starting pointA vendor's standard pilot
  • BaselineNone
  • DeliveryOne model, whatever the team's readiness
  • What arrivesTemplates and prompts
  • Community contentUsed as found
  • The endAnecdotes
  • AfterwardOne-off implementations, unmanaged
After

A proof and a package

BaselineProofDecision

  • Starting pointOne bounded initiative you chose
  • BaselineSet before deployment
  • DeliveryFour paths to the same package
  • What arrivesA governed package, with evaluations
  • Community contentCurated, evaluated, and versioned first
  • The endA scale recommendation, and your decision
  • AfterwardKept current through the hub
Timeline

About three weeks to a decision, then the path to scale

  1. 1Week 1

    Set up and baseline

    Kickoff, data connection, scope, encoding, and the baseline.

  2. 2Week 2

    Run and review

    Live deployment, behaviors in the field, and evidence review.

  3. 3Week 3

    Assess and decide

    Adoption, behaviors, and pipeline reviewed together.

  4. 4Your decision

    Go, revise, or stop

    GoReviseStop

    After a go: deployment, adoption, and scaled execution.

FAQ

Frequently Asked Questions

What is Deployable Capabilities?

Deployable Capabilities is the Zime offer of governed capability packages and the delivery paths to adopt them. Each capability combines a reusable Zime foundation with a company's own strategy, culture, tribal knowledge, and operating context. A customer chooses a path, starts with a bounded Proof of Value, and scales on evidence.

What are the four delivery paths?

The paths run from least to most support. DIY, Do It Yourself: a harness subscription with templates and governed packages. DIWY, Do It With You: group labs and paired sessions with Zime. Co-Implementation: a forward-deployed engineer or partner works in the customer's environment. DIFY, Do It For You: white-glove installation through launch and managed refinement.

What is a Proof of Value?

A Proof of Value is a bounded engagement that turns one strategic revenue priority into a deployed capability and produces the evidence to scale it. It sets a baseline, runs on the customer's live pipeline, and ends with a scale recommendation. The customer then decides: go, revise, or stop. Zime targets about three weeks.

What does a capability package contain?

A capability package contains seven parts: a governed behavior or skill definition, a link to the strategy it supports, prompts and source documents with structured context, workflow and integration configuration, conditions and exceptions with evidence, evaluation and regression routines, and metadata for ownership, release, version, and freshness.

What is a Juice Pack?

A Juice Pack is a skill-shaped pack that carries deeper context than a generic skill and drops into a harness. Zime curates, evaluates, and versions each one before release.

Who delivers the work?

The customer's team, Zime forward-deployed engineers, and partners deliver the work, in a mix that depends on the path. Partners deliver guided development, co-implementation, managed delivery, and Proofs of Value.

Start alone, build with Zime, or build with a partner.

Book a Demo