Execution Context

Turn CRO strategy into rep execution.

Knowledge graphs surface insights. Copilots suggest. Dashboards lag. None get your strategy executed. Zime's Execution Context encodes what your CRO wants done, drives the right behavior on every deal, and verifies it was done. Live in 7 days.

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Your GTM strategy is not reaching the deal.

You launch a new motion. Enablement ships the deck. Managers reinforce the message.

But in live deals, execution still depends on rep memory.

Different reps tell different stories.

New priorities get missed.

Objection handling goes off-message.

Leaders cannot verify what changed.

Your AI stack is trained on history. Your quarter depends on what changes next.

Gong, Glean, Salesforce, GPT — all build knowledge graphs from your data exhaust. Three things they can't do:

Capture strategy that hasn't been executed yet.

A new CRO initiative has zero calls to learn from. By the time the graph sees a pattern, the quarter is over.

Hold conditional specificity.

HP sells Poly to one buyer, AI-PC to another. Versa runs five product pillars. Reps need the playbook for this deal, this persona, today. A graph flattens this.

Carry CRO authority.

A graph suggests. It can't tell a rep "do this because the CRO said so." Reps act on authority, not on confidence scores.

The knowledge graph is the substrate. The Execution Context makes it actionable.

The loop your AI stack is missing: Prescribe → Execute → Verify → Improve

Most AI tools stop at recommendations. Zime runs the full loop: it tells reps what to do, guides them while the deal is happening, checks whether it happened, and improves with every outcome.

PrescribeBefore the call

Zime turns CRO strategy into deal-specific actions before the rep joins the meeting.

For every call, Zime uses:

  • Deal context: stage, product, region, segment, competitor, CRM history.
  • Buyer persona: CIO, CFO, RevOps, technical evaluator, champion, economic buyer.
  • GTM priority: new SKU, partner motion, expansion play, competitive displacement.
  • Winning patterns: what top reps did in similar deals that advanced or closed.
ExecuteDuring the call

Zime guides the rep while the conversation is happening, inside the tools they already use.

It surfaces:

  • The right question based on deal stage, buyer persona, and competitor mentioned.
  • The right objection response for the product, competitor, and segment.
  • The right proof point from approved messaging or similar wins.
  • The right next step based on what the buyer just said.
VerifyAfter the call

Zime checks whether the prescribed behaviors actually happened.

It answers:

  • Did the rep ask the renewal question?
  • Did they pitch the Gartner comparison?
  • Did they handle the budget objection on-message?
  • Did they move the deal to the right next step?
ImproveAcross every deal

Every verified behavior makes the next recommendation sharper.

Zime learns:

  • Which actions move deals forward.
  • Which proof points work by persona.
  • Which objections predict deal risk.
  • Which messages should be reinforced or retired.

Your Execution Context in 7 days

Day-by-day deployment with FDEs, ingestion, governance, and measured execution.

  1. Day 0

    FDE kickoff with CRO, PMM, Product. Marching orders extracted.

  2. Day 1–3

    Ingestion of calls, CRM, decks. RL on your company's language.

  3. Day 4–5

    Human-in-loop validation. Governance and access rules locked.

  4. Day 6

    First marching orders ship to reps and surface in connected agents.

  5. Day 7

    Execution measured. CRO sees adoption. CIO sees a governed model live.

Strategy becomes guidance. Guidance becomes behavior. Behavior gets verified. Verified behavior improves the next recommendation.

The execution layer for your whole AI stack.

Zime already turns CRO strategy into Winning Behaviors, call guidance, CRM updates, battlecards, and win/loss intelligence.

With MCP, that same Execution Context can also power the agents you already use or build in-house.

Let every agent read from the same GTM brain.

  • Claude answers using your GTM strategy.
  • Forecasting agents see whether Winning Behaviors were executed.
  • Deal-desk agents understand pricing context and approval logic.
  • RFP agents reuse approved messaging, proof points, and product language.

One Execution Context. Every agent. Same strategy, language, and evidence base.

Proven across 15 mid-market and enterprise customers.

OutcomeCustomer
6 months → 7 days new-product launch, zero PMM/enablementSonicWall (MPSS)
16% more deals on new productsSonicWall
$200K more revenue per rep (20% messaging consistency, 50% fewer objections)HP
$400K saved in PMM headcount (1,000+ objections in <2 hours)Versa Networks
3.5 → 1.9 fatal objections per callTenarai
$30K → $397K+ ACVVersa Networks
250% NRR15 logos

CROs at HP, SonicWall, and Versa available for reference calls.

Frequently asked questions

See your Execution Context in 7 days.

Bring your CRO's marching order, 5 won-deal recordings, 5 lost-deal recordings, and read access to your CRM. We'll deploy your context model in Slack or Teams, generate prep notes on 10 live deals, and score the last 30 days of your team's calls. No procurement. No MSA. No integration project.