TRAINING + ENABLEMENT SYSTEMS

BUILD CAPABILITY.CHANGE BEHAVIOR.MOVE PERFORMANCE.

Sales EnablementPartner EnablementTrainingAI AdoptionLearning Systems

EZ Enablement, founded by Erez Haimowicz, helps companies build practical GTM, sales, partner, and AI enablement systems that turn knowledge into confident execution and measurable performance.

Faster RampGet people productive sooner.
Better ExecutionTurn methodology into field behavior.
AI-Powered WorkflowsRemove friction with useful automation.
Measurable GrowthConnect readiness to business outcomes.
Erez Haimowicz
Las VegasPEOPLE.
SYSTEMS.
REVENUE.
ALWAYS.
Know it. Practice it. Prove it. Perform.PEOPLE · SYSTEMS · REAL IMPACT

How EZ Enablement works

Start with the performance problem. Build the system around it.

We do not start with a course, a content request, or whatever tool is fashionable this quarter. We start with the performance problem: where execution varies, where people are guessing, where ramp is slow, or where good strategy gets lost before it reaches the work.

Then we build the system around it: capability → practice → proof → workflow → reinforcement → analytics.

01 / 0→1

Build the thing that does not exist yet.

Clear responsibilities, work requests, onboarding, readiness checks, manager coaching, and progress measures when a team needs structure from scratch.

02 / REVENUE EXECUTION

Turn methodology into behavior.

Customer discovery, deal qualification, competitive practice, manager coaching, and useful sales records that show whether selling habits are changing.

03 / PARTNERS

Make the ecosystem scalable.

Clear learning paths, readiness checks, useful partner portals, and ongoing training for resellers, managed service providers, distributors, systems integrators, and technical teams.

04 / AI + SYSTEMS

Use technology to remove friction.

AI knowledge assistants, searchable content, automation, conversation intelligence, and connected enablement technology that helps the field find and use the right answer faster.

Founder track record + selected builds

The experience behind EZ Enablement.

These case studies show systems Erez “EZ” Haimowicz led or built inside the organizations named. They are the operating experience behind EZ Enablement, not a claim that those companies were EZ Enablement clients. Open any case study for the full problem, system, execution, tools, and measured outcome.

The operating model

Know. Practice. Prove. Perform.

Completion is not the goal. The standard is whether somebody can understand the move, rehearse it, demonstrate it, and then use it when the business actually needs it.

01 / KNOW

Understand the move.

Clarify the buyer, business problem, value, process, product, or methodology the field needs to understand.

Evidence: knowledge benchmark + message recall
02 / PRACTICE

Rehearse the workflow.

Use scenarios, discovery, objections, demos, roleplay, coaching, and realistic practice before the skill is needed live.

Evidence: observed practice + manager feedback
03 / PROVE

Demonstrate readiness.

Certify against observable criteria so readiness means demonstrated capability rather than content completion.

Evidence: performance score + readiness threshold
04 / PERFORM

Use it in the business.

Inspect live opportunities, partner motions, CRM behavior, calls, and business outcomes to see whether the capability transferred.

Evidence: behavior + pipeline + revenue movement
0–30 daysAdoption

Participation, practice, usage, certification starts, manager engagement, and baseline signals.

31–60 daysBehavior

Observed field execution, methodology use, coaching follow-through, content use, and workflow consistency.

61–90 daysPerformance

Opportunity quality, conversion movement, readiness, ramp, stage progression, and productivity.

90–180+ daysBusiness impact

Revenue, win rate, sales-cycle movement, ramp trend, partner contribution, savings, and sustained adoption.

Work you can inspect

See the systems, not just the claims.

These are live builds that show how I turn strategy into usable systems. One focuses on revenue execution and methodology. The other focuses on evidence-backed cybersecurity learning and readiness.

LIVE ENABLEMENT BUILD

MEDDPICC IS EZ

I built this to show what methodology looks like when it lives beyond a course. Reps inspect a live deal, separate evidence from assumptions, see what belongs in CRM, build coverage, and leave with actions they can use on a real opportunity.

Prior MEDDPICC work: methodology rollout, CRM evidence standards, manager coaching, and field reinforcement.

Live deal inspection

Northstar Systems case
Users start with an $850K opportunity and learn to pressure-test confidence against the evidence actually available.

CRM + stage behavior

Capture what matters
Each MEDDPICC element shows what to record, what good evidence looks like, and how the standard should mature by sales stage.

Happy Ears detector

Evidence or assumption?
Interactive classification builds the habit of challenging positive language before treating it as forecast evidence.

Manager coaching

Inspect the gap
Coaching prompts turn methodology into specific questions managers can use in deal reviews and forecast conversations.

Deal health builder

Coverage with consequence
Users mark validated elements and immediately see the highest-priority gaps most likely to create forecast risk.

Field activation

Use it tomorrow
Copy-ready prompts, CRM standards, next actions, and workflow guidance move the methodology into daily execution.

LIVE CYBERSECURITY BUILD

EZ Cybersecurity Encyclopedia & Academy

I built this as an evidence-backed cybersecurity learning system around Know → Practice → Prove → Perform. It connects plain-English education, validated source evidence, applied scenarios, assessment, and readiness into one experience.

Current build: encyclopedia, evidence library, academy, scenario lab, certification model, and organization readiness dashboard preview.

Cybersecurity encyclopedia

Make complex threats understandable
Plain-English definitions connect to deeper technical explanation, business impact, response guidance, framework mappings, and related concepts.

Validated evidence library

Show the proof
Primary disclosures, government advisories, law-enforcement cases, standards, implementation guidance, and technical validation map back to concepts.

Applied academy

Move beyond awareness
Structured learning paths are designed around applied cybersecurity readiness instead of passive content consumption.

Scenario lab

Practice decisions
Interactive role-based scenarios give learners a place to make decisions, see feedback, and build practical judgment.

Certification model

Prove readiness
Assessment and scenario-based proof move the standard from completion toward demonstrated capability.

Readiness dashboard

Make gaps visible
The organization view previews readiness, completion, scenario performance, and remediation priorities so learning can connect to action.

People I’ve worked with

Don’t just take my word for it.

These four are just a preview. Managers, teammates, sellers, technical leaders, and cross-functional partners have shared feedback across my career. Explore the full recommendation archive to see the broader pattern.

“Erez is very innovative, strategic and always builds very engaging enablement both virtually and in person.”
Tara TorkelsonFormer Twilio leader · direct managerView on LinkedIn ↗
“He is truly an innovator in the world of content development and strategy, always pushing boundaries and setting new standards.”
Dave EckertPartner Technical Enablement · SentinelOneView on LinkedIn ↗
“Erez was one of the strongest sales enablement leaders I've worked with to-date.”
Nick Lagalante, MPSCybersecurity marketing executiveView on LinkedIn ↗

Where I do my best work

Give me a hard GTM problem and room to build.

I’m most useful when the answer is not another training request. It’s a better system.

Scaling B2B SaaS

Teams moving from informal enablement toward repeatable global operating discipline.

AI transformation

Organizations that need AI translated into practical seller, manager, partner, and knowledge workflows.

Cybersecurity

Complex technical products where field credibility, buyer fluency, competitive differentiation, and partner leverage matter.

0→1 or rebuild

Functions that need someone comfortable diagnosing the mess, designing the architecture, and personally building the first version.

Let’s build something useful

Got a hard problem?

If you need somebody who can connect strategy, systems, AI, field behavior, and measurable business outcomes, I’d like to hear about it.

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