How Evergrowth works

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All 17 slides, with the talk track and the key facts of each.

Slide 1 · Cover

How Evergrowth works

An agentic GTM workspace, explained for the whole team.

  • Eva + 12 specialist agents

Slide 2 · The shift, before

Sales team + AI features & automations

AI just builds more silos

  • The team today.
  • Sales and marketing each run a stack of point tools.
  • It all dumps into the CRM, sequencers, dialers. Data, not context.
  • The rep leans on ChatGPT; one GTM engineer runs the heavy AI.
  • AI, bolted on everywhere.
  • The toll: 20-40+ tools, 12+ hrs manual work, 70% not selling.
  • The result: more silos, AI bolted everywhere, zero agents.

Slide 3 · The shift, after

What a hybrid GTM team looks like

Agents & humans working together

  • The same team. Every rep now has a squad of agents.
  • Eva sits at the center and orchestrates them all.
  • Every agent reports up to Eva.
  • One shared intelligence layer: your ICP verticals, personas, value prop.
  • Context flows both ways with your CRM and tools.
  • ...and both ways with every AI assistant, via MCP.
  • The same context out to all of them: actionable insights, consistent outputs.
  • The result: 70% of the week selling, 0 hrs manual, 10x output.
  • 3-5x tools replaced.
  • Unlimited agents. No more silos.

Slide 4 · Automation vs augmented

AI automation vs. AI augmented

Same rep, same tools, a completely different day

  • The rep opens ChatGPT. Prompt, wait, repeat.
  • Is this account even a fit? Check the site and CRM by hand.
  • Find contacts with emails? Bounce between LinkedIn, ZoomInfo, Apollo.
  • Research the company? Read the site, news and filings yourself.
  • Why would they buy now? Guess from whatever you found.
  • Write the first message? Draft it from scratch.
  • The toll: 70% of the week not selling, 12+ hrs of manual work.
  • With Evergrowth: RevOps loads your context once, in the Agent Training Center.
  • One click launch, or schedule it, from anywhere, via MCP.
  • Eva picks it up and orchestrates the whole squad.
  • Qualified against your ICP, not generic filters. 30 seconds.
  • The right contacts, matched to your personas. 2 minutes.
  • Email and phone verified and scored. 20 seconds.
  • Researched and scored on your signals. 30 seconds.
  • The why-now trigger, identified. 30 seconds.
  • The outreach talk track, in the rep's voice. 1 minute.
  • 1 account or 1000. Same execution speed.
  • The rep walks in already briefed. 70% selling, 0 hrs manual.
  • 3-5x tools replaced. No more silos.

Slide 5 · A workflow, end to end

A workflow, end to end

Eva preps it. Your rep sells it.

  • Eva runs the squad, the whole Newbiz play, before a rep logs in.
  • Account Qualification filters companies on ICP and firmographic fit.
  • Account Research: signals, tech stack, hiring, funding, news.
  • Contact Finder finds the people who match your personas.
  • The Waterfall finds verified email and phone across 20+ vendor databases.
  • Contact Qualification verifies them and builds a DISC profile.
  • Play Copywriting writes the outreach, from research, not templates.
  • Then it's pushed straight into your CRM and sequencer.
  • Verified contacts, personalized emails, call scripts, ready to action.
  • Your rep opens it, reviews, and hits send.
  • Eva does the prep. Your reps spend their time selling.

Slide 6 · The funnel, without agents

The full funnel, without agents

You already use AI. It just works one rep at a time.

  • Seven stages. This is the week your team runs today.
  • Your team: SDR, AE, Account Manager. Or one full-cycle rep owns it all.
  • They already use AI. One rep at a time, context pasted by hand.
  • After the deal, more of the same.
  • Now color it. Green is selling. Red is not. 70% of the week.
  • And it all lands in the CRM as data without context.

Slide 7 · The funnel, with agents

The full funnel, with agents

Eva and the agents underneath. Your team on top.

  • Same funnel, same team. The dashed outline is your week by hand.
  • RevOps runs the Agent Training Center. Train once, every agent aligned.
  • Between your team and the agents sits Eva. Every rep plans with her, and she can run them.
  • New business: agents absorb the red work. The green stays yours.
  • Right of Close: the same agents, re-aimed. Deliver stays yours.
  • What stays human is selling. 70% of the week.
  • And the CRM? Two-way, and actionable context, not just data.

Slide 8 · Both motions, one squad

Your motion shapes the work. One squad does it.

Same agents. High-velocity goes wide, enterprise goes deep.

  • One squad, Eva and your 12 agents, builds the account graph. Reps work it.
  • High-velocity: the squad works many accounts, one contact each, every week.
  • Enterprise: the squad maps the full buying committee on a few deep accounts.
  • It all syncs to your CRM and sequencer, where reps take it from there.
  • Wider or deeper, the same squad does the research.
  • High-velocity (Go wide): 30 to 60 accounts / week. TAM 5K-10K · $5K-$50K deals · 7-30 day cycle. Agents: Account Qualification (filters on ICP fit), Account Research (ranks & scores on signals), Contact Finder (finds the 1 contact), Play Copywriting (writes the outreach). RevOps automates it centrally. Reps clear the queue, never waiting.
  • Enterprise (Go deep): 10 to 20 accounts total. TAM 100s-1K · $50K-$500K+ deals · 90+ day cycle. Agents: Scheduled Research (refreshes before each touch), Account Planning (builds the account plan), Contact Finder (maps the committee), Champion Monitoring (flags champion moves). RevOps sets up the agents. Reps run them directly, no bottleneck.

Slide 9 · Audit your stacks

Audit your stacks

  • Every GTM tool sits on two axes: data to context, and single user to multi user.
  • Lead databases you replace. Your CRM and sequencers you keep, over API.
  • AI automations: single-user, data-driven. You replace them.
  • AI assistants: context, but single-user. You plug them in over MCP.
  • And here's the quadrant nobody owns: multi-user and context-driven.
  • The agentic workspace. Eva and your agents. This is the category.
  • Lead databases, CRMs & sequencers: ZoomInfo, Cognism, Apollo.io, Sales Navigator (Replace). Salesforce, HubSpot, Pipedrive, Salesloft, Outreach (API integration).
  • AI automations: Clay, 11x, Artisan, Unify (Replace).
  • AI assistants: Claude, ChatGPT, Gemini (MCP integration).
  • Agentic workspace: Build your agents here.

Slide 10 · What changes for your role

What changes for your role

Eva orchestrates your agents for the whole team.

  • Eva sits in the middle, orchestrating your 12 agents for the whole team.
  • Sales reps: more selling, less research.
  • RevOps: build once, run forever.
  • CRO: full pipeline visibility.
  • Marketing: finally aligned with Sales.

Slide 11 · Proof

Teams already run this way

In their own words.

  • 2M+ agent runs a month, 10x GTM efficiency. ARIS, Luzmo and emagine, in their words.
  • 2M+ Agents run per month
  • 10x GTM efficiency gain
  • 50%+ Lead quality improvement
  • 3-5 Tools consolidated

Sales reps go into the system and run agentic workflows by themselves, something I would not have expected two years ago. The platform searches relentlessly until it finds what we need.

Sven Roeleven, SVP Solution Management, ARIS. Read the ARIS story

Out of 89 accounts in our CRM, Evergrowth validated 37 as ICP-fit, and of 278 contacts only 4 were still valid. Accurate data matters far more than a lot of data that is not.

Jonathan Wuurman, VP Growth, Luzmo. Read the Luzmo story

With Evergrowth, you get an extension of your own operations team. A stark contrast to legacy enterprise tools where you adapt to a rigid, out-of-the-box setup.

Kasper Lüdeking, RevOps, emagine.

Slide 12 · Build vs buy

Build vs buy

The systems under the surface. Or one layer you build on.

  • One part stays yours: your GTM logic. Your ICP, personas and plays.
  • The surface your reps log into: Eva orchestrating your 12 agents.
  • Fed by scheduling, it runs the work flow: research, contact data, CRM sync.
  • Shared substrates every step needs: trust, model routing, scale.
  • A control plane over all of it: governance and compliance.
  • And underneath: an infrastructure team you hire and keep, plus models, data and APIs that keep moving.
  • Or adopt it: Evergrowth runs all ten as one workspace. You keep only your GTM logic.
  • Agent Training Center: Value proposition, ICP verticals, Personas
  • Orchestration: Eva runs your 12 agents in parallel: Account Qualification, Account Research, Account Planning, Contact Finder, Contact Qualification, Contact Research, Website Finder, Email/Phone Finder: email, Email/Phone Finder: phone, Play Copywriting, Voice Roleplay, Roleplay Coach.

Your agents keep doing what they do. The orchestration layer underneath is already running. You focus on building. We do the maintaining. Put your agents on it

Slide 13 · How Evergrowth compares

How Evergrowth compares

We plug into the AI and the stack you already run. We replace the point tools you stitch together.

  • We plug into the AI you use and sync to your CRM, sequencer and dialers.
  • Data vendors give you volume. Agents find, verify, and explain the fit.
  • Clay is powerful, but it is one more silo. RevOps trains once, every rep runs it.
  • Intent tools read cookies. Agents read the open web, account by account.
  • We plug into: Talk to your workspace from the assistants your team lives in, and it syncs to the stack you already run.
  • AI assistants · over MCP: Claude, ChatGPT, Gemini, Copilot
  • Your CRM, sequencer & dialers: Salesforce, HubSpot, Salesloft, Outreach, Aircall
  • We replace Data vendors (ZoomInfo, Apollo, Cognism): Agents find and verify contacts, then explain the fit. Compare
  • We replace Enrichment and automation (Clay): RevOps trains once. Every rep runs the plays, no GTM engineer needed. Compare
  • We replace ABM and intent (Demandbase): Agents read the open web, account by account. Real context, not panels. Compare

Slide 14 · Pay for the work

Pay for the work, not the seats

Usage-based credits.

  • Credits, not seat licenses. Every plan includes unlimited users, plus Eva and all 12 agents.
  • Four plans by volume, from Starter to Enterprise. Pick by usage, not headcount.
  • You only pay for what the agents actually do.
  • Every plan includes: Eva + all 12 agents, Unlimited users
  • Starter: from €747 per month ($881, £642). Best for 1-3 salespeople. ≈ 0.9 FTE of rep time freed. 3,300 credits included / month.
  • Pro (Most popular): from €1,957 per month ($2,309, £1,683). Best for 7-15 salespeople. ≈ 4.2 FTE of rep time freed. 15,400 credits included / month.
  • Pro+: from €4,587 per month ($5,412, £3,945). Best for 20-41 salespeople. ≈ 11.5 FTE of rep time freed. 41,700 credits included / month.
  • Enterprise: Custom volume & terms. Custom credits, talk to us.

You only pay for what the agents actually do. A credit is one unit of agent work: a research pass, a contact, a draft. Most accounts cost only a few, and yearly plans are 5% off. See the full breakdown

Slide 15 · Rollout

Rollout

Live in weeks, not quarters. A 12-week plan.

  • Eva runs it all. Setup, weeks 1 to 3: Evergrowth stands up your workspace.
  • Tune, from week 2: agents and your reps, first qualified lists.
  • Rollout, from week 2: your reps in market, running the agents.
  • 1 to 3 weeks to value. About 5 hours of your time. We do the rest.
  • Eva (Orchestrates it all): Creates, tweaks and runs your agents, every week
  • Setup (Evergrowth RevOps): Workspace live
  • Tune (Agents + your reps): Qualified lists
  • Rollout (Your reps, agent-run): Reps selling in market
  • Milestones: Kickoff, Workspace live, Reps live, Mid-rollout review, QBR on ROI.

1 to 3 weeks to first value. Qualified accounts and ready contacts land in your CRM in the first weeks. Around 5 hours of your team's time; Evergrowth does the rest, and reps run AI-augmented plays by week 2. See the full onboarding plan

Slide 16 · Score your readiness

Score your GTM readiness

Six dimensions of an agentic GTM team. Here is where most teams start, and where best practice sits.

  • 01 Positioning: does the way you sell match your motions?
  • 02 Agents, teams and tools: real colleagues, or AI bolted on?
  • 03 TAM and playbooks: are you working your full market?
  • 04 TOFU and channels: signal-driven, or generic lists?
  • 05 Change management: has the team built new habits?
  • 06 Future proofing: ready for agentic buyer volume?
  • Most teams start near the center. Best practice fills the radar. Score your team.
  • 01 Positioning and sales motion: Does the way you sell match the motions you run.
  • 02 Agents, sales teams and tools: Real digital colleagues, or AI bolted onto 20-plus tools.
  • 03 TAM and agentic playbooks: Newbiz gap, recycling and champion monitoring across your market.
  • 04 TOFU, channels and activities: Signal-driven and research-led, or generic lists and templates.
  • 05 Change management: Has the team learned to work with agents and built new habits.
  • 06 Future proofing your team: Ready for the full journey and for agentic buyer volume.

Score your team

Slide 17 · Questions and CTA

Questions, answered

The ones every team asks, and where to start.

  • No, it won't replace your reps, and it's more than ChatGPT.
  • Your data stays yours, and value lands in 1 to 3 weeks.
  • See it on your own pipeline.
Will it replace our reps?
No, it augments them. Agents take the grunt work, research, lists and drafts, so your reps spend their time selling and closing. More selling, less busywork.
Isn't this just ChatGPT?
Same frontier models, wrapped in trained agents with your ICP, personas and plays, and connected to Claude, ChatGPT and more over MCP. The context is the edge, not the model.
Is our data safe?
Evergrowth works from your own data and permissions, with a full audit trail. SOC 2, ISO 27001, GDPR. Never trained on your data.
How fast do we see value?
Qualified accounts and ready contacts in your CRM within 1 to 3 weeks. Reps run AI-augmented plays by week 4.

See it on your own pipeline. Eva and your 12 agents, live on your accounts, in a working session.

Request a demo