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.
2M+ agent runs a month, 10x GTM efficiency. ARIS, Luzmo and emagine, in their words.
2M+Agents run per month
10xGTM efficiency gain
50%+Lead quality improvement
3-5Tools 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.
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.
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
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.
01Positioning and sales motion: Does the way you sell match the motions you run.
02Agents, sales teams and tools: Real digital colleagues, or AI bolted onto 20-plus tools.
03TAM and agentic playbooks: Newbiz gap, recycling and champion monitoring across your market.
04TOFU, channels and activities: Signal-driven and research-led, or generic lists and templates.
05Change management: Has the team learned to work with agents and built new habits.
06Future proofing your team: Ready for the full journey and for agentic buyer volume.
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.