Build the agent.
We run the 10 systems under it.
Evergrowth already runs orchestration, research, CRM sync, compliance and 6 more, so your team keeps building on top.
Your agent works. The 10 systems under it are yours to staff.
- Orchestration
- Scale & speed
- Scheduling
- Trust & quality
- Research
- Contact data
- CRM sync
- Model & cost
- Governance
- Compliance
Plus a team: AI engineering, data, backend, security and compliance
Build your agents here. We run the 10 systems under them.






Eva orchestrates the agents: RevOps sets them up, reps ask her.
Your agent already works. The stack underneath is what takes it team wide.
Building it was the right call. The question is what carries it from here.
Your agent works. The 10 systems under it are yours to staff.
Ops builds and orchestrates. Every rep asks Eva.
Ops builds the training and orchestrates the agents.
RevOps
GTM engineer
Marketing Ops
Workspace
Claude
ChatGPT
- +3 more: Copilot, Codex and Claude Code
- Value proposition
- ICP verticals
- Persona cards



Workspace
Slack
Teams
ChatGPT
Copilot
Claude
- +2 more: Codex and Claude Code

Salesforce
HubSpot
Dynamics
- +3 more: Pipedrive, Zoho and Attio
TitanX







Your agent keeps doing what it does. The 10 systems under it are already running.
Here is what that looks like, screen by screen.
Your agent works. Here is what has to run under it.
Answer the 7 about what is running today: open any question, or pick a system out of the map.
Pick any system to jump to the question it belongs to.
- Role-based permissions (edit vs run)
- Separate configure and run surfaces
- Credit governance + per-team metering
- Audit trails
1 workspace, already set up.
- Permissions per capability, set per team
- Teams, each with their own scope
- Eva builds inside each person's own permissions
- Nobody waits on 1 calendar
Agent platforms now pass context and recover failed runs. You still wire your GTM steps into 1 chain, with CRM context at every step.
Scale- Fan-out across 10k+ records
- Provider + vendor rate-limit orchestration
- Durable queues + workers
- Backpressure
- Batch cost control
- Scheduler + triggers (time, signal, event)
- Idempotency + dedup
- Run monitoring + alerting
- Recurring spend caps
Agents hand work down the chain.
- Durable queues with per-customer isolation
- Work that fans out in parallel
- Automatic back-off when a provider throttles
- Workflows that run daily, weekly or monthly
- Runs that fire within minutes of a record entering an audience
Unless someone builds and maintains a shared layer, every prompt carries its own copy of your positioning, and a change means reopening each one.
Trained once, in 1 place.
- Value proposition, verticals and personas in 1 place
- Every agent that uses your positioning reads the current version on its next run
- Nothing to reopen, nothing to paste twice
- 2-gate architecture (ICP, then persona)
- Legitimate-interest documentation
- Right-to-be-forgotten across every system
- Data terms checked per vendor
- Security review of every vendor in the build
4 documents, ready for your security review. The DPA is signed with the contract.
- ISO 27001 certificate
- SOC 2 Type 2 report
- Signed DPA with SCCs
- Sub-processor register
1 aggregator at its list price, or several vendor contracts at your own volume, plus the cascade, checks and dedup across them.
Research- Crawling at scale
- Source reliability scoring
- Entity resolution
- Dedup
- Live re-research
- Vendor contracts + APIs
- Cascade-until-verified logic
- Vendor health + failover
- E.164 normalization + dedup
- Per-lookup cost tracking
Finding, verification and phone run as 1 waterfall.
- When one provider returns nothing, the next is tried
- €0.04 a verified email
- €0.22 a phone
- Failed lookups are free
A two-way HubSpot sync you maintain through every API change.
- Per-CRM data model
- Field mapping
- Conflict resolution mid-run
- Write-back that respects rep edits
- Rate limits + dedup vs existing records
- 1 integration per CRM you use
1 sign-in to connect, then a 4-step setup for 2-way sync.
- No API keys, and no fields to create by hand
- Each agent shows up as a CRM field on its own
- Structured inputs, not a chat box
- Auto-injected context (ICP, persona, account)
- Hidden prompt templates
- Input guardrails and validation
- Hallucination fallbacks
- Prompt versioning
- Eval harness (golden sets, regression)
- A/B and shadow runs
- Multi-provider abstraction
- Per-task routing for expertise
- Price-aware routing for cost
- Continuous re-evaluation as models ship
- Token-to-credit accounting
Every agent has its model pinned.
- Most pins are a written record of a benchmark run on real records
- The Effort level is yours, set on the agent itself
- The model underneath changes, your price does not
- Credits meter the effort you asked for, not the model we ran
Then keep building. Describe a workflow to Eva, confirm it, and it is saved. A rep launches the whole thing from the record. The 12th agent costs what the first one costs.
See it for your own team. Audit the scope live.
Walk through what has to run under the surface for your stack, 1 layer at a time, spec the systems your team would own, then get your own verdict: build the plumbing yourself, or build on it.
Open any card to see what a RevOps or GTM engineer would actually ship under it, then mark the ones your team would own. The scope adds up as you go.
Your value proposition, ICP verticals and personas. The one part that stays yours.
Stays yours Your value proposition, ICP verticals and personas are defined here. Everything else, Evergrowth runs.
Your 3 inputs train the agents.
Can your agents hand work to each other, or is each one a separate manual step?
12 agents · 0 runs / month
If you own it Agent platforms now pass context and recover failed runs. Owning this still means wiring your GTM steps into 1 chain, with CRM context at every step.
Set your motion and team size up top, and each agent's monthly runs follow from it. Nudge any agent, or switch off the ones you would not use.
Can you research thousands of accounts at once, overnight, instead of 1 chat at a time?
5 to buildIf you own it Batch APIs now come with the platforms. Owning this still means running every record for a team of 5 reps in parallel, inside each CRM and data vendor's rate limits.
Chat agents now work in the background, but not across thousands of CRM records with a verified contact waterfall. This has to run hundreds of agents at once, headless, across your whole team.
- Fan-out across 10k+ records
- Provider + vendor rate-limit orchestration
- Durable queues + workers
- Backpressure
- Batch cost control
Can the work run on a schedule and on triggers, without someone kicking it off?
5 to buildIf you own it Agent platforms now include basic schedules and spend caps. Owning this still means triggers on CRM audiences, dedup against existing records, and 1 budget across every model and data vendor.
- Scheduler + triggers (time, signal, event)
- Durable job queue
- Idempotency + dedup
- Run monitoring + alerting
- Recurring spend caps
Will your reps trust the output enough to act on it without re-checking, whoever wrote the prompt?
9 to buildIf you own it Guardrails, structured inputs, evals and fallbacks, so quality lives in the system. Platforms now ship eval tools; your team still writes the GTM test sets.
Reps type "find me contacts at Acme," not a structured brief, so you are only as good as your weakest prompter on their busiest day.
- Structured inputs, not a chat box
- Auto-injected context (ICP, persona, account)
- Hidden prompt templates
- Input guardrails and validation
- Hallucination fallbacks
- Prompt versioning
- Eval harness (golden sets, regression)
- A/B and shadow runs
- Observability
Is the research accurate and current, or stale the week after you pull it?
5 to buildIf you own it Web search now comes with the platforms. Owning this still means source scoring, entity resolution, dedup and re-research, so context does not rot.
- Crawling at scale
- Source reliability scoring
- Entity resolution
- Dedup
- Live re-research
Can you get verified emails and phones at a price you can sustain at your volume?
5 to buildIf you own it Owning this means 1 aggregator at its list price, or several vendor contracts at your own low volume, then cascading and de-duping across them.
Evergrowth buys data for every customer at once, so the price per find carries all of that volume. On Evergrowth: €0.04 a verified email, €0.22 a phone, and failed lookups are free.
- Vendor contracts + APIs
- Cascade-until-verified logic
- Vendor health + failover
- E.164 normalization + dedup
- Per-lookup cost tracking
Will it write into HubSpot without overwriting what your reps already changed?
6 to buildIf you own it Owning this means a two-way HubSpot sync you maintain through every rep edit and every API change.
- Per-CRM data model
- Field mapping
- Conflict resolution mid-run
- Write-back that respects rep edits
- Rate limits + dedup vs existing records
- 1 integration per CRM you use
Are you always on the best model for the job at the best price, as new ones ship every month?
6 to buildIf you own it Routers can now pick a cheaper model per prompt. Owning this still means testing each new model on your own records before you switch.
- Multi-provider abstraction
- Per-task routing for expertise
- Price-aware routing for cost
- Continuous re-evaluation as models ship
- Swap without breaking prompts
- Token-to-credit accounting
Can RevOps configure it once and have every rep inherit it, with permissions and an audit trail?
4 to buildIf you own it Each platform ships roles and logs for its own agents. Owning this means 1 rule set and per-team metering across the model, the CRM and every data vendor.
- Role-based permissions (edit vs run)
- Separate configure and run surfaces
- Credit governance + per-team metering
- Audit trails
Can you prove legitimate interest and honor deletion across every system, for EU buyers?
5 to buildIf you own it Owning this means GDPR documentation, right-to-be-forgotten propagated everywhere, and a security review of every vendor in the build.
- 2-gate architecture (ICP, then persona)
- Legitimate-interest documentation
- Right-to-be-forgotten across every system
- Data terms checked per vendor
- Security review of every vendor in the build
This is the one part that stays yours.
Stays yours Your value proposition, ICP verticals and personas are defined here. Everything else, Evergrowth runs.
Your 3 inputs train the agents.
Can your agents hand work to each other, or is each one a separate manual step?
12 agents · 0 runs / month
If you own it Agent platforms now pass context and recover failed runs. Owning this still means wiring your GTM steps into 1 chain, with CRM context at every step.
Set your motion and team size up top, and each agent's monthly runs follow from it. Nudge any agent, or switch off the ones you would not use.
Can you research thousands of accounts at once, overnight, instead of 1 chat at a time?
If you own it Batch APIs now come with the platforms. Owning this still means running every record for a team of 5 reps in parallel, inside each CRM and data vendor's rate limits.
Chat agents now work in the background, but not across thousands of CRM records with a verified contact waterfall. This has to run hundreds of agents at once, headless, across your whole team.
- Fan-out across 10k+ records
- Provider + vendor rate-limit orchestration
- Durable queues + workers
- Backpressure
- Batch cost control
Can the work run on a schedule and on triggers, without someone kicking it off?
If you own it Agent platforms now include basic schedules and spend caps. Owning this still means triggers on CRM audiences, dedup against existing records, and 1 budget across every model and data vendor.
- Scheduler + triggers (time, signal, event)
- Durable job queue
- Idempotency + dedup
- Run monitoring + alerting
- Recurring spend caps
Will your reps trust the output enough to act on it without re-checking, whoever wrote the prompt?
If you own it Guardrails, structured inputs, evals and fallbacks, so quality lives in the system. Platforms now ship eval tools; your team still writes the GTM test sets.
Reps type "find me contacts at Acme," not a structured brief, so you are only as good as your weakest prompter on their busiest day.
- Structured inputs, not a chat box
- Auto-injected context (ICP, persona, account)
- Hidden prompt templates
- Input guardrails and validation
- Hallucination fallbacks
- Prompt versioning
- Eval harness (golden sets, regression)
- A/B and shadow runs
- Observability
Is the research accurate and current, or stale the week after you pull it?
If you own it Web search now comes with the platforms. Owning this still means source scoring, entity resolution, dedup and re-research, so context does not rot.
- Crawling at scale
- Source reliability scoring
- Entity resolution
- Dedup
- Live re-research
Can you get verified emails and phones at a price you can sustain at your volume?
If you own it Owning this means 1 aggregator at its list price, or several vendor contracts at your own low volume, then cascading and de-duping across them.
Evergrowth buys data for every customer at once, so the price per find carries all of that volume. On Evergrowth: €0.04 a verified email, €0.22 a phone, and failed lookups are free.
- Vendor contracts + APIs
- Cascade-until-verified logic
- Vendor health + failover
- E.164 normalization + dedup
- Per-lookup cost tracking
Will it write into HubSpot without overwriting what your reps already changed?
If you own it Owning this means a two-way HubSpot sync you maintain through every rep edit and every API change.
- Per-CRM data model
- Field mapping
- Conflict resolution mid-run
- Write-back that respects rep edits
- Rate limits + dedup vs existing records
- 1 integration per CRM you use
Are you always on the best model for the job at the best price, as new ones ship every month?
If you own it Routers can now pick a cheaper model per prompt. Owning this still means testing each new model on your own records before you switch.
- Multi-provider abstraction
- Per-task routing for expertise
- Price-aware routing for cost
- Continuous re-evaluation as models ship
- Swap without breaking prompts
- Token-to-credit accounting
Can RevOps configure it once and have every rep inherit it, with permissions and an audit trail?
If you own it Each platform ships roles and logs for its own agents. Owning this means 1 rule set and per-team metering across the model, the CRM and every data vendor.
- Role-based permissions (edit vs run)
- Separate configure and run surfaces
- Credit governance + per-team metering
- Audit trails
Can you prove legitimate interest and honor deletion across every system, for EU buyers?
If you own it Owning this means GDPR documentation, right-to-be-forgotten propagated everywhere, and a security review of every vendor in the build.
- 2-gate architecture (ICP, then persona)
- Legitimate-interest documentation
- Right-to-be-forgotten across every system
- Data terms checked per vendor
- Security review of every vendor in the build
10 systems have to run before a whole team can rely on it. Evergrowth runs all of them.You just scoped 0 systems to build and own. Evergrowth is all of them.
Every system above is already built, shipped, and maintained on Evergrowth. You keep the part that is actually yours, and you keep building it: your GTM logic in the Agent Training Center, and the workflows, plays and playbooks you create with Eva and the 12 agents. We run the plumbing underneath, so your team never maintains any of it. Keep building in-house. Stop building the plumbing.
You could build all 10. Or build on them today.
You focus on building. We do the maintaining.





