By sales motion

A 200-day deal can die in a day.
Agents keep watch so you never miss it.

Enterprise reps don't lose deals because they stopped caring. They lose them because a champion left, a priority shifted, or a competitor moved in and nobody caught it in time.

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The problem

Long cycles, multiple stakeholders,
and everything changes constantly.

Research goes stale between touchpoints

A 240-day deal has 30+ conversations. Between each one, things change at the account. New hires, leadership moves, strategic pivots, budget freezes. Reps who don't know what changed walk into calls underprepared and lose credibility at the worst possible moment.

Champions leave and nobody catches it

Your champion understood your value, advocated internally, and had the relationships to push the deal through. When they leave, the deal doesn't automatically die, but it will if nobody rebuilds the relationship at the new company and replaces the champion internally. Most teams find out too late.

The buying committee is bigger than you think

Enterprise deals rarely close with one decision maker. Economic buyer, technical evaluator, champion, legal, procurement, each with different concerns and different timelines. Reps running manual research can track two or three at best. The rest are blind spots.

Generic AI tools don't know your context

Most reps reach for ChatGPT or Claude to prep before a call. But a general-purpose AI only knows what you paste into it. No ICP, no signal history, no awareness of what changed at the account last week. It produces plausible-sounding prep, not accurate prep.

The shift

From reactive account management to continuous intelligence.

Before Evergrowth

Manual tracking, stale context, blind spots

Research done at deal open, never updated, reps walk into calls with a 3-month-old picture
Champions leave and deals go dark before anyone realises what happened
Account plans built once, never refreshed, useless by month three
Buying committee mapped by LinkedIn search and guesswork, key stakeholders missed
Reps spend 4-5 hours per account on manual research, at 10 active accounts, the math doesn't work
With Evergrowth

Continuous research, living plans, full committee visibility

Scheduled Research agents resurface fresh intelligence before every touchpoint, on a cadence reps set
Champion Monitoring flags job changes the moment they happen, before the deal goes dark
Account Planning generates a custom strategy from research output, updated as the deal evolves
Contact Finder maps the full buying committee using persona cards, not job titles, no blind spots
Reps walk into every call briefed, with a current account plan and a complete stakeholder map
How it works

Three ways agents work differently
in a long-cycle, multi-stakeholder deal.

The workspace adapts to the pace and complexity of enterprise sales. Agents run continuously in the background so reps can focus on the relationships that actually move deals forward.

Account Research agent
01

Scheduled Research

Always walk into a conversation briefed.

RevOps defines which signals matter for each account: executive moves, new strategic initiatives, hiring patterns, funding activity, product announcements, M&A. The research cadence is set per account tier: weekly for active deals, monthly for pipeline, quarterly for strategic accounts.

Agents run on schedule and surface what changed. Reps get a fresh intelligence brief before every touchpoint without spending hours doing the research themselves.

What reps get: a fresh account brief on a schedule they set, delivered before they need it, not after they ask for it.

Scheduled Research playbook Account Research agent
Account Planning agent
02

Account Planning

From research to strategy, without 3 hours of prep.

Account planning in enterprise isn't optional. But most reps either skip it because it takes too long, or do it once at deal open and never update it. Neither works.

The Account Planning agent takes the research output and generates a custom account plan: strategic context, key business initiatives, stakeholder landscape, internal dynamics, value prop angles calibrated to what was found. Reps use it to think about the deal, not to compile information.

What reps get: a living account plan that updates as the research updates. Strategy-ready, not just data-ready.

Account Planning agent
Contact Finder agent
03

Buying committee mapping

Know who's in the room before you're in the room.

Enterprise deals don't close with one conversation. Contact Finder maps the full buying committee using persona cards, not job titles, so reps understand who the decision makers are, who the influencers are, and who the blockers are before the first call.

RevOps builds persona cards that define each buying committee role: economic buyer, technical evaluator, champion, legal, procurement. Contact Finder identifies the right people at each account matching those personas, finds verified contact details including people not surfaced by standard data vendors, and flags gaps in coverage.

What reps get: a complete stakeholder map for every active account, with contact details verified and coverage gaps identified.

Contact Finder agent How RevOps configures persona cards
The team

RevOps designs the system. Agents run it. Reps focus on the deal.

Three roles, each doing what they're built for. No manual triggers, no missed signals, no last-minute scramble before a call.

RevOps avatar
RevOps

Designs the intelligence system

Builds the signal library for each account tier, creates the persona cards that define the buying committee, configures research cadence and account plan templates, and sets champion monitoring across the portfolio. The system reflects what the team knows about how enterprise deals actually work.

RevOps in Evergrowth
Agents

Run continuously in the background

Monitor every active account for signal changes. Resurface fresh research on schedule. Update account plans as new information comes in. Flag when a champion moves. No manual triggers. No tickets. No waiting for someone to remember to check before a major call.

Meet your GTM Squad
Sales Reps avatar
Sales Reps

Focus on relationships and deal strategy

Walk into every conversation with a current briefing, a strategic account plan, and a complete stakeholder map. Time goes to the relationships and the deal, not to researching what changed since the last call or building a contact list from scratch.

Sales Reps in Evergrowth
35+
Custom signals tracked per target account
240
Day average sales cycle across the portfolio
4-5h
Of manual research per account eliminated
5-6
Separate research tools replaced by one workflow
In practice

ARIS embedded Evergrowth into its global GTM enablement strategy.

ARIS sells complex software to large enterprises. Their average deal takes 240 days. Sven Roeleven, SVP Solution Management, embedded Evergrowth into ARIS's global GTM enablement strategy, giving sales teams a hands-on way to work with real agentic AI. Reps now run their own agentic workflows across target accounts, with research and account-planning surfacing buying signals continuously.

"Once we uploaded our value proposition, ICPs, and personas, Evergrowth could begin finding the right contacts and surfacing buying signals for account-planning."

Sven Roeleven Sven Roeleven, SVP Solution Management, ARIS
Read the full ARIS story
Related playbooks

The playbooks built for complex, long-cycle deals.

Champion Monitoring

Agents track every key contact in your pipeline. When a champion moves, you know before the deal goes dark.

Explore

Scheduled Research

Keep every active account researched on a cadence you set. Agents surface what changed so reps always walk in briefed.

Explore

Signal-based Outreach

Agents monitor target accounts continuously and trigger outreach automatically when a buying signal fires.

Explore

Account Planning

From research output to a custom account plan. Strategic context, stakeholder map, talking points, generated from what agents actually found.

Explore
Go deeper

Same models. Completely different job.

Evergrowth runs on the same LLMs as ChatGPT and Claude. The difference isn't the model, it's what wraps around it. Your ICP, your signal library, your persona cards, your CRM history. Agents that run on a schedule across every active account, not a chat window that waits to be asked.

See how the workspace differs from chat AI
What you prompt into ChatGPT before a call
"Research Acme Corp for my call
next week. They're a 500-person
enterprise software company.
My contact is Sarah Chen, VP IT.
Write me talking points."
What Evergrowth's agent already has
Account: Acme Corp — score 87%
Last researched: 3 days ago (scheduled)
Signal: New CTO appointed 2 weeks ago
Signal: Digital transformation push, Q3
Champion: Sarah Chen, active
Committee: 4 of 6 personas mapped
Account plan: updated last week

Your deals are too important to run on stale research.

Agents monitor every account, build the plan, and map the buying committee. Reps focus on the relationships that close the deal.

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