Hired an agency.
Generic sequences, a junior account manager learning your ICP on your dime, no visibility into what's actually running. You paid for six months and got a Slack channel.
A managed system that learns your business, then puts meetings with companies your reps aren't working yet onto their calendars. Built for B2B sales leaders who've already been through an agency and an AI SDR and need the version of outbound that still works.
Generic sequences, a junior account manager learning your ICP on your dime, no visibility into what's actually running. You paid for six months and got a Slack channel.
Thousands of emails, zero replies, copy your buyers could smell was automated from five feet away. The tool worked. Nobody was operating it.
Hired an SDR fully loaded, spent three months on ramp, and realized you needed tooling, infrastructure, and a manager the SDR didn't have.
You need net-new pipeline. You can't afford a miss to the board. And whichever option you tried, it didn't put net-new meetings on your reps' calendars.
Before any of it runs, the system has to learn your business. That's week one. Every account gets the same depth after that. Every email gets the same care. Every meeting gets the same preparation. The system runs continuously.
Before the system sends a single email, it has to understand your product the way your best AE does. Week one is intake: your positioning, your ICP in detail (not a firmographic filter — the actual buyer psychology), your best customers and why they bought, the deals you lose and why, your voice and what makes your emails sound like you, your disqualifiers, your competitors, and what a good meeting looks like versus a bad one. The output is a structured context document the other five agents read from on every run.
Sources every company in your total addressable market. Qualifies each against your ICP using your product context. Enriches with tech stack, headcount, funding stage, and leadership. Prunes existing customers, current pipeline, and do-not-contact lists.
For every qualified account, runs deep research across hiring, product, leadership, and news. Synthesizes into a structured brief with cited sources. Every fact traceable to where it came from.
Monitors your account universe daily for trigger events across six categories: hiring surges, leadership changes, funding rounds, product launches, tech stack shifts, and job postings revealing pain points. Scores each signal for relevance to your specific product.
When signals fire, writes a specific email for that specific account. References the actual research and the actual signal. Not templated, not merged, not variable-substituted.
Classifies replies, flags ones requiring judgment, books confirmed meetings directly on your rep's calendar. 24 hours before every meeting, a pre-call brief is delivered: who the prospect is, what signal triggered outreach, what the research surfaced, what to lead with.
Me. I built this system. I run it. I make every judgment call the agents escalate. You approve the ICP, the writing voice, the signal thresholds. I operate the system between your decisions. No pod, no account manager, no telephone game. You talk to the person doing the work.
A real account. Public data only.
How the universe gets built. Database filters pull the raw firmographic match — industry, headcount, geography, tech stack signals. That gives us the starting pool, typically 40,000–150,000 companies depending on the market. Each company gets enriched: leadership, recent news, hiring patterns, funding, product signals, existing vendor relationships. Then every enriched company runs against your ICP definition from the Context Agent — not a checkbox filter, a qualitative fit decision based on what you actually sell and who actually buys. Current customers, active pipeline, and DNC accounts get pruned last.
For this demonstration, we ran the motion on B2B SaaS selling GTM/CS tooling to teams of 200+. Raw pool: ~62,000 companies matching firmographics. After enrichment and ICP fit: 847 companies qualified. Below, 5 of the top-scoring accounts — Gong leads the set for reasons the Signal Agent picked up later in the week.
| Company | Industry | Headcount | Signal fit | Why qualified |
|---|---|---|---|---|
| Gong | Revenue AI / GTM Software | ~1,300–2,480 | High | New CCO promoted March 4, 2026; Revenue Architects team launched same day; hiring across 6 cities |
| Clari | Revenue Platform | ~800 | High | Post-merger integration with Salesloft (closed Dec 3, 2025); CS org being restructured |
| Outreach | Sales Engagement | ~850 | Med-High | Named 2025 Gartner RAO Leader; AI Revenue Agents launched May 2025 |
| ZoomInfo (GTM) | GTM Intelligence | ~3,500 | Medium | Rebrand to "GTM Intelligence Platform" completed; Chorus rolled up under main platform |
| Uniphore | Business AI Cloud | ~1,200 | Medium | Series F Oct 22, 2025 ($260M at $2.5B); integrating four recent acquisitions |
"AI is a work revolution, cloud was an IT revolution."
— Amit Bendov, CEO, on Sequoia's Training Data podcast, May 20, 2025
Gong crossed $300M ARR and 5,000 customers — but they're still valued 38% below their 2021 peak. A secondary tender on Nasdaq Private Market repriced them at ~$4.5B in November 2025, down from $7.25B. They're growing fast into a valuation gap, which means pressure to prove enterprise maturity before what looks like a 2026–2027 IPO. Four Fortune 10 logos help that case. A cluster of pre-IPO finance roles (Director of Deal Desk, Treasury, Technical Accounting, FP&A) confirms the timeline. (gong.io/press, nasdaq private market, greenhouse.io)
Joe FitzGerald joined as Chief Legal Officer on March 16, 2026 — previously CLO at Lacework through the Fortinet acquisition, and 8 years at Pure Storage spanning its IPO. That's an IPO-track hire. (gong.io/press)
They acquired RightBound (AI outbound prospecting) on December 2, 2025 and opened offices in Atlanta (March 2026), NYC (August 2025), and scaled Dublin from 125 to 200+ (July 2025). The footprint is expanding fast. (techcrunch.com, venturebeat.com)
On March 4, Simon Frey was promoted to Chief Customer Officer — a brand new role. Same day, Gong unified its entire post-sale organization under a "Customer Office" and rebranded CSMs as "Revenue Architects." Shane Evans, previously CRO, was retitled Chief Revenue Architect. His public framing of the change:
"The CRA is the new CRO."
— Shane Evans, Chief Revenue Architect, Gong
This isn't cosmetic. They're betting that the CS function should own revenue expansion, not just retention. The Revenue Architects hiring wave is live across Austin, Chicago, NYC, Salt Lake City, SF, and Dublin — at least 9 open roles under the new team structure. (gong.io/blog, linkedin.com, greenhouse.io)
Mission Andromeda launched February 25, 2026 — first in a new quarterly product cadence. Introduced Gong Enable, a head-on competitor to the just-merged Highspot + Seismic. The Gong Collective partner ecosystem surpassed 300 partners by November 2025. Tel Aviv R&D is scaling toward ~500 engineers. ~103 total open roles on Greenhouse. (venturebeat.com, gong.io/press, greenhouse.io)
The client sells a customer success platform targeting enterprise GTM teams. Simon Frey is 30 days into a brand new CCO seat with a rebuilt org, an unreleased operating model, and a visible hiring wave. New CCOs re-scope tooling in months 3–6 of their tenure. The 90-day window closes early June 2026 — this is the textbook buying moment, and it's time-bounded.
Three independent signals converged in 7 days:
Saw the March 4 announcement about the Customer Office and the Revenue Architect rebrand. The piece Shane Evans wrote ("The CRA is the new CRO") was the clearest statement of operating-model change I've seen from a Revenue AI company this year. Not a cosmetic rename — you're hiring Revenue Architects across six cities.
The harder part is usually three months later — when a newly structured CS org has to prove ROI on an operating model the rest of the industry doesn't have vocabulary for yet. The health-score frameworks, onboarding playbooks, and QBR structures you had under the old CSM model don't cleanly map. Most CCOs in your exact spot default to rebuilding in Excel while the team scales.
[Client company] has worked with two other Revenue AI companies through similar CS-org transitions. Happy to share what the first 90 days of tooling decisions looked like for them — specifically what they kept, what they ripped out, and which KPIs broke when the role rebranded.
Worth 20 minutes before the June mark?
Your rep walks into the call knowing more about the prospect than most reps know after two calls.
This happens continuously across your account universe. Every week.
Everything the system produces lives with your team. If we stop working together, you keep it all.
Every qualified account in your market, researched, with cited sources.
Every trigger event across your universe, categorized and timestamped.
Deep context on every account the system touches.
Written per account and decision makers within the account, sent continuously.
With pre-call briefs 24 hours before every one.
A short Friday note. What ran, what's working, what's being adjusted.
Most vendors ask for 90 days before you can judge the work. That's not a commitment, it's a stall. If the first qualified meeting doesn't land on your reps' calendar within 14 days of launch, month one refunds in full and the three-month commitment is voided. You walk, you keep everything the system produced.
Qualified = a prospect at an ICP-fit account who agreed to a meeting, attended, and isn't a current customer or on your do-not-contact list.
The orchestration, qualification logic, research pipeline, writing engine, signal monitoring, and brief generator are built from scratch, not assembled from other people's tools. Data providers are used where they beat building from scratch. Everything else is built in-house, not wrapped around someone else's API.
You're buying operated depth from the person who built the depth.
A 30-minute call. Walkthrough of the system, real outputs from live engagements, answers to whatever's on your mind.