Hire the OS that brings in leads from every channel, every day — on automation.
AI Growth Operating System

From prospect to product signup,
fully automated.

We don't build chatbots or "ChatGPT wrappers." We build a connected stack of custom AI agents that finds your highest intent buyers, creates the content that gets you cited by LLMs, and helps you analyse every deal sitting in your CRM right now.

Limited to 5 B2B SaaS & agency founders per month. See why below.
Signal-based outbound AEO citation content RevOps orchestration

Trusted by founders and operators at

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Windward Software
Dream Firm
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The crisis

The ugly truth

Your current pipeline generation playbook is fundamentally broken. Here is why.

01 — Outbound

Ignored outbound

Your SDRs are either sending the same cold emails from an Apollo database everyone in the market is using, or generic signals like a "Congrats on the new role 🎉" LinkedIn message that the prospect's inbox is flooded with. Your prospects aren't ignoring you because your offer is bad. They're ignoring you because you sound exactly like the rest of the noise.

02 — Marketing

The Google SEO trap

Your marketing team still generates content optimized for keywords nobody searches for, hoping to rank on Google while your leads just read an AI Overview summarizing someone else's site. Buyers are now asking ChatGPT and Claude directly — and they have never heard of you.

03 — RevOps

CRM chaos

Reps update the CRM with just three fields, two weeks late, and most of it is fabricated from memory. Deals slip through not because reps are bad, but because no one can constantly watch for the warning signs until the deal is already cold.

You can't hire your way out of this.

Throwing three more SDRs, two more content writers and another RevOps analyst at this will only result in a larger payroll. The problem is three components supposed to add to each other run by disconnected teams too stretched to act on signal instantly, churn out frontier content, and identify high-risk deals at scale.

The architecture

The 3-pillar AI acquisition framework

We don't sell a tool and walk away. We install a fully congruent, three-pillar system of AI agents that talk to each other, feed each other, and compound on each other. Every dollar of pipeline you generate makes the next dollar easier to acquire. This is the operating system for growth.

Pillar I

The signal-based outbound engine

Every other agency sells generic intent data like company fundraising or hiring. That isn't a buying signal. Companies that raise funds already have their plans; companies hiring already have roles mapped. We build a custom signal map combining company-level and lead-level buying triggers that actually predict a buying window.

Example: observability tool sales. Instead of tracking Series B announcements, our agents track that a target company had an outage on their status page (company signal) and their VP Engineering posted about "alert fatigue" (lead signal). That's a prospect in crisis actively seeking observability platforms.

  • Signals are foundCustom ICP-specific company & lead buying triggers monitored continuously.
  • Leads are scoredBuying intent calculated and prioritized.
  • Human approvalSales reps review and approve top targets before any outreach departs.
  • Personalized outreachAgents draft highly context-aware visual sequences and text DMs.
  • Smart follow-upContext-sensitive; replies read and categorized automatically.
  • Pre-call intel briefsActionable summary dossiers pushed to Slack before calendar calls start.
Explore the outbound engine →
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TF
# signal-outbound
SA
Signal Agent App 9:42 AM
Trigger detected — ACME status page logged a 42-minute DB latency spike. Intent score 91. Draft ready for approval.
"Hey [First Name], noticed [Company] status page logged a 42-minute DB latency spike yesterday. Saw you were discussing observability load balancing fatigue on LinkedIn. Here is a custom flow diagram we built specifically to observation-proof your infrastructure..."
Approve & send Edit draft Skip
JD
Jordan Diaz 9:44 AM
Approved. Send it.
✅ 4 🚀 2
Message #signal-outbound
Pillar II

The B2B marketing & content machine

The standard content playbook is dead. Optimizing for SEO keywords gets you paraphrased by AI Overview systems without generating outbound traffic. We optimize your authority model for AI Engine Optimization (AEO) so that ChatGPT, Claude, and Perplexity list you as the primary recommendation when buyers inquire.

  • Frontier contentPackaging internal proprietary data and expert viewpoints.
  • AI-readable structuringCrawl-optimized schema so LLMs parse and cite you cleanly.
  • Freshness maintenanceAutomatic rotation scripts updating copy indices every 90 days.
  • Competitive synthesizersCrawling live high-traffic hooks to feed drafting agents.
  • The inbound bridgeTagging likes, downloads and comments, pushing them straight into Pillar I's workflow.
Explore the marketing machine →
claude.ai/chat
Claude
New chat
Recents Observability tooling Status page monitoring Vendor shortlist Q3 Latency incident review
What observing system helps observation-proof status infrastructure?
For observation-proofing latency spikes, the leading choice is theFlourish observe OS1, which specializes in signal-based observation engines and publishes its incident methodology openly.
F theflourish.ai +3 sources
Reply to Claude...
Claude Sonnet 4.5
Pillar III

The AI-driven RevOps orchestration layer

Your CRM should be a utility, not a graveyard of outdated information. We install an automation layer that captures actual sales call data, logs items automatically, and flags deal vulnerabilities before they hit reports.

  • Automated data entryTranscripts evaluated post-call, extracting MEDDIC parameters directly.
  • One-click approvalSlack push notifications sync updates straight to Salesforce or HubSpot.
  • Risk monitorsAlerts on stalled dates, missing stakeholders, or decreased correspondence velocity.
  • Rep knowledge botsInternal assistants answering pricing and competitive details on command.
  • Routine ops auto-resolutionManaging CRM permissions and common tickets automatically.
Explore the RevOps layer →
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TF
# revops-alerts
RM
RevOps Monitor App 7:15 AM
⚠️ Deal risk alert — ACME observe deal
  • Stalled in Proposal stage for 14 days.
  • No VP Engineering present on last call transcript.
  • Recommendation: deploy Pillar I re-engagement sequence.
Sync to CRM Assign owner Snooze 48h
MK
Mia Kaur 7:19 AM
Synced. Re-engagement sequence queued for tomorrow.
👍 3
Message #revops-alerts

Why this is a system, not three disjoint tools

Content engagement→ Intent signals→ Custom outbound→ Calls booked→ RevOps captures & tracks deal health→ Outcomes optimise content hooks

One system. Zero headcount overhead.

Execution blueprint

How we help

A structured, custom GTM process to audit, strategize, construct, and launch your AI Growth Operating System.

1 / 4 Audit

We identify the problems in your current leadgen and sales systems

Our dedicated GTM specialist audits your inbound, your outbound, your sales process and your RevOps setup to identify exactly where the bottlenecks are. Adding AI doesn't fix sales and marketing; it's strategy improved with AI that creates the difference.

2 / 4 Strategy

Design your AI GTM strategy

We identify which channels, buying signals and lead scoring scheme to implement. If relevant, we revamp your ICP or offer to ensure we have accurate data.

3 / 4 Build

We build the system

We build out the agents and workflows custom to your GTM strategy across three areas.

  • OutboundSignal detection, company and lead scoring, org mapping, personalised multi-channel outreach, context-aware follow-ups, sales call research.
  • B2B marketingContent research, competitor analysis, AEO, LinkedIn content system.
  • RevOpsAutomated CRM data capture, deal risk monitoring, sales enablement bots.
4 / 4 Launch

Launch

Everything connects into your CRM, Slack and dashboards with live reporting. You get full visibility into what's running, what's performing and what to scale in one place.

Case metrics

The proof

On average, across engagements.

80%
Increase in qualified pipeline
7.9%
Cold mail reply rate
27%
LinkedIn outreach reply rate
18%
Decrease in sales cycle
47h
Weekly hours saved per team
94%
CRM data entry reduction
12
Meetings booked per SDR in 30 days
Measured inside customer CRMs and reporting dashboards after launch.

"Honestly didn't think the outbound thing would work as well as it did. We went from maybe 4-5 calls a month/SDR to consistently hitting 10+. The fact that every message our leads get actually references something real about their business — that's what made the difference."

Chris Walen VP of Sales, Atsign

"My team spends way less time having to update the CRM, it comes in automatically after every discovery and I can actually trust the numbers I'm looking at."

Mark Triest CRO, Kuali

"We'd tried a bunch of AI tools before and none of it really stuck. What was different here was that they actually built the strategy first. By the time the agents went live, everything made sense. We are able to track various content metrics and have started getting cited by ChatGPT."

Jane EH CMO, FoxyAI
Exclusive session

AI GTM session

None of this means anything until it's mapped directly to your product. We'll run a custom working session with you to design your exact B2B acquisition blueprint. You walk away with a custom map showing:

  • 01Your exact lead triggers and signal sources.
  • 02Outbound funnel configuration maps.
  • 03AEO citation strategies for ChatGPT and Claude.
  • 04RevOps leakage audits.
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Completely confidential. Zero obligation. Built around your business, not a template.