We Started AGL Because Operations Were Killing Great Businesses
Our team kept watching companies with incredible products fail, not because the product was bad, but because the operations were a mess. So the AGL team built the fix.
The numbers buyers actually price.
Numbers are from the AGL leadership team across prior operator roles. The team is Expert-Vetted, top 1% on Upwork.
From 300 acquisitions to one operating system.
The AGL team came out of telecom and software M&A. Part of the team that closed the $41B Cingular and AT&T Wireless merger. Operated a 70-company software rollup. Watched what acquirers paid premiums for, and what they cut at term sheet.
The same revenue leaks kept surfacing in every diligence. Manual GTM motion, broken attribution, founder-dependent pipeline, retention nobody owned. The fix was always the same operator playbook, but no founder could afford a 25-person team to run it.
So our team built it as a six-part operator system, ran it inside the team's own portfolio, then started installing it for outside founders. Recent client work hit 7.9% reply rates on cold HNW Accredited lists. Another client went from $0 to $1.2M in pipeline in 4 months. Same playbook, one senior operator at the wheel.
See how the operator playbook runs inside your business.
The System →The AGL leadership team
The AGL leadership team is a group of PE-backed operators turned growth architects. The team was part of the operator group behind the $41B Cingular and AT&T Wireless merger, then spent the next chapter inside software, building AI-powered lead systems that generated more than 1M qualified leads for B2B SaaS companies between $5M and $250M in annual revenue.
Across hundreds of growth engagements our team kept seeing the same picture: brilliant founders, real products, and operations that were quietly hemorrhaging money. The software was not fixing it. The consultants were not fixing it. So the founders built Agile Growth Labs to fix it.
The same revenue leaks kept surfacing in every account: manual GTM, broken attribution, founder-dependent pipeline, retention nobody owned. The fix was always the same operator playbook. But no $10M founder could afford the 25-person team to run it.
So our team trained AI systems with that playbook. Same decisions. Same operator logic. One senior operator overseeing the system instead of a department running it. Installed in 14 days, measured weekly, tuned until it compounds. That is not AI for the sake of AI. That is how operators work.
Questions founders ask before they start.
Who is this for?
B2B SaaS founders with $1M to $50M yearly revenue who are preparing for a private equity exit in the next 12 to 36 months and want an AI-native GTM system that does not require a 25-person team.
What is the AI Revenue Snapshot?
A $47 audit that maps the top 5 revenue leaks in your business within 24 hours. Each leak is ranked by dollar value and matched with the specific operator fix that closes it.
How long does the full installation take?
90 days. Week one is the agent stack install. Weeks two through eight are sequence tuning and qualification calibration. Weeks nine through twelve are attribution and retention layers.
What track record does the team have?
Operator-level: $43B in M&A (mergers and acquisitions) engineered across 300+ acquisitions closed by the AGL leadership team across prior operator roles. Recent client outcomes include a 7.9% reply rate on HNW Accredited cold lists and a B2B SaaS pipeline rebuilt from $0 to $1.2M qualified in 4 months.
Do you take equity in client companies?
Our team charges a fee for the install and an optional retainer. Equity arrangements are case-by-case for the right pre-acquisition operator partnerships.
What if my company is not ready for acquisition yet?
Start with the $47 Snapshot. It gives you the ranked leak map. You can decide whether to install the agents now, train your team to install them later, or DIY using the playbook.
Where can I get the weekly newsletter?
At /newsletter. It is the Tuesday brief on M&A volume, weekly operator playbooks, monthly deal teardowns, and the AGL research archive.