Transitioning from Hourly to Outcome-Based Selling Two AI agencies in the same city were competing for a manufacturing client's predictive maintenance project. Agency A proposed 2,...
Selling AI Services to Private Equity Portfolio Companies Last November, a three-person AI agency in Chicago closed a $1.2 million annual deal with a mid-market private equity firm...
Selling AI Services During Economic Downturns A three-person AI agency in Phoenix watched their pipeline evaporate during the economic slowdown of early 2025. Three deals totaling ...
Upgrading Project Clients to Retainer Contracts A five-person AI agency in Atlanta had a revenue problem hiding behind impressive numbers. They closed $1.6 million in project reven...
Selling AI to Law Firms and Legal Departments A three-person AI agency in Chicago signed a $190,000 engagement with an Am Law 200 firm that had 280 attorneys across four offices. T...
How to Sell AI Services to Family Offices and High-Net-Worth Investors A colleague of mine who runs a seven-person AI agency in Miami landed a $480,000 annual retainer with a singl...
Building Your Sales Enablement Tech Stack A four-person AI agency in Austin was running sales out of a shared Google Sheets spreadsheet, the founder's personal email, and a pile of...
Selling AI Compliance and Governance Tools A four-person AI agency in Washington, D.C., pivoted to AI compliance after the EU AI Act came into force and their existing enterprise c...
Your client champion is the person inside the client organization who fights for your agency. Lose them and you lose the account. Here is how to cultivate, support, and protect these critical relationships.
When sales blames marketing for bad leads and marketing blames sales for not following up, pipeline suffers. Alignment between these functions is not a nice-to-have, it is the single biggest lever for predictable revenue growth.
AI procurement without governance leads to shadow AI, wasted budgets, and compliance violations. Here is how to build a procurement governance framework that ensures every AI purchase is justified, vetted, and aligned with organizational strategy.
Managing Cloud Costs for AI Workloads: The Agency Financial Playbook A growing AI agency in Denver learned an expensive lesson. They had deployed a computer vision system for a log...
Reinforcement learning from human feedback (RLHF) is the training method behind most of the large language models professionals use every day. It's why ChatGPT sounds helpful rather than robotic, why
Responsible AI is no longer optional. Regulations are tightening, clients are asking, and the agencies with governance certifications are winning the deals that matter most.
Your agency hit a million in revenue and nobody noticed. A major project launched flawlessly and no one celebrated. Here is why milestone celebrations matter more than you think and how to do them well.
Selling AI to Mid-Market Companies ($50M-$500M) A four-person AI agency in Charlotte closed $1.1 million in AI contracts in a single year by exclusively targeting mid-market compan...
A client advisory board gives you direct access to buyer thinking, product feedback, and relationship depth that no survey or sales conversation can match.
AI agencies deliver complex work but often have simple billing processes that leave money on the table. Here is how to build billing and collections operations that keep cash flowing reliably.
When AI makes decisions affecting people, they increasingly have the legal right to an explanation. Here is how to build AI systems that can explain themselves clearly and compliantly.
Every organization has a different tolerance for AI risk, but most have never articulated it. Here is how to help clients define an AI risk appetite framework that turns vague discomfort into clear, actionable boundaries.
Turning First Projects into Second and Third Deals An AI agency in Charlotte delivered a $160,000 customer churn prediction project for a mid-market SaaS company. The project was a...
Making Black-Box Models Explainable for Clients: The Agency Guide to Model Interpretability A healthcare AI agency in Philadelphia delivered a readmission risk model to a hospital ...
A healthcare AI agency discovered their model API was leaking training data through carefully crafted queries. Here is the complete security hardening playbook for production ML systems.
Selling AI System Migration and Modernization A financial services company in Chicago spent $1.8 million building an AI-powered fraud detection system in 2022. Three years later, t...
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