A practical guide to writing AI agent case studies that actually help buyers buy: workflow context, baseline pain, control design, metrics, human handoff, and why most AI case studies fail to build trust.
Posts for: #Sales
AI Agent Proof Assets: What to Publish Before Buyers Trust You
A practical guide to the proof assets behind an AI agent business: what to publish before buyers trust you, how to make expertise legible, and how to turn insight into credibility without relying on hype.
AI Agent Case Study: How to Show Proof Without Leaking Client Details
A practical guide to writing AI agent case studies that create trust, pipeline, and proof without exposing client-sensitive details or turning the story into vague marketing sludge.
AI Agent Procurement Packet: What the Buyer Needs to Get the Deal Through Security, IT, and Finance
A practical guide to the procurement packet behind an AI agent project: what the buyer needs to document before the deal gets stuck in security review, IT questions, ownership confusion, or budget limbo.
AI Agent Business Case: How to Justify the Project Before You Ask for Budget
A practical guide to building the business case for an AI agent project: how to frame the workflow problem, estimate value honestly, account for exception costs, and justify budget without fake autonomy math.
AI Agent Internal Champion: How to Sell the Project Inside the Company Before It Dies in Procurement
A practical guide to the internal champion behind an AI agent project: who should own the pitch, what evidence they need, why deals stall in the middle, and how to package the project so it survives budget, procurement, and operational skepticism.
AI Agent Discovery Questions: What to Ask Before You Quote the Build
A practical guide to the discovery questions that matter before you sell, scope, or build an AI agent workflow: where the pain is, what breaks, who owns exceptions, and whether the economics are actually worth it.