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It’s happening in boardrooms everywhere. The directors have read the headlines, watched competitors announce AI initiatives, and reached a conclusion: “Quick, get AI in here.”
It’s worth pausing on that sentence, because it raises an obvious question. What does it mean? Get what AI in here? To do what? For whom?
The board isn’t wrong about AI. Done right, it can give every seller a research assistant, strategy advisor, and a sales coach that never sleeps or takes a salary. The results for companies that get it right are remarkable. The board is wrong about one word: quick.
When pressure is high, the instinct is to deliver something fast:
That's what happens when the pressure to adopt AI overtakes the need to plan. Companies execute first and figure out what they're trying to accomplish later. Strategy becomes an afterthought.
The result is predictable. AI is extraordinarily good at recognizing and repeating patterns. Point it at an unproven sales process, inconsistent qualification, or messy CRM data, and it scales those weaknesses faster than any sales team could on its own.
That’s a high degree of efficiency at doing the wrong thing, and it moves sales performance backward.
BCG notes that many sales leaders are under pressure to deliver short-term benefits while recognizing that meaningful transformation takes time. The way through it isn’t to pick one side. It’s to give the board a plan that delivers visible progress without sacrificing the foundation.
Some sales leaders respond to board pressure by digging in: We’re not ready. The technology is moving too fast. Let’s wait. But standing still isn't the answer, either.
Your sellers are almost certainly using AI already, with or without permission. Meanwhile, competitors who implement it strategically can improve qualification, make their sellers more effective, and win more business while you're still deciding what to do.
The right answer isn't "no." It's "Yes. Here's the plan."
When the board says “quick,” respond with a plan on these four commitments. Each one turns a vague demand into something they can evaluate and track:
Here’s what we’re going to improve.
Name the specific sales outcomes: win rates, forecast accuracy, qualification quality, time to decision. “Get AI in here” isn’t a goal. “Use AI to help sellers qualify deals earlier and more accurately” is.
Here’s how we’ll protect what’s ours.
Account plans, pricing logic, and customer insight are competitive assets. Before sellers put them into any AI tool, we’ll use an enterprise environment that keeps our data out of public models, and we’ll ground our AI in approved company knowledge.
Here’s what our AI will be trained to do.
Every AI agent will be built on our sales process, a process rooted in how buyers make decisions, with clear instructions that enforce honesty, verified sources, and best practice. An untrained agent improvises. A trained one reinforces the way we want to sell.
Here’s when you’ll see progress, and what it will look like.
Behavior changes before revenue does. The board should expect early signs first, like cleaner CRM data, more consistent qualification, and sellers who can explain where each buyer stands, before the results show up in the numbers.
These commitments are a response a board can support, because it gives them what they want: confidence that AI will produce results, not just activity.
There’s one more argument worth making to the board, and it may be the most persuasive.
The large language models (LLMs) behind every AI tool change constantly. Organizations that build their AI approach around specific tools will find themselves rebuilding every four or five months. And if every seller is using something different, each change multiplies the chaos.
A plan rooted in sales best practice doesn’t have that problem. How buyers make complex decisions doesn’t change every quarter. When the plan is anchored there, new AI capabilities become upgrades you plug in, not reasons to start over.
As BCG puts it, success depends not on the number of AI tools a team uses, but on how the organization prioritizes and sequences their deployment. That’s a message any board can understand.
Our new guide, AI Panic, And You Forget to Plan, shows sales leaders what it takes to turn AI urgency into a sound strategy. Learn how to build AI around a proven, buyer-centered sales process, clean and protect the data it relies on, and train AI agents to reinforce best practices. Most importantly, learn why the plan must come before the tools.
