AI Consulting Strategy for a Practical Blueprint to Decontaminate Your Team’s Work

Most leaders are talking about AI wrong. The real challenge is not discussing artificial intelligence in theoretical terms. It is building a practical AI consulting strategy that delivers measurable results without sacrificing human expertise.

In a recent conversation on the Go to Market podcast, Michelle Seger, Chief Operating Officer at SalesGlobe, shared the framework her firm developed over 18 months of intensive AI implementation. Speaking with Amy Osmond Cook, Co-Founder and Chief Marketing Officer at Fullcast, Seger revealed actionable strategies for transforming consulting operations and elevating client value.

The core insight: a successful AI implementation is not about replacing your consultants. It is about “decontaminating” their roles so they can focus on the deep, strategic thinking clients actually pay for.

Why Your Firm Needs an AI Strategy Now

Client expectations have permanently shifted. When prospects can access competent data synthesis through ChatGPT, Claude, or Gemini, the baseline for what consultants must deliver rises dramatically.

“If you think about what you can do today with ChatGPT, Claude, Gemini, and all of them, you can ask them a lot of questions if you’re working for a company, even about sales or sales effectiveness, and it will give you pretty good answers. And so I’m thinking, okay, wow, we gotta rethink this because it’s going to totally change what the expectation is out of consultants.”

Firms that continue offering answers AI can generate will find themselves increasingly commoditized. The opportunity lies in using AI to free your experts for the strategic storytelling and nuanced judgment that transforms information into actionable insight.

The Job Decontamination Framework

Seger introduced a powerful concept that captures her entire AI philosophy: job decontamination. This means systematically removing mundane, time-consuming tasks that prevent consultants from doing their highest-value work.

Before AI Implementation

Consider the manual burden many firms still carry. Seger described a typical scenario:

“We might do 50 interviews. If you think about an interview that I conduct as a consultant, it can take an hour. I’ve got 50 of them. I’ve done 50 now. Now I’ve gotta go back and listen to them. Pull out all of the relevant talking points, trends that come out of that.”

Beyond the 50 hours of conducting interviews, consultants spent “probably another 40 hours and one FTE re-listening to those,” cleaning data, and building basic presentations in Excel.

After AI Implementation

The transformation was dramatic:

“They gather, synthesize the interviews, we pull them together, they get all the talking points, everything that they need. It takes less than an hour.”

That represents a 40x improvement in efficiency for a single process. More importantly, it redirects consultant energy toward critical thinking and solving underlying client issues.

A Repeatable Framework for AI Adoption

SalesGlobe’s approach offers a model any firm can follow.

Step 1: Empower Your Most Curious People

Rather than dictating AI adoption from the top down, Seger empowered a cross-functional team to lead the exploration:

“We picked a sub-team and said, let us know you can play and use every tool that’s available out there. We talked about what they all are. We don’t care. Use it as a sandbox, go out there and play.”

This works because the right people drive adoption. “We hire people that are very curious. They’re continuous learners. They have a real learning mindset.”

Step 2: Vet Tools Through Structured Experimentation

The sandbox phase lasted three months, with weekly reports on discoveries and learnings. This produced a vetted, standardized AI toolkit covering interview synthesis, data analytics, trend analysis, and presentation creation.

Step 3: Set Clear Expectations

The toolkit is not optional. “We are expecting every consultant to leverage AI in very key areas to make them more efficient, more productive.”

AI Enhances Human Judgment

The ultimate measure of an AI strategy is strategic impact, not just efficiency. Seger shared a case study that illustrates this principle.

A financial services CEO approached her requesting an inside sales team and new incentive plan. After thorough analysis, enabled by AI-driven efficiency, the team uncovered something different:

“We ended up going back to her after doing a pretty thorough assessment of the organization and saying, you don’t need inside sales, but what you do need is a business intelligence team.”

The recommendation proved highly successful. But it required consultants who could challenge assumptions and tell a compelling strategic story.

“What we needed to do was have really good consultants that could tell the story as to what the client was asking for and why, and why we were making this particular recommendation.”

The Consultant of the Future

Seger predicts the profile of a successful consultant will fundamentally change:

“We’re gonna expect and hire people that are very highly skilled, better skilled. We want people that are thinkers and that are going to be wanting to continue to innovate and come up with new solutions, not just rely on what they’ve done before.”

The role of a future consultant is to be a strategic partner, not just an extra set of hands. They will provide unparalleled human insight, guided and amplified by AI.

Your Next Step

The blueprint exists. Start by assessing your operational foundation and identifying the mundane tasks consuming your team’s time. Empower your most curious people to experiment. Build your toolkit. Set expectations.

The question is no longer whether to adopt AI, but whether you will use it to scale inefficiency or to compound your strategic advantage.