The Predictive Adviser: From Client Insight to Market Intelligence

Stuart Noad, CMO at Beauhurst, speaks with Charles Thornhill, CEO of Harken, about how professional services firms can combine human insight, company data and AI to identify opportunities earlier, anticipate client needs and build stronger relationships.

For years, professional services firms have invested heavily in CRM, client listening, account planning, business development and marketing automation. Now AI promises to make many of these activities faster and easier to scale. Yet many firms still struggle with three deceptively simple questions: Who should we be talking to? About what? And why now?

Stuart: That changes how we think about the ideal client profile (ICP). Traditionally, firms define their target audience by sector, geography, revenue, company size or ownership. But businesses don’t stand still. Instead of simply asking whether a company looks like our ideal client, we should be asking what is happening inside that company that makes it particularly relevant to us now.

For a law firm, that might be an acquisition, international expansion or leadership change. For an accountancy firm, it could be fundraising, rapid growth, a new market or a change in ownership.

The ICP becomes more dynamic. It describes the characteristics of a good client, and also the conditions that make a business relevant at a given moment.

Charles: Exactly. A company that isn’t particularly relevant to a firm today may become highly relevant six months from now because something has changed.

The question becomes less about identifying the right companies once and more about understanding what changes make a company become the right company at the right time.

Stuart: And the next step is moving from individual signals to patterns. Imagine that analysis across thousands of companies reveals that businesses displaying a particular combination of innovation, grant funding and hiring activity are more likely to go on to raise investment. If the data confirms that relationship, the pattern could become a predictive signal.

Now, the adviser is no longer reacting to an event. They can start recognising the circumstances that may indicate what comes next.

Charles: That’s right, the power isn’t necessarily in having more information; it’s in connecting the relationships between that information so we can see the story, and then having someone who understands the client well enough to work out what it actually means.

The important caveat is that technology doesn’t remove judgement. The starting point has to be the problem or opportunity. What are we trying to understand? What are we trying to achieve? What decision are we trying to make?

Only then should we ask whether technology can help. Otherwise, we risk ending up with a lot of data and very little insight.

Stuart: Imagine an adviser preparing for a client meeting. Instead of searching across multiple systems and trying to piece together what has happened, their workflow surfaces what has changed, what the client previously said mattered to them, which signals might be significant and what questions those changes should prompt. Essentially, the intelligence arrives when the adviser needs to decide how to engage.

The same principle applies to new business. A combination of company signals and client insight might indicate that a prospect has entered a situation where the firm’s expertise is particularly relevant. For an existing client, it might reveal an emerging need or a reason to revisit a strategic conversation. The progression is simple: signal, context, trigger, insight, conversation, action.

Charles: The key part of that is that the technology doesn’t need to generate the conversation. It needs to help the adviser understand why a conversation is worth having.

Sometimes better intelligence will identify an opportunity to pursue; sometimes it will help deepen an existing relationship; and sometimes it will tell you that an opportunity isn’t worth pursuing at all. The objective is to put human attention where it is most likely to create value.

Stuart: And this intelligence can inform much more than direct outreach. It can improve account planning, meeting preparation, campaign timing and the thought leadership a firm chooses to produce.

If we identify a meaningful pattern across a sector, for example, we can turn that insight into research, a report or a point of view that gives partners something genuinely useful to take into the market. Marketing becomes more than a demand-generation function; it helps the firm understand where demand, need, and opportunity are emerging and equips its people to respond.

The future of predictive advisory

Stuart: So perhaps the future isn’t about an AI adviser replacing the human adviser. It’s about giving advisers a better view of what is happening, what it might mean and what could happen next, and putting that intelligence directly into the decisions they make.

Charles: Exactly. The future of relationship-led growth isn’t about choosing between human relationships and tech, it’s about making the relationships themselves better.

Beauhurst can help advisers see what is happening in the market and within individual businesses. Client listening can help them understand what those changes mean to the people they are advising. Predictive models can help identify patterns and potential trajectories. Workflow can put the relevant intelligence in front of the adviser when they need to make a decision.

Human judgement connects all of that, turning information into a relevant conversation and, ultimately, action.

Stuart: The predictive adviser isn’t the person who knows everything. It’s the person who has the right intelligence at the right moment, understands the client well enough to interpret it, and can act before the change becomes obvious. 

It’s using data to make relationships more intelligent, predictive and scalable. And ultimately, using that intelligence not just to respond to the market, but to help shape where it goes next.