Why Propense.ai believes agentic AI will strengthen – not replace – the human side of professional services
A tax rule changes overnight. A client raises funding. Another announces a hiring push that could trigger new compliance needs.
For accounting and legal professionals managing dozens of relationships, expertise is rarely the problem. Timing is. Knowing when to reach out, what matters in the moment, and how to stay proactive without stretching already thin schedules often determines whether client relationships deepen or drift.
That tension between responsiveness and bandwidth is exactly where Propense.ai has been focusing its attention.
The Miami-based company has spent the past year expanding its presence across accounting and legal firms while building toward a shift in how AI supports professional services.
This week marks a turning point with the introduction of Hatfield, an always-on agentic AI client service partner designed to sit alongside professionals as they manage their books of business.
Rather than acting as a chatbot or another layer of software to maintain, Hatfield reflects a broader evolution in Propense’s thinking: AI as continuous context, not occasional assistance.
“We’ve been growing steadily,” Timothy Keith [pictured above], founder and CEO of Propense.ai, told Refresh Miami. “We’re now working with close to 20% of the top accounting firms, and we’ve expanded into legal with clients converting past beta.”
Starting with the smallest problems first
Keith pointed to a deliberate decision Propense made early on: focus on the microscopic details of professional workflows rather than sweeping automation promises.
The company began by mapping engagement types, market triggers, and client-level signals that often fall through the cracks inside firms. That meant building enrichment layers, predictive datasets, and contextual intelligence capable of surfacing needs professionals might otherwise miss.
“We tackled micro problems first,” Keith said. “In professional services, the details matter. You can’t build meaningful intelligence without understanding how the work actually happens.”
That groundwork allowed Propense to move from isolated insights to a broader contextual engine that is capable of assembling client history, external signals, and firm knowledge into usable recommendations.
The shift from insights to presence
Hatfield represents less of a new feature and more of a philosophical change. Instead of delivering answers when prompted, the system operates continuously in the background, monitoring client signals and preparing professionals to act before opportunities or risks become obvious.
The idea grew out of a familiar reality inside professional services: the seller/doer model. Partners are expected to grow relationships while simultaneously delivering the work that sustains them. That dual responsibility becomes increasingly difficult as books of business expand.
“Imagine serving 100 clients with the same level of attention you once gave 20,” Keith said. “That’s the tension professionals are dealing with.”
Hatfield is designed to ease that tension by tracking milestones, regulatory changes, growth indicators, and even subtle relationship risks across a professional’s client base. Instead of adding more notifications to manage, the system organizes those signals into context-rich prompts and suggested follow-ups that feel closer to reminders from a colleague than alerts from software.
Keith described it as a second brain: one that understands priorities, adapts to communication patterns, and helps professionals stay proactive without forcing new workflows.
“It’s meant to support how professionals already operate,” he said. “Not change it.”
Why AI won’t replace the advisor
The launch arrives during a moment when anxiety around AI’s impact on knowledge work remains high. Accounting and legal professionals, in particular, often find themselves at the center of automation debates.
Keith’s view is notably contrarian.
“What people misunderstand is that professional services are built on trusted advisors,” he said. “Clients aren’t just paying for answers. They’re paying for judgment, context, and someone who understands the nuance behind decisions.”
In that sense, AI’s role is focused on removing the work that consumes time without strengthening relationships. The result, he argues, is not diminished expertise but more visible expertise.
“When the mechanical work fades, professionals have more room for the conversations that actually matter,” he said.
Skepticism, curiosity, and measurable impact
Keith said the most successful implementations happen when AI enhances existing processes rather than attempting to reinvent them.
“It’s a skeptical industry, but also one that knows it can’t ignore what’s happening,” he said. “The firms seeing real results are the ones embedding AI into workflows they already trust.”
The impact is increasingly tangible. Over the past two years, Propense has tripled its client base. In one case that Keith shared, a top accounting firm identified more than $1 billion in previously uncaptured opportunities using Propense’s predictive data.
Equally important, Keith noted, is cultural change. Cross-selling and collaboration have long been aspirational goals within professional services organizations. By making client needs more visible, AI is helping turn those ambitions into measurable behavior.
“The technology creates accountability,” he said. “It shows where clients could be better served and makes it easier for professionals to act on that.”
Propense remains closely tied to Miami
The company’s early investors, network connections, and initial client relationships all emerged from our local ecosystem.
Today, the firm employs 13 people, a handful of whom are based in South Florida – a number Keith expects to increase as hiring accelerates later this year.
“Miami is where we started,” he said. “The relationships here helped us get early traction, and the ecosystem continues to support our growth.”
That foundation reflects a broader pattern within Miami’s tech scene: companies building globally relevant infrastructure while remaining rooted in local networks.
A future for AI in services
The introduction of Hatfield hints at a future where AI’s influence inside professional services becomes less visible even as its impact grows.
Instead of dramatic automation moments, change may arrive through subtle improvements: fewer missed signals, more timely conversations, and professionals who feel better prepared rather than overwhelmed.
Keith believes that dynamic ultimately reinforces the human core of the industry.
“Clients don’t want to hear from robots,” he said. “They want to hear from their advisor. AI should make those connections easier, not replace them.”
And in an industry where relationships are the product, the most meaningful innovation may not be smarter answers, but better timing.
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