Invoca's New CTO Signals Deeper Bet on AI Agents to Run the Enterprise

SANTA BARBARA, CA – August 11, 2026 – When a company in the thick of the AI arms race appoints a new technology chief, the industry takes notice. But Invoca’s announcement today that JB Brown will take the helm as Chief Technology Officer is more than a routine executive shuffle. It is a profound statement of intent. By hiring a leader whose career is defined by architecting AI-agent-driven systems, the revenue execution platform is signaling a strategic pivot from merely using AI to fundamentally rebuilding its engineering culture and product capabilities around it.

The move comes just two months after Invoca launched Nico, its AI revenue conversion agent designed to manage complex buyer journeys. Brown’s appointment makes it clear that Nico is not an experimental side project, but the beginning of a new chapter. He arrives from Smartsheet, where he gained a reputation for transforming a large engineering organization into an AI-native powerhouse. For Invoca, this hire is about bringing that same transformative DNA into its core.

“Teams that build with AI every day build better AI for customers,” said Gregg Johnson, CEO of Invoca, in the official announcement. “That is the connection JB makes, and it is why he will move our platform and our agents forward faster.” This statement, while seemingly straightforward, encapsulates a philosophy that is rapidly separating the AI leaders from the laggards: true AI innovation is born from deep, internal adoption.

From AI-Native to Agentic-First Development

To understand the significance of Brown's appointment, one must first grasp the concept of 'agentic development'—a paradigm that makes traditional software engineering look almost quaint. It goes beyond developers using AI assistants like GitHub Copilot for code suggestions. In an agentic model, a specialized workforce of autonomous AI agents collaborates across the entire software development lifecycle, from architecture and implementation to testing and operations.

At Smartsheet, Brown didn't just encourage this; he architected it. He designed a system where specialized AI agents acted as “digital teammates,” capable of working in parallel to accelerate outcomes. This wasn't theoretical. The results were dramatic, with some reports from his tenure indicating an 80% reduction in CI pipeline verification times and a 60% drop in average token costs for AI tool usage. By treating AI as a productivity return, not a cost center, he proved that a workforce of digital agents could fundamentally improve development velocity and efficiency.

Brown’s expertise is not confined to corporate walls. He is a top contributor to Roo Code, an open-source AI coding agent project, and founded Prosponsive to build agentic development frameworks. This combination of enterprise-scale implementation and deep, hands-on technical contribution makes him a rare find. He isn’t just a manager who understands AI; he is an architect who builds the systems that put it to work.

Building a Business on Autonomous Agents

Invoca's strategy appears to be a calculated bet that the best way to build market-leading AI agents for customers is to first build the company itself with AI agents. Brown’s own words underscore this synergy. “The draw for me was an engineering culture where agentic development is already the way the work gets done rather than a pilot running on the side,” he stated. “That is how you attract the best engineers and turn raw velocity into a lasting competitive edge.”

This approach stands in stark contrast to the many firms in the competitive revenue execution space that are simply bolting AI features onto legacy platforms. While competitors focus on AI-powered analytics or chatbots, Invoca is positioning itself to leverage more sophisticated, autonomous systems. The company's foundation of what it calls “trusted first-party data” from over 70 million conversations analyzed in a recent report becomes the critical fuel for these agents. Without high-quality, proprietary data, even the most advanced agentic systems are ineffective.

By hiring Brown, Invoca is doubling down on the idea that engineering culture is a competitive differentiator. The company is wagering that an organization fluent in collaborating with AI agents internally will be uniquely positioned to create AI agents that can collaborate seamlessly with its clients' customers.

Redefining the Buyer Journey with AI

The ultimate test of this strategy will be its impact on the consumer brands Invoca serves, which include heavyweights like Mayo Clinic and Verizon. The promise of agents like Nico extends far beyond the capabilities of traditional chatbots. Instead of just answering isolated queries, these agents are designed to orchestrate entire, often complex, buyer journeys that span digital ads, website interactions, and contact center calls.

This is where Invoca's strategy becomes particularly compelling. The company’s 2026 Lead Conversion Benchmarks Report revealed a fascinating insight: leads referred from ChatGPT convert at the highest rate of any channel. This single data point validates the entire thesis. It shows that customers are already comfortable engaging with AI in substantive ways and that these interactions are incredibly valuable. The next logical step, which Invoca is taking, is to move from passive AI referral sources to proactive AI agents that guide, nurture, and convert those customers.

For marketing, sales, and contact center teams, this means a shift from managing disparate tools to overseeing a unified, AI-driven revenue engine. It promises to connect the billions spent on paid media directly to sales outcomes, optimize digital engagement in real-time, and automate vast swathes of the customer journey, freeing human employees to focus on high-value, empathetic interactions where they are most needed. The appointment of JB Brown suggests that Invoca is not just selling this vision of the future; it is actively building its own company in its image.