Briefing

Boomi’s CEO Steve Lucas Unveils Agentic AI Strategy, Emphasizing Data Activation

ai-dev

Deploy the GTM agent by connecting Salesforce, Gong, LinkedIn, and Slack to Deep Agents and configuring LangSmith for telemetry.

What to do now

Set up the agent harness, add the required tools, and enable LangSmith logging to monitor performance.

Summary

Boomi, the integration platform that now serves over 30,000 enterprise customers and moves more data per second than the entire Visa card network, has announced a strategic pivot toward becoming a data‑activation company focused on the emerging agentic AI era. In early 2023, former Marketo and iCIMS chief executive Steve Lucas took the helm and has already outlined a vision in which AI will shift from influencing 20 % of executive decisions to driving 90 % of them within two years. Lucas introduced three diagnostic questions for AI readiness—are systems connected, are processes automated, and are systems agentic—alongside the slogan “Get your data to the gym,” which underscores the need for real‑time data movement to unlock AI value.

The company’s new direction is anchored in the rapid expansion of agent technology. Over the past 18 months, agents have evolved from simple chatbots into full‑stack coworkers, with their scope growing roughly tenfold. Modern production‑grade stacks now incorporate tools such as Clay for data, n8n and Gumloop for workflow plumbing, Lindy for vertical agents, and internal orchestration built on Claude, GPT, and Gemini. This complexity demands a dedicated organizational layer: the Agent Operator. The role emerged from converging forces—including expanded agent capabilities, mature tooling, saturated edges, shifting work patterns, flipped headcount math, and buyers demanding personalized outreach at scale. Without an operator, agents drift, fail silently, and teams lose leverage; the operator’s value is measured by how much they amplify every other GTM hire’s output.

Lucas highlighted a recent internal protest that erupted when Boomi rolled out its first Customer Success Management (CSM) agent, illustrating the cultural and operational challenges of adopting agentic AI. He also recounted using Claude Code on an airplane to prototype a contracts agent for his sales team, a story now shared on Apple Podcasts, Spotify, and YouTube. These anecdotes emphasize Boomi’s commitment to building trustworthy, data‑centric AI systems that can be deployed reliably across enterprise environments.

Collectively, the articles paint a picture of a company redefining its core mission: moving from a traditional integration platform to a leader in data activation and agentic AI. By investing in Agent Operators and ensuring data is continuously connected, automated, and agentic, Boomi aims to transform AI from a novelty into a scalable, accountable asset for go‑to‑market teams worldwide.

Key changes

  • GTM agent built on Deep Agents triggers on new Salesforce leads
  • Automated research via Salesforce, Gong, LinkedIn, and Exa
  • Draft email sent to Slack with human approval and 48‑hour auto‑send SLA
  • Parallel subagents gather account‑level signals for prioritization
  • All actions logged to LangSmith for performance metrics and telemetry
  • Achieved 250% conversion increase and 1,320 hours saved across the team
  • Deterministic middleware ensures safety nets and reliable execution
  • Virtual filesystem enables shared memory across subagents

Affects

sales-customers

Source angles · 3 perspectives

LangChain Blog
Independent angle

How we built LangChain’s GTM Agent

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Sales Hacker Blog
Independent angle

Agent Operators: The New GTM Role Driving AI Supervision

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Sales Hacker Blog
Independent angle

Boomi CEO Steve Lucas Discusses Agentic AI and Data Activation in 2026

Open

Customer impact

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