ON-DEMAND WEBINAR
Scale AI, Not Your Budget: Govern Spend and Orchestrate Agents with MuleSoft
Published on July 28, 2026
Moving AI from experiments into production brings two problems with it: LLM infrastructure costs that are hard to predict, and a growing number of autonomous agents that are hard to manage. In this on-demand session, Salesforce and Diabsolut show how MuleSoft gives enterprise teams visibility across their AI ecosystem, firm control overspend, and a governed way to orchestrate agents without losing speed.
What you’ll learn
- See your whole AI ecosystem. Use automated discovery to find the agents, models, and connections already running across the business.
- Keep LLM spend predictable. Set cost controls that hold as usage grows.
- Match each task to the right tool. Decide when a job needs a fully agentic workflow and when a high-performance LLM is enough.
- Orchestrate agents with governance built in. Make sure every handoff and model selection accounts for cost and risk.
ABOUT THE SESSION
Getting control of AI cost and complexity at scale
The first wave of enterprise AI proved the value. It also left many organizations with a fragmented mix of models, agents, and integrations, plus infrastructure bills that climb faster than any one forecast. Scaling from here takes granular control over what runs, where, and at what cost.
- Automated discovery: Get a clear inventory of the agents and LLM connections in your landscape.
- Orchestration: Coordinate how agents pass work to each other and to people.
- Governance: Apply cost and risk policies at every step, using the latest MuleSoft capabilities.
Speed and control can work together
Governance often gets blamed for slowing AI down. This session argues the opposite. When teams can see their AI ecosystem and trust the guardrails around it, they can move more use cases into production with fewer surprises on the invoice. Andrew, Ismeet, and John walk through how expanded discovery, orchestration, and governance in MuleSoft support that balance.
You can’t control spend you can’t see.
SPEAKERS
Meet the expert panelists
Andrew More
Data Foundation Account Executive, Salesforce
Andrew works with Salesforce customers on the data and integration foundation behind their AI programs, including MuleSoft.
Ismeet Kaur
Data Foundation Senior Solution Engineer, Salesforce
Ismeet designs and demonstrates Salesforce data foundation solutions, including MuleSoft, for enterprise customers.
John Pettifor
SVP of Innovation, Diabsolut
John leads Diabsolut’s AI and Data practice and the company’s move toward becoming an agentic enterprise. Before joining Diabsolut, he led the Agentforce and Data Cloud Customer Success teams at Salesforce.
Frequently asked questions
It’s a recorded 69-minute session with speakers from Salesforce and Diabsolut, available to watch any time.
IT leaders, enterprise architects, and business leaders who own AI programs and need to control cost and risk as they move from pilots to production.
You’ll get immediate access to the full recording.
No. The session focuses on MuleSoft, but the core questions (when to use an agent versus an LLM, and how to keep spend predictable) apply to any organization scaling AI.