Tech Disruptors

“The hardest challenge in enterprise agent deployment is not generating them; it’s the accountability,” Kristin Milchanowski, chief AI and quantum officer at BMO Financial Group, tells Bloomberg Intelligence senior analysts Paul Gulberg and Anurag Rana. In this episode, the group discusses BMO’s AI profit target of $1 billion by 2030, how the bank is embedding AI into core workflows and why agentic systems still require strong human oversight, governance and measurable benchmarks. Milchanowski explains how BMO is designing for model change with a hybrid infrastructure, exploring small language models for focused workflows, and prioritizing measurable business value over token consumption as it expands AI across the enterprise.

Reducing inefficiencies across financial services, automating workflows and maximizing available cash flow for small- and medium-sized businesses (SMBs) is central to BILL’s mission. On this episode of Tech Disruptors, the company’s chief product officer, Mike Cieri, joins Bloomberg Intelligence analyst Niraj Patel to discuss the creation of a future financial platform that covers payments, spending and expenses, accounts payable, financial planning and analysis and more. He explains how BILL is leveraging AI across its portfolio, which serves close to 500,000 SMBs, and talks about the fragmented payments landscape, customer priorities and the company’s transaction agents.

“The bottleneck isn’t really having ideas; the bottleneck is execution,” Gautier Cloix, CEO of H Company, tells Bloomberg Intelligence Senior Technology Analyst Anurag Rana. “What we do is basically [make] execution infinite so we can focus on intention and ideas and strategy.” In this episode of Tech Disruptors, the pair discuss how computer-use agents can operate enterprise software through existing user interfaces, enabling companies to automate workflows without first rebuilding, migrating or integrating their technology stacks. Cloix also explains why H Company combines specialized, lower-cost models with forward-deployed engineers to target measurable ROI, turning legacy software into an asset and creating an execution layer across disconnected enterprise systems.

Faster AI code generation is increasing the need for governance, security and control across the software-development life cycle, says Bill Staples, GitLab’s CEO. Staples joins Bloomberg Intelligence analyst Mandeep Singh on this episode of the Tech Disruptors podcast to discuss GitLab’s position as a cloud- and model-neutral orchestration layer for coding agents, as well as the shift from seat-based subscriptions toward a hybrid model that includes consumption pricing for agentic workloads.

Faster AI code generation is increasing the need for governance, security and control across the software-development life cycle, says Bill Staples, GitLab’s CEO. Staples joins Bloomberg Intelligence analyst Mandeep Singh on this episode of the Tech Disruptors podcast to discuss GitLab’s position as a cloud- and model-neutral orchestration layer for coding agents, as well as the shift from seat-based subscriptions toward a hybrid model that includes consumption pricing for agentic workloads.