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Chronicles

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Conduct, which uses AI to let companies maintain, change, and modernize their legacy IT systems, raised a $60M Series A, bringing its total funding to $72M

Enterprise IT startup Conduct raised a $60 million Series A co-led by Index Ventures and ICONIQ, CEO Jan Philipp Haas tells Axios Pro exclusively.

Axios Chris Metinko

Context & Ripple Effects

Conduct’s financing lands amid a cluster of enterprise-AI companies aimed at operating the existing IT estate: Console automates lower-level support work, while Defakto and ConductorOne focus on controlling the identities and system interactions created by AI adoption.

The common thread is that AI deployment in enterprises is moving beyond experimentation toward the operational layers—support, governance, security, and now maintenance and modernization of legacy systems.

First-order effects

  • Conduct gains new capital to expand its AI-based legacy-system maintenance, change, and modernization offering, with Index Ventures and ICONIQ becoming direct backers.
  • Companies responsible for older IT environments gain another vendor option for applying AI to work that is often difficult to modernize without disrupting existing operations.

Second-order effects

  • IT-service providers and legacy-modernization vendors face pressure to demonstrate where AI can reduce manual maintenance work or accelerate system changes, rather than positioning AI only as a new application-development tool.
  • As AI is used to alter and operate established systems, demand rises for adjacent controls around agent access, automated system-to-system interactions, and identity governance—areas targeted by Defakto and ConductorOne.

Third-order effects

  • If enterprise buyers validate AI-assisted modernization in production, legacy estates could become an important AI adoption market rather than a barrier that keeps organizations from deploying AI broadly.
  • The durable competitive question will shift from AI capability alone to whether vendors can make automated changes dependable and governable across complex, business-critical systems.

The trend: Enterprise AI is expanding from isolated productivity use cases into the maintenance, modernization, and governance of core IT operations.