How AI Startups Can Challenge the Enterprise Services Model

AI is not just changing software. It may also change the economics of the services businesses built around it.

Anirudh Sriram, CTO at Tessera Labs, joins The Tech Trek to explain how his company is using AI to take on enterprise transformation work traditionally handled by large systems integrators. Tessera focuses on migrations, ERP upgrades, code, data, and planning, but the bigger story is how a startup can compete by replacing large teams and long projects with automation, smaller teams, and a focus on outcomes.

The conversation also gets into a harder problem. AI can produce work much faster than people can verify it. In one example, Tessera completed code migration work in three days, but functional testing still required roughly two months. That gap between production and verification may become one of the biggest constraints on enterprise AI.

What Stood Out

• AI creates an opening for startups to compete in markets where incumbents have historically won through scale and headcount.

• Selling outcomes instead of large project teams can change both pricing and customer expectations.

• Enterprise migrations can be a wedge into a much larger opportunity because they require understanding a customer's systems, data, code, and business processes.

• Faster AI output does not remove the need for human review. In some cases, verification becomes the new bottleneck.

Key Moments

02:12 Where AI can take work out of the enterprise migration process

04:39 How transformation projects can stretch years beyond their original plan

08:27 Why AI may change the economics of services businesses

13:42 Why verifying AI output is becoming a major constraint

22:17 How Tessera approaches security, governance, and enterprise data

24:56 Using migration as the entry point into broader enterprise automation

One Line That Stuck

“We sell the outcome and not the process.”

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