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AI is reshaping software delivery

Is your engineering data ready?

Join Accenture and OpsHub for a practical 30-minute discussion on what teams need to connect, modernize and govern before AI can improve software delivery at scale.

Discover the future of software delivery

What this is

A live discussion with experts from Adaptivist and OpsHub on what they are seeing in customer environments as teams try to apply AI on top of fragmented engineering data.

The pressure is real. So is the data problem.
Many organizations are already being asked to show progress with AI agents. The use cases are easy to imagine:

Find the right work item
Summarize status
Identify blockers
Recommend the next step
Trigger an action across systems

But agents only work from the data they can reach. And in most engineering environments, that data is not sitting neatly in one place.

One system has the official record.

Another has the latest update.

A third has the context people actually use.

What breaks when agents work from fragmented data?

Incomplete answers

The agent only sees part of the picture.

Stalled AI projects

Teams cannot move from experiments to trusted workflows.

Confident noise

Outputs sound right but miss critical context.

What we'll talk about

A practical path: harmonize, upgrade and build…

What Adaptivist and OpsHub are seeing as companies adopt AI in engineering.
Why AI initiatives struggle when engineering data is fragmented.
What needs to be connected before AI agents can deliver business value.
Practical modernization approaches that don’t require replacing existing tools.

Get practical ideas before your agents hit major roadblocks.

Join Adaptivist and OpsHub for a 30-minute conversation on what needs to be connected before engineering teams can move faster with AI.