
In this moment, excerpted from the session “D365 Quality Assurance in the Agentic Era“, Nick Morea, VP, Global Solution Consulting, Leapwork, responds to Paul Langowski, Managing Director of Enterprise Business Applications, BDO, in a discussion about dealing with new aspects of technology following eras of challenge and labor-intensive testing processes.
Key Takeaways
- Entering the AI agentic era: For a while, with the AI agentic era, there was a promise of everything AI can do and what individuals can leverage AI for. “Then you inspect a bit and go, ‘Hold on, can we trust this?'” Morea challenges, “I think that’s where the evals and testing what the AI is doing, how it’s responding, what it’s really delivering — that’s something that has become the heart.”
- End-to-end approach: This approach becomes increasingly important the more AI grows and matures. AI is not only being leveraged for tasks like customizations and changes, but also being included as part of the DevOps cycle and process. There needs to be an end-to-end approach because it interacts with other APIs and other systems.
- A first-class citizen: “We’re not just blowing off AI as some user-based thing that’s kind of ancillary to the process,” Langowski notes. “It’s a first-class citizen of the process that we have to deal with when we test” to ensure there’s quality assurance around the entire solution.
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