Agents on the mainframe: a real end-to-end workflow walkthrough with

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What if your mainframe could talk back and guide the fix? I spoke to Liat Sokolov, Product Manager for AI solutions and an AI Evangelist at BMC Software. We explored how teams move from manuals and dashboards to real conversations with the platform. Liat breaks down why “guided resolution” beats “just answers” by giving the next right step in context, cutting time to recovery and reducing errors.

We dug into the GenAI knowledge expert that keeps hard-won expertise in house as veterans retire. It becomes a coach for new developers and operators, helping them ramp faster and avoid costly mistakes.

We also separated conversational AI from AI Agents and showed why enterprises need both. Picture agents coordinating across dev, ops, and cloud to roll out a change with checks, traceability, and rollback.

That is how you modernize with confidence. Liat also explained why the mainframe can be the most explainable platform in the AI era, which matters for trust and safety.

We finished with a practical path forward. Start with one high-value workflow, capture the expert playbook, pilot a conversational assistant with guardrails, then add agents as you prove value.

If you care about making the mainframe simpler, safer, and faster, this interview is worth your time.

#data #ai #mainframe #bmc #theravitshow