What is in the Kore.ai case-study brief?

4 production Kore.ai programs with the scope, architecture and outcomes each client reported after go-live, plus our delivery sequence.

Are the numbers client-reported?

Yes. Every figure is generated from the published case study on pronix.ai, so the PDF can never drift from the site.

What does delivery look like?

Weeks 1–3: Intent and containment baseline, knowledge-source audit, integration map and a costed rollout plan. Weeks 4–9: Virtual agents, tool integrations, Search AI grounding and agent-assist build, with an evaluation harness in CI. Weeks 10–12: Pilot intents live behind fallback, guardrail and escalation tuning, agent enablement and hypercare. Run: Managed run pod: intent expansion, retrieval tuning, eval regression runs and quarterly containment reviews.

Case-study brief

Kore.ai programs, delivered and measured

Agent Platform virtual agents, Contact Center AI agent assist and Search AI grounding — deployed on regulated healthcare, banking and retail floors.

Written for: Chief AI Officer · VP Contact Center · CIO · Head of Digital

Talk to our team

Free with your company work email · PDF · 6 pages · Branded for internal sharing

What's inside

✓Four production Kore.ai programs with measured containment and AHT results
✓Virtual agent, agent assist and Search AI patterns with the systems they integrate
✓Grounding, guardrail and evaluation model used on regulated content
✓A delivery sequence from pilot intent to enterprise rollout

Production programs profiled

Pages, PDF

Delivery phases documented

Cost — free with a work email

Questions buyers ask

What is in the Kore.ai case-study brief?: 4 production Kore.ai programs with the scope, architecture and outcomes each client reported after go-live, plus our delivery sequence.
Are the numbers client-reported?: Yes. Every figure is generated from the published case study on pronix.ai, so the PDF can never drift from the site.
What does delivery look like?: Weeks 1–3: Intent and containment baseline, knowledge-source audit, integration map and a costed rollout plan. Weeks 4–9: Virtual agents, tool integrations, Search AI grounding and agent-assist build, with an evaluation harness in CI. Weeks 10–12: Pilot intents live behind fallback, guardrail and escalation tuning, agent enablement and hypercare. Run: Managed run pod: intent expansion, retrieval tuning, eval regression runs and quarterly containment reviews.

Where to go next

Resources

Kore.ai programs, delivered and measured

What's inside

Questions buyers ask

Where to go next

Explore the rest of the library