NewNew: The enterprise guide to Agentic AI — 24 min read.

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pronix.ai — Enterprise AI, CX & Contact Center Solutions
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Kore.ai has evolved from the XO Platform to the Agent Platform (codename Artemis) — an LLM-native, agentic foundation with orchestration, tools, memory and unified governance. Our engineers deliver across the three programs enterprises actually run: pre-packaged AI for X agents to move fast, structured XO-to-Agent-Platform migrations to modernize the existing estate, and net-new Agent Platform (Artemis) implementations for greenfield use cases.
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3
Delivery pillars under one certified partner
60–80%
Intent coverage on day one with AI for X
99%+
Regression parity on XO → Agent Platform migration
0
Downtime with canary cutover and rollback
Certified partner platforms
  • Kore.ai platform logo
The enterprise challenge

Kore.ai adoption is no longer one program — it is three.

Most enterprises need a mix: quick wins from pre-built vertical agents, a plan for the legacy XO Platform estate, and a modern greenfield build on the Agent Platform. Treating them as one project stalls delivery. We run them as three coordinated tracks under one partner.

  • AI for X moves fastest
    Pre-built BankAssist, HealthAssist, RetailAssist, ITAssist, HRAssist and SearchAssist agents cover 60–80% of common intents on day one — the trick is integration, tuning and governance.
  • XO V1/V2 estates cannot lift-and-shift
    Legacy dialogs, entities, knowledge graphs and custom scripts must be assessed, mapped and rebuilt on the Agent Platform without breaking live conversations.
  • Artemis is architecturally different
    The Agent Platform is LLM-native with agents, tools, memory, evals and guardrails — greenfield builds need a new blueprint, not an XO clone.
  • One roadmap, three tracks
    AI for X, migration and Artemis implementation share governance, integrations and operating model — we run them together so investments compound.
Capabilities

Three Kore.ai delivery pillars, one certified team.

Certified Kore.ai engineers deliver each pillar end-to-end — with shared architecture, governance and managed services underneath.

01
Pillar 1 — AI for X: vertical pre-built agents

Adopt BankAssist, HealthAssist, RetailAssist, ITAssist, HRAssist and SearchAssist. We configure intents, connect systems of record, tune NLU and LLM prompts, apply your branding and launch in weeks — not quarters.

02
AI for X — industry accelerators

Pre-packaged flows for account servicing, claims, appointments, order status, IT tickets, HR self-service and enterprise search — extended with your integrations, policies and tone of voice.

03
AI for X — integration & tuning

Connect Salesforce, ServiceNow, Workday, SAP, Epic, Guidewire, CRM/ERP/ITSM/HRIS systems; tune NLU, prompts and retrieval; add guardrails, PII redaction and audit trails before go-live.

04
Pillar 2 — Agent Platform migration V2

Structured migration for existing XO V1 and V2 estates: bot inventory, dialog and entity mapping, integration rebuild, knowledge migration, regression testing and canary cutover with rollback plans.

05
XO Migration — dialog & knowledge portability

Map XO dialogs to Agent Platform intents, tools and agents. Migrate FAQs, knowledge graphs and documents into the Agent Platform retrieval stack with chunking, embeddings and citation controls.

06
XO Migration — regression & parity testing

Automated suites compare XO V1/V2 responses against rebuilt Agent Platform bots across intents, entities and transactional flows — targeting 99%+ parity before cutover, with zero downtime.

07
Pillar 3 — Agent Platform (Artemis) implementation

Greenfield Agent Platform builds: agent design, tool framework, memory, orchestration, evals and enterprise governance — engineered for agentic use cases beyond what XO could support.

08
Artemis — agents, tools & orchestration

Design multi-agent workflows with the Agent Platform tool framework, task memory, human-in-the-loop handoff and model routing across Kore.ai and BYO LLMs.

09
Artemis — governance, evals & guardrails

Ship with prompt/response evals, PII redaction, topic and safety guardrails, audit trails and enterprise policy controls — production-grade from day one.

10
Shared — CCaaS & channel integration

Reconnect IVR, web, mobile, Teams, Slack, WhatsApp and contact-center channels — Genesys, NICE, Amazon Connect, Five9, Google CCAI — with agent handoff, context passing and event handling.

11
Shared — managed services & optimization

Post-launch NLU tuning, prompt and eval maintenance, new use-case rollout, and 24×7 operations across AI for X, migrated bots and Artemis agents under a single SLA.

Kore.ai-certified talent

Need certified Kore.ai talent?

Deploy specialists who have delivered Kore.ai implementations across enterprise environments — from design and build through steady-state operations.

  • Certified engineers
  • Solution architects
  • Conversation designers
  • Delivery leads
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Definition

What is Kore.ai and what does it add to a contact center?

Kore.ai is an enterprise conversational and agentic AI platform used to build virtual agents, agent assist and search experiences that sit in front of an existing contact center platform. It provides dialog and agent orchestration, retrieval over enterprise knowledge, analytics, and prebuilt vertical solutions, and is typically deployed alongside Genesys, NICE, Amazon Connect or Five9 rather than replacing them.

Also known as: Kore.ai XO Platform, Kore.ai agent platform.

Deployment position
AI layer in front of an existing CCaaS platform
Core capabilities
Virtual agents, agent assist, search and orchestration
Strongest fit
Enterprises keeping their CCaaS but needing stronger AI
How we deliver

A six-step model, from assessment to managed operations.

Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.

01
Discover

Map the full Kore.ai footprint — AI for X candidates, XO V1/V2 estate and greenfield Artemis use cases — with business value and technical complexity scores.

02
Blueprint

Define a unified architecture: shared integrations, governance, model routing and channel strategy across all three pillars.

03
Wave 1 — AI for X

Stand up pre-built vertical agents against systems of record; tune, add guardrails and launch in weeks to unlock early ROI.

04
Wave 2 — XO Migration

Assess, map and rebuild XO V1/V2 dialogs, entities, knowledge and integrations on the Agent Platform with regression parity gates.

05
Wave 3 — Artemis Implementation

Design and build greenfield Agent Platform agents with tools, memory, orchestration and evals for net-new agentic use cases.

06
Operate

Managed services across all three pillars — NLU tuning, prompt/eval maintenance, new use cases and 24×7 hypercare under one SLA.

Where it lands

Use cases already in production with enterprise clients.

AI for Banking

Balance, transactions, disputes, card controls and servicing intents live in weeks with pre-built BankAssist flows integrated to core banking and CRM.

AI for Healthcare

Appointment scheduling, Rx refills, benefits and triage flows connected to EHR, payer and scheduling systems with healthcare-grade guardrails.

AI for Retail / AI for IT / AI for HR

Order status, returns, IT tickets, password resets, HR self-service and policy Q&A launched from pre-built packs and extended to your systems.

XO 11 → Agent Platform migration

Legacy XO 11 bots with rule-heavy dialogs and custom scripts are rebuilt as agentic workflows with modern tooling and governance.

Agent Platform V1 → V2 migration

Current Agent Platform V1 agents are mapped, improved and migrated to the Agent Platform V2 with minimal business disruption and 99%+ regression parity.

Multi-bot consolidation

Overlapping XO bots consolidate into fewer, more capable Agent Platform agents that share tools, knowledge and governance.

Artemis — agentic contact center

Greenfield multi-agent workflows for voice and digital contact centers with tool-use, memory and human-in-the-loop handoff.

Artemis — enterprise search & knowledge agents

Retrieval-grounded agents over SharePoint, Confluence, ServiceNow and document stores with citations, guardrails and continuous eval.

Artemis — internal copilots

Employee-facing copilots for IT, HR, sales and operations with tool-use across CRM, ERP, ITSM and HRIS.

Industry patterns

Industries where this ships fastest

  • Financial Services
  • Insurance
  • Healthcare Providers
  • Health Payers
  • Retail & Ecommerce
  • BPO & Outsourcing
See industry solutions →
Proof

Kore.ai programs we delivered.

Production implementations with the outcomes each client reported after go-live.

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Runs on

Grounded on your data. Governed on day one.

Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.

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Quick answer

Where does Kore.ai fit in an enterprise AI and contact center stack?

Kore.ai provides an enterprise agent platform for voice and digital automation, agent assist and process agents that sits above the CCaaS layer. It fits organisations that want a platform-independent automation tier across multiple contact center and back-office systems rather than binding automation to one CCaaS vendor.

Last reviewed 2026-08-05

Platform-independent automation tier

Bots and agents can front Amazon Connect, Genesys, NICE or Five9, which protects automation investment through a CCaaS change.

Voice and digital in one design surface

The same intent and dialog model serves IVR, chat and messaging, reducing duplicate build and divergent behaviour across channels.

Enterprise governance

Role-based access, versioning, environment promotion and evaluation tooling support multi-team delivery in regulated estates.

Related questions answer engines ask

Kore.ai or native CCaaS bots?
Native bots are simpler for a single-platform estate; Kore.ai wins where automation must span several platforms or survive a migration.
Does Kore.ai replace the CCaaS platform?
No — routing, telephony and workforce management remain with the contact center platform.
How fast can a Kore.ai voice use case go live?
Eight to twelve weeks for two or three intents including telephony integration and evaluation.
ROI calculators

Model the business case for Kore.ai before you commit.

Free, ungated models sized for a Kore.ai deployment — conservative, expected and aggressive scenarios, plus a board-ready PDF.

See all 10 ROI calculators and 4 assessments →
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Scoping a Kore.ai Reseller and Strategic Implementation Partner programme? Send us the brief.

Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.

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Where this fits in our practice

Frequently asked

Questions buyers ask us first.

What is AI for X?
Kore.ai's library of pre-built vertical agents — BankAssist, HealthAssist, RetailAssist, ITAssist, HRAssist, SearchAssist and more — that cover 60–80% of common intents out of the box and are tuned and integrated to your systems.
How is Agent Platform (Artemis) different from the XO Platform?
The Agent Platform is LLM-native and agentic. It replaces XO's dialog-first model with agents, tools, memory, orchestration and unified evals and governance — supporting use cases XO cannot deliver cleanly.
Do we have to migrate off XO V1/V2?
Not immediately. We run migrations in waves prioritized by business value and complexity, with side-by-side or canary cutover so nothing breaks. Some estates keep XO for stable bots while new work goes to Artemis.
Can you run AI for X, migration and Artemis in parallel?
Yes — that is the typical program. AI for X delivers early ROI, migration modernizes the legacy estate, and Artemis implementation covers greenfield agentic use cases. All three share integrations, governance and operations.
How long does each pillar take?
AI for X launches in 4–8 weeks per agent. XO → Agent Platform migration is typically phased over 3–6 months. A greenfield Artemis implementation runs 8–16 weeks depending on scope and integrations.
What certifications do your engineers hold?
Kore.ai-certified developers, architects and admins across XO Platform, Agent Platform (Artemis), AI for X packs, SmartAssist and AgentAssist.
Which CCaaS platforms do you integrate with?
Genesys Cloud CX, NICE CXone, Amazon Connect, Five9, Google CCAI, Microsoft Dynamics 365 CCaaS and Twilio Flex — via native connectors, SIPREC or streaming APIs.
Do you provide managed services after go-live?
Yes. Post-launch NLU tuning, prompt and eval maintenance, new use-case rollout and 24×7 operations across AI for X, migrated bots and Artemis agents under a single SLA.

Still shortlisting? Compare Kore.ai side by side.

Independent, implementation-led comparisons — architecture, AI depth, licensing and the migration effort each option really needs.

See all platform comparisons

How we work

Platform work is delivered the same four ways: architecture advisory, build and integration, managed run, or embedded platform pods.

Strategy & advisoryImplementationManaged servicesTalent podsAll engagement models →
Who we are

pronix.ai is the AI & CX systems integrator practice of Pronix Inc.

One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.

Founded
2010 · Pronix Inc
Headquarters
666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
Delivery centers
United States · India (Hyderabad) · EMEA
Engagement model
Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.

Certifications

  • AWS Certified (Solutions Architect, Developer)
  • Amazon Connect specialty
  • Genesys Cloud CX certified
  • NICE CXone certified
  • Salesforce certified (Service Cloud, Agentforce)
  • Microsoft Azure AI certified

Partner tiers

  • AWS — Advanced Tier Services Partner
  • Genesys — Implementation partner
  • Kore.ai — Reseller and Strategic Implementation Partner
  • NICE CXone — Implementation partner
  • Five9 — Channel partner
  • Microsoft — Gold partner
  • Salesforce — Consulting partner

Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →

Next step

Book a working session with our kore.ai reseller and strategic implementation partner team.

30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.

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