Kore.ai implementation partner.
Pronix is a Kore.ai implementation partner for the full lifecycle: adopt pre-built vertical agents with AI for X, migrate legacy XO Platform V1/V2 estates to the Agent Platform, or stand up a greenfield Agent Platform (Artemis) program end-to-end.
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 fastestPre-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-shiftLegacy dialogs, entities, knowledge graphs and custom scripts must be assessed, mapped and rebuilt on the Agent Platform without breaking live conversations.
- Artemis is architecturally differentThe 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 tracksAI for X, migration and Artemis implementation share governance, integrations and operating model — we run them together so investments compound.
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.
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.
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.
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.
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.
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.
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.
Greenfield Agent Platform builds: agent design, tool framework, memory, orchestration, evals and enterprise governance — engineered for agentic use cases beyond what XO could support.
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.
Ship with prompt/response evals, PII redaction, topic and safety guardrails, audit trails and enterprise policy controls — production-grade from day one.
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.
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.
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
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.
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.
Define a unified architecture: shared integrations, governance, model routing and channel strategy across all three pillars.
Stand up pre-built vertical agents against systems of record; tune, add guardrails and launch in weeks to unlock early ROI.
Assess, map and rebuild XO V1/V2 dialogs, entities, knowledge and integrations on the Agent Platform with regression parity gates.
Design and build greenfield Agent Platform agents with tools, memory, orchestration and evals for net-new agentic use cases.
Managed services across all three pillars — NLU tuning, prompt/eval maintenance, new use cases and 24×7 hypercare under one SLA.
Use cases already in production with enterprise clients.
Balance, transactions, disputes, card controls and servicing intents live in weeks with pre-built BankAssist flows integrated to core banking and CRM.
Appointment scheduling, Rx refills, benefits and triage flows connected to EHR, payer and scheduling systems with healthcare-grade guardrails.
Order status, returns, IT tickets, password resets, HR self-service and policy Q&A launched from pre-built packs and extended to your systems.
Legacy XO 11 bots with rule-heavy dialogs and custom scripts are rebuilt as agentic workflows with modern tooling and governance.
Current Agent Platform V1 agents are mapped, improved and migrated to the Agent Platform V2 with minimal business disruption and 99%+ regression parity.
Overlapping XO bots consolidate into fewer, more capable Agent Platform agents that share tools, knowledge and governance.
Greenfield multi-agent workflows for voice and digital contact centers with tool-use, memory and human-in-the-loop handoff.
Retrieval-grounded agents over SharePoint, Confluence, ServiceNow and document stores with citations, guardrails and continuous eval.
Employee-facing copilots for IT, HR, sales and operations with tool-use across CRM, ERP, ITSM and HRIS.
Industries where this ships fastest
- Financial Services
- Insurance
- Healthcare Providers
- Health Payers
- Retail & Ecommerce
- BPO & Outsourcing
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.
Where this fits in our practice
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.
Book a working session with our kore.ai partner team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.