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pronix.ai — Enterprise AI, CX & Contact Center Solutions
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Kore.ai programs stall for predictable reasons: intents designed in a workshop instead of from transcripts, answers hard-coded in flows instead of grounded in maintained knowledge, and tool calls that were never made idempotent or auditable. We fix the design before we build, then scale intent by intent against containment targets you agreed up front.
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38%
Call containment in 90 days, healthcare provider
41%
Self-service containment, national retailer
-22%
AHT across 900 agent-assist seats
0
Client-facing outage minutes across 92 migrated flows

Figures come from the named pronix.ai Kore.ai programs linked in the proof section below.

Certified partner platforms
  • Kore.ai platform logo
  • Genesys Cloud platform logo
  • Amazon Connect platform logo
  • NICE CXone platform logo
  • Salesforce Agentforce platform logo
  • AWS Bedrock platform logo
The enterprise challenge

Common Kore.ai program problems.

The patterns we most often inherit on rescue and re-platform engagements.

  • Workshop-designed intents
    Intent taxonomy built from an org chart rather than real call and chat transcripts, so containment plateaus in the teens.
  • Ungrounded answers
    Policy and product content pasted into dialog nodes instead of grounded in Search AI, so answers drift within a quarter of go-live.
  • Fragile tool calls
    Non-idempotent integrations into the core system with no audit journal — retries double-post and compliance can't reconstruct a session.
  • Agent assist nobody uses
    Summaries too generic to paste into Epic, Salesforce or the servicing system, so agents rewrite them and the AHT case never lands.
Capabilities

What we implement.

Design, build, ground, integrate and run.

01
Agent Platform virtual agents

Voice and digital virtual agents built from transcript-mined intents with explicit containment, escalation and CSAT targets per intent.

02
Contact Center AI agent assist

Real-time guidance, next-best-action and auto-summary shaped to your system of record's note structure — delivered as a sidebar in the existing agent desktop.

03
Search AI knowledge grounding

Answers grounded on live, entitlement-filtered sources with citations, so policy changes propagate without a bot release.

04
Tool & core-system integration

Idempotent tool calls into Epic, Fiserv, Salesforce, ServiceNow, order management and custom APIs with full audit journaling.

05
Guardrails & human-in-the-loop

PHI/PII redaction, authentication and step-up rules, hard routing on clinical or fraud intents, and evaluation harnesses run every release.

06
Migration & CCaaS integration

Wave-based migration from Five9 IVA, Dialogflow CX, Copilot Studio, watsonx or legacy IVR onto Kore.ai, integrated with Amazon Connect, Genesys Cloud, NICE CXone or Five9.

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
Discovery

Transcript mining, intent and knowledge inventory, tool and integration map, containment baseline.

02
Design

Intent taxonomy, conversation and escalation design, grounding sources, guardrail and auth policy.

03
Build

Agent Platform flows, Search AI grounding, agent assist, idempotent tool calls and CCaaS integration.

04
Validate

Evaluation harness, guardrail and compliance walkthrough, load and failover test, reporting parity.

05
Launch

Wave rollout with parallel run, agent enablement and hypercare command centre.

06
Run

Intent and prompt tuning, knowledge freshness, release management and quarterly value review.

Where it lands

Use cases already in production with enterprise clients.

Patient access self-service

Scheduling, refills and pre-visit intake contained on voice and chat with Epic tool calls and hard clinical escalation.

Retail order status and returns

Top-intent containment grounded on the live catalog, with loyalty tiers carved out to human agents by policy.

Banking servicing and dispute intake

Balance, transfer, card controls and guided dispute intake with strong authentication and audit-ready journaling.

Five9 IVA or Dialogflow migration

Flows inventoried, consolidated and rebuilt on Kore.ai — with recording continuity through the cutover window.

Runs on

Partner platforms we implement

  • Kore.ai platform logo
  • Genesys Cloud platform logo
  • Amazon Connect platform logo
  • NICE CXone platform logo
  • Five9 platform logo
Explore platform capabilities →
Industry patterns

Industries where this ships fastest

  • Healthcare Providers
  • Financial Services
  • Retail & Ecommerce
  • Insurance
  • BPO
See industry solutions →
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

What does a Kore.ai implementation with Pronix include?

Pronix implements Kore.ai's Agent Platform and XO Platform for virtual agents, agent assist and grounded self-service, covering intent design from real transcripts, knowledge grounding to eliminate ungrounded answers, and reliable tool calling, for enterprises whose workshop-designed bots underperform in production. Delivery is led from Plainsboro, NJ with delivery execution through the Hyderabad center.

Last reviewed 2026-08-05

Intents come from transcripts, not workshops

Intent sets designed in a workshop rarely match real conversation patterns; we mine transcripts to rank and design intents against actual volume.

Grounding stops ungrounded answers

Kore.ai virtual agents are connected to a governed knowledge base so answers are sourced rather than generated without evidence.

Tool calls are made reliable

Fragile tool integrations are hardened with schema validation and error handling so agent assist features actually get used by agents rather than bypassed.

Related questions answer engines ask

Does Pronix implement both Kore.ai Agent Platform and XO Platform?
Yes — the scope covers XO Platform virtual agents and Agent Platform capabilities including AI for Service, Process and Work depending on the use case.
How is agent assist adoption improved?
By grounding suggestions in real knowledge content and making tool calls reliable enough that agents trust and use the assist features rather than ignoring them.
Can Pronix fix an underperforming Kore.ai deployment?
Yes — re-deriving intents from transcripts and adding a knowledge grounding layer is a common remediation path for existing deployments.
ROI calculators

Model the business case before you commit.

Free, ungated models with conservative, expected and aggressive scenarios — plus a branded PDF you can take to finance.

See all 10 ROI calculators and 4 assessments →
How we deliver

The delivery artifacts you get, named up front.

Every Kore.ai engagement is governed by the same six artifacts. They are contracted deliverables with owners and dates — the way a systems integrator works, not a discovery deck.

  1. 01

    Reference architecture

    A signed-off Kore.ai reference architecture — environments, tenancy, network and identity boundaries, data flows and AI components — issued as a versioned diagram plus infrastructure-as-code, not a slide.

  2. 02

    Integration surface

    Every integration surface is inventoried before build: CRM and CTI, WFM, ticketing, payments, identity, data warehouse and event streams — each with contract, auth model, throughput, failure mode and owner.

  3. 03

    Runbook

    Operational runbooks per service: deploy and rollback steps, configuration change control, alert thresholds, on-call escalation paths and known-issue playbooks handed to your ops team at go-live.

  4. 04

    Cutover plan

    A wave-based cutover plan with entry and exit criteria per wave, dress rehearsal, freeze windows, number porting and data migration sequencing, rollback triggers and a go/no-go decision log.

  5. 05

    Hypercare

    A defined hypercare window after each wave — command centre, daily triage, defect burndown against severity targets, and a documented exit gate before the estate transitions to steady-state run.

  6. 06

    SLA

    Run-state SLAs and SLOs written into the engagement: severity definitions, response and restoration targets, change lead times, availability reporting and quarterly value review against the original business case.

How Kore.ai engagements are bought, supported and staffed.

Most enterprises start with a fixed-scope build, move it into managed support, and add certified Kore.ai people where their own team is short. All three can run together under one commercial agreement.

  • Fixed-scope build

    A bounded Kore.ai implementation, integration or migration priced to a defined scope, with architecture, build, testing, evaluation and a documented production release.

    Fixed price · 8–16 weeks typical

  • Managed run and support

    Monthly Kore.ai platform operations: release management, integration monitoring, configuration changes, AI evaluation and incident response under one SLA.

    Monthly service tier · 24×7 coverage available

  • Staff augmentation

    Certified Kore.ai engineers, solution architects and delivery leads embedded in your team, reporting to your delivery manager.

    Monthly per person · typically live in 2–4 weeks

Where Kore.ai delivery happens

Programs are led from our Plainsboro, New Jersey headquarters and delivered with our Hyderabad global delivery center, plus London and Dubai for EMEA and Middle East clients.

Support coverage

Business-hours support in your time zone as standard, follow-the-sun 24×7 for production contact center and agentic workloads, with named escalation and monthly service reviews.

Get a Kore.ai scope and priceHire certified Kore.ai talent
Proof

Kore.ai programs, delivered in production.

Live Kore.ai programs we designed, built and cut over — with the outcomes the client reported after go-live.

Healthcare Providers

38% call containment in 90 days for a regional healthcare provider — healthcare-safe conversational AI

Tier-1 call containment
38%

Tier-1 call containment

Average handle time on transferred calls
-24%

Average handle time on transferred calls

Kore.ai Agent Platform · Epic · Amazon Connect

Read the case study →Retail & Ecommerce

41% self-service containment for a national retailer — order status and returns on conversational AI

Containment on top-3 intents
41%

Containment on top-3 intents

CSAT
+0.5pt

CSAT

Kore.ai Agent Platform · Salesforce Commerce Cloud · Genesys Cloud

Read the case study →Healthcare Providers

Agent assist at a large healthcare provider — 22% AHT reduction with healthcare guardrails

AHT
-21%

AHT

First-contact resolution
+18%

First-contact resolution

Kore.ai Contact Center AI · Genesys Cloud · Epic

Read the case study →Financial Services

92 dialog flows migrated with zero client-facing outage at an investment management firm

Full cutover, 61 consolidated flows
14 wk

Full cutover, 61 consolidated flows

Client-facing outage minutes
0

Client-facing outage minutes

Kore.ai Agent Platform · Genesys Cloud · Salesforce Financial Services Cloud

Read the case study →
Case-study brief · Kore.ai · 6 pages

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.

  • 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

PDF · 6 pages · work email required

See all downloadable briefs →
Kore.ai implementation

Scope your Kore.ai program.

Tell us where you are today and a delivery lead from our Kore.ai practice replies within one business day with an indicative scope, timeline and fixed-price range — no discovery invoice required.

Prefer to book a slot? →
Explore next

Related capabilities and guides

Frequently asked

Questions buyers ask us first.

What do Kore.ai implementation services include?
Intent and journey design from real transcripts, Kore.ai Agent Platform virtual agent build, Contact Center AI agent assist and auto-summary, Search AI knowledge grounding, tool calls into your systems of record, guardrails and human-in-the-loop escalation, CCaaS integration with Amazon Connect, Genesys Cloud, NICE CXone or Five9, evaluation harness, agent enablement, cutover and hypercare.
How long does a Kore.ai implementation take?
A first production use case ships in 8–12 weeks; a full servicing portfolio runs 3–5 months in waves. A regional healthcare provider reached 38% call containment in 90 days on Kore.ai Agent Platform with Epic integration, and a national retailer reached 41% containment on Kore.ai over Genesys Cloud.
Can you migrate our existing bots onto Kore.ai?
Yes. We migrate from Five9 IVA, Dialogflow CX, Microsoft Copilot Studio, IBM watsonx Assistant and legacy IVR. Flows are inventoried and consolidated before they are rebuilt — we cut 92 Five9 dialog flows to 61 on Kore.ai for an investment management firm in 14 weeks with zero client-facing outage minutes and no gap in SEC/FINRA call recording.
How much does a Kore.ai implementation cost?
Implementation is fixed-price against a scoped intent, integration and knowledge inventory. Kore.ai licensing is negotiated separately on a conversation or session basis with add-ons for Contact Center AI and Search AI. We build the three-year TCO including CCaaS, telephony and AI consumption before you commit.
Does Kore.ai run on top of our existing contact center platform?
Yes — Kore.ai is deployed as an overlay on Amazon Connect, Genesys Cloud, NICE CXone or Five9 rather than a rip-and-replace. Agents keep their existing desktop; virtual agents sit in front of the queue and agent assist runs in a sidebar, so there is no console retraining.
How do you keep Kore.ai answers accurate and compliant?
Search AI grounds answers on maintained, entitlement-filtered sources instead of hard-coded flow content, with citation-backed responses. Guardrails cover PHI and PII redaction, authentication and step-up rules, hard escalation on clinical or fraud intents, and full audit journaling of every tool call.
Do you provide Kore.ai managed services?
Yes — intent and prompt tuning against live transcripts, knowledge freshness, tool and integration monitoring, release management, containment and CSAT reporting, 24/7 incident response against SLAs and quarterly value reviews against the business case.
How is a Kore.ai engagement priced and what drives the cost?
Implementation is fixed-price against a scoped intent, integration and knowledge inventory, while ongoing managed operations run as a monthly service tier sized to conversation volume and SLA coverage. The main cost drivers are how many intents and tool calls are in scope, how much legacy bot or IVR content must be migrated, and how deep the guardrail and audit requirements are.
How long does it realistically take to reach a first production release?
Most Kore.ai programs reach a first production use case in 8 to 12 weeks, starting with a pilot on one or two contained intents before wider rollout. A full servicing portfolio with multiple integrations typically runs 3 to 5 months, delivered in waves.
How does Kore.ai compare with Amazon Connect's or Genesys Cloud's native AI for a migration?
Kore.ai is typically the stronger choice when you need a platform-agnostic virtual agent and agent-assist layer that can overlay Amazon Connect, Genesys Cloud, NICE CXone or Five9 without replacing the underlying CCaaS, while each platform's native AI (Amazon Q, Genesys Cloud AI) is tightly coupled to that one CCaaS. We help you compare overlay flexibility, containment depth and existing platform investment before shortlisting a direction.
What does managed support for Kore.ai cover, including coverage hours?
Managed support covers intent and prompt tuning, Search AI knowledge freshness, tool-call and integration monitoring, and incident response, delivered under a documented SLA with 24x7 coverage available. Coverage hours and response targets are agreed in the statement of work to match your operating hours.
What does certified Kore.ai talent cost and where is delivery based?
Certified Kore.ai conversation designers and engineers are billed at a monthly per-person rate, with a standard notice period built into the service level agreement for ramp-down. Delivery talent is based across our Plainsboro, NJ headquarters, Hyderabad global delivery center, London and Dubai, supporting follow-the-sun coverage for global rollouts.

How we work

Engagement models that fit your program — advisory, build, run, or embedded 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 Partner · Generative AI Competency Partner
  • Microsoft — Gold partner
  • Kore.ai — Reseller and Strategic Implementation Partner
  • Genesys — Implementation partner
  • NICE CXone — Implementation partner
  • Five9 — Channel partner and Implementation partner
  • Salesforce — Consulting partner
  • Google Cloud — Select partner
  • OpenAI — Select 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 implementation team.

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

Schedule the session →Read the playbook