How long does a contact center AI pilot take?

Eight to twelve weeks from kickoff to live traffic for two or three intents, including telephony integration, guardrails and an evaluation harness.

Do you have to migrate CCaaS platforms first?

No. Agent assist, automated quality and conversation analytics can be layered onto an existing platform; migration is only recommended when the current estate blocks the target automation.

How is contact center AI ROI measured?

Containment rate on automated intents, AHT reduction on assisted calls, QA coverage percentage and cost per contact — each compared to the pre-pilot baseline.

What does contact center AI consulting include?

Baseline analytics, intent mining, use-case prioritization, platform and vendor selection, target architecture, business case, and a delivery plan that names the first automations, their owners and the metrics they move.

How much do contact center automation services cost?

Most programs start with a fixed-scope pilot covering two to four intents, then scale per intent or per channel. Ongoing costs are platform licensing plus managed services; we model both against deflection and handle-time savings before you commit.

How long does a CCaaS migration take?

Typically 8–16 weeks for a single business unit and 4–9 months for a global, multi-region estate. The variable is integrations and reporting parity, not the telephony itself.

Do you provide CCaaS managed services after go-live?

Yes. A named pod runs release management, integration monitoring, quality calibration, intent tuning and reporting against published SLAs, with monthly business reviews.

Which CCaaS platforms do you support?

NICE CXone, Genesys Cloud CX, Amazon Connect, Five9, Google CCAI, Salesforce Agentforce and Microsoft Dynamics 365 Contact Center — the same delivery model across all of them.

CX & Contact Center

Contact center AI consulting and CCaaS modernization services.

Pronix is a contact center AI consulting partner for the enterprise. We deliver contact center automation services, CCaaS migration services and CCaaS modernization services across NICE CXone, Genesys Cloud CX, Amazon Connect, Five9 and Google CCAI — voice AI, agent assist, automated quality and analytics — then run them as CCaaS managed services with measurable containment, handle-time and CSAT targets.

Schedule a strategy session See reference architectures

CX & Contact Center solutions from pronix.ai — enterprise implementation, platforms, and managed operations. — One team for CX strategy, contact-center engineering and AI — so implementations don't split across three vendors and three roadmaps.

How we deliver

Assess → Design → Pilot → Implement → Scale → Operate.

One delivery model that moves from strategy to production without handoffs — with managed operations built in.

See how we deliver

Implementation · CX & Contact Centerphased delivery

Assess

CX audit, tech stack review, opportunity map.

wk 1

Design

Target CX, journeys, CCaaS architecture.

wk 3

Pilot

Voice or digital pilot with measurable KPIs.

wk 5

Implement

Production build, integration, migration.

wk 7

Scale

Rollout across queues, regions, languages.

wk 9

Operate

Managed CCaaS and AI operations.

wk 11

40–70%

Self-service containment

25%+

AHT reduction with agent assist

100%

Interactions covered by AI QA

8–20 wk

Typical CCaaS go-live

The enterprise challenge

Legacy contact centers can't ship AI at the pace CX needs.

Modernization stalls when CCaaS migration, CRM integration and AI are treated as three separate programs. We collapse them into one delivery model with shared architecture and shared KPIs.

Channel sprawl
Voice, chat, email, WhatsApp, social — each on its own routing, its own reporting, its own knowledge.
AI bolted onto legacy IVR
Bots without state, without CRM context, without a handoff — customers repeat themselves and CSAT drops.
QA covering 3% of calls
Manual quality can't keep up with volume. Compliance risk and coaching opportunities are both invisible.

Capabilities

An integrated CX + Contact Center + AI capability set.

CX strategy & journey design

Journey mapping, channel strategy, and CX operating model tied to measurable business outcomes.

Voice AI

Natural, low-latency voice agents that handle authentication, intent capture and transactions with warm handoff.

Conversational AI

Digital channels — web, mobile, WhatsApp, RCS — with unified intent, context and knowledge.

Agent Assist

Real-time knowledge, next-best-action and after-call summary embedded in the CCaaS desktop.

Automated Quality

Score 100% of interactions, surface coaching opportunities and detect compliance risk automatically.

Contact-center analytics

Speech, text and behavioral analytics with dashboards for ops, quality and executive leadership.

Knowledge AI & RAG for Contact Centers | pronix.ai

Governed retrieval from product docs, policies and playbooks for both self-service and agent assist.

CCaaS implementation

Design, migration and go-live across Dynamics 365 CCaaS, Amazon Connect, Genesys, NICE, Five9, Salesforce Agentforce and Google CCAI.

Conversation lifecycle

Every conversation — voice or digital — runs the same six-stage loop.

Detect → Authenticate → Retrieve → Act → Resolve → Summarize. Each stage has explicit controls so voice AI, agent assist and automated QA plug into one operating model.

Detect

Identify intent across voice and digital with unified NLU, sentiment and language detection.

Intent model
Language detect
Sentiment
Channel context

Authenticate

Verify the customer with voice biometrics, OTP or federated SSO before any transaction.

Voice biometrics
OTP / step-up
SSO / KYC
Consent capture

Retrieve

Ground the conversation in governed knowledge and system-of-record data with citation and access control.

Governed RAG
CRM lookup
Order / policy data
Citations

Act

Execute transactions through scoped tool connectors — billing, scheduling, order and case actions.

Scoped tools
Per-action auth
Idempotency
Audit trail

Resolve or escalate

Complete the intent, or warm-transfer to a live agent with full context, transcript and next-best-action.

Warm handoff
Context payload
NBA to agent
Screen pop

Summarize & QA

Auto-summarize, code the disposition, and score 100% of interactions with automated quality and compliance detection.

Auto-summary
Disposition
Automated QA
Compliance flags

Trust & compliance spine

One policy layer across every stage — voice and digital.

Consent, redaction, residency and human oversight are enforced inside the conversation runtime — not in a separate ops process.

PII redaction & masking
Consent & recording rules
Regional data residency
Real-time policy guardrails
Human-in-the-loop escalation

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.

Assess

CX audit, tech stack review, opportunity map.

Design

Target CX, journeys, CCaaS architecture.

Pilot

Voice or digital pilot with measurable KPIs.

Implement

Production build, integration, migration.

Scale

Rollout across queues, regions, languages.

Operate

Managed CCaaS and AI operations.

Where it lands

Use cases already in production with enterprise clients.

Voice self-service that resolves, not deflects

Authenticated, transactional voice agents that finish the job — not just gather intent and route.

Agent Assist in the flow of work

Live knowledge, guided workflows, next-best-action and after-call summarization embedded in the CCaaS desktop.

100% automated quality

Score every interaction across compliance, empathy, resolution and adherence — with coaching insights for team leaders.

CCaaS migration

Move from legacy PBX or a lift-and-shift CCaaS deployment to a modern, AI-native contact center in weeks, not quarters.

Runs on

Partner platforms we implement

Explore platform capabilities →

Industry patterns

Industries where this ships fastest

Healthcare Providers
Health Payers
Retail & Ecommerce
BPO
Insurance
Financial Services

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.

Not sure where to start? Score your organization in 10 minutes.Take the AI Readiness Assessment →

Quick answer

What does contact center AI consulting actually deliver?

Contact center AI consulting scopes, builds and operates automation across a CCaaS estate: self-service containment, agent assist, automated quality and analytics. A credible engagement starts with a containment and AHT baseline, picks two or three intents worth automating, and ships a measured pilot in 8–12 weeks before any platform migration is committed.

Last reviewed 2026-08-05

Baseline before build

Pronix starts every contact center program by measuring current containment, average handle time, transfer rate and cost per contact by intent. Without that baseline, automation savings cannot be attributed and business cases do not survive finance review.

Platform-independent shortlist

We implement on Amazon Connect, Genesys Cloud, NICE CXone, Five9, Salesforce Agentforce, Google CCAI and Kore.ai. Because we hold partnerships across the category, the recommendation is driven by intent mix, integration surface and total cost — not a single vendor's roadmap.

Pilot, then scale

The first release targets the highest-volume intents on live traffic with explicit acceptance criteria: containment lift, escalation quality and CSAT floor. Scale decisions follow the measured result rather than a projected one.

Contact center automation services

Our contact center automation services target the intents that consume the most handle time: authentication, order and claim status, billing, scheduling and account changes. We instrument the current baseline first, automate the top intents end-to-end against your systems of record, then expand coverage using containment and repeat-contact data rather than guesswork.

Intent mining from real transcripts
Voice and digital automation on one intent model
After-call work and disposition automation

CCaaS migration services

CCaaS migration services move you off legacy premise or first-generation cloud platforms without a big-bang cutover. We inventory routing, IVR, integrations, reporting and workforce configuration, rebuild them on the target platform, and run parallel pilots by queue or region so business continuity is never a leap of faith.

Discovery and configuration inventory
Queue-by-queue parallel cutover
Reporting and WFM parity before go-live

CCaaS modernization services

Already on cloud but not getting the value? CCaaS modernization services rebuild the layers that were skipped: unified intent, entitlement-aware knowledge, CRM context on every interaction, journey-level routing, and analytics leaders actually trust — so AI has something solid to sit on.

Journey and channel redesign
Knowledge and CRM context wiring
Analytics and quality re-platforming

CCaaS managed services

Our CCaaS managed services keep the platform and the AI healthy after go-live: release management, model and prompt tuning, intent and containment reviews, quality calibration, integration monitoring and a named delivery pod with SLAs — priced as an operating capability, not a bag of hours.

Named pod with published SLAs
Monthly containment and quality reviews
Continuous model, prompt and routing tuning

Talk to us

Book a contact center AI assessment

Bring your current CCaaS estate, volumes and containment targets. You leave with a prioritized automation plan and a defensible cost model.

Containment and AHT baseline review
Platform fit and migration risk
90-day automation roadmap

Book a contact center AI consultation See a live agent assist demo Contact the team

Explore next

Related capabilities and guides

Frequently asked

Questions buyers ask us first.

What does contact center AI consulting include?: Baseline analytics, intent mining, use-case prioritization, platform and vendor selection, target architecture, business case, and a delivery plan that names the first automations, their owners and the metrics they move.
How much do contact center automation services cost?: Most programs start with a fixed-scope pilot covering two to four intents, then scale per intent or per channel. Ongoing costs are platform licensing plus managed services; we model both against deflection and handle-time savings before you commit.
How long does a CCaaS migration take?: Typically 8–16 weeks for a single business unit and 4–9 months for a global, multi-region estate. The variable is integrations and reporting parity, not the telephony itself.
Do you provide CCaaS managed services after go-live?: Yes. A named pod runs release management, integration monitoring, quality calibration, intent tuning and reporting against published SLAs, with monthly business reviews.
Which CCaaS platforms do you support?: NICE CXone, Genesys Cloud CX, Amazon Connect, Five9, Google CCAI, Salesforce Agentforce and Microsoft Dynamics 365 Contact Center — the same delivery model across all of them.

Next step

Book a working session with our cx & contact center 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