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

Read →
8–14 wk — Typical stand-up to first BU
Slide 1 of 3
8–14 wk
Typical stand-up to first BU
+35%
Self-service containment
Native
BigQuery + Vertex AI
-25%
AHT with Agent Assist
Certified partner platforms
  • Google CCAI platform logo
The enterprise challenge

For AI-first CX leaders, Google's data + model stack is the differentiator.

Enterprises standardizing on Google Cloud want a CCaaS that natively taps Gemini, Vertex AI and BigQuery — not one that bolts AI on afterwards.

  • Dialogflow CX virtual agents
    Enterprise-grade conversational flows with generative fallback and multimodal support.
  • Gemini-powered Agent Assist
    Real-time transcription, summarization and knowledge suggestions grounded in your content.
  • CCAI Insights + BigQuery
    100% conversation analytics on the same warehouse your data team already runs.
Capabilities

Full-lifecycle Google CCAI Platform services.

01
Design & implementation

CCAI Platform tenant, routing, digital channels, CRM integration and Google Cloud identity.

02
Dialogflow CX build

Generative and deterministic flows, playbooks, tool calling and Vertex AI grounding.

03
Agent Assist (Gemini)

Real-time assist, transcript, summarization and next-best-action in the agent desktop.

04
CCAI Insights

100% call and chat analytics on BigQuery with custom topic and intent models.

05
Vertex AI grounding

RAG on your knowledge base with permission-aware retrieval and audit trails.

06
Managed operations

Platform, model and analytics operations under one SLA.

Google CCAI-certified talent

Need certified Google CCAI talent?

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

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

Google Cloud estate and AI readiness.

02
Design

Target CCAI architecture and data flows.

03
Pilot

One BU on CCAI Platform in parallel.

04
Implement

Phased rollout with reporting parity.

05
Scale

BUs, regions, languages, channels.

06
Operate

Managed CCAI + Vertex AI operations.

Where it lands

Use cases already in production with enterprise clients.

Dialogflow CX virtual agent rollout

Voice and digital self-service with generative fallback and CRM tool calling.

Agent Assist with Gemini

Live transcript, summarization and next-best-action grounded in your knowledge base.

CCAI Insights on BigQuery

100% conversation analytics with custom topic models and executive dashboards.

Regulated-industry deployments

VPC-SC, CMEK and data residency configured for banking, healthcare and public sector.

Industry patterns

Industries where this ships fastest

  • Financial Services
  • Healthcare Providers
  • Insurance
  • Health Payers
  • 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.

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

Scoping a Google CCAI Platform 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.

platformGoogle CCAI Platform — routed to this team

Prefer to book a slot? →
Explore next
Frequently asked

Questions buyers ask us first.

Can we migrate from a legacy CCaaS to Google CCAI Platform?
Yes — we run phased migrations with parallel operations, keeping IVR, routing and reporting continuity through cutover.
How does Google CCAI compare to Amazon Connect or Genesys?
For enterprises standardized on Google Cloud, Vertex AI and BigQuery, CCAI is usually the fastest path to production AI; we help evaluate honestly when it isn't.
Which LLMs power Agent Assist?
Gemini models on Vertex AI, with grounding on your knowledge base and enterprise-grade governance and audit trails.

How we work

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

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 google ccai platform team.

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