Gemini Enterprise for CX (GECX)
Strategy and hands-on build on Google's Gemini Enterprise for Customer Experience — generative agents, grounding, and the move from deterministic flows to agentic reasoning.
Consulting
Forward-deployed engineering for conversational AI.
We don't hand you a deck and leave. VTC embeds with your team as Forward Deployed Engineers (FDEs) — architecting, building and shipping conversational AI into production on the Google Contact Center AI stack, and across Genesys, Amazon Connect and NICE.
Deep on the Google CCAI stack
Where we go hands-on.
Gemini Enterprise is Google’s enterprise agent platform; Gemini Enterprise for Customer Experience (GECX) is the customer-experience application of it we build on. We work across both, plus Dialogflow CX and the wider Contact Center AI suite.
Dialogflow CX (DFCX)
Flow and agent design, intent modeling, webhooks and system integration — the deterministic backbone, done right and built to scale.
Contact Center AI (CCAI) & CES
Agent Assist, CCAI Insights and the Customer Engagement Suite (CES) — tying automation, agent copilots and analytics into one operating picture.
Knowledge & RAG grounding
Retrieval over your policies and data so agents stay accurate, current and auditable — the difference between a demo and something you can put in front of regulators.
Platform-neutral too:Genesys CloudAmazon ConnectNICE
How we engage
From architecture to production — and the running afterward.
- Architecture & strategy — target state, platform selection, and a realistic path from pilot to production.
- Agent design & build — intents, flows, generative playbooks, guardrails and tool/action integration.
- Modernization & migration — legacy IVR and rules-based bots onto Google CCAI or your platform of choice.
- System integration — CRM, core, case and telephony, with secure, auditable actions.
- Optimization — containment, resolution and cost-to-serve tracked and tuned against real traffic.
- FDE augmentation — senior forward-deployed engineers embedded alongside your team.
Why forward-deployed
An AI project doesn't fail because the model was bad. It fails because no one stayed to ship it. We stay.
Senior, hands-on
You work with the architect writing the code — 25 years of enterprise conversational AI, not a junior bench.
Production-first
Every engagement is aimed at something live, integrated and measured — not another pilot that stalls.
Knowledge transfer built in
We leave your team able to run and extend what we built — and we can train them (see Training).
Have a stalled build, a migration, or a platform decision?
Tell us where you're stuck on the Google CCAI stack — or any contact-center platform — and we'll bring forward-deployed help.
Book a consultation