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Genesys · Implementation

Launch Genesys Cloud CX in 90 days. Fixed price.

Genesys-certified pods design, build and launch a greenfield Genesys Cloud CX contact center — voice, digital, WEM, Agent Copilot and AI Experience wired into your CRM and identity stack.

90 days
Fixed-price launch to production
Any CRM
Salesforce, Dynamics, ServiceNow, custom
Gold
Genesys Cloud Certified Partner delivery
Role-specific
Why teams book Implementation with Pronix
  • 90 days — Fixed-price launch to production
  • Discovery & target architecture
  • Build wave
  • Cutover & measurement
Book your working session

30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.

Trusted by enterprise CX & digital teams
  • Genesys Cloud CX
  • Agent Copilot
  • AI Experience
  • Bot Flows
  • Salesforce
  • Microsoft Dynamics
What you get

A working pilot in 90 days — not a 40-page slide deck.

01
Discovery & target architecture

We map current routing, IVR, agent workflows, WEM and integrations — then design the Genesys Cloud CX target with Copilot, AI Experience and predictive routing where they earn ROI.

02
Build wave

Architect flows, Bot Flows, data actions, WEM configuration, CRM screen-pops and AI Experience models built and tested — promoted through environments via CX as Code.

03
Cutover & measurement

Number porting, agent training, contained production launch, hypercare and a KPI dashboard wired to containment, CSAT, AHT and cost-per-contact.

Proof

We launched Genesys Cloud CX with Agent Copilot for 2,400 agents in 12 weeks and cut AHT 18% in the first quarter.

SVP Customer Care — Healthcare payer
2,400 agents · 18% AHT cut · Copilot at go-live
How we deliver

The delivery artifacts you get, named up front.

Every Genesys Cloud CX 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 Genesys Cloud CX 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.

FAQ

Questions buyers ask us first.

What does 'fixed price' actually include?
Discovery, target architecture, Architect and Bot Flows, data actions, WEM, CRM screen-pops, Agent Copilot, AI Experience models, number porting, agent training, launch and 30 days of hypercare.
Which CRMs do you integrate with?
Salesforce Service Cloud, Microsoft Dynamics 365, ServiceNow, Zendesk and custom CRMs via Genesys Cloud Embeddable Framework or premium connectors.
Do you configure WEM (WFM + QM) on day one?
Yes. Forecasting, scheduling, adherence and AI-powered Quality Management ship live at go-live, tuned on your rubric and staffing rules.
Can we run in parallel with our legacy platform?
Yes. We route by DNIS, skill or geography so you can migrate queues in supervised waves without a big-bang cutover.
How do you handle AI Experience and Copilot governance?
Every deployment ships with topic-scope guardrails, PII masking, knowledge grounding and a governance model reviewed with your risk team pre-launch.

Ready to see it in your stack?

30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.

Book a 30-min working session
Book a 30-min working session