Engagement Methodology · Contact Center & CX

Modernizing a service desk on Amazon Connect.

Legacy on-premises contact centers fail in predictable ways: voice, email, and chat split across disconnected tools; every IVR or routing change requires a vendor ticket and an off-hours window; and leaders fly blind without real-time visibility by queue, channel, or segment. PEXIVA’s Amazon Connect methodology rebuilds the platform cloud-native — omnichannel routing, context-rich agent desktop, hybrid-ready, with in-house teams able to change flows in hours instead of weeks.

A note on methodology

Methodology, not fabricated case studies.

PEXIVA publishes engagement methodology rather than named client case studies. Most contact-center work is governed by NDAs that don’t permit public reference — and a real CX or operations leader gets more from interrogating the approach we’d actually run than from sanitized success stories. The scenario below is representative of an Amazon Connect modernization for a mid-market B2B software provider (roughly 250 agents across support, onboarding, and renewals; US/Canada with a growing EMEA footprint; hybrid workforce).

The outcome ranges shown are typical of Amazon Connect modernizations of this shape, not a claim about a specific client result. The framework is what we’d run on your engagement: phases, deliverables, principles, anti-patterns.

Typical situation

When organizations call us about CX modernization.

A 10-year-old on-premises contact center is constraining both customer and agent experience. Voice, email, and chat run on separate tools with no unified routing or reporting. Simple IVR or queue changes require vendor tickets and weekend maintenance windows. Leaders lack real-time visibility into demand by queue, channel, or segment. And the platform assumes agents sit in a physical center — which no longer matches a hybrid workforce. The mandate: move to a cloud-native platform, support secure work-from-anywhere agents, and reduce customer friction from hand-offs and repeated authentication.

Common signals

Recognize any of these? They’re the patterns that drive a CCaaS modernization:

  • Channels split across tools with no shared routing or reporting
  • Every routing/IVR change needs a vendor ticket and an off-hours window
  • No real-time view of demand by queue, channel, or segment
  • Platform assumes on-site agents; hybrid work is bolted on
  • Customers re-authenticate and repeat themselves across hand-offs
What success looks like

Six outcome categories we measure against.

Every engagement scoped against these six. Ranges shown are typical of Amazon Connect modernizations of this shape — targets we set and instrument, not guaranteed results.

// Handle time

Average handle time down ~10–15% in the primary support queue, from cleaner authentication flows and unified routing

// Agent throughput

~20–25% more contacts per day at the same headcount — fewer transfers, less screen-hopping between tools

// First contact resolution

Higher FCR where customer context and knowledge surface in the agent desktop, cutting repeat contacts

// Change velocity

IVR and routing changes that needed vendor tickets and weekend windows now deployed in-house in hours

// Self-service containment

A measurable share of routine contacts — order status, password resets, balance checks — resolved in IVR/IVA, with a clear path to a human at any point

// Operational visibility

Real-time dashboards in Amazon Connect and CloudWatch give supervisors live demand, queue health, and CSAT by segment — replacing day-old reports

Engagement Phases

Three phases. Real durations. Real deliverables.

The actual rhythm of a PEXIVA Amazon Connect engagement. Each phase ends with a decision gate — continue, adjust, or stop. We migrate in waves, never a big-bang cutover.

01
// Baseline & Target Design

Baseline & Target Design · 2-3 weeks

Activities: Map existing queues, skills, SLAs, and routing across voice, email, and chat. Identify self-service and callback quick-wins to relieve queue pressure. Design the target queue, routing, and agent-profile model in Amazon Connect, including contact attributes that carry context end-to-end.

Deliverables: Current-state routing map. Target Connect design (queues, routing profiles, contact attributes). Self-service candidate list. Wave migration plan.

02
// Build, Integrate & Pilot

Build, Integrate & Pilot · 4-8 weeks

Activities: Deploy a multi-AZ Amazon Connect instance with core queues, routing profiles, and contact flows. Integrate the CRM as system of record (e.g., Salesforce via the Connect CTI adapter / Streams API) so calls and chats pop with full context. Lambda-backed IVR for authentication and entitlement checks. Post-contact CSAT surveys with low-score alerts to supervisors. Pilot with a subset of agents to validate quality, routing, and reporting before scaling.

Deliverables: Working Connect instance (piloted). CRM screen-pop integration. IVR auth/entitlement flows. CSAT survey + alerting. Pilot validation report.

03
// Phased Migration & Optimize

Phased Migration & Optimize · 8-16 weeks, then ongoing

Activities: Migrate queues in waves by business line and geography. Simplify and consolidate legacy IVR trees while preserving necessary controls. Build real-time dashboards in Amazon Connect and CloudWatch for operations leaders. Tune routing, overflow, and self-service using CSAT data and call-reason analysis. Train in-house teams to own flow and routing changes.

Deliverables: Queues migrated per wave. Consolidated IVR. Real-time operations dashboards. Tuned routing/self-service. Trained in-house admins + runbooks.

Principles we hold

Five non-negotiables across every phase.

  • Waves, never big-bang — migrate by business line and geography with a rollback path
  • Context carried end-to-end — contact attributes and CRM pop so customers don’t repeat themselves
  • Self-service that always has an exit — customers can reach an agent at any point
  • In-house ownership before handoff — your team changes flows and routing, not a vendor ticket
  • Closed-loop CSAT — post-contact surveys feed structured data and low-score follow-up

Anti-patterns we refuse

Patterns that produce the failures we’ve seen too often. We won’t structure an engagement this way, even if asked:

  • Big-bang cutover of every queue on one weekend
  • Lifting the old IVR tree verbatim instead of simplifying it
  • Self-service with no clear path to a human
  • Leaving the client dependent on us for every routing change
Ready to scope an engagement?

Tell us about your contact center modernization trigger.

A 1-hour working session with our senior team. We’ll walk the Amazon Connect methodology through your specific situation. You leave with a written summary of findings and options whether we engage or not.

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