Amazon Connect implementation services for enterprise contact centers.
AWS-certified pods design, build, migrate and run Amazon Connect — contact flows as code, Contact Lens analytics, Amazon Q in Connect agent assist and Lex self-service, wired into your CRM, WFM and identity stack.
Figures are from named pronix.ai Amazon Connect programs linked in the proof section below.
Why Amazon Connect programs stall.
The platform is straightforward to stand up and hard to land at enterprise scale. The failure modes are consistent across the migrations we inherit.
- Lift-and-shift of legacy IVRTeams port 400 flows built for a premise switch instead of rationalizing them, carrying a decade of dead branches into a cloud platform.
- Integration debt underestimatedCTI, screen pop, WFM feeds, dialer, payment capture and case creation all touch the flow layer — and each one is discovered late.
- Reporting parity gapOps leaders lose the metrics they run the floor on because historical reporting, real-time dashboards and Kinesis streams were not designed up front.
- AI bolted on after cutoverContact Lens, Q in Connect and Lex get deferred to phase two, so the business case rests on licence savings alone.
What we implement.
One accountable team from architecture through hypercare and run.
Connect instance, routing profiles, security profiles and integrations codified in CDK or Terraform with dev/test/prod promotion and change control.
Journey-led flow redesign that typically consolidates 30–50% of legacy IVR paths, with modular flows and reusable Lambda tooling.
Voice and chat bots for tier-1 intents — order status, eligibility, balance, scheduling — with intent tuning against real transcripts and containment targets.
Real-time and post-call analytics, sentiment, redaction, category rules, plus Kinesis streaming into your warehouse for QA and WFM.
Grounded real-time guidance and answers from your knowledge base, with citation control, entitlement filtering and adoption measurement.
Wave-based migration off Avaya, Cisco, Genesys or Five9 with number porting, parallel run, rollback plan and hypercare command centre.
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.
Flow, integration, telephony and reporting inventory with rationalization plan.
Target design, AWS landing zone, security model and IaC blueprint.
Flows, Lex bots, Lambda integrations, CTI, Contact Lens rules and dashboards.
One queue or site live with reporting and WFM parity proven.
Wave-based porting and go-live with rollback and command centre.
Hypercare, managed changes, AWS cost optimization and quarterly value review.
Use cases already in production with enterprise clients.
Retire premise telephony before a maintenance renewal without losing routing logic or floor reporting.
Unify sites and outsourcers onto one Connect instance with consistent routing, QA and analytics.
Move tier-1 intents to Lex voice and chat with measured containment and clean escalation to agents.
Deploy Q in Connect over existing knowledge to cut handle time and onboarding ramp.
Pronix service lines
Industries where this ships fastest
- Retail & Ecommerce
- Insurance
- Healthcare Providers
- Financial Services
- BPO
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.
Model the business case before you commit.
Free, ungated models with conservative, expected and aggressive scenarios — plus a branded PDF you can take to finance.
- CCaaS migration TCO calculatorModel licence, telephony and run cost before you commit to a cutover.
- Voice AI cost per minuteCompare containment economics against agent-handled minutes.
- Contact center AI ROISize AHT, deflection and QA gains across your call mix.
The delivery artifacts you get, named up front.
Every Amazon Connect 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.
- 01
Reference architecture
A signed-off Amazon Connect 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Amazon Connect delivery, measured in production.
Live Amazon Connect programs we designed, built and cut over — with the outcomes the client reported after go-live.
90-day cutover from legacy IVR to Amazon Connect at a national retailer
- Legacy IVR to live on Amazon Connect
- 90 days
- AHT
- -28%
Legacy IVR to live on Amazon Connect
AHT
Amazon Connect · Amazon Q · Salesforce Service Cloud
Read the case study →Insurance1,800-agent contact center cutover in six months at a P&C insurer — zero claims disruption
- Legacy Avaya to Amazon Connect, 3 sites
- 6 months
- AHT on FNOL calls
- -31%
Legacy Avaya to Amazon Connect, 3 sites
AHT on FNOL calls
Amazon Connect · Amazon Q · Guidewire ClaimCenter
Read the case study →BPOMultilingual voice AI across a global BPO — six languages, four programs
- Containment on tier-1 intents
- 34%
- QA coverage across programs
- 100%
Containment on tier-1 intents
QA coverage across programs
Amazon Connect · Amazon Lex · Kore.ai · Azure AI Foundry
Read the case study →Amazon Connect programs, delivered and measured
Greenfield builds, Avaya and Cisco migrations, Contact Lens, Amazon Q in Connect and Lex — with the outcomes each client reported after go-live.
- Four production Amazon Connect programs with measured outcomes
- Migration approach from Avaya and Cisco, including cutover protocol
- The AWS services in each build — Lex, Contact Lens, Amazon Q, Bedrock
- A 90-day delivery sequence and the run model after go-live
PDF · 6 pages · work email required
See all downloadable briefs →Scope your Amazon Connect program.
Tell us where you are today and a delivery lead from our Amazon Connect practice replies within one business day with an indicative scope, timeline and fixed-price range — no discovery invoice required.
Related capabilities and guides
- Amazon Connect platform overviewCapabilities, AI services and licensing model.
- Genesys Cloud vs Amazon ConnectWhere each platform wins on cost and AI depth.
- CCaaS migration TCO calculatorThree-year cost of the cutover, modelled.
- voice AI implementation servicesLex self-service and containment design.
- Amazon Connect managed servicesRun-state ownership after go-live.
Questions buyers ask us first.
- What do Amazon Connect implementation services include?
- Discovery and target architecture, contact-flow and routing design, Amazon Lex self-service, Contact Lens analytics, Amazon Q in Connect agent assist, CRM and identity integration, telephony porting, agent enablement, UAT, cutover and 30 days of hypercare. Everything is delivered as infrastructure-as-code so environments are reproducible.
- How long does an Amazon Connect implementation take?
- A focused greenfield deployment runs 8–12 weeks. A multi-site migration off Avaya, Cisco or Genesys typically runs 4–6 months depending on integration debt and the number of IVR flows. Our national retailer cutover went from legacy IVR to live on Amazon Connect in 90 days, and a P&C insurer moved 1,800 agents across three sites in six months.
- How much does an Amazon Connect implementation cost?
- Implementation is fixed-price against a defined scope; most enterprise programs land between a focused single-queue launch and a multi-site migration with 15+ integrations. AWS platform cost is consumption-based — per-minute telephony and per-use AI features — so we model it against your call volumes before you sign anything. Use the CCaaS ROI calculator for an outside-in estimate.
- Can you migrate us from Avaya, Cisco or Genesys to Amazon Connect?
- Yes. We inventory every IVR flow, queue, routing rule and integration, rationalize them (most estates consolidate 30–50% of flows), then run a wave-based cutover by queue or site with rollback at each wave. Reporting parity and WFM feeds are proven in the pilot wave before any production traffic moves.
- Do you deploy Amazon Connect into our AWS account?
- Always. The Connect instance, Lambda integrations, Lex bots, Contact Lens rules and Kinesis streams live in your AWS account under your controls, deployed via CDK or Terraform with environment promotion. You own the estate on day one; there is no vendor lock to us.
- How do you handle compliance — HIPAA, PCI and recording rules?
- We scope PII/PHI handling per flow, use Contact Lens redaction and secure input for card capture, enforce KMS encryption and retention policies on recordings and transcripts, and produce the evidence pack your risk team needs. HIPAA-eligible service configuration is part of the build, not an afterthought.
- Do you support Amazon Connect after go-live?
- Yes — managed services cover flow changes, Lex intent tuning, Q in Connect knowledge maintenance, release management, AWS cost optimization and 24/7 incident response against SLAs, with quarterly value reviews against the original business case.
How we work
Engagement models that fit your program — advisory, build, run, or embedded pods.
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) · LATAM · EMEA
- Engagement model
- Fixed-scope implementation, managed run and staff augmentation
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
- NICE CXone — Implementation partner
- Five9 — Implementation partner
- Kore.ai — Solution partner
- Salesforce — Consulting partner
Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →
Book a working session with our amazon connect implementation team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.