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

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-30–50%
TCO vs legacy CCaaS
Elastic
Scale up/down per contact volume
Native
AWS security & data model
6–12 wk
Typical go-live
Certified partner platforms
  • Amazon Connect logo
The enterprise challenge

Amazon Connect flexibility is a feature — and a design responsibility.

Contact flows, Lambda glue, Lex bots, Q assist and Bedrock all compose freely. That's power. Without an opinionated architecture, teams build a snowflake that's expensive to run.

  • Architecture-first
    Flow structure, Lambda patterns, data-lake integration and Q strategy need to be decided up front.
  • AWS-native AI stack
    Amazon Q, Bedrock and Contact Lens are moving fast — the roadmap is a first-class input to the design.
  • Cost engineering
    Pay-per-use is only a savings if flows, Lambdas and storage are engineered for cost.
Capabilities

End-to-end Amazon Connect services.

01
Design & implementation

Flow design, routing, Lambda patterns, agent desktop and CRM CTI integration.

02
Migration to Amazon Connect

Migrations from Cisco, Avaya, Genesys, Five9 and legacy PBX with a phased rollout.

03
Amazon Q for Connect

Real-time agent assist grounded in enterprise knowledge, deployed and tuned.

04
Bedrock + generative AI

Voice AI, digital agents and back-office agents built on Bedrock with governance.

05
Contact Lens & analytics

Speech analytics, sentiment, PII redaction and analytics pipelines on Kinesis + Redshift.

06
Managed operations

24x7 platform ops with cost, quality and AI evaluation baked in.

Amazon Connect-certified talent

Need certified Amazon Connect talent?

Deploy specialists who have delivered Amazon Connect 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

AWS estate, flows, cost, AI opportunity.

02
Design

Reference architecture and Q/Bedrock plan.

03
Pilot

One flow, one Bedrock use case, live.

04
Implement

Full rollout with integration and analytics.

05
Scale

Queues, regions, languages, use cases.

06
Operate

Managed Amazon Connect operations.

Where it lands

Use cases already in production with enterprise clients.

AWS-native voice AI

Voice agents on Bedrock with in-flow authentication and DynamoDB-backed transactional workflows.

Amazon Q for Connect at scale

Grounded agent assist across product, policy and playbook knowledge with citations.

Migration from legacy PBX

Consolidation from Avaya or Cisco to Amazon Connect with phased migration and parallel operations.

Contact Lens-driven QA

Automated quality management on 100% of interactions with executive dashboards.

Industry patterns

Industries where this ships fastest

  • Healthcare Providers
  • Health Payers
  • Retail & Ecommerce
  • BPO
  • Insurance
  • Financial Services
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 →
Frequently asked

Questions buyers ask us first.

Do we need to be all-in on AWS?
No — Amazon Connect works well in mixed-cloud environments; we integrate with Salesforce, Dynamics, ServiceNow and other clouds routinely.
How do you keep costs predictable?
Cost engineering at design time: flow patterns, Lambda architecture, storage tiers and Bedrock model choice — with monthly FinOps reviews in managed ops.
How mature is Amazon Q for Connect for enterprise use?
Very — with the right knowledge design, governance and evaluation, it's production-ready today for large enterprise agent populations.
Next step

Book a working session with our amazon connect team.

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