Application Integration
    🔗Application Integration

    Amazon Connect

    Cloud-based AI-powered contact center for voice, chat, and SMS at any scale

    Running a call center used to mean buying expensive on-premises phone hardware, paying per-seat software licenses, and waiting months for IT to provision new agents. Amazon Connect is a cloud-based contact center you can set up in an afternoon. You log into a browser, claim a phone number, build a call flow using a drag-and-drop flowchart (press 1 for billing, press 2 for support), and agents answer calls in their own browser from anywhere with a headset. You pay per minute of call time, not per agent seat. When call volume spikes during a product recall or open enrollment season, you add agents the same day with no hardware changes. Connect handles voice calls, web chat, and SMS in one place. It integrates AWS AI services so a Lex chatbot can handle simple questions before a human gets involved, and Contact Lens transcribes every call and flags conversations where a customer became frustrated.

    Connect is built around contact flows: visual flowcharts that define every step of a customer interaction from IVR prompt to queue to agent connection. Routing profiles assign agents to specific queues with priority and concurrency settings (one agent can handle 3 simultaneous chats). Contacts arrive via claimed DID or toll-free numbers, a web chat widget, or SMS. Lambda functions inject real-time data into flows, such as pulling a customer account record before routing to the right team. Kinesis streams all contact events for analytics. Contact Lens provides real-time transcription, sentiment scoring, and category tagging on every call at no additional cost. Pricing is per agent per month plus per-minute telephony.

    Key Capabilities

    • Omnichannel: voice, web chat, SMS, and task management in a single agent workspace
    • Contact flows: drag-and-drop visual editor for designing IVR menus, routing logic, and automation steps
    • Native Lex integration for conversational IVR and chatbot deflection before reaching a human agent
    • Contact Lens: real-time and post-call transcription, sentiment analysis, and automatic PII redaction at no extra charge
    • Pay per active agent per month plus per-minute telephony; no per-seat license fees
    • Scales from 1 to thousands of concurrent agents with no pre-provisioning required

    Gotchas & Constraints

    Gotcha #1: Connect instances are region-locked. Phone numbers and agent state do not replicate across regions automatically; cross-region failover requires deliberate architecture using Lambda and Route 53 health checks. Gotcha #2: Contact flows have a 100-block limit per flow. Complex IVRs must be split into modular flows using Invoke a published module blocks or they silently hit the ceiling. Constraints: Default limit of 100 queues per instance; raise via AWS Support.

    A regional insurance company runs a contact center with 120 agents handling 8,000 calls per day on an Avaya PBX nearing end-of-life. Adding new agent seats requires a 6-week hardware procurement cycle. During open enrollment (November to December), call volume triples to 24,000 per day and the company historically hires temporary staff months in advance. They migrate to Connect over 8 weeks. Agents use a Chrome browser and a $25 USB headset. On launch day all 120 agents are live. During open enrollment, 80 temporary agents are onboarded in a single day: accounts created, routing profiles assigned, 2-hour browser-based training complete. A Lex bot handles common questions about deductibles and policy dates, deflecting 22% of inbound calls before they reach an agent. Contact Lens flags 14 calls in real time where customer sentiment turned sharply negative, which supervisors review and call back the same afternoon.

    The Result

    6-week seat provisioning cycle eliminated, 22% call deflection saving approximately $180,000 annually in agent hours, and same-day scaling during peak enrollment with zero hardware changes.

    Official AWS Documentation