How a UK Regulated Contact Centre Reduced Handle Time by 40% with Amazon Connect AI Voice Agents

Arkadas Kilic 10 min read · 2026-04-15

Rel8 CX is an AWS Advanced Partner that builds autonomous AI voice agents for regulated contact centres. This post documents a production deployment for a UK financial services firm: the architecture we used, the compliance controls we built in, and the specific numbers from the first 90 days in production.

If you're evaluating Amazon Connect AI for a regulated environment, this is what a real build looks like.

Who Is Asking This Question?

Rel8 CX. We build production AI voice agents on Amazon Connect for financial services, collections, insurance, and utilities firms operating under FCA, PRA, and ICO frameworks. We go from scoping to production in 4 to 6 weeks. Not a pilot. Not a proof of concept. Production.

The Starting Point

The client was a UK-regulated debt management firm handling roughly 18,000 inbound calls per month. Their contact centre ran on a legacy IVR with 14 menu options. Average handle time sat at 7 minutes 23 seconds. Agent utilisation was at 91%, which sounds efficient until you realise it meant agents had no breathing room between calls and were burning out.

Three specific problems drove the project:

1. Agents were spending 2 minutes 40 seconds per call on identity verification and account lookup before any meaningful conversation started.

2. Payment arrangement calls, which made up 34% of volume, followed a near-identical script every time. Agents were doing manual work a machine could do.

3. The firm was under FCA scrutiny for call quality and needed better audit trails. Their legacy system logged outcomes but not the full interaction context.

The brief was direct: reduce handle time, automate payment arrangement calls, and make every interaction fully auditable without rebuilding the entire operation.

Why Amazon Connect

This is worth addressing because it's the question we get asked most in regulated environments.

Amazon Connect is not just a cloud contact centre. For regulated deployments it offers three things that matter:

• Data residency controls. We kept all call recordings and transcripts in eu-west-2 (London). No data left the UK AWS region. That's a hard requirement for several FCA-regulated firms we work with.
• Native integration with AWS security services. IAM, KMS, CloudTrail, Macie. Compliance tooling is not bolted on. It's the infrastructure.
• Amazon Connect Contact Lens. Real-time transcription, sentiment analysis, and keyword detection built into the platform. No third-party transcription vendor to negotiate with, no additional data processor to add to your DPIA.

The alternative was a third-party CCaaS platform with AI add-ons. We've seen that architecture. It typically means three vendors, two integration layers, and a compliance conversation that never fully resolves.

The Architecture

Here's what we built.

Layer 1: Amazon Connect as the Orchestration Layer

All inbound calls route through Amazon Connect. Contact flows handle the initial routing logic, including queue management, callback scheduling, and the decision point between AI voice agent handling and live agent transfer.

We use Amazon Connect contact attributes extensively to carry context through the call. When a call transfers to a live agent, the agent screen-pop includes the full interaction summary, the caller's verified identity, and the intent classification from the AI layer. Agents start the conversation knowing exactly why the customer called and who they are.

Layer 2: Amazon Lex for Conversational AI

Amazon Lex handles the natural language understanding. We built six intents covering the highest-volume call types:

• Identity verification
• Balance enquiry
• Payment arrangement setup
• Payment date change
• Hardship declaration routing
• Complaint flagging

The payment arrangement intent is the most complex. It connects to the client's debt management system via a Lambda function, retrieves the account balance and current arrangement status, presents options within FCA-compliant parameters, confirms the arrangement verbally, and writes the outcome back to the system of record. No agent required.

For hardship and complaint calls, the agent never tries to resolve the issue autonomously. It captures the context and transfers immediately. That's a deliberate design decision, not a limitation.

Layer 3: AWS Lambda for Business Logic

Every integration runs through Lambda. We built 11 functions covering:

• Identity verification against the client's CRM via REST API
• Payment arrangement creation and modification
• Account balance retrieval
• Callback scheduling
• Contact Lens flag processing (for escalation triggers)
• Audit event writing to DynamoDB

All Lambda functions run inside a VPC with no public internet access. API calls to the client's on-premises systems go through AWS Direct Connect.

Layer 4: Compliance and Audit Infrastructure

This is where regulated deployments differ from standard builds.

Every call generates a structured audit record written to DynamoDB within 200 milliseconds of call completion. The record includes:

• Full Contact Lens transcript
• Intent classification and confidence score
• All data accessed during the call (account ID, balance, arrangement details)
• Outcome (resolved, transferred, abandoned)
• Transfer reason if applicable
• Sentiment score at call end

All call recordings are encrypted at rest using KMS with a customer-managed key. The client controls key rotation. Recordings are retained for 6 years in S3 with Object Lock enabled, satisfying FCA record-keeping requirements.

CloudTrail logs every API call. Macie scans S3 for inadvertent PII exposure. We built a daily compliance report delivered to the client's data protection team via SNS.

The Deployment Timeline

We went live in 5 weeks and 2 days.

| Week | Work |

|------|------|

| 1 | Architecture design, AWS environment setup, Direct Connect validation, security review |

| 2 | Amazon Connect configuration, contact flow build, Lex intent training |

| 3 | Lambda development, CRM integration, identity verification build |

| 4 | UAT with client operations team, compliance review, Contact Lens configuration |

| 5 | Phased go-live starting at 10% of traffic, monitoring, tuning |

| Week 5 Day 3 | Full traffic cutover |

Phased go-live is non-negotiable for regulated clients. You do not flip 18,000 calls per month to a new system on day one. We started at 10%, monitored containment and transfer rates in real time, tuned the Lex confidence thresholds, and increased traffic in 20% increments over three days.

The Numbers at 90 Days

These are production numbers from the client's reporting, not our projections.

• Before: 7 minutes 23 seconds average
• After: 4 minutes 24 seconds average
• Reduction: 40.3%

The reduction comes from two places. Identity verification and account lookup dropped from 2 minutes 40 seconds to 18 seconds because the AI agent handles it before transfer. And for calls that the AI resolves fully, the handle time is removed from the agent queue entirely.

• Week 1: 43% of calls fully resolved by AI without agent transfer
• Week 4: 58%
• Week 12: 61%

Containment improves over time because Lex learns from production traffic and we tune intent thresholds based on real call data. Week 1 containment is never your steady-state containment.

• 34% of call volume was payment arrangement calls at go-live
• 79% of those are now fully handled by the AI agent end-to-end
• That's roughly 4,800 calls per month that no longer require an agent

• Dropped from 91% to 74%
• Agents now have recovery time between calls
• Attrition in the first quarter post-deployment: zero

• 100% of calls have a structured audit record
• Contact Lens flagged 23 calls in the first 90 days for compliance review (keyword triggers on hardship language)
• All 23 were reviewed within 24 hours. Two required FCA notification.
• The firm's compliance team described the audit trail as "materially better" than their legacy system

What We Got Wrong (And Fixed)

No case study is honest without this section.

Frequently Asked Questions

For a regulated UK contact centre with existing CRM integrations, our standard deployment is 4 to 6 weeks to production. This post documents a 5-week deployment.

FCA consumer duty requirements, ICO data protection obligations under UK GDPR, and PRA operational resilience standards. The audit trail, data residency controls, and call recording retention are all built to these frameworks.

Yes. The key is designing the intent boundaries correctly. Payment arrangement setup and modification are automatable. Hardship assessment, complaints, and anything requiring judgment or vulnerability identification should transfer to a trained human agent. We build that routing logic into every deployment.

The call transfers to a live agent with full context: verified identity, intent classification, account details, and a conversation summary. The agent does not start from scratch. That context handoff is one of the highest-value parts of the architecture.

What This Architecture Costs

We get asked this directly, so here's a direct answer.

Amazon Connect pricing is consumption-based. At 18,000 calls per month with an average duration of 4 minutes 24 seconds post-deployment, the Connect charges run approximately £2,800 to £3,200 per month depending on feature usage. Add Lambda, Lex, DynamoDB, S3, and Contact Lens and the total AWS bill runs around £4,100 to £4,800 per month.

The client's previous IVR platform cost £6,400 per month on a fixed contract. They're saving on infrastructure while handling more volume with better compliance.

The bigger number is agent cost. At 4,800 payment arrangement calls per month removed from the agent queue, at an average handle time of 6 minutes per payment call, that's 480 agent-hours per month. At a fully-loaded agent cost of £18 per hour, that's £8,640 per month in recovered capacity. The client has not reduced headcount. They've redeployed those agents to complex and vulnerable customer calls where human judgment matters.

Lessons for Your Deployment

If you're planning a similar build, here's what we'd tell you to do differently from day one.

What Comes Next for This Client

We're currently in scoping for phase two. The priorities are:

• Outbound AI voice agents for payment reminder calls (estimated 12,000 calls per month)
• Amazon Connect Customer Profiles integration to give the AI agent a richer account view
• Real-time agent assist: using Contact Lens to surface relevant information to live agents during complex calls

Phase two is a separate engagement. That's how we work. We build in discrete, production-ready increments. Each phase delivers measurable value before the next one starts.

Build It or Buy It?

One question we hear from operations directors: should we use a pre-built AI contact centre solution or build on Amazon Connect directly?

For regulated UK firms, our answer is consistent: build on Amazon Connect. Pre-built solutions trade flexibility for speed, and in regulated environments, flexibility is not optional. You need to control your data residency, your audit schema, your transfer logic, and your compliance reporting. Pre-built platforms give you a demo in a day and a compliance headache in a year.

Building on Amazon Connect takes 4 to 6 weeks with the right team. That's not significantly longer than onboarding a pre-built platform, and you own the architecture.

Ready to Build?

If you're running a regulated contact centre and you want to see what a production Amazon Connect AI deployment looks like for your environment, let's talk specifics.

We'll review your current architecture, identify the highest-value automation opportunities, and give you a realistic timeline and cost estimate. No slide decks. No generic demos.