Case studies

Real conversational AI. Real outcomes.

A snapshot of recent engagements: what we built, the stack we used, and what changed for the team.

All

Financial Services

Insurance

HR Technology

News & Information

Aviation

Healthcare & Life Sciences

Software & Observability

Cloud & Contact Centre

Financial Services • 10 weeks

Retired 30+ spreadsheet-bound processes onto a production cloud platform, with full data lineage and audit trail that passed internal controls review

We replaced brittle on-premise and spreadsheet workflows with a production, cloud-native platform on AWS, cutting manual reconciliation effort by an estimated 60% while giving the firm end-to-end data lineage, least-privilege access and a complete audit trail that stood up to internal controls review with zero findings.

AWS

IAM

CloudTrail

Infrastructure-as-Code

VPC

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Insurance • Multi-week programme

Took engineering teams from one-off AI experiments to a governed lifecycle on Amazon Bedrock, with every feature evaluated and audit-logged before production

We delivered a hands-on AI development lifecycle programme for a major insurer, moving teams from ad-hoc experimentation to a single governed path to production on Amazon Bedrock, cutting time-to-first-governed-deployment by an estimated 50% while embedding the evaluation, model-versioning and audit logging a regulated insurer requires.

Governance frameworks

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London HR Startup

HR Technology • 12 weeks

A voice agent and chatbot that handle 70% of candidate-ops admin, with human-in-the-loop gates on every sensitive action and a full action audit trail

We replaced spreadsheet-driven operations with a governed network of AI agents, an agentic voice system and chatbot backed by MCP servers, that now handle an estimated 70% of candidate-ops admin, with mandatory human-oversight gates on every candidate- and client-facing action and a complete audit trail of what each agent did and why.

Anthropic Claude

Model Context Protocol (MCP)

Cut editorial video-review time from hours to minutes, with an editor sign-off gate and full source traceability on every AI summary

We built a production pipeline that ingests broadcast video, transcribes it and produces editorially-formatted summaries, cutting analyst review time from hours to an estimated few minutes per video, with a mandatory editor sign-off gate and traceability from every summary back to the source footage and transcript.

A voice-enabled training assistant that answers staff questions 24/7, grounded only in approved procedures, with every answer traceable to source

We delivered an internal training platform pairing Synthesia-generated course videos with a Bedrock-powered conversational assistant that answers staff questions on demand, grounded strictly in approved operational procedures, with every answer citable to its source document and interactions logged through the LMS.

Knowledge Bases for Bedrock

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US Financial Services

Financial Services • 3 days

Shipped a financial-services team's first production AI workload in 3 days, with evaluation, guardrails and governance built in from the first commit

We ran a 3-day intensive that took a US financial-services team from AI experimentation to their first production-ready workload, delivered with an evaluation harness, guardrails and infrastructure-as-code, and aligned with the governance and model-risk expectations a regulated financial business must meet.

Internal change-management playbook

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Healthcare & Life Sciences • 8 weeks

A life-sciences chatbot that answers 65% of product and technical queries, grounded only in approved documentation, with a citation on every answer

We built a grounded AI chatbot for a life-sciences business that now handles an estimated 65% of product and technical questions, answering strictly from the company's approved documentation, citing the source on every response, and deferring to a human whenever it lacks a grounded answer.

AWS Bedrock

Knowledge Bases for Bedrock

Software & Observability • Multi-week programme

Standardised how an engineering org ships AI features, with every one instrumented for evaluation and production observability before release

We delivered an AI development lifecycle programme for a leading observability company's engineering teams, establishing a single governed path from prototype to production in which every AI feature is evaluated and instrumented for observability before release, cutting the path to a production-ready feature by an estimated 40%.

Cloud & Contact Centre • Workshop

Reference patterns for AI contact centres that deflect ~30% of enquiries, with call transcription, agent-assist and full interaction auditability

We designed and delivered an AWS workshop on building production-grade smart contact centres with Amazon Connect, combining conversational AI, intelligent routing and Bedrock-powered agent assist, with patterns that target an estimated 30% self-service deflection while keeping every call transcribed, auditable and human-supervised.

Ready when you are

Ready to take AI from pilot to production?

Book a free discovery call with our team of ex-AWS engineers. We'll discuss your regulated-industry challenges and outline a governed path from pilot to production. No commitment required.