Ex-AWS engineers · Production-grade conversational AI

We build voice agentsfor fintechsthat pass audits

We build production-grade voice agents and chatbots, engineered for the audit trail, human-oversight gates and data handling that regulated businesses demand. We take conversational AI from pilot to production.

Ex-AWS engineers

Production-grade

Pilot to production

Worked with regulated industries: healthcare & finance

Conversational AI voice agent and chatbot dashboard

In production

Governed & auditable

Production deployments

Auditable & governed

Years engineering on AWS

Selected work

Trusted by ambitious teams

From Fortune 500s to funded scale-ups, we've helped regulated organisations ship conversational AI into production.

US Financial Services

AI enablement program

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.

Featured case study

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.

The Challenge

A capital-markets firm was running critical operations across brittle on-premise systems and spreadsheets: slow, error-prone, and impossible to evidence under scrutiny. They needed to modernise, but a regulated investment business cannot simply lift its data into generic SaaS: it must be able to prove who accessed what, when, and why. Off-the-shelf tools were too shallow to model the workflows, and a naive build would have failed the firm's own controls review on access, data residency and auditability.

What we built

Ran a discovery to map data flows, access requirements and the regulatory obligations the platform had to satisfy: audit trails, data residency and least-privilege access treated as first-class requirements, not afterthoughts

Architected a cloud-native platform on AWS with security engineered in from day one: IAM least-privilege, encryption in transit and at rest via KMS, VPC isolation, and full CloudTrail auditability

Built core services with infrastructure-as-code so every environment is reproducible and every change is reviewed, versioned and traceable

Instrumented data lineage and immutable audit logging so the firm can evidence every access and transformation, a regulatory requirement engineered as a native capability rather than bolted on

Outcomes

Cut manual reconciliation effort by an estimated 60% and passed internal controls review with zero findings on access and auditability

A production, cloud-native platform replacing fragile manual processes, with security and traceability engineered in

Reproducible infrastructure-as-code environments, deployable with confidence and a full change audit trail

A governed foundation the firm can extend without re-architecting to meet its compliance bar

Infrastructure-as-Code

VPC

Encryption (KMS)

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.

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)

AWS Bedrock

Slack

News & Information

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.

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.

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

RAG

OpenSearch

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.

View all case studies

What we do

Our Services

End-to-end conversational AI: voice agents and chatbots taken from pilot to production, built on AWS by a team who knows it inside out

Production-Readiness Assessment

A structured review of your conversational AI use case, delivered as a prioritised written report. It identifies your highest-ROI voice and chatbot opportunities, the compliance and human-oversight controls each needs, and a clear path from pilot to production. Assessment fee credited against any subsequent project.

Generative AI Consulting

End-to-end generative AI delivery: RAG pipelines, knowledge systems, intelligent assistants, and Bedrock-powered LLM applications. Grounded in your data, deployed to your AWS account, owned by you.

Agentic AI Systems

Design and build autonomous AI agents that reason, plan, and execute complex multi-step business processes. Built on AWS Bedrock with human-in-the-loop controls at every critical decision point. Production-grade agentic AI, not a proof of concept.

Voice Agents for Regulated Industries

Production-grade voice agents built on Amazon Connect and Amazon Lex, engineered for the audit trail, human-oversight gates, and data handling that fintech, healthcare, and insurance demand. Designed, built, tested, deployed, and documented.

AWS Development

Bespoke AWS architecture and serverless development (Lambda, Step Functions, EventBridge, Bedrock) by engineers who contributed to AWS CLI, CDK, SAM, and Amplify. Cloud-native, hybrid, or multi-cloud where it's the right fit.

Enablement & Ongoing Support

Comprehensive team enablement, documentation, and ongoing support, so your conversational AI keeps delivering value, and stays compliant, long after launch. Ongoing retainers available from £500/month.

AWS Bedrock

Amazon Lex

Amazon Connect

Anthropic Claude

OpenAI

Amazon OpenSearch

AWS Lambda

Amazon Transcribe

AWS Bedrock

Amazon Lex

Amazon Connect

Anthropic Claude

OpenAI

Amazon OpenSearch

AWS Lambda

Amazon Transcribe

AWS Bedrock

Amazon Lex

Amazon Connect

Anthropic Claude

OpenAI

Amazon OpenSearch

AWS Lambda

Amazon Transcribe

How we work

Our Proven Process

A systematic approach to taking conversational AI from pilot to production: governed, auditable, and built on AWS

Discovery

We analyze your customer conversations, systems, and compliance obligations through stakeholder interviews and conversation mapping to understand your unique challenges.

1 week

Assessment

Our team evaluates each conversational AI use case against key metrics: containment, handling time, risk, and the compliance controls it will need to reach production.

1 week

Prioritization

We create a ranked roadmap of voice and chatbot use cases, from quick wins that deliver immediate value to transformational conversational AI initiatives.

1 week

Design

Detailed solution architecture and technical specifications for your highest-priority conversational AI, including audit trail and human-oversight design, leveraging AWS services and AI best practices.

2-3 weeks

Client testimonials

Client Success Stories

Real results from real projects (anonymized for confidentiality)

The team helped us architect our Next.js application on CloudFront and S3. Their expertise and guidance, including building demos, was invaluable in helping us understand the best approach and provided significant architecture simplification.

Architecture simplified, deployment streamlined

Senior Solutions Architect

Enterprise Technology Company

What could have been a 4-month setback was turned into a major success. The solution inspired our team to envision 60+ use cases for our platform, opening up hundreds of additional opportunities across our organization.

60+ new use cases identified

Head of Digital Transformation

Global Healthcare Company

The solution is going to save our investment services team a tremendous amount of time and risk. The new system eliminated time-consuming, error-prone manual processes.

Significant time and risk reduction

Head of Investment Services

Financial Services Firm

Accomplished in a week what was estimated to take two engineers. The comprehensive labs covered a wide range of topics and have been well-received by our teams.

50% faster delivery

Senior AI Architect

Technology Company

Trusted tools we work with

AWS

Bedrock

Amazon Lex

Amazon Connect

OpenAI

Anthropic

OpenSearch

Who this is for

Who we work with

We work best with regulated businesses that are ready to take conversational AI to production, not just explore it.

We're a good fit if...

You have a high-volume voice or chat channel you want a conversational AI to handle, or a board-level mandate to deploy AI safely

You've tried off-the-shelf AI tools and need something grounded in your actual data and systems

You operate in a regulated industry and need an audit trail and human-oversight controls, not just a chatbot

You want a production-grade system delivered on AWS, not a strategy deck or a pilot that never ships

You're ready to move within the next 1–3 months

We're probably not the right fit if...

You need a strategy document without an implementation commitment

You're pre-revenue or have no technology budget

You need 24/7 enterprise managed services from a large MSP

You want to build entirely in-house and just need a training course

Typical engagements start from £1,500 for a readiness assessment, credited against any subsequent project.

Book a discovery call

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.