Rebuilding the client's intelligent agent framework on Amazon Bedrock

A FinTech business working with Cloud Combinator on AWS. The client is anonymised at their request.

The challenge had four focus areas, each tied to a success criterion the finished platform had to meet.

We ran the work as a sequence of phases so that architecture, security and delivery decisions were made deliberately and signed off as we went, with everything captured as version-controlled Infrastructure-as-Code.

The engagement delivers the client a modular, Bedrock-native agent framework that meets the functional and non-functional success criteria agreed at kick-off, hosted in the client's own AWS account and accepted through a formal sign-off. The build also moves the client off its previous third-party model dependency and onto Amazon's ecosystem, reducing lock-in and giving the team more direct control over cost.

• Agentic orchestration — A Bedrock agent selects and runs tasks autonomously, escalating to LLM reasoning only when deterministic checks flag uncertainty.
• Adaptive memory — Context is filtered and prioritised dynamically, with asynchronous handling of large message batches to hold performance under load.
• Guardrails and security — Backend identifiers are stripped or obfuscated, responses are semantically screened, and malicious input is rejected before it reaches the data.
• Visualisation and reporting — Charts, tables and customisable Markdown or HTML reports are generated on demand, matching the recurring reporting finance clients rely on.
• Handover — The client receives an operational runbook, incident-response procedures and a knowledge-transfer workshop, plus a week of hyper-care after go-live.

With the framework version-controlled as Infrastructure-as-Code and running in its own account, the client is positioned to add new tools and agents without re-architecting, and to keep optimising cost and performance as its finance client base grows.