Turning mortgage paperwork into an autonomous workflow

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

The challenge had four focus areas.

Cloud Combinator structured the work as three connected stages so that each decision was validated before the next stage committed to it.

The engagement delivered against its agreed success criteria: an agentic pipeline that autonomously classifies documents, validates completeness, prefills structured data and drafts follow-up emails, with a human-in-the-loop path for the cases that warrant it, all deployed as infrastructure-as-code in the client's AWS account.

• Autonomous orchestration — The Bedrock Agent decides the next action from the extracted data and rule outcomes, invoking additional reasoning only when deterministic checks flag ambiguity.
• Less manual follow-up — The agent drafts client-ready emails naming the specific missing items, and returns a structured JSON result that the client's downstream services can consume directly.
• Governed by design — Bedrock Guardrails, IAM least-privilege and a complete per-request trace give the client an auditable, explainable pipeline suited to a regulated lending workflow.
• One model platform — Migrating document analysis from Azure OpenAI to Bedrock consolidated the client onto a single AWS-native stack for models, data and cost governance.
• Handover — The client received the infrastructure-as-code repository, prompt templates, an operational runbook, Loom walk-throughs and a knowledge-transfer workshop.

With the agentic workflow live and load-tested, the client is no longer constrained by manual document handling and is positioned to add new verification rules and document types through configuration as its volumes and product continue to grow.