Document extraction that knows when to ask a person
An event-driven pipeline that extracts structured data from documents with Claude on Amazon Bedrock, checks it against evidence, and sends only the doubtful cases to human review.
Services
build: make it survive production.
01 · The problem
what we hear
“Our proof of concept works in the demo and has been stuck short of production for months.”
“Security review keeps sending it back.”
“We can't tell whether a model upgrade made it better or worse.”
02 · Diagnosis
why it happens
Production is a systems problem, not a model problem. Failures happen in the integration, safety, evaluation and governance around Claude.
03 · Outcomes
what we deliver
- Production readiness
- Cost, latency and reliability mapped to budget, with integration patterns an enterprise will accept.
- Safety architecture
- Input screening, output screening and tool-call authorisation placed so the system fails closed.
- Evaluation as the gate
- Evals written as acceptance criteria. No model or architecture change ships without passing them.
- Governance built in
- Confidence-based routing to human review, and each compliance obligation mapped to a control, an owner and evidence.
Typical use cases include customer support agents, multi-agent research pipelines, document extraction, and agentic workflows.
04 · Engagement
how it runs
- architecture decision
- build with evals
- security review
- handoff
05 · Honest limit
what we won't do
We won't take a system to production without evals and a safety review, even when that is slower.
06 · Proof
see how we think
From our writing on Production agents, Agentic workflows and automation, AI security, AI platform and infrastructure.
A multi-agent research pipeline, and when to use one agent instead
An orchestrator that splits a research question across parallel workers with narrow contexts, then synthesises cited findings and names what it couldn't cover.
A support agent on AgentCore that can't give away the store
A customer support agent with account-changing tools, where authorisation lives in code and policy rather than the prompt, and hard cases reach a person with context attached.
Claude Code PR automation: babysit to green
Set up Claude Code PR automation that takes pull requests from red to green: diagnose CI failures, answer review threads, and escalate on cue.
Incident Response Runbooks with Claude Code
Build structured incident response runbooks as Claude Code skills that check service health, gather logs, and suggest root causes.
Secure API Middleware with Claude Code
Build JWT auth, rate limiting, input sanitization, and CORS middleware using security-first Claude Code prompts mapped to OWASP API risks.