71% of enterprise AI pilots never reach production. We build the guardrails, audit trails, and cost controls that make the other 29% happen — in regulated industries.
Every team can build an impressive ChatGPT wrapper in a weekend. Almost none of them survive contact with production security reviews, legal, or compliance. Here's why.
The model gives confident, wrong answers. In a demo, that's embarrassing. In a regulated industry, that's a liability event. No guardrails means no go-live.
Unredacted patient data, financial records, or employee PII passed into a prompt. No one mapped the data flow. Legal finds out during a SOC2 audit, not before.
The model made a decision. You can't explain why. You can't replay it. When a regulator asks, "show me every AI decision in the last 90 days," you have nothing.
A single misconfigured agent loops and burns $40K in API calls overnight. No per-agent budgets, no circuit breakers, no cost visibility per workflow.
We don't just build agents that work. We build agents that work, comply, audit, and self-govern — from day one in production.
Hierarchical agent systems with an orchestrator, specialist sub-agents, and deterministic workflow routing via Step Functions. Full state visibility and replay capability.
Hybrid dense + sparse retrieval, semantic chunking, evaluation pipelines with automated regression testing, and retrieval quality metrics tracked per query type.
Bedrock Guardrails for content moderation, PII detection and redaction at prompt/response layer, HIPAA-compliant data handling, and SOC2 evidence collection built in.
Per-agent token budgets, intelligent model routing (use GPT-4o only when needed), semantic caching to cut repeat queries, and per-workflow cost dashboards.
For regulated industries, compliance is not a layer you add at the end. We design it into the architecture from the first sprint:
Curated from dozens of production deployments. We know which tools hold up under compliance review and which ones create problems at security audit time.
We scope carefully, prototype fast, harden thoroughly, and hand over completely. No permanent dependency on us — your team owns the system.
Identify the highest-ROI AI use cases, map data flows, assess compliance requirements, define success metrics.
Build working prototype with RAG pipeline and agent scaffold. Evaluation framework running from week 2 onwards.
PII redaction, Bedrock Guardrails, audit logging, VPC isolation, and SOC2 evidence collection wired in end-to-end.
Load testing, cost budgets, circuit breakers, alerting, runbooks, and full knowledge transfer to your engineering team.
A healthcare SaaS platform had 20 manual clinical data extraction workflows. 12 FTEs spent 60% of their time copy-pasting from research documents. Every previous AI proposal had been blocked by compliance. They needed a system that legal would actually approve.
We built 200+ Bedrock AgentCore agents with full Guardrails, CloudTrail audit logging, VPC isolation, and PII redaction. Legal signed off. Compliance passed. 94% extraction accuracy. $340K in annual labor savings. Zero data leakage incidents to date.
Read the full case studyEvery engagement is scoped to a clear deliverable with a compliance-first architecture included by default — not as an add-on.
Start with an AI Readiness Audit — we'll show you exactly what it takes to get your use case live in a regulated environment.
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