Agentic AI Pilot for Regulated Industries - 6 Weeks on Bedrock AgentCore

**What happens each week**

• **Week 1 — Use-case selection + governance intake.** Success-metric definition, data-access review, governance intake mapped to the frameworks that apply to your industry (HIPAA Security Rule, HITRUST CSF v11.2 AI, NIST AI RMF, NAIC AI Model Bulletin, SR 11-7 model risk, 21 CFR Part 11, Colorado SB 24-205, Texas TRAIGA, SEC Item 1.05, EU AI Act). Deliverable: signed SOW + threat model + AWS run-rate estimate.
• **Weeks 2–4 — Agent build on Amazon Bedrock AgentCore.** Design single-agent or supervisor/sub-agent pattern. Model tiering: Claude Opus 4.7 (1M context) for complex reasoning, Sonnet 4.6 for orchestration, Haiku 4.5 for classification. Bedrock Knowledge Bases + OpenSearch Serverless for retrieval. Bedrock Guardrails for PII, denied topics, content safety, contextual grounding. AWS Step Functions for multi-step deterministic flow; Lambda for tool actions. MCP servers for existing system-of-record integrations. CloudWatch GenAI Observability for traces.
• **Weeks 5–6 — Eval, red team, hardening, handover.** Human-in-the-loop evaluation, red-team prompts (MITRE ATLAS-aligned), bias + drift checks, audit-log wiring (CloudTrail + AgentCore traces), IAM least-privilege audit, VPC endpoints, KMS CMKs, IaC (CDK/Terraform), runbook, incident response playbook, 4-hour knowledge-transfer session, 30-day hypercare.

**Representative use cases** (one selected per pilot):

• **Healthcare** (AgentCore HIPAA-eligible): prior-authorization agent, care-gap detection, clinical documentation drafting, claims triage.
• **Financial services**: KYC/onboarding review, transaction-monitoring triage, Reg BI disclosure drafting, regulatory-reporting narrative generation.
• **Insurance**: FNOL claims-intake triage, underwriting co-pilot with policy-manual grounding, SIU fraud-surveillance agent.
• **Life sciences**: adverse-event intake, pharmacovigilance case processing, regulatory writing assistant.

**Why Bedrock AgentCore**

Amazon Bedrock AgentCore became **HIPAA-eligible on February 10, 2026**, which is why we standardize regulated-industry pilots on it. AgentCore provides managed memory, identity, and tool execution primitives that reduce custom scaffolding and make audit evidence easier to produce. All inference and agent state stay inside your AWS account and VPC; Kriv AI does not retain customer data outside the engagement environment.

**Governance that holds up in audit**

Every pilot ships with a control-mapping workbook, evaluation dataset, prompt/tool-call logging plan, and a go/no-go decision memo a risk committee can actually review. We design against NIST AI RMF functions (Govern, Map, Measure, Manage) and produce artifacts usable for HITRUST AI Security, SR 11-7 model-risk documentation, and EU AI Act high-risk system obligations where applicable.

**Important — infrastructure costs and disclaimers**

The private-offer price ($25,000–$75,000 depending on scope, data complexity, integrations) covers Kriv AI professional services only. It does **not** include AWS charges. The customer is separately responsible for all AWS usage — Amazon Bedrock model invocation, Amazon Bedrock AgentCore, AWS Step Functions, AWS Lambda, Amazon S3, Amazon OpenSearch Serverless, CloudWatch, AWS KMS, and any data-transfer/storage charges incurred during the pilot. Kriv AI provides an estimated AWS run-rate during Week 1 scoping. Kriv AI delivers engineering methodology only — not legal, regulatory, clinical, or investment advice. Customer is solely responsible for its own AWS Business Associate Agreement (for healthcare), model-risk filings, and ongoing operation after the 30-day hypercare period.

**Get started.** Contact info@kriv.ai or +1 732 433 5564. Most pilots kick off within 2–3 weeks of contract signature.