Sold by: Kriv AI
Build a production-ready agentic AI system for one high-value use case in 4-6 weeks. Kriv AI designs and deploys autonomous AI agents with human-in-the-loop oversight, guardrails, and compliance controls built for healthcare, insurance, and financial services. Includes agent architecture, tool integration, safety testing, and deployment on AWS using Amazon Bedrock. Fixed-scope engagement with 2-week post-launch monitoring. Designed for organizations that have deployed basic AI (chatbots, copilots) and are ready to move to autonomous multi-agent workflows.
Overview
74% of enterprises plan to adopt agentic AI within two years, but Gartner predicts 40% of these projects will fail. The difference between success and failure is architecture, guardrails, and governance -- especially in regulated industries where autonomous AI decisions carry compliance risk.
Kriv AI's Agentic AI Pilot takes you from concept to production in 4-6 weeks for one high-value use case. We do not build demos or proofs of concept that sit on a shelf. We build production systems that operate autonomously with appropriate human oversight.
WHAT WE BUILD:
Working Agent System: 2-3 AI agents designed for your specific use case -- each with defined roles, capabilities, and boundaries. Agents collaborate through an orchestration layer to complete multi-step workflows autonomously.
Tool Integration: Agents connected to your existing systems (EHR, claims systems, CRM, data platforms, APIs) through secure, auditable integrations. Every external action is logged and reversible.
Guardrail Configuration: Safety boundaries, output validation, hallucination detection, and escalation rules. Critical for regulated industries where autonomous AI decisions have compliance implications.
Human-in-the-Loop Controls: Configurable approval workflows for high-risk decisions. Agents operate autonomously for routine tasks and escalate to humans when confidence is low or stakes are high.
Testing and Validation: Comprehensive testing including adversarial scenarios, edge cases, compliance checks, and load testing. Documented test results for audit purposes.
Deployment on AWS: Production deployment using Amazon Bedrock for foundation models, with monitoring, alerting, and auto-scaling configured.
EXAMPLE USE CASES BY INDUSTRY:
Healthcare: Prior authorization automation, clinical documentation review, care gap identification, revenue cycle optimization, patient intake processing.
Insurance: Claims triage and routing, fraud pattern detection, underwriting data collection, policy renewal processing, compliance document review.
Financial Services: KYC/AML document processing, transaction monitoring, regulatory reporting, client onboarding workflows, risk assessment automation.
ENGAGEMENT STRUCTURE:
Week 1: Use case selection, requirements, architecture design, and guardrail planning. Weeks 2-4: Agent development, tool integration, guardrail implementation, and iterative testing. Weeks 5-6: Production deployment, monitoring setup, documentation, and team training. Post-launch: 2 weeks of production monitoring and optimization included.
WHO THIS IS FOR:
CIOs, VP Engineering, CDOs, and innovation leaders at healthcare organizations, insurance carriers, banks, and financial institutions that have already deployed basic AI (chatbots, copilots) and want to move to autonomous workflows.
ABOUT KRIV AI:
Kriv AI specializes in agentic AI for regulated industries with built-in governance. AWS Partner. Databricks Partner. Trained a $2B enterprise healthcare organization.
Visit https://kriv.ai for case studies and methodology.
Highlights
- Production-ready agentic AI in 4-6 weeks: autonomous agents with guardrails, human-in-the-loop controls, and compliance logging for regulated industries
- Built on Amazon Bedrock with secure tool integration, adversarial testing, and audit-ready documentation
- Specialized in healthcare, insurance, and financial services -- where autonomous AI requires governance from day one
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
PRE-PURCHASE SUPPORT:
Before purchasing, contact Kriv AI for:
- Use case evaluation and feasibility assessment
- Architecture discussion for your specific environment
- Custom pricing via private offer
- Demo of agentic AI capabilities
Contact us:
- Email: info@kriv.ai
- Phone: +1-732-433-5564
- Website: https://kriv.ai/contact
Response time: All inquiries answered within 1 business day.
POST-PURCHASE SUPPORT:
After purchase, customers receive:
- Dedicated technical lead assigned within 24 hours
- Kickoff call within 3 business days
- Twice-weekly status updates during development
- 2-week post-launch production monitoring included
- All source code and documentation delivered to customer
- Knowledge transfer session for internal team
- Email and phone support (9 AM - 6 PM ET, Monday-Friday)
ESCALATION: Critical production issues escalated to engineering lead within 2 hours, CEO within 24 hours.
REFUND POLICY: Full refund before kickoff. After kickoff, partial refund based on work completed.
Software associated with this service
PointGuard AI's integration with AWS AI (Bedrock, SageMaker) significantly enhances the security and governance of AI applications built on AWS AI (Bedrock, SageMaker). PointGuard AI's solutions provide guardrails and policy enforcement across the entire AI lifecycle, from data ingestion to model deployment. By combining AWS AI's powerful data processing capabilities with PointGuard AI's robust security measures, organizations can accelerate their AI initiatives while maintaining a strong security posture, ensuring that sensitive data and AI models are protected from evolving threats.