Overview
An accelerated 4-week engagement to help teams design and deploy an execution-ready GenAI agent using Rierino’s orchestration platform. Ideal for organizations moving beyond exploratory LLM experiments, this PoC delivers a working agent that can act on real systems with governed, auditable workflows. The engagement is delivered within your AWS environment and can integrate with AWS services as needed, supporting Amazon Bedrock as well as other LLM providers, depending on your requirements.
Engagement Model
Week 1: Use Case Selection & Design
- Identify a high-value agent use case aligned to operational goals.
- Map required tools, data flows, and action boundaries.
- Define success criteria, safety constraints, and governance requirements.
- Establish the interaction pattern between the agent and your systems.
Weeks 2–3: Agent Implementation
- Build agent logic using Rierino’s orchestration and decisioning flows.
- Connect the agent to selected systems or APIs for controlled tool use.
- Integrate Amazon Bedrock or another selected LLM provider for reasoning.
- Configure guardrails, validations, escalation paths, and audit logging.
- Iterate with your team to refine behavior and ensure safe execution.
Week 4: Evaluation, Testing & Knowledge Transfer
- Validate agent performance through scenario testing and optimization.
- Review architectural patterns for scaling to multiple agents.
- Deliver governance guidelines for operational AI safety.
- Conduct a technical handover and enablement session.
Deliverables
- A functional GenAI agent capable of taking action within defined boundaries.
- Agent logic, orchestration flows, and integration specifications.
- Governance and safety patterns for oversight and auditability.
- Architecture guidance for multi-agent scalability.
- A prioritized roadmap for production and further automation.
Following the PoC, organizations can extend the agent into a production-ready capability, introduce additional use cases, or develop an enterprise agent framework on Rierino to support governed, scalable AI automation.
Highlights
- 🤖 Build an Execution-Ready GenAI Agent Fast: Deploy a real, action-capable GenAI agent in 4 weeks using Rierino’s orchestration layer, connecting LLM reasoning to governed backend execution.
- 🔗 Model-Agnostic Intelligence, Enterprise Control: Integrate Amazon Bedrock or other LLM providers while maintaining strict guardrails, auditability, and safe tool use across your systems.
- 🚀 From Pilot to Scalable Agent Framework: Gain an MVP agent, robust governance patterns, and a roadmap for multi-agent expansion—helping teams operationalize GenAI with confidence.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Resources
Vendor resources
Support
Vendor support
Support Contact For all support requests, please email hello+support@rierino.com .
Support Availability Professional Services PoCs include coordinated support from the Rierino delivery team for the full duration of the engagement. Support covers setup assistance, technical questions, clarification of implementation steps, and issue triage. Standard support hours are 09:00–17:00 UTC.
Post-Engagement Support At the conclusion of the PoC, Rierino provides closing guidance and recommended next steps. If your organization requires extended coverage, a dedicated account manager, or 24/7 support, please contact us to explore Enterprise support options tailored to long-term adoption.