Agentic AI Pilot
Jefferson Frank · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Agentic AI Pilot is a low‑risk, high‑impact program designed to deliver a functioning autonomous AI agent for one priority workflow, enabling your organization to validate value, feasibility, and safety before scaling. This engagement focuses on translating a targeted business process into an agent‑driven workflow, leveraging AWS native capabilities such as Amazon Bedrock, AgentCore, and supporting orchestration components.
We begin with use case discovery and framing sessions to align business goals, identify bottlenecks, and determine where autonomous reasoning and tool‑use can deliver measurable value. Together, we decompose the workflow into actionable steps, define agent goals, identify required tools and data sources, and confirm governance checkpoints such as human-in-the-loop controls. This ensures the agent is scoped precisely and safely for your operational requirements.
Show the rest of the publisher’s description (2 more lines)
We then design and deploy a secure pilot environment within your AWS account, configure the selected foundation models, and build the agent’s planning, memory, and orchestration logic. Tools, APIs, retrieval pipelines, or domain‑specific systems are integrated to enable the agent to reason, act, and complete real tasks autonomously. Iterative testing, prompt refinement, and workflow tuning ensure reliable performance under realistic conditions.
At the conclusion of the pilot, you will receive a working autonomous AI agent tailored to your selected workflow, along with evaluation results, source materials, a governance model, and a clear roadmap for scaling to production. The pilot provides a safe, structured path to explore agent‑based automation and establish measurable ROI before broader adoption
Highlights
Highlighted by the publisher on AWS Marketplace.
Delivery of a working autonomous AI agent for one high‑impact business workflow, enabling low‑risk validation of value, feasibility, and ROI.
End‑to‑end agent design and secure AWS‑native implementation including workflow decomposition, agent planning and memory, tool and API integration, and use of Amazon Bedrock and AgentCore.
Built‑in governance and scale‑out readiness with human‑in‑the‑loop controls, evaluation results, documentation, and a clear roadmap for safe production deployment.
Agent build and provenance
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Sources
Linked repositories
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