Quantiphi's Agentic AI Readiness Workshop
Quantiphi · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Quantiphi’s Agentic AI Readiness Workshop is a focused 3-day professional services engagement designed to help organizations identify, prioritize, and plan autonomous AI agents using AWS-native services, including Amazon Bedrock and AgentCore.
Delivered as a guided discovery and assessment workshop, the engagement evaluates business processes, data readiness, existing AWS environments, and operational challenges to determine suitability for agentic AI architectures built on AWS. The workshop helps customers understand how AgentCore, Amazon Bedrock, AWS Lambda, and Amazon S3 can be leveraged to design scalable, secure, and production-ready autonomous agent workflows.
Show the rest of the publisher’s description (12 more lines)
**Workshop Activities**:
- Review business objectives, operational processes, and automation opportunities suitable for agentic AI on AWS
- Assess data availability, quality, governance, and integration readiness using AWS data services
- Evaluate data freshness and latency requirements to determine real-time vs. batch-driven agentic workflows
- Assess cloud architecture and readiness for agentic AI using AgentCore and Amazon Bedrock
- Identify and define agentic AI use cases aligned to enterprise priorities
- Outline agent concepts, interaction patterns, and high-level AWS architecture considerations
**Deliverables & Outcomes**:
- Prioritized list of agentic AI use cases aligned to business objectives and AWS capabilities
- Agentic AI readiness assessment covering data, platforms, and tooling on AWS
- Comprehensive documentation capturing workshop insights, agent definitions, and AWS architecture considerations
- High-level roadmap outlining recommended next steps for agentic AI adoption and deployment on AWS
Highlights
Highlighted by the publisher on AWS Marketplace.
Strategic opportunity identification – A focused discovery session to pinpoint high-impact, autonomous AI agent use cases aligned specifically to your core business objectives.
Technology readiness and architecture assessment – A deep-dive evaluation of your current platforms, data maturity, and cloud capabilities to support scalable Agentic AI deployment.
Actionable roadmap and comprehensive documentation – Delivery of a prioritized adoption plan, agent definitions, and architectural recommendations to accelerate your time-to-value.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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