Sales Data Navigator: AI Agent for CRM Insights on AWS
BLINDSPOT · Marketing & Sales
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Overview**
Adastra's AI consulting engagement for the Sales Data Navigator gives sales and marketing teams instant, self-serve access to CRM and marketing insights using natural language. Built on Amazon Bedrock Agents, the solution interprets user questions, selects the appropriate data source, and delivers answers by translating input into SQL queries for structured CRM data or retrieving documents through a retrieval-augmented generation (RAG) pipeline – eliminating dependency on IT or data teams for routine data requests.
Show the rest of the publisher’s description (25 more lines)
**Approach**
Built with Amazon Bedrock Agents, Adastra delivers a conversational AI agent that simplifies access to CRM and marketing insights. By understanding natural language, the AI agent identifies the appropriate data sources – whether CRM databases or document repositories – and orchestrates the full workflow from data retrieval to insight delivery. The solution combines SQL translation for structured CRM queries and a RAG pipeline for unstructured documents.
**Activities**
- Build and configure an AI agent that supports natural language interaction.
- Connect the agent to CRM systems and marketing data sources.
- Develop SQL translation capabilities to query structured CRM data.
- Implement RAG model integration for unstructured data such as sales docs or briefs.
- Create orchestration logic to select sources and execute queries.
- Deliver a business-facing interface for query input and results.
- Test for accuracy and usability across real-world marketing scenarios.
- Provide documentation, onboarding, and knowledge transfer.
**Deliverables**
- Fully functional AI agent integrated with CRM and marketing systems.
- SQL translator for structured CRM database queries.
- RAG component for unstructured data retrieval (e.g., documents, meeting notes).
- Front-end interface for self-service data access.
- Solution architecture and configuration documentation.
- User guide and knowledge transfer session.
**Outcomes**
- Business users can query CRM data using natural language, reducing ad hoc data requests to IT or BI teams and increasing overall productivity.
- Quick access to data supports better targeting and real-time decision-making across key areas including sales performance, customer segmentation, lead and opportunity funnel trends, and sentiment and communication analysis.
- Combines structured CRM data and unstructured sources for richer, more actionable insights.
- Encourages greater adoption and value from existing CRM systems across the organization.
**Adastra: Your AWS Partner for Data, AI, and Cloud**
Adastra is an AWS Premier Consulting Partner with over 25 years of experience delivering data, AI, and cloud solutions across financial services, retail, manufacturing, and distribution. Our AI consulting engagements are grounded in governed data practices and purpose-built for enterprise scale. With deep expertise in Amazon Bedrock, conversational AI, and cloud-native architecture, Adastra gives teams a trusted partner to turn CRM and marketing data into on-demand, actionable insights.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI consulting delivered as a production-ready Amazon Bedrock agent that interprets natural language questions and retrieves answers from CRM systems and marketing data – structured and unstructured – without requiring SQL knowledge or IT support.
SQL translation and retrieval-augmented generation (RAG) combined in a single AI agent, giving business users accurate answers from both CRM databases and unstructured sources such as sales documents, briefs, and meeting notes.
Self-serve access to sales performance, customer segmentation, lead funnel trends, and sentiment analysis – reducing ad hoc data requests to IT and BI teams and increasing productivity across sales and marketing.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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.
Vendor
External enrichment
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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

