Digital Air Strike is a marketing technology company that provides AI-powered customer engagement solutions to the automotive and powersports industries. It had already given its teams natural language access to their data warehouses through an OpenAI ChatGPT-based assistant, but as usage scaled across the organization, routing sensitive dealership and customer data through external AI infrastructure became a growing liability. ASCENDING migrated that assistant to a fully managed, Jarvis-powered solution on AWS Bedrock, giving Digital Air Strike the same conversational data access with complete data sovereignty and over $300K in monthly productivity gains.
BackgroundAn OpenAI-Based Assistant That Outgrew External AI Infrastructure
Digital Air Strike is a leading technology and marketing company specializing in AI-powered customer engagement solutions for the automotive and powersports industries. To let non-technical staff query complex data warehouses in plain language, the company had rolled out an OpenAI ChatGPT-based natural language querying solution that scaled across the organization.
That solution worked, but it depended entirely on OpenAI's external infrastructure to process business-critical dealership and customer interaction data, a dependency that became harder to justify as adoption grew.
The ChallengeData Sovereignty Risk in a Growing OpenAI Dependency
The challenge is a widening gap between the natural language experience Digital Air Strike's teams depended on and the data-sovereignty risk of processing that data outside AWS. As usage of the OpenAI-based assistant expanded, the tradeoffs of relying on external AI infrastructure became critical rather than theoretical.
- OpenAI's external infrastructure exposed sensitive customer interaction data to third-party systems, creating data privacy and security risk.
- Routing business-critical dealership data through external APIs raised regulatory and compliance concerns.
- Dependence on OpenAI's infrastructure meant zero control over data residency, model behavior, or service availability.
- Digital Air Strike needed to preserve the same natural language capabilities its teams had come to rely on while moving processing entirely inside its own AWS environment.
An AWS Bedrock Partner Built for In-House Generative AI
ASCENDING is an AWS Advanced Consulting Partner with Generative AI Competency, and its flagship Jarvis platform is purpose-built for exactly this kind of migration: bringing enterprise generative AI capability in-house without sacrificing natural language functionality. Because Jarvis is powered by AWS Bedrock and deploys directly into a customer's own environment, ASCENDING could offer Digital Air Strike complete data sovereignty rather than a hosted, shared-infrastructure workaround.
That combination of AWS Bedrock depth and a governed, customer-hosted AI platform made ASCENDING the right partner to move Digital Air Strike off OpenAI without disrupting the teams already depending on natural language data access every day.
The SolutionA Jarvis-Powered Migration to AWS Bedrock
The solution is a full migration of Digital Air Strike's AI assistant off OpenAI and onto a Jarvis-powered, AWS Bedrock-native architecture. ASCENDING migrated Digital Air Strike's AI assistant from OpenAI to a fully managed, Jarvis-powered solution running entirely on AWS Bedrock inside Digital Air Strike's own AWS environment.
- Users across all departments continued interacting with complex data warehouses using simple, conversational language, with no SQL knowledge required, while every query and AI processing step now ran entirely inside Digital Air Strike's AWS environment.
- ASCENDING connected Jarvis to Amazon Bedrock's advanced foundation models, giving the assistant stronger semantic understanding of business terminology, context, and nuanced, multi-turn questions.
- Authentication and governance were tied into Digital Air Strike's existing identity infrastructure, with Bedrock Guardrails and a governed MCP gateway enforcing security and access policy around every AI interaction.
- The full transition from OpenAI to AWS Bedrock was completed in under two weeks, with zero disruption to the teams already relying on the assistant day to day.
Data Sovereignty and $300K+ in Monthly Gains
The outcome is a secure, in-house AI assistant that preserved the user experience Digital Air Strike's teams relied on while unlocking significant financial upside. Moving to a Jarvis-powered, Bedrock-native architecture gave Digital Air Strike the same natural language data access its teams relied on, now backed by complete data sovereignty and a substantial productivity return.
- Completed a swift, zero-disruption migration from OpenAI to AWS Bedrock in under two weeks.
- Saved teams 80+ hours per week previously spent on manual report generation.
- Generated $300K+ in monthly productivity gains through improved efficiency, eliminated external API costs, and faster decision-making.
- Achieved complete data security, with zero data leakage risk since all AI processing is contained within Digital Air Strike's AWS infrastructure.
- Democratized data access for business users, reducing dependency on technical resources by over 70%.
- Enabled faster, more confident client responses through quicker, more secure access to insights.
Built with Jarvis AI on AWS Bedrock
Frequently Asked Questions
How long does a migration from OpenAI to AWS Bedrock typically take?
Timeline depends on integration complexity, but Digital Air Strike's full migration from OpenAI to Jarvis on AWS Bedrock was completed in under two weeks with zero disruption to the teams already using the assistant daily.
How does moving to AWS Bedrock improve security for sensitive dealership data?
Security improves because all AI processing stays inside the customer's own AWS environment rather than passing through third-party infrastructure, with Amazon Bedrock Guardrails enforcing content and access policies on every request.
Can a Jarvis-on-Bedrock deployment integrate with existing identity systems?
Integration is designed around a customer's existing identity infrastructure, so authentication and governance tie directly into systems like AWS Cognito and Microsoft Azure Active Directory instead of requiring a separate identity layer.
