UpTempo Group is a healthcare technology company that turns fragmented clinical and commercial data into insights for major life sciences organizations. It provides critical insights from complex, interconnected healthcare data to major organizations like Johnson & Johnson, but unlocking those insights required technical staff to query complicated database systems. ASCENDING built a Jarvis-powered, AWS Bedrock data agent platform that lets business users ask questions in plain language, eliminating more than 100 hours of manual data analysis every month.
BackgroundHealthcare Data Locked Behind Technical Gatekeepers
UpTempo Group is a healthcare technology company that helps major organizations, including Johnson & Johnson, make sense of complex, interconnected healthcare data. The company wanted to change how its clients access and understand that data, moving beyond technical barriers so business users at every level could extract actionable insights quickly and confidently, rather than routing every question through a technical team.
The ChallengeFragmented Data and Technical-Only Access
The challenge is fragmented healthcare data that only technical staff could reliably access, which throttled how quickly UpTempo Group's clients could get answers. UpTempo Group's ability to deliver value to healthcare clients was constrained by how difficult its underlying data was to access and reconcile.
- Business users needed technical expertise to query complicated database systems, which limited data adoption across the organization.
- Healthcare information was fragmented across multiple interrelated databases, making it hard to get complete, accurate answers to even simple questions.
- Any solution had to support secure, multi-client access while scaling to serve large enterprise accounts.
- UpTempo needed an intelligent platform that could democratize data access without compromising security or accuracy.
AWS Bedrock Depth Plus Jarvis Enterprise AI Governance
ASCENDING is an AWS Advanced Consulting Partner with Generative AI Competency, built around its flagship Jarvis platform for governed, customer-hosted enterprise AI. That combination gave ASCENDING both the AWS Bedrock depth to build an intelligent data agent and the governance model needed to serve multiple enterprise healthcare clients securely from one platform.
That fit between AI capability and enterprise-grade governance made ASCENDING the right partner to help UpTempo Group turn fragmented healthcare data into a natural language experience its clients' business users could trust.
The SolutionA Jarvis-Powered Data Agent on AWS Bedrock
The solution is a natural-language data agent that lets non-technical healthcare users query fragmented records directly. ASCENDING designed and implemented an intelligent, AI-powered data agent platform on Amazon Bedrock that transforms how UpTempo Group's healthcare clients interact with their data.
- Users ask questions about healthcare data in everyday language, and the platform translates those questions behind the scenes, gathers information from multiple sources, and returns clear, actionable answers with no technical knowledge required.
- The data agent maps relationships between healthcare entities such as physicians, organizations, and payments, automatically connecting the dots across fragmented databases through an Amazon Bedrock Knowledge Base to deliver rich, meaningful insights.
- ASCENDING built the platform on a scalable multi-client architecture, letting one central platform securely serve multiple enterprise clients simultaneously while keeping data private and reliable.
- The platform integrated with UpTempo's existing identity infrastructure and workflows, and a working proof of concept was delivered in just four weeks.
Faster, Non-Technical Access to Healthcare Insights
The outcome is faster, governed access to healthcare insights that freed technical staff from routine data requests. The new data agent platform gave UpTempo Group's clients a faster, non-technical path to healthcare insights governed by Amazon Bedrock Guardrails for accuracy and safety, cutting a substantial amount of manual analysis work while positioning the company as an innovator in the space.
- Delivered a working proof of concept in just four weeks.
- Eliminated over 100 hours of manual data analysis work per month for clients.
- Gave non-technical users, from analysts to executives, direct access to critical healthcare insights.
- Scaled the platform to serve multiple enterprise customers with capacity for significant future growth.
- Enabled faster, more confident data-driven decisions without technical dependencies.
- Positioned UpTempo Group as an innovator in user-friendly healthcare data solutions.
Built with Jarvis AI on AWS Bedrock
Frequently Asked Questions
How long does it take to deliver a healthcare data agent like this on AWS Bedrock?
Timeline is a phased rollout that starts with a scoped proof of concept — UpTempo Group's working POC was delivered in just four weeks — before scaling the same platform to additional enterprise accounts.
How is data kept secure and isolated across multiple enterprise healthcare clients on one platform?
Security is enforced at the identity layer using AWS Cognito alongside UpTempo Group's existing Microsoft Azure Active Directory integration, so each client's data stays isolated even though every account runs on the same underlying platform.
Does the platform still require technical staff to get accurate answers?
No — business users query the data directly in plain language. The knowledge base and guardrail layers built into the agent handle the technical translation, cross-database lookups, and answer validation behind the scenes.
