Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
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Meet Promptly
Promptly is a fast-growing patient-engagement and workflow automation platform used by thousands of medical practices across the United States. Designed to streamline clinical operations, reduce administrative strain, and improve patient experience, Promptly helps practices manage communication, scheduling, digital intake, payments, reminders, and two-way messaging from a single connected hub. Founded by CEO Dr. Anish Kapur, Promptly has become a critical part of the clinical workflow for practices where operational efficiency directly affects patient outcomes.
The Challenge
Promptly needed to launch a strategic AI-driven feature for predictive patient engagement while managing rapid growth and strict healthcare compliance requirements. The team faced pressure to execute quickly without compromising infrastructure stability or delivery speed for mission-critical workflows used by thousands of medical practices.
The Solution
DoiT's GenAI Accelerator provided collaborative development support, cloud architecture expertise, and AWS funding to build a scalable AI capability. The solution included secure model-execution pipelines, robust integration patterns, explicit guardrails for healthcare settings, and monitoring systems for safe clinical deployment.
Results
- Compressed 3-4 month development timeline into weeks using DoiT's Accelerator
- Built production-ready AI feature with deterministic outputs safe for healthcare workflows
- Enabled new premium revenue stream through AI-powered patient engagement automation
- Freed engineering resources to continue delivering on customer commitments
DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.
Dr. Anish Kapur, Founder & CEO, Promptly
Building the AI Foundation
DoiT worked with Promptly to design a production-ready environment capable of supporting the new AI feature with enterprise-grade reliability. The team focused on robust, secure request handling for patient-dependent workflows, reliable integration patterns with existing APIs, scalable model execution tuned for real-world performance, explicit guardrails to reduce hallucination risk, and monitoring systems for safe deployment in healthcare settings. A critical breakthrough was implementing prompt-chaining and validation layers that produced uniform, machine-readable outputs on every execution.
Collaborative Development
The working rhythm between Promptly and DoiT evolved into a tight, high-velocity co-development loop. Teams used shared Slack channels, real-time testing feedback, and iterative refinement based on real practice data. DoiT's GenAI Accelerator and AWS funding dramatically reduced cost barriers and made expert-level AI development accessible. The collaboration compressed what would typically be a 3-4 month internal build into a matter of weeks, preventing major opportunity-cost delays across the product roadmap.
Production-Ready Results
The refined AI pipeline now produces stable, structured results that outperform Promptly's early prototypes. The feature generates reliable insights in a fraction of the time required by manual analysis, with deterministic outputs safe for production workflows. Promptly achieved $600K in annual cloud cost savings while building a foundation for future AI capabilities. The company plans to use the AI internally to support customer success teams, allowing CSMs to generate personalized insights rapidly instead of spending hours analyzing data manually.
What's Next
Promptly and DoiT continue working together on new AI capabilities that extend the system beyond tactical recommendations into broader strategic insights. Future iterations may include creative analysis, anomaly detection, advanced patient-workflow reasoning, and deeper cross-system pattern detection. Promptly plans to use its annual consulting relationship with DoiT for ongoing AI innovation, relying on the partnership for technical execution, product thinking, and long-term architectural strategy.
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