Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Meet DaySmart
DaySmart is a global vertical SaaS provider serving over 30,000 businesses across recreation and fitness, pet and animal care, beauty and wellness, automotive, healthcare, government and SMB markets. For over 20 years, the company has developed purpose-built business management platforms that enable organizations to manage appointments, staff, payments, client communication, schedule classes and facilities, and operate more efficiently. Its product suite includes DaySmart Appointments, TeamUp, BoxMate, Sawyer, DaySmart Vet, DaySmart Pet, Time To Pet and industry-specific solutions. The company's approach is tailored, not generic, with every product category having unique operational, financial and scheduling patterns.
The Challenge
DaySmart needed to operationalize AI across multiple vertical SaaS platforms that produce different data behaviors and KPIs. Early experiments with ChatGPT lacked production-grade integration, security controls, and automation. The company also faced fragmented cloud ownership across acquired products, requiring unified visibility and governance as AI workloads increased.
The Solution
DoiT's Gen AI Cloud Accelerator provided structured discovery, collaborative use-case design, and hands-on implementation support. DoiT designed a serverless architecture built on AWS Lambda, ECS Fargate, API Gateway, and other AWS services, creating scalable pathways for LLM-driven intelligence. The solution included unified cloud governance through Cloud Intelligence™ and AWS Well-Architected practices.
Results
- Shipped AI capability in 90 days with zero engineering lift, preserving internal roadmap focus
- Unified cloud visibility across disparate environments for platform-wide decision making
- Established future-proof AI foundation for vertical intelligence across all product lines
- Reduced senior leadership time managing infrastructure, enabling focus on strategic AI programs
Working with DoiT gave us the speed of a startup and the rigor of an enterprise R&D lab. We launched an AI feature in ninety days with zero engineering lift, unified our cloud visibility across multiple products and built a foundation to scale AI responsibly.
Tim Green, SVP of AI, DaySmart
Collaborative Discovery and Architecture
The partnership began with DoiT's Cloud Accelerators GenAI discovery phase, aligning strategic AI goals with executable technical plans. DoiT designed a modern, serverless architecture built on AWS Lambda, ECS Fargate, API Gateway, CloudWatch, IAM, Secrets Manager, and CDK, unified by an MCP-based data access layer. This created scalable pathways to ingest large datasets, transform them through LLM-driven intelligence, and return actionable insights. The solution implemented a hybrid data approach, retrieving summarized monthly information and selectively diving deeper when needed to reduce noise while preserving accuracy.
Governance and Zero-Engineering Execution
DoiT supported DaySmart in embedding governance aligned to AWS Well-Architected practices, making infrastructure auditable, secure and scalable. Cost exposure from AI loops and usage spikes is detected through CloudWatch and Cloud Intelligence™. A key achievement was enabling DaySmart to launch a functional AI experience without diverting internal engineering resources. DoiT engineered, deployed, and stabilized the initial production system while DaySmart's engineers continued their existing roadmap, shipping an AI capability in ninety days with zero engineering lift.
Results and Future Vision
DaySmart achieved faster time-to-value with 90-day AI delivery, unified cloud visibility across acquired product lines, and operational efficiency without compromising innovation. The new architecture establishes a future-proof foundation for vertical intelligence across all product lines, enabling context-aware insight generation tuned to each industry. The platform supports self-serve analytics, conversational interfaces, and flexible reporting backed by scalable LLM execution. DaySmart plans to expand conversational AI capabilities, embed proactive business coaching, accelerate international deployments, and democratize AI internally for non-technical teams.
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What they say
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