Building AI Automation in Existing Workflows
Case Study
Client
SnapCare is a healthcare staffing agency and workforce platform that connects clinicians with healthcare facilities through a fast, technology-driven marketplace. Their innovative approach helps healthcare organizations optimize their core staff and seamlessly bring on contingent professionals to meet fluctuating labor demands.
Business Goals
SnapCare set out to explore generative AI capabilities that could enhance operational efficiency and streamline document processing across its staffing platform. With rapid growth and an expanding client base, SnapCare aimed to automate key aspects of document verification: a process that was time-intensive and essential to maintaining compliance and speed in healthcare staffing.
Having previously worked with SOLTECH for recruiting and technical staff augmentation, SnapCare turned to the team once again, this time for advanced AI consulting and implementation support. They needed a partner who could design and build out AI capabilities that would significantly reduce manual verification time while improving operational accuracy and scalability.
Their goal was clear: to leverage AI to reduce manual effort, accelerate document verification, and maintain the accuracy and integrity required in healthcare operations.
Business Challenge
Integrating AI into an existing staffing workflow required deep technical expertise and a clear understanding of SnapCare’s business model and data ecosystem. The challenge was in aligning innovative generative AI models with real-world operational needs and ensuring a seamless transition for internal teams.
SnapCare needed to design a generative AI solution capable of auto-verifying complex healthcare documentation.
“Our experience working with SOLTECH was highly positive overall. Their talent, skills, and the sophisticated experience levels that we worked with in our teams stood out.“
– First Hussain, CTO, SnapCare
Solutions
SOLTECH partnered with SnapCare to provide AI consulting, IT staff augmentation, and recruiting support tailored to their business objectives. The collaboration began with in-depth discovery sessions, where SnapCare shared their vision, requirements, and existing system documentation.
From there, SOLTECH identified and placed AI specialists into SnapCare’s team: professionals with deep expertise in machine learning, natural language processing (NLP), and large language model (LLM) integration. They collaborated closely with SnapCare’s internal team to design and build a generative AI-based document processing service.
Key steps in SOLTECH’s solution delivery included:
- Conducting initial proofs of concept to validate AI models and align outcomes with SnapCare’s business goals
- Designing an intelligent document processing pipeline that could auto-verify information across multiple document types
- Integrating the AI solution seamlessly with SnapCare’s existing workforce management systems
- Delivering robust documentation and iterative improvements throughout the development cycle
By combining strategic AI consulting with advanced engineering capabilities SOLTECH helped SnapCare achieve both immediate productivity gains and a scalable framework for future innovation.
Project Highlights
- Enabled data-driven transformation through a custom AI solution, achieved by integrating SOLTECH’s AI consulting strategy, staff augmentation, and recruiting expertise.
- Designed and implemented a generative AI document processing service
- Achieved 70% auto-verification accuracy across multiple document types
- Reduced manual processing time by 65%, enhancing overall team efficiency
- Provided full project documentation and proof-of-concept validation
- Integrated seamlessly into SnapCare’s workflows using Jira, Confluence, and Slack
- Maintained on-time, on-budget delivery while ensuring high team cohesion and collaboration
Impact
The collaboration between SOLTECH and SnapCare led to transformative operational improvements. With the new AI-based document processing system, SnapCare reduced manual verification time by 65%. This enabled their teams to focus on higher-value tasks such as client service and strategic staffing initiatives.
The 70% automation rate in document verification not only improved turnaround times but also set a new benchmark for efficiency within their industry. Beyond the measurable outcomes, SnapCare gained a scalable AI infrastructure that can evolve with future needs, supporting ongoing digital transformation across their platform.
