TQA Refocuses on Agentic AI, Expands Partnerships
Intelligent automation firm TQA announced a new identity focused on agentic AI, citing that 95% of AI projects fail to reach production. The company is expanding its partnerships with Microsoft and ServiceNow to deliver multi-platform AI solutions. The move aims to break the "enterprise AI gridlock" and deliver solutions with real-world results.
- Agentic AI differs from traditional automation and AI-powered BI by enabling software agents to operate with greater independence, make decisions, and learn from their environment to handle complex and unpredictable tasks. This approach aims to redesign, rather than just augment, existing processes by creating an "agent-enabled workforce". - The "enterprise AI gridlock" refers to the struggle companies face in moving AI projects from pilot to production, with up to 95% of initiatives failing to deliver financial results. This is often due to bolting AI onto existing processes, fragmented infrastructure, and challenges at the intersection of velocity and trust, where security and compliance concerns slow down deployment. - TQA's partnership with Microsoft focuses on integrating Copilot, Power Platform, and Azure AI as secure and scalable foundations for enterprise AI solutions. This allows TQA to build AI agents within the Microsoft tools that employees already use, such as Microsoft 365 and Dynamics 365. - The expanded ServiceNow partnership designates TQA as a consulting and implementation partner specializing in Workflow Data Fabric (WDF). This enables TQA to connect a client's data across various systems, making it accessible to AI agents and allowing for the modernization of legacy workflows directly on the ServiceNow platform. - While expanding its partnerships, TQA maintains its top-tier Diamond Partner status with UiPath, which it has held for over six years. This highlights a multi-platform strategy, combining UiPath's automation capabilities with the broader AI and workflow platforms of Microsoft and ServiceNow. - For the healthcare and life sciences sectors, TQA designs agentic AI workflows to handle high-volume, compliance-heavy operations. This includes applications like accelerating revenue cycles, reducing administrative tasks in payer and provider environments, and automating the validation of patient waiting lists. - Founder and Chief Revenue Officer Tom Abbott stated that enterprises struggle because they attempt to "bolt on" AI to existing processes instead of reinventing them for an agent-driven approach. TQA's strategy is to focus on outcome-led solutions that deliver measurable financial impact.
