artificial intelligence insights
PR Newswire
Published on : Jun 5, 2026
TQA, a services firm focused on agentic AI and enterprise automation, has appointed veteran technology executive Matt Morse as chief executive officer, marking a leadership transition as the company seeks to expand its position in the rapidly evolving AI services market. Founder Tom Abbott will move into a board member and advisor role, while the company also disclosed a new equity financing round expected to close in the coming weeks.
The leadership change comes as enterprises increasingly move beyond AI experimentation and begin deploying autonomous software agents designed to automate business processes, support decision-making, and augment employee productivity.
TQA, founded in 2020, specializes in agentic AI and automation services, helping organizations implement AI-powered workflows and enterprise automation initiatives. The company said the appointment of Matt Morse reflects its intention to scale operations and expand its presence across major enterprise technology ecosystems, including Microsoft, UiPath, and ServiceNow.
Morse brings more than two decades of experience in technology consulting and digital transformation services. He most recently served as Chief Operating Officer at 3Cloud, a Microsoft-focused cloud services provider that expanded from a small startup into a business with more than 1,000 employees before being acquired by Cognizant. Earlier in his career, Morse held leadership positions within the Microsoft consulting ecosystem, giving him experience managing large-scale enterprise technology deployments.
The appointment arrives during a period of heightened demand for agentic AI solutions. Unlike traditional automation software, agentic AI systems are designed to independently execute multi-step tasks, coordinate workflows, and interact with enterprise applications with minimal human intervention. The technology is increasingly being viewed as the next stage in enterprise AI adoption, following the rapid growth of generative AI platforms over the last several years.
For organizations investing in digital transformation, agentic AI has become a strategic priority because it promises to bridge the gap between AI-generated insights and real-world execution. Enterprises are exploring how AI agents can automate customer service operations, IT support processes, employee workflows, marketing operations, and business process management across complex technology environments.
TQA reported strong growth metrics ahead of the executive transition, including a 51% increase in year-over-year bookings and 12% quarter-over-quarter revenue growth. While the company did not disclose revenue figures or financing details, the announcement suggests TQA is positioning itself to capitalize on growing enterprise demand for AI implementation services.
The broader market context supports that strategy. According to research from Gartner, spending on generative AI and intelligent automation technologies continues to accelerate as organizations seek measurable business outcomes from AI investments. Meanwhile, IDC projects enterprise AI spending to expand significantly through the remainder of the decade as companies move from pilot projects to production deployments.
Industry analysts increasingly view services firms as critical players in enterprise AI adoption. While technology vendors such as Microsoft, Salesforce, Google, Amazon, Adobe, ServiceNow, and UiPath continue to introduce AI-powered platforms, many enterprises lack the internal expertise needed to integrate those capabilities into existing workflows and operating models.
This creates an opportunity for specialist consulting and implementation firms that can connect AI technologies with business processes. TQA's focus on building what it describes as "agent-enabled workforces" reflects a growing industry trend in which AI agents operate alongside human employees rather than replacing them outright.
The company's roadmap under Morse centers on expanding relationships with key enterprise software vendors. Planned initiatives include deeper collaboration with UiPath, ServiceNow, and Microsoft, as well as investments in delivery capabilities and internal tooling designed to support larger-scale customer deployments.
These partnerships are strategically important because enterprise AI adoption increasingly depends on interoperability across technology stacks. Organizations deploying AI agents often require integrations between cloud platforms, workflow automation systems, customer relationship management tools, and business applications. Vendors such as Microsoft and ServiceNow have been investing heavily in AI copilots and autonomous agent frameworks, while UiPath has expanded its automation portfolio to include agentic AI capabilities.
For enterprise marketing and operations leaders, the announcement highlights a broader shift occurring across the software landscape. AI is no longer viewed solely as an analytical tool or content-generation engine. Instead, businesses are evaluating how autonomous agents can execute tasks, orchestrate workflows, and support operational decision-making at scale.
The financing round accompanying the leadership transition could provide TQA with additional resources to expand internationally and strengthen its consulting, implementation, and managed services capabilities. As competition intensifies among AI services providers, operational scale and delivery expertise are likely to become key differentiators.
With enterprise demand for agentic AI continuing to rise, TQA's executive transition signals confidence in the long-term growth potential of AI-powered workforce transformation. The company's next phase will likely be measured by its ability to help organizations move beyond AI experimentation and achieve tangible business outcomes through large-scale deployment of autonomous agents and intelligent automation technologies.
The agentic AI market is emerging as one of the fastest-growing segments of enterprise technology. Gartner has identified autonomous AI agents as a major strategic technology trend, while IDC forecasts continued double-digit growth in enterprise AI spending as organizations operationalize generative AI investments.
The market is becoming increasingly competitive, with technology giants including Microsoft, Google, Amazon, Salesforce, Adobe, ServiceNow, and UiPath investing heavily in AI agents, workflow automation, and enterprise orchestration platforms. This has created growing demand for implementation specialists capable of integrating AI technologies into real-world business environments.
For enterprises, the challenge is shifting from acquiring AI tools to achieving measurable business outcomes. As a result, services firms focused on AI deployment, automation strategy, and workforce transformation are becoming increasingly important participants in the enterprise AI ecosystem.
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