Impact Networking, a national managed service provider, announced the launch of its AI consulting services practice designed to help mid-market organizations move from exploration to measurable business results. Led by Chief AI Officer Jon Evans, the services provide structured support at every stage of AI adoption, including education, readiness assessment, and custom development.
The services are designed to help organizations apply AI responsibly and practically, with a focus on real-world outcomes rather than experimentation. Evans noted that while AI generates significant interest, confusion often accompanies it. The new offerings aim to help businesses understand what's possible, decide what makes sense, and move forward with confidence toward measurable goals.
Impact's AI consulting services are organized around three core offerings. AI Labs provides education through hands-on sessions that introduce practical AI use cases and help teams identify relevant opportunities. Participants take an AI maturity assessment and leave with usable proof-of-concept solutions. The AI Transformation Assessment offers a multi-week structured evaluation covering people, processes, and technology to support scalable initiatives. AI Custom Development focuses on creating and installing purpose-built applications with defined goals and use cases.
Each engagement includes a four-to-six-week introductory pilot program intended to demonstrate tangible value early and establish a clear path to return on investment. The discovery process emphasizes how businesses make decisions, where human judgment remains essential, and how AI can reduce bottlenecks and support better outcomes. Principal Consultant Mike Noonan emphasized that Impact is not merely implementing tools but helping organizations build thoughtful approaches that strengthen how people work.
The AI services were refined over more than a year of field work and internal deployment. During this period, the AI team saved Impact approximately 92,000 hours of work time in 2025. The company also offered early access to select clients before the public launch, including Zero Zone, a commercial freezer, cooler, and refrigeration systems manufacturer.
Sheila O'Neil-Eisert, Zero Zone's Director of the Program Management Office, reported that prior collaboration with Impact AI Labs transformed uncertainty about AI's practical value into clear recognition of its ability to solve real business challenges and drive measurable improvements in efficiencies and accuracy.
This launch builds on Impact's experience delivering managed IT, cybersecurity, and consulting services to mid-market organizations for over two decades. The full AI team includes Senior AI Product Manager Anna DeGiulio, Director of AI Technology Christopher Kukla, Applied AI Engineer Colin Burns, Principal Consultant Mike Noonan, Application Developer Vineeth Kalister, and Lead Data Researcher Dr. Zubia Mughal. Evans, who has been with Impact for nearly 20 years, developed the team as an extension of his background in digital transformation and solution architecture, having spoken at events like the 2025 Data-Driven Wisconsin conference and appeared on industry podcasts and LinkedIn Live series.
For mid-market business leaders, Impact's structured approach addresses a critical gap in the AI adoption landscape. Many organizations recognize AI's potential but struggle with practical implementation and measuring ROI. By providing education, assessment, and custom development within a framework focused on real-world outcomes, Impact aims to reduce the risk and confusion associated with AI projects. The emphasis on measurable results and early value demonstration through pilot programs could help more mid-market companies harness AI effectively, potentially driving industry-wide efficiency gains and competitive advantages. As AI becomes increasingly integral to business operations, services that bridge the gap between exploration and execution will likely play a crucial role in shaping how organizations across sectors leverage this transformative technology.
