Managed AI providers shape the future: What SMBs must understand
The Rise of Agentic AI in Small and Medium Businesses
Artificial intelligence is no longer the exclusive domain of large corporations with vast resources. Organizations of all sizes are now integrating agentic intelligence into their SaaS tools, embracing a new era where workplace systems can operate autonomously to achieve business goals. This transformation has reached a critical point, with 62% of small and mid-sized businesses (SMBs) currently using AI tools, and another 67% planning to increase their AI budgets in the coming year.
In the past, SMBs relied on tools such as CRMs, email suites, collaboration platforms, and accounting software to function effectively. These solutions required constant human input to manage their outputs and extract meaningful insights. In contrast, Fortune 500 companies historically had more manpower and financial resources to support these tools, enabling them to grow more rapidly.
Now, 67% of SMBs believe that AI will be essential for competing with larger enterprises. This shift marks a turning point in the agentic economy, where the playing field is becoming more level for SMBs to compete and scale.
Shifting from Tools to Outcomes
The transition isn't just about adopting AI; it's about rethinking how teams operate. SMBs are moving away from buying individual tools and instead investing in outcomes. They are deploying autonomous AI agents that act as a digital workforce, allowing them to achieve enterprise-level results.
However, this shift requires careful preparation. It's not simply about launching agents into the digital workplace but fundamentally changing how teams work. Here’s how SMBs can take advantage of this change:
Strategic Shift – Focusing on Outcomes vs. Features
Recent data shows that organizations globally are only using around 47% of their SaaS licenses, leading to potential waste of up to $21 million on average. Additionally, businesses are onboarding several new SaaS applications each month, sometimes as many as six.
To reduce tech waste and improve outcomes, SMBs must first address their SaaS and process debt. Instead of evaluating tools based on dashboards or employee experience, they should focus on agents that deliver the final results their teams need.
Start by auditing which tasks consume the most time for lean teams, beyond basic administrative work like managing emails and tracking tasks. Leaders should look for agents aligned with their roadmap—those that can identify new leads, conduct market research, generate analytics, and more.
Beyond automating routine tasks, these agents should provide comprehensive business intelligence, supported by a streamlined SaaS tech stack that minimizes waste and enhances the AI's data foundation.
Aligning with Managed Intelligence Providers
SMBs have traditionally relied on Managed Service Providers (MSPs) to handle IT and SaaS services. These providers act as trusted advisors, guiding implementation, adoption, and maintenance.
As SMBs adopt agentic AI, they need MSPs who go beyond basic troubleshooting and integration. These systems are complex, going far beyond simple AI chatbots, and require a dedicated strategic approach.
Enter the Managed Intelligence Provider (MIP), a new type of partner that acts as an architect of intelligent infrastructure, builder of agentic systems, and orchestrator of business outcomes for AI-driven SMBs. MIPs handle the orchestration of AI agents, curate industry-specific solutions, and guide SMBs in developing agentic strategies.
With 70% of SMBs reporting the need for an external vendor to implement and benefit fully from AI, MIPs will play a crucial role in this shift. They help transform core processes and offer the intelligence needed to scale effectively.
Securing the Human Element
AI tools are not a "set and forget" solution. Agents have the capability to access and modify an organization's entire data environment, requiring clear governance and security measures to ensure they align with business objectives.
In the agentic economy, employees evolve into agentic supervisors, providing the guidance and strategy necessary for these systems to operate safely and efficiently.
Rather than training new hires on manual tasks, invest in training them to manage agents and how to prompt them. This leverages the creative input that AI cannot replicate while building an automated infrastructure that frees up time for human innovation.
The Future of SMBs in the Agentic Economy
This transformation is not a distant prediction—it is already happening in 2026. With the right agentic tools and partnerships with MIPs, SMBs can now compete on equal footing with larger enterprises.
This level playing field opens a new chapter for SMBs, transforming how they drive growth, execute initiatives, and fuel innovation.
