For all the talk of AI among MSPs (and just about everyone else), integrating it into business operations remains challenging. One of the biggest issues is that as AI transforms workflows, people need to align with the transformation. Many MSPs are unprepared for that alignment.

This is the paradox: people expect AI to reduce and lighten the workload, but in the initial phase, it usually does not. At first, it often creates more workloads, for example exceptions, escalations, and more work requiring judgment. AI tends to be a magnifying glass, revealing long-standing operational issues that have accumulated over time.

The Senior Engineer Bottleneck

Many MSPs depend on a small group of senior engineers who hold the deepest institutional knowledge, such as historical decisions, undocumented workflows, and the customer‑specific context that the rest of the operation relies on. When AI flags unusual situations or suggests actions that need context, these issues usually end up with the senior team. They’re the only ones who have the authority and insight to make those calls.

At this stage, AI doesn’t ease their workload. It actually adds judgment-based tasks for them because they have the necessary experience and decision-making power. The senior team’s heavy workload is directly linked to making AI effective within MSPs, as AI-driven tasks consistently escalate to those with the deepest knowledge.

How Early AI Deployments Increase Escalations

Early AI tools often make recommendations or flag exceptions requiring contextual judgment. In many cases, the technician handling the alert may not have full visibility into the customer’s environment, the historical decisions behind a configuration, or the downstream impact of taking a particular action.

When that context is lacking, escalation is the appropriate and expected step, which increases the volume of items routed to senior engineers in the early stages of AI adoption. This isn’t about capability; it’s about context and authority. Early AI adoption naturally increases escalations and concentrates judgment-based work on senior engineers.

Bob Takacs

AI Increases Exceptions Before It Reduces Them

Most operators expect AI to automate the middle of the workflow. In practice, AI first exposes the edges -- the inconsistencies, the undocumented steps, the “we’ve always done it this way” logic that lives in people’s heads.

As a result, every inconsistency that comes up turns into tickets, escalations and workflow redesign projects. Because AI brings these hidden problems to the surface, resolving long-standing operational issues is a prerequisite to automation benefits.

Workflows, Not Tools, are the Real Unlock

The MSPs that are moving ahead are not just adding more AI. They are reworking their processes to align with their teams' strengths and limitations.

Three patterns are emerging:

• Reduce the cognitive load through meaningful decision paths.
• Codifying institutional knowledge, making it available to everyone, so senior engineers are not the only ones who can act.
• Embed AI into workflows rather than just layering it on top of them.

The third key takeaway: AI’s real value emerges only when MSPs focus on reshaping work processes.

The Workforce Constraint Paradox

Here’s the paradox: deploying AI into an MSP’s operations usually requires more headcount at the start, not less. Therefore, this requires MSPs to:

• Retrain staff.
• Redesign workflows.
• Rebuild governance.
• Reallocate senior engineering time.
• Re‑sequence the business priorities.

Key takeaway: AI reduces workloads only after foundational changes are in place.

The Path Forward

The MSPs that will succeed in the future are those that see AI as a way to transform their teams, not just as another tool. They know that:

• AI is only as strong as the workflows it sits inside.
• Workflows are only as strong as the people who execute them.
• People are only as strong as the governance that supports them.

Key takeaway: Overcoming workforce constraints is the core challenge to MSP modernization with AI.

(Bob Takacs is managing partner of Ascot Morgan, a global insights firm specializing in the SMB IT market.)