AI, Accountability, and the MSP: Who Owns the Risk When Things Go Wrong

AI is becoming part of daily operations across MSP environments, but accountability has not kept pace. When AI-driven decisions lead to issues like data exposure, inaccurate outputs, or compliance gaps, responsibility is often unclear between vendors, MSPs, and clients. Most agreements, policies, and processes were not built for this shift, creating a disconnect between how work is done and who is accountable when something goes wrong.