Author
Kemi Olunloyo
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Missed Part 1? Start here →
The phishing email has been forwarded. Your client's inbox is chaos. Now the phones start ringing.
And here's the part nobody outside the MSP world fully appreciates: the incident doesn't hit your client's business alone. It hits yours.
Before a single ticket is properly logged, your Level 1 tech is already juggling five simultaneous calls. Each user has a slightly different version of events. Someone definitely clicked the link. Someone else thinks they might have. A manager is demanding a status update in real time. Another employee is calling back to say they forwarded it to a vendor.
Your tech is simultaneously trying to scope the incident, document it accurately, notify the right internal stakeholders, and begin containment while the phone keeps ringing.
Every minute of that chaos is unbillable, untracked, and compounding.
This is where MSPs quietly bleed margin; not in the dramatic, headline-grabbing incidents, but in the cascading weight of human error events that are entirely predictable and yet somehow feel like a surprise every time they hit.
The problem is structural. Manual triage during a live phishing incident means inconsistent documentation, delayed containment, and techs burning SLA hours on information gathering instead of resolution. By the time the dust settles, you've absorbed hours of unrecoverable time across multiple staff members for an incident that started with one forwarded email.
And the real gut punch? This will happen again. With a different client. A different email. The same operational chaos.
MSPs that treat each phishing incident as a one-off fire drill never build the infrastructure to handle the next one faster. The margin loss is real, recurring, and entirely preventable — but only if the response changes.
In Part 3, we get into exactly how AI triage is changing the phishing response equation for MSPs — compressing incident timelines, protecting margins, and delivering consistent guidance at first contact, every time.
→ Read Part 3: How AI Triage Transforms MSP Phishing Response
