Your senior engineer walks in Monday morning, opens the PSA, and sees forty-three tickets in the unassigned queue. Before touching a single client issue, they’ll spend significant time reading descriptions, checking client contracts, cross-referencing SLAs, and deciding who should handle what. By 10:30am, they’ve solved precisely nothing, but they’ve become an expensive sorting machine.
This is triage paralysis, and it’s eating your margins alive. When engineers earning £35,000 to £45,000 annually spend their first two hours each day categorising tickets instead of closing them, you’re burning through your service desk budget before any actual service happens.
HDI benchmarks put average triage handle time at approximately eight minutes for L1 tickets. In an MSP processing significant monthly volumes, that’s two to three engineer hours every day spent just working out what each ticket actually is. Your engineer reads the description, checks the client’s service level, considers which team member has capacity, then assigns and updates the ticket.
But here’s what the benchmarks don’t capture: context switching cost. Every time an engineer stops solving problems to sort through new arrivals, they lose focus on the technical work they were hired to do. Each ticket requires eight minutes to triage, then fifteen minutes to regain focus on complex technical work afterwards.
The real expense isn’t the triage time itself. It’s that your best problem-solvers become administrators by default.
Most MSPs run their service desk through a PSA like Autotask, ConnectWise, or HaloPSA, then wonder why engineers still struggle with ticket prioritisation. The PSA captures the ticket, stores the conversation, and tracks time to resolution. But it doesn’t interpret the actual request.
Engineers end up jumping between the PSA for ticket management, knowledge bases like IT Glue for resolution steps, password vaults like NordPass or Keeper for credentials, client M365 tenants for the actual work, and RMMs like Datto for server issues. Each ticket becomes a research project across multiple platforms before any technical work begins.
The PSA was designed to organise information, not to understand it. When tickets arrive with subject lines like “Can’t access email” or “Printer not working”, an engineer still needs to read, interpret, and categorise before they know whether this is a two-minute password reset or a three-hour network troubleshooting session.
Password resets are consistently cited as the highest-volume L1 request type across MSP benchmarks, yet most service desks handle each one as if it’s the first they’ve ever seen. The engineer reads the ticket, verifies the user’s identity, accesses the appropriate password vault or tenant admin panel, generates new credentials, communicates them securely, confirms login success, then updates the ticket status.
The process becomes automatic, which should make it faster. Instead, it makes it mind-numbing. Engineers trained in network architecture and system administration spend significant portions of their day following password reset checklists. Industry surveys consistently show engineer annual turnover at MSPs running at 30-35%, and the exit interviews don’t usually cite the complexity of the technical challenges.
Tickets arrive through email, phone calls get logged manually, Slack messages need transferring to the PSA, Teams notifications interrupt focused work, and WhatsApp messages from VIP clients bypass the queue entirely. Each channel feels urgent to the person using it, but creates triage overhead for your team.
Ticket variability creates operational inefficiency. When tickets arrive pre-categorised and routed automatically, engineers can work in batches: handle all password resets in sequence, then switch to network issues, then move to software installations. When every ticket is a mystery box requiring investigation before work can begin, engineers spend their day context-switching between different types of problems and different client environments.
Varying SLAs across different client tiers add another layer of complexity. A ticket that looks routine might actually be priority one because it affects a premium client’s operations. Without automated triage that understands client service levels, engineers either over-prioritise everything to be safe, or miss genuinely urgent issues buried in the general queue.
Automated interpretation eliminates most triage overhead. When AI can read incoming tickets, identify the request type, check client service levels, and route to the appropriate engineer or automated workflow, triage time drops from eight minutes to under two minutes per ticket.
Based on UK service desk wage benchmarks and average triage handle times, this reduces triage cost from £7 to £1 per ticket. For MSPs processing significant monthly volumes, that’s meaningful budget freed up for actual technical work rather than administrative overhead.
More importantly, engineers start their day knowing exactly what they’re meant to be working on. Password resets get handled by automated workflows, routine requests get routed to junior team members, and complex technical issues land directly with senior engineers who have the context and capacity to solve them properly.
66% of IT support companies say automation is essential to scale without linear headcount growth, according to MSP Success surveys. The alternative is hiring more people to do more sorting, which doesn’t solve the underlying efficiency problem.
The goal isn’t to eliminate human judgement from IT support. It’s to eliminate human involvement in decisions that don’t require human judgement. When your senior engineers spend their expertise on ticket categorisation instead of technical problem-solving, you’re using expensive resources for work that intelligent automation can handle more consistently and faster.
Starting tomorrow, track how much time your engineers spend reading and sorting tickets versus actually resolving them. The ratio will tell you whether you’re running a technical support operation or an expensive administrative department that occasionally fixes things.
