The real reason your technicians miss SLAs (and how to fix it with field service optimisation)

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Read this guide to discover the real reason your technicians are missing SLAs and how field service optimisation fixes this.

For B2B coffee and vending operators, SLAs aren’t just formalities; they’re the foundation of client trust. When a machine goes down, every minute counts. But too often, even skilled and dedicated teams struggle to meet response and resolution times. Technicians arrive late, underprepared, or need to return later with the right tools.

These setbacks don’t usually point to poor performance. Instead, they highlight deeper workflow issues. Behind the scenes, many service teams still rely on fragmented tools, scattered data, and manual planning that slow everything down.

Research shows that 83% of high-performing field service organisations use workflow automation, compared to just 68% of underperformers. That edge in efficiency means fewer delays, smoother operations, and happier customers.

Still, when SLAs are missed, the default reaction is to tighten oversight on technicians. But if the real problem lies in how work is assigned, prioritised, and supported, performance pressure won’t help.

This blog explores a better path: how field service optimisation driven by workflow automation can help service teams prevent SLA breaches from the start.

Where SLA breaches actually start: The hidden challenges in field service management

At first glance, it may seem like SLAs are missed out in the field. But the reality is, the clock starts ticking much earlier—the moment a service ticket is logged. And from that point, every inefficiency upstream pushes the SLA closer to breach.

Here are some of the most common upstream issues:

Vague or incomplete ticket details:

Tickets often arrive without an urgency tag, machine history, or context for the issue.

Delayed triaging:

Without a system for auto-triage, tickets sit idle in inboxes waiting for human intervention.

Manual routing:

Dispatch relies on memory or spreadsheets, creating delays and mismatched assignments.

Misaligned communication:

Sales, service, and support teams all use different systems, leading to missed updates and unclear handovers.

Let’s walk through a common scenario:

A ticket gets logged for a coffee machine at a high-volume office. But no one marks it as urgent. It sits in a shared inbox for hours until someone spots it.

When it’s finally assigned, the technician has no idea what model the machine is or what parts might be needed. They arrive late, spend half the visit diagnosing, and have to come back another day with the right parts.

The technician did everything they could. But the upstream process set them up to fail. Because missing SLAs, in most cases, isn’t a people problem—it’s a structure problem.

And it’s exactly what field service optimisation is designed to fix.

How field service optimisation through automation helps with missed SLAs

Fixing SLAs isn’t about more rules or tighter deadlines. It’s about smarter systems. With automation, you eliminate the manual gaps where things go wrong and give your team the structure they need to succeed.

Here’s what modern field service optimisation looks like in action:

SLA timers and early escalations

In many systems, the SLA clock doesn’t start ticking until someone manually picks up the ticket. But by then, it’s already too late.

With automation, timers begin the moment the ticket enters the system. This allows service managers in your team to track response windows in real-time. If a ticket hasn’t been actioned within a set timeframe, the system triggers an escalation, ensuring no ticket sits unseen in someone’s inbox. It’s about reducing human dependency and catching issues early, before deadlines are missed.

Auto-routing for urgent jobs

When high-priority service requests come in, they need to be matched quickly with the right technician. Instead of relying on dispatchers to remember who’s free and nearby, an optimised system uses intelligent rules to assign jobs instantly.

It considers location, skill set, job urgency, and inventory before suggesting the best-fit technician. This means less time juggling spreadsheets and more time resolving issues that matter.

Self-service booking reduces delays

Technician delays don’t always start internally; sometimes they begin with the customer. If a customer misses a call or is unreachable, the ticket stalls. A self-service portal changes that.

Customers can schedule and adjust service times directly through an app or link, removing bottlenecks and reducing the chance of no-access scenarios. It puts power in the customer’s hands while freeing up time for your support team.

Zero-touch SLA protection built into workflows

SLA compliance isn’t something your team should be constantly monitoring; it should be embedded in the system.

With a modern workflow:

SLA rules are coded into the ticket lifecycle,

Alerts notify when thresholds are at risk,

GPS tracking keeps managers informed,

Customers receive automatic updates on technician arrival.

No need for manual check-ins or reminders. The system ensures nothing slips through the cracks.

By embedding SLAs into your workflows, your team doesn’t have to think about compliance. It becomes part of your workflow.

Of course, getting technicians to the job is only half the battle. What happens between dispatch and arrival matters just as much.

What modern field service fleet management actually looks like

Once you’ve streamlined ticket intake and technician dispatch, the next critical area is how your team actually gets to the job. This is where fleet management can either make or break your SLA compliance.

Because your fleet is more than just vans, it’s the heartbeat of your field service. But if you’re still relying on static route sheets or morning briefings, you’re missing the opportunity to optimise.

Modern fleet management means:

Live GPS tracking:

Know exactly where technicians are at any moment.

Smart routing:

Adjust routes based on urgency, traffic, and part availability.

Inventory logic:

Direct technicians to pick up necessary parts en route.

Real-time customer ETAs:

Keep clients informed with automatic updates.

In contrast, traditional fleet operations often rely on outdated methods like static route sheets, morning handovers, or gut instinct. These approaches make it nearly impossible to adapt in real-time.

As a result, technicians waste hours stuck in traffic, show up to jobs without needed parts, or miss visits altogether because of scheduling conflicts. This not only leads to SLA breaches but also burns through fuel budgets, increases wear on vehicles, and adds stress to already stretched teams.

Field service optimisation doesn’t just improve efficiency, it builds accountability, consistency, and trust into every service visit.

But it can feel intimidating to adopt new tools, especially if you’ve been relying on traditional methods like spreadsheets or whiteboards for years. But modern optimisation doesn’t have to mean disruption.

We built Dobby to integrate seamlessly into your existing workflows, supporting your team without overwhelming them. Read on to know more.

How Dobby helps coffee & vending teams optimise field service (without adding more admin)

Dobby was built for B2B service teams who are tired of firefighting—constantly reacting to problems that could have been avoided with the right systems in place.

Whether it’s missed SLAs, disjointed handovers, or the daily grind of manual dispatching, these aren’t signs of poor teams, they’re symptoms of outdated workflows.

Here’s how Dobby turns field service operations from reactive to proactive:

SLA timers and smart escalations:

Dobby automatically tracks SLA windows from the moment a ticket is created. If a deadline is at risk, the system escalates it before it's too late, so nothing slips through the cracks.

Technician routing with mobile app:

Dobby ensures the right technician gets the job, every time, based on location, skills, and part availability. Through the mobile app, they receive full context, directions, and job checklists.

Ticketing with built-in history:

Every service ticket in Dobby includes machine history, past fixes, and photos. This means technicians don’t walk in blind; they’re fully briefed before arrival.

Live machine monitoring:

Dobby integrates with telemetry platforms to spot breakdowns before customers do. This allows teams to act quickly and schedule preventive visits, rather than reacting to angry calls.

Customer communication tools:

From automatic job confirmations to live ETAs and feedback capture, Dobby keeps customers informed every step of the way, without burdening the team.

Dobby doesn’t add layers of complexity. Our tool helps coffee and vending operators optimise their field service workflows. The result is a service operation that’s faster, more predictable, and easier to manage.

Book a call with our experts to see what this can look like for your company.

Picture of Andrew C Whittaker

Andrew C Whittaker

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