How to Implement SLA Management Software
Written by Martin Hulbert, Chief Technology Officer, Ignite Technology
You’re scanning your portfolio health and the department appears to be a well-oiled machine. But then, an email hits your inbox from a Tier-1 stakeholder: “We’re three weeks behind, and no one can tell me why the response times have tripled.”
For Project Portfolio Managers, the gap between perceived performance and contractual reality is where reputations falter and frustrations start to rise. We’ve all been there, relying on manual spreadsheets and best-effort reporting that only tells us there’s a fire after the building has already burned down.
Implementing SLA management software can help you reclaim the narrative of your portfolio. While the word ‘implementation’ often conjures images of disrupted workflows and integration nightmares, the reality should be more empowering.
A structured rollout ensures that this system doesn’t become a hurdle for your team, but rather a reliable partner that predicts breaches before they happen and helps you to protect client trust.
What Are the Common Mistakes of Setting Up SLA Software
Mistakes usually happen long before the first line of code is integrated.
Setting Unrealist Targets
One of the biggest pitfalls during the initial configuration stage is setting unrealistic targets. If your SLAs don’t reflect reality, your software will simply spend all day telling you that you are failing. SLAs should reflect attainable operational realities. If benchmarks are set without historical context, the software will merely report a perpetual state of non-compliance, which provides no actionable value.
Excessive Data Collection
Many organisations fall into the trap of excessive data collection. Monitoring every granular metric creates unnecessary noise that can obscure the performance indicators that matter. Successful implementation prioritises high-value workload analytics over low-value data points.
Low-value data points might include number of tickets or average response times. High-value data points encompass Mean Time to Resolution, which shows the time it takes to resolve an issue and provides an indicator of whether customer service satisfaction is on or off track. Another positive metric is the financial cost of any SLA breach. While you want to avoid an SLA breach in the first place, seeing how much money is being spent on penalties is an important financial metric to monitor.
Not Having Team Buy-In
Ignoring the human element also means your team may not understand why they are tracking certain metrics. The solution in this instance is to communicate the what and why of your metrics. Ensure only the data that really moves the needle is tracked and monitored.
How Does Implementation Differ Between Software?
The technical requirements for deployment often vary based on the specific automation architecture in place.
When implementing Automic, for instance, the objective is typically to achieve comprehensive visibility across the entire workload automation system. The software must be configured to communicate seamlessly with existing job schedulers to ensure real-time status updates.
The AAI (Automic Automation Intelligence) implementation prioritises predictive workload analytics. The focus shifts from retrospective reporting to proactive intervention. This involves configuring the system to identify potential breaches before they occur, allowing teams to remediate issues before they impact the business.
Step-By-Step Guide to Implementing Your SLA Software
Step 1: Plan for Impact
Identify which processes are actually tied to your revenue or client satisfaction. Do not try to automate every SLA at once. Start with the three most impactful ones.
Step 2: Organise Your Data
Your workload analytics will only be as good as the data you feed them. Clean up your naming conventions in your job scheduler first. This prevents confusion later.
Step 3: Set Risk Warnings
Avoid only setting alerts for when an SLA is breached. That is too late. Set at risk warnings at 50% and 75% of the elapsed time. This gives your team a chance to intervene
Step 4: Connect to Job Schedulers
Connect your SLA management software to your enterprise job schedulers. This ensures that if a batch job fails, the SLA dashboard reflects it immediately.
Step 5: Test the System
Test the system on a non-critical department first. Observe how the workload analytics perform under pressure. Adjust your thresholds based on this real-world feedback.
Step 6: Review SLAs Regularly
Review your performance and SLAs every quarter. If you’re reaching 100% of your targets every time, your targets might be too easy. If you’re always failing, they are too hard.
How Can Ignite Technology Help
Digital transformation is easier with a partner who has been there before. At Ignite Technology, we bring over 20 years of experience to your SLA management software integration. We’re an Expert Advantage Broadcom partner, meaning we have proficient understanding of Automic and AAI.
We’ve helped over 50 enterprise clients navigate complex integrations. Our consultants provide full integration support, including bespoke set-ups. We can reduce implementation by months because we already know where the common roadblocks are. Our goal is to help you get the most out of your solution with a quick turnaround and minimal disruption.
Book a demo or get in touch today to streamline your automation journey.
