ServiceNow Optimisation Services

What the Optimisation Service Is

ServiceNow Optimisation is a consulting engagement where Oblytech partners with an organization to improve the performance, efficiency, and business outcomes of an existing ServiceNow implementation. This is different from implementation or training. The service assumes you have ServiceNow already running and want to deliver greater value from it. An optimisation engagement focuses on process efficiency, configuration enhancements, adoption improvements, and alignment of the platform with business strategy.

Who Needs Optimisation Services

Organizations are good candidates for optimisation if they have operated ServiceNow for a year or more and find that adoption is lower than expected, processes are still slow or manual, or the platform is not delivering promised benefits. Common triggers include high incident resolution times despite having ServiceNow, service desk agents and users still preferring email or spreadsheets to the platform, inability to report on key metrics with accuracy, or significant time spent on manual tasks that should be automated. Leadership may be questioning whether the ServiceNow investment is justified, or new leadership may want to understand how well the platform is being used.

What Is Delivered in an Optimisation Engagement

An optimisation engagement typically runs through four phases. Discovery involves reviewing how the platform is currently used, interviewing stakeholders across IT, measuring key metrics like incident resolution time and request fulfillment cycle time, and identifying gaps between intended and actual processes. We examine configuration, automation coverage, and whether known features are being used. The discovery phase produces a detailed findings report with prioritized improvement opportunities.

Planning takes those opportunities and sequences them into a roadmap. Quick wins—improvements that require minimal effort and deliver immediate value—are scheduled early. Larger initiatives that require process redesign or team coordination are planned for subsequent phases. We estimate effort, resource requirements, and expected business outcomes for each initiative. The plan balances strategic improvements with practical delivery constraints.

Delivery implements the roadmap. Depending on the scope and organization’s capacity, this may be led entirely by Oblytech, co-delivered with your team, or documented as a backlog for your team to execute with periodic check-ins from Oblytech. Typical delivery includes configuration changes, automation development, process documentation, communication planning, and team coaching. We prioritize transferring knowledge to your team so that improvements are sustainable beyond the engagement.

Handover completes the engagement and ensures continuity. We validate that improvements are working as intended, train relevant teams on new processes or features, document configuration and automation decisions, and establish support mechanisms for any ongoing issues. Success criteria agreed at the start of the engagement are reviewed to confirm outcomes have been achieved.

How an Optimisation Engagement Runs

Engagement length depends on scope and complexity. A small optimisation focused on improving request fulfillment is shorter. A comprehensive optimisation spanning Incident Management, Request Fulfillment, and Knowledge Management across multiple teams takes longer.

An optimisation team usually consists of one or two Oblytech consultants working closely with your platform owner, service desk manager, and key users. Weekly check-ins track progress, review blockers, and adjust plans as needed. Your team is expected to provide access to systems, introduce consultants to relevant stakeholders, and allocate time for interviews and workshop sessions. The engagement succeeds when your team and Oblytech work as a single unit toward shared objectives.

What the Client Provides

You provide access to your ServiceNow instance, documentation of current processes and workflows, and availability of key staff for interviews and working sessions. This includes platform owners, service desk managers, team leads, and sample end users who can describe how they actually use or avoid the platform. You also provide business context: what outcomes matter most to your organization, what constraints exist (budget, timeline, staffing), and what initiatives compete for resources.

Clear executive sponsorship is critical. Optimisation requires making changes to processes and configuration, which disrupts routine operations. Sponsorship signals that management supports these changes and that staff should prioritize them over day-to-day work. Without sponsorship, an optimisation engagement can stall when routine firefighting consumes all attention.

How Success Is Measured

Success criteria are established at the start of an engagement and should be concrete and measurable. Examples include incident resolution time decreasing from current baseline to a target, adoption metrics improving (percentage of IT staff using incident module instead of email), or a specific number of automations implemented that eliminate manual steps. Process improvements might be measured by compliance with SLAs or reduction in escalations. Knowledge improvements are measured by self-service resolution increasing or search effectiveness improving.

Metrics are tracked before the engagement starts, documented during improvement initiatives, and assessed at engagement conclusion. Both quantitative metrics (time, volume, compliance) and qualitative feedback (user satisfaction, perceived efficiency) are valuable. An engagement is not successful if metrics move in the wrong direction or staff perceive that changes have made their jobs harder, even if some metrics improve.

Timeline and Next Steps

Optimisation engagements begin with an initial consultation to understand your current state, challenges, and objectives. A proposal then outlines scope, timeline, resource requirements, and investment. Discovery work can start soon after contracting, with findings and planning completed before delivery begins, and delivery extending as initiatives are executed.

Deciding between tuning what you have and redesigning a process

Once a ServiceNow platform has been running for a while, the question leadership asks is rarely “how do we optimize it?” The sharper question is whether the problem sits in configuration that can be tuned or in a process design that the platform was never shaped to support. Optimization pays off when the underlying process is sound and the platform is simply not used the way it was meant to be. It does not fix a process that everyone has quietly worked around for years, because the workarounds will reappear in the tuned configuration.

One way to check is to ask the people doing the work what they would describe if the platform disappeared tomorrow. If they would describe a clear sequence that the platform should follow, the gap is probably in configuration, adoption or reporting. If they would describe several different sequences that depend on who is working that day, the gap is in the process, and optimization will only polish the variation. Process gaps of this kind are often mapped first in the process design workshops service.

How to build the baseline before anyone changes anything

An optimization is only as credible as its baseline. The steps below are the ones that prevent a common outcome, where improvement is claimed for a metric that was redefined halfway through. For how to record the starting state, see the ITSM process review baseline article.

1. Choose three or four measures that the business already watches, and write down their current definitions, owners and data sources.
2. Pull the historical values for a window long enough to show normal variation, and note any events that distort the period, such as a reorganization or a platform upgrade.
3. Record how each measure is currently produced, including any manual adjustment, so the team knows which numbers are clean and which are estimates.
4. Agree the success criteria in writing before the first change, and state which measures are allowed to get worse without the engagement being judged a failure.

What goes wrong in optimization work

A frequent problem is a long list of small configuration changes that each look sensible and together make the platform harder to maintain. Each change adds an exception that the next administrator must understand. A second problem is optimizing for the people who asked for the work rather than for the people who use the platform daily. Feedback from managers is important, but the operator who handles the queue every morning sees the friction that managers never notice. A third problem is letting the engagement end at handover without a named owner for the changed configuration.

When not to optimize yet

Hold back if the business has not decided which process it wants to run, because any tuning will be rewritten once the decision lands. Hold back also if the team cannot release changes at a rate that matches the amount of work, since a backlog of approved changes will sit half-built and then be abandoned. In both cases a short design decision is worth more than a fast tuning cycle. If the gap is in reporting rather than configuration, the performance analytics optimization service is the closer fit.

How much of the work should the internal team carry

Agree the split early and write it down. Configuration that the internal team will have to maintain should be built with them, not handed over at the end. Automation that only one person understands is a risk the moment that person changes roles.

Can optimization run while a major new module is being rolled out

It can, but the two efforts will compete for the same administrators and the same users. If both must run, keep the optimization scope to existing processes and leave the new module’s process design to its own track.

What should be documented before the engagement closes

Every configuration decision that departs from the platform default, the reason for it, the person who approved it and the test that showed it worked. Without those, the next administrator will reverse the decision without knowing why it was made.

Next step

For the process side of the choice, the process optimization and automation service is the option to scope.