Operational Efficiency Advisor

Reduce Manual Work. Improve Productivity. Scale Operations.

I help organizations get more done with less manual work, using ServiceNow, AI, and process design.

ServiceNow instructor · 10,000+ students taught

Lukasz Szumilas

The AI reality check

Most companies don't need more AI tools.

They need better processes, automation, and the right AI use cases.

Most AI projects underwhelm because they start with the model. The results come from fixing the work first, in order:

  1. Fix the process.
  2. Automate the repetitive parts.
  3. Improve how people find knowledge.
  4. Then apply AI where it creates real value.

That's the order I work in with every client.

The multiplier problem

Add AI to a broken process and you just get faster chaos

AI multiplies whatever it runs on. Fix the process first, and the same AI creates real business impact.

A broken process AI Faster chaos
A good process AI Business impact

My methodology

The Operations Improvement Loop

A repeatable system, not a one-off project. Every engagement runs the loop.

The loop Operations
Improvement
Step 1 Find Bottlenecks Identify where work gets stuck and where time is lost.
Step 2 Improve Process Simplify and redesign the workflow for clarity and scale.
Step 3 Automate Workflow Remove the repetitive tasks and handoffs with automation.
Step 4 Apply AI Introduce AI only where it creates meaningful business value.
Step 5 Measure Impact Track outcomes, then optimize and scale what works.

Symptoms → Outcomes

Does any of this look familiar?

Every symptom on the left has a fix on the right. The method in between is always the same.

Too much manual work Your team spends hours on repetitive, low-value tasks. Very Common
Automated workflows
Growing ticket volumes More requests, the same resources, rising pressure. Very Common
AI-assisted resolution
Slow processes Bottlenecks and handoffs delay the outcomes the business needs. Common
Faster fulfillment
Underused ServiceNow You're not getting the full value from the platform you pay for. Common
Platform at full value
Poor knowledge access Information is scattered and hard to find the moment someone needs it. Common
Knowledge on demand
Unclear AI strategy You're not sure where AI creates real value, or where it's just noise. Emerging
A prioritized AI roadmap

This isn't six features — it's one method shown six times: every symptom resolves into an outcome the loop produces.

Selected work

From symptom to outcome

All case studies →
Banking

AI-assisted ticket classification

Problem

Ticket volumes were rising and manual triage was eating fulfiller time.

Approach

Redesigned the intake, added automation, and introduced AI-assisted routing and classification.

Result

Less manual effort, more consistent routing, and faster handling.

Insurance

Streamlined request management

Problem

A request process had drifted over the years and handoffs had become slow.

Approach

Standardized the workflow and automated the repetitive steps.

Result

Fewer handoffs, and SLA targets that are realistic to hit again.

Manufacturing

Automated employee onboarding

Problem

Onboarding new starters meant chasing access and equipment by email.

Approach

Automated the onboarding workflow end to end on ServiceNow.

Result

New starters get the access and equipment they need without manual chasing.

Start here

Ready to find the AI opportunities inside your ServiceNow environment?

Book a free consultation. You'll leave with a clear view of where a better process and the right AI move the needle — whether or not we build it together.

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