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Operate with Nisum

Managed Services Practice

Is your operations model actually built for what matters now? We turn unpredictable, project-based delivery into a retainer-based partnership that scales, with AI-embedded service lines, transparent SLAs, and the same teams you already trust.

Discover how it works

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Beyond the legacy MSP

Many organizations already pay for ongoing support, they just experience it as unpredictable hourly billing, shifting budgets, and reactive maintenance. When critical issues arise, response times vary, and engineering teams are pulled away from strategic work.

Our approach provides a more predictable operating model. By combining AI-enabled service delivery with experienced engineering teams, we help organizations improve visibility, reduce operational overhead, and maintain the flexibility to evolve their technology without sacrificing speed or control.

Here's how we think about fixing it:

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The Operations Readiness Index

Five dimensions. One score.
A clear next step.

Nisum's Operations Readiness Index scores how ready your operations are for managed delivery, 0 to 100, with vertical sub-scores.

62 ORI / 100

Illustrative score. Yours comes from a short assessment across the five dimensions.

What we measure
SLA definitionsIncident responseRunbook coverageOn-callPostmortem discipline
Why it matters

When an outage hits at 2am, the gap between "someone will look at it" and a defined response window is the difference between a blip and a bad quarter.

What we take off your plate
  • Owning the SLA and the on-call rotation so your team sleeps
  • Standing up runbooks and postmortems that actually get used
  • Triage and resolution of the routine incident load
What we measure
T&M dependencyKTLO as a share of spendCloud cost trajectoryVendor count
Why it matters

If keeping the lights on eats most of your budget and the number moves every quarter, you can't plan a roadmap against it.

What we take off your plate
  • Converting time-and-materials run-rate into a predictable retainer
  • FinOps governance on cloud spend so the trajectory flattens
  • Consolidating the vendor sprawl into one accountable partner
What we measure
UptimeMTTRDeployment frequencyChange failure rateDORA metricsPatch cadence
Why it matters

Reliability and speed usually trade off against each other. Strong DORA numbers mean you can ship often without breaking things.

What we take off your plate
  • Running the deployment pipeline and the platform underneath it
  • Driving MTTR down and deployment frequency up against DORA targets
  • Keeping patch cadence current so security debt stops piling up
What we measure
Pipeline uptimeData quality monitoringBI reliabilityAnomaly alertingData SLAs
Why it matters

Every AI and analytics decision rides on the pipeline underneath. When data quietly breaks, the dashboards lie and nobody knows for days.

What we take off your plate
  • Monitoring pipeline uptime and data quality so issues surface early
  • Anomaly alerting before a bad number reaches a report
  • Holding data SLAs the business can actually rely on
What we measure
Test automation coverageRegression confidenceRelease defect ratePerformance testingSecurity testing cadence
Why it matters

Without automated coverage, every release is a gamble and quality scales only by adding people. Automation lets quality keep pace with speed.

What we take off your plate
  • Building and maintaining the automated regression suite
  • Driving release defect rate down release over release
  • Running performance and security testing on a steady cadence
Get Your ORI Score
Insights

What this looks like

Managed Services Explained

Delivery Models and Value

Managed services help enterprises shift from reactive support to accountable delivery with transparent SLAs, DORA metrics, and 24/7 coverage.

Learn More

A new operating model in action

From Hourly IT to Strategic Retainer

See how managed services strengthen security, cut unplanned downtime, and bring predictable monthly spend across cloud, apps, data, and QA.

Learn More
Partnerships & footprint
AWSCo-sell partner
SnowflakeCo-sell partner
SalesforceCo-sell partner
OpsRabbitIncident tooling
The delivery model

AI runs inside every service line, on day one

Our delivery isn't a team that happens to use AI. The AI is in the workflow.

Autonomous ticket triage

Autonomous ticket triage routes and resolves the routine load.

AIOps

AIOps flags anomalies before users do.

AI-assisted quality

Test cases and code review run AI-assisted, so quality scales with speed.

OpsRabbit

OpsRabbit, our incident product, cuts the time it takes to investigate what actually went wrong, which is where most ops teams lose their nights.

Get In Touch

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