Guide

Real-Time Process Monitoring as a Service for Mid-Market

Real-time process monitoring as a service provides mid-market operations with immediate, actionable intelligence to prevent issues and boost efficiency without the high cost and complexity of enterprise platforms. It continuously observes business processes, detecting anomalies and triggering alerts within seconds, so teams can address problems like SLA breaches or production bottlenecks before they escalate.

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The True Cost of Lagging Data

Traditional process mining, while valuable, often operates on historical data. It analyses event logs in batches, typically nightly or weekly, producing insights into inefficiencies and bottlenecks that have already occurred. This is like looking in the rearview mirror: you know where you’ve been, but it doesn’t help you avoid the collision happening right now. For time-sensitive sectors like manufacturing, healthcare, hospitality, and logistics, this delay is more than an inconvenience. It’s a direct hit to the bottom line.

70%

Manufacturers still collecting production data manually

£5M+

Typical annual waste from undetected process issues

Key shift

Real-time process monitoring closes this gap, shifting from retrospective analysis to continuous observation, alerting teams to deviations within seconds or minutes.

When deviations from expected process behaviour aren’t flagged immediately, the consequences compound. A delayed patient discharge in healthcare can ripple through bed availability and staff workload. A missed delivery window in logistics can incur penalties and damage reputation. In manufacturing, a quality issue undetected for hours can lead to entire batches being scrapped.

Delivering Live Insights as a Service

Mid-market operations leaders need Celonis-grade results without Celonis-scale tools or budgets. Zenotris delivers real-time process monitoring as a service, not a product: our experts handle the technical integration, data streaming, model configuration, and dashboard setup, so your team can focus on action, not administration. Powered by the Halia detection engine, the service continuously observes your business processes as they execute, capturing events from your ERP, CRM, MES, or a custom application. When behaviour deviates from your defined patterns or SLAs, Halia triggers automated alerts within seconds, catching:

1
SLA breaches

Flagged before they impact customers.

2
Bottlenecks

Forming in your production line, caught as they build rather than after the fact.

3
Unexpected process variants

That signal inefficiency or a breakdown in the standard workflow.

4
Resource under- or over-utilisation

So capacity issues get addressed while they’re still cheap to fix.

In logistics, this can mean pre-breach detection across a carrier network, flagging a potential delay before it becomes a customer complaint. See Real-Time Monitoring for Logistics and Supply Chain for how this applies to supply chain operations specifically. Engagements begin by identifying the 1-3 processes with the highest operational value, for a focused approach with a faster time-to-value.

1
Connect your systems

We integrate with your ERP, CRM, MES, or custom applications to capture live event data.

2
Configure detection models

Your SLAs and expected process patterns are modelled so deviations are meaningful, not noise.

3
Halia monitors continuously

The detection engine watches process execution in real time, around the clock.

4
Alerts reach your team

Automated alerts and a live dashboard put deviations in front of the right people within seconds.

Choosing Your Path: Platform vs. Service for Live Operations

When deciding between a real-time process monitoring platform and a service, the trade-off usually comes down to budget, complexity, and internal resource availability. Here’s how the common approaches compare:

Comparison of real-time process monitoring platforms and services
If you are… Use Because But
A large enterprise with a dedicated process mining team Celonis EMS Market leader with broad capabilities for deep, complex analysis. High cost, often tied to data volume, and complex implementation.
Heavily invested in SAP systems SAP Signavio Native integration with SAP source systems for process insights. Less suitable for diverse, multi-vendor technology stacks.
Needing to link insights to automation execution UiPath Process Mining Strong integration with the UiPath RPA system. Primarily focused on automation candidates, not standalone process analytics.
Seeking rigorous process mining without enterprise pricing Apromore Open-source entry point, accessible pricing for mid-market. May require more technical expertise to get full value from modern features.
Monitoring IT infrastructure or application performance Datadog / Splunk APM Excellent for system health and application-driven workflows. Built for IT systems, not natively designed for business process conformance.
Building a custom solution with internal data engineers Kafka + Flink Maximum flexibility and control over the entire stack. Requires significant data engineering investment and ongoing maintenance.
Needing Celonis-grade results as a service Zenotris Predictable, service-based model with expert delivery and Halia-powered detection. Requires initial data integration support from your IT team.

The service model shifts capital expenditure to operational expenditure, lowering the barrier to entry and shortening time-to-value. You get specialist expertise without the overhead of building an internal team. To see how this works in more depth, visit our Real-Time Process Monitoring solutions page.

Your Live Dashboard: Key Metrics for Operational Excellence

With real-time process monitoring in place, the value shows up in a live dashboard that reflects the pulse of your business. These are the KPIs operations leaders should be tracking:

Key metrics for real-time process monitoring dashboards
Metric Target Watch for What it means
On-time delivery ≥ 96% < 93% Actual delivery vs. promised date, not ship-confirm date.
Cycle time variance ± 5% ± 10% Deviation from average process completion time.
SLA compliance ≥ 98% < 95% Percentage of instances meeting agreed service level agreements.
Exception rate < 2% ≥ 5% Frequency of business exceptions: rework, escalation, rejection.
Throughput Stable / increasing Decreasing Number of process instances completing per hour or day.
First-pass yield ≥ 95% < 90% Percentage of instances completing without rework.

Where to start

Pick one process that lacks real-time visibility today, document its current cycle time and exception rate, then set an alert for a 10% deviation. That single process is usually where the first return shows up.

Gain real-time visibility into your operations, today

Connect in weeks, not months. See predictable costs, not licences.

≥ 98% SLA compliance target
< 2% exception rate target

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Frequently asked questions

What is the main challenge mid-market operations face regarding production data?+
A significant challenge is that 70% of manufacturers still collect production data manually. This reliance on outdated methods creates blind spots, hiding critical issues until it’s too late to act, leading to millions in rework, waste, and lost customer trust.
How does real-time process monitoring differ from traditional process mining?+
Traditional process mining operates on historical data, analysing event logs in batches to identify past inefficiencies. Real-time process monitoring provides continuous observation, alerting teams to deviations within seconds or minutes, so problems can be addressed as they occur.
What kind of issues can Zenotris’s real-time monitoring service detect?+
Powered by the Halia detection engine, the service can detect SLA breaches before they impact customers, bottlenecks forming in production lines, unexpected process variants signalling inefficiency, and resource under- or over-utilisation, all within seconds.
Which industries and regions is Zenotris’s service best suited for?+
The service model is particularly suited for mid-sized firms in manufacturing, healthcare, hospitality, and logistics. It serves operations across the UK, Netherlands, Germany, UAE, and Saudi Arabia.
What are the key benefits of choosing a service-based model over traditional platforms?+
The service-based model shifts capital expenditure to operational expenditure, lowering the barrier to entry and shortening time-to-value. It offers predictable pricing and simpler deployment, with experts handling technical integration and setup.
Do we need real-time process monitoring software, or is a service enough?+
It depends on your team and data environment. Enterprise platforms like Celonis EMS or SAP Signavio give full control but carry high cost and complex implementation, and open-source options like Apromore need in-house technical expertise to run well. For mid-market operations that want Celonis-grade results without building and running that stack, Zenotris delivers real-time process monitoring as a predictable, service-based model with expert delivery and Halia-powered detection.