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Proactive Support & Change Management Framework for a Digital Lab

Discover how A4BEE ensures operational continuity for a Global Life Sciences leader through proactive IT/OT support, Condition-Based Maintenance, and structured Change Management.

Industry

Biotech / Life Sciences

Scope

Managed Services / IT/OT Support / Condition-Based Maintenance (CBM) / DevOps

Timeframe

Ongoing, long-term partnership

Technology

  • AWS
  • Prometheus & Grafana
  • Docker & Linux
  • OPC UA
  • Python
  • Condition-Based Maintenance

3

Support Tiers (L1-L3) ensuring specialized attention for every issue

100+

Monitored parameters across IT and OT assets

< 8

Hours Resolution target for "Regular Changes" to keep the lab agile.

The client

A Global Life Sciences Leader. The client operates a cutting-edge Digital Lab in North America dedicated to Process Development (PD). This facility bridges the gap between research and manufacturing, utilizing advanced digital tools, bioreactors, and smart sensors to optimize bio-processes.

Business needs

Following the successful deployment of a complex Digital Lab infrastructure (integrated in 2022), the client shifted focus from "implementation" to "sustainment and evolution." The primary business objective was to ensure zero-interruption capability for critical experiments. The client needed a specialized partner to maintain a complex, multi-vendor IT/OT ecosystem and transition to Condition-Based Maintenance (CBM).

The challenge

  • 01

    High Complexity of Assets Supporting a diverse stack including Smart Pumps, PAT tools, DeltaV systems, and cloud integrations (AWS).

  • 02

    Proactive vs. Reactive Moving away from standard "break-fix" models to detecting anomalies before they caused data loss.

  • 03

    Agile Change Management Managing frequent, small functional adjustments (dashboard tweaks, alarm reconfigurations) swiftly yet safely.

  • 04

    Remote Support Model Delivering efficient L1-L3 support primarily from Europe for a US-based facility, requiring rigorous SLA alignment.

Our solution

A4BEE implemented a comprehensive Support & Change Management Service tailored to the dynamic needs of a Digital Lab. We moved beyond standard ticketing to a holistic "Health Monitoring" approach:

  1. Multi-Tiered Support (L1-L3)

    Established a clear escalation matrix from engineers to subject matter experts (SMEs) for complex integrations.

  2. Condition-Based Maintenance

    Deployed a robust monitoring ecosystem (Prometheus, Grafana) to monitor specific "heartbeats" of the lab.

  3. Structured Change Management

    Introduced a dual-track process: Regular Changes for minor optimizations and Work Orders for expansions.

  4. Transparent Reporting

    Monthly performance reports covering SLA adherence, ticket volume per device, and resolution metrics.

Technology used

  • AWS
  • Prometheus & Grafana
  • Docker & Linux
  • OPC UA
  • Python
  • Condition-Based Maintenance

The outcome

The implementation of this Managed Service model transformed the lab's operational reliability. By bridging the gap between physical production environments and digital intelligence, the solution enabled the company to operate with greater agility and reduce downtime.

  • Proactive Uptime
  • Seamless Evolution
  • SLA Compliance
  • Scalability

What we implemented

  • Data Collection Suite of exporters (Node Exporter, cAdvisor) scraping metrics from every layer of the OT/IT stack.
  • Aggregation & Visualization Metrics aggregated in Prometheus and visualized in Grafana with Loki for rapid root-cause analysis.
  • Alerting Logic Alertmanager routing distinguishing between "Automatic" incidents and "Manual" user-reported tickets.
  • Key Metrics 3 Support Tiers, 50+ Monitored Indicators, and 24/7 Monitoring capabilities for critical runs.
Paweł Godawa
A Digital Lab is a living organism, not a static monument. Through a Condition-Based Maintenance strategy and transparent Change Management, we transformed technical complexity into operational reliability. This shift allowed scientists to push the boundaries of bioprocessing, fully supported by an infrastructure that stays out of their way.
Paweł Godawa — Service Delivery Manager

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