Automate Maintenance Decisions With Intelligent Bots

Trigger Actions. Eliminate Delays. Scale Automation.
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Let Automation Handle Repetitive Maintenance Tasks

No-Code Bots allow business users to automate rule-based maintenance activities, reducing manual effort and accelerating process execution directly within SAP.
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Learn how EAM Empower features can elevate your operations to the next level.

Trusted Where Reliability Matters Most

Adopted daily by maintenance teams running mission-critical SAP operations at scale

Event Monitoring

Monitor maintenance events across systems, workflows, and data updates in real time

Automated Actions

Execute actions automatically based on predefined rules and triggers

System Integration

Connect and process data from external systems through APIs

Decision Support Logic

Support operational decisions through rule-based automation

Event-Driven Triggers

Trigger actions based on data creation, updates, or workflow events

API-Based Automation

React to events from external systems and integrations

Flow Integration

Execute actions within configured workflows and process flows

No-Code Rules Engine

Define automation logic through configurable business rules

Real-Time Processing

Perform actions instantly without manual intervention

Cross-System Orchestration

Act as a bridge between SAP, external systems, and workflows

Alert & Notification Engine

Trigger alerts based on delays, failures, or critical conditions

Scalable Automation Layer

Deploy and scale automation across maintenance operations

Scale Automation Across Your Maintenance Operations

Configure bots to monitor, decide, and act across systems and workflows.

Configuration-Driven Bot Creation

Create and manage bots using rule-based conditions, triggers, and predefined actions without requiring coding expertise.

Event-Driven Automation

Trigger automated actions based on maintenance events such as work order updates, task completion, or data changes.

Visual Workflow Automation

Design automation flows through intuitive interfaces that map processes and decision points clearly and efficiently.

Reusable and Governed Automation

Standardize and scale automation across sites while maintaining control through role-based access and governance frameworks.

Replace paper for results like these:

Built by EAM experts, Sigga simplifies SAP into easy, dependable workflows—boosting uptime, improving adoption, and delivering real ROI across maintenance and operations.

Increase in Direct Labor Productivity
Improvement in workforce efficiency through strategic workload leveling and capacity alignment.
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Reduction in Emergency Procurement Costs
Up to 30% savings on materials and services by shifting from reactive purchasing to planned, early-stage procurement.
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Decrease in Preventive Maintenance Backlog
25% reduction in accumulated work orders, enabling proactive risk mitigation and improved asset reliability.
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Improvement in Budget Adherence
50% tighter variance between planned and actual maintenance spend, driven by long-term simulation and financial integration.
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Case Studies

An end-to-end suite that unifies planning, scheduling, mobile execution, asset data, and safety workflows.
  • CASE STUDY

BRF Shares Their Maintenance Transformation

See how a mobile EAM app, on a no-code platform, is rapidly transforming BRF, a global food company’s maintenance operations reducing costs, downtime, and increasing productivity.
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  • CASE STUDY

An Interview with Saint Gobain

The IT Project Lead at the largest building materials company in the world, talks about going from paper to fully digital maintenance processes in their global glass factories.
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  • CASE STUDY

Turning Around a Reactive Maintenance Environment at Ingredion

Planning and Scheduling went from 2 days to 2 hours. Technician wrench time increased by 25%. Hear how the Reliability Director and Sigga got these results at Ingredion, the 8th largest food ingredient company in the world.
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  • CASE STUDY

3 Ways Mobile Processes Improves Safety for Plant Operations

Creating a safe working environment for the maintenance team and production workforce is a priority for every organization. Safe workplaces protect workers from physical…
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Asset-intensive businesses to achieve heir EAM digital transformation

We are dedicated to sustaining our industry-leading data security, privacy, and compliance practices for your assurance.

01. What are no-code maintenance automation bots?

No-code maintenance automation bots empower business users to define rule-based logic that monitors events, evaluates conditions, and triggers actions automatically without needing to get in the weeds with a developer. Work order updates, threshold breaches, or data changes automatically trigger downstream actions in SAP or connected systems the moment they occur, eliminating the manual effort and delays that accumulate across repetitive process steps.

02. How do Sigga AI Bots integrate with SAP and external systems?

Sigga Bots operate as an automation layer connecting SAP, external systems and maintenance workflows through APIs and event-driven triggers. When a defined condition is met, such as a work order status change, an overdue task or an incoming data update from an external system, the bot executes the next action instantly across whichever systems are involved.

03. What types of maintenance processes can be automated with Sigga Bots?

Sigga Bots are designed for any rule-based maintenance activity that currently requires manual monitoring or handoffs, including work order routing, escalation alerts for delays or failures, cross-system data synchronization, approval nudges, and condition-based task creation. If the decision logic can be defined as a set of conditions and outcomes, it can be automated and scaled across sites.

04. How do automation bots reduce operational delays in maintenance execution?

Sigga Bots eliminate the lag between a triggering condition and the next required action. Work that previously waited on manual review, status checks, or inter-team communication moves forward automatically, compressing process cycle times and freeing maintenance teams to focus on work that requires human judgment rather than repetitive coordination tasks.

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