IFS Loops delivers agentic AI Digital Workers that autonomously manage complex, high-volume operational tasks across enterprise systems, enabling organizations to close the efficiency gap and move from automation to autonomy.

IFS CLOUD:
Loops Module

The Industrial AI Workforce Deployable Today
Scalable for Tomorrow

Close the Efficiency Gap: From Automation to Autonomy with Agentic AI Digital Workers. IFS Loops is an agentic AI platform that delivers Digital Workers capable of autonomously managing complex, high-volume operational tasks across enterprise systems. Designed for mission-critical industrial processes, this solution is deployable today and enables companies to close the efficiency gap by progressing from automation to autonomy.

Overview: Meet Your Digital Coworkers:

IFS Loops is the agentic AI platform that brings Digital Workers to life across industrial operations. It represents the next evolution of the IFS.ai strategy. Industrial businesses are struggling under increasing pressure, as manual processes, fragmented technology, and rising complexity slow down operations. This leads to delayed decisions, higher error rates, and wasted workforce capacity, ultimately impacting throughput and competitiveness. Many existing tools offer valuable insights but fail to take autonomous action, resulting in bottlenecks and incomplete solutions.

IFS Loops is built to change that. Digital Workers are advanced software agents powered by agentic AI that autonomously manage high-volume operational tasks. These agents automate complex, repetitive workflows across systems and functions, acting as a 24/7 virtual colleague or coworker.

History: The Acquisition of TheLoops

IFS accelerated its move toward autonomous operations by announcing the acquisition of TheLoops on June 26, 2025. This strategic acquisition marks a shift from enterprise software that merely tracks work to software that actually does the work. By integrating TheLoops’ capabilities, IFS became the first vendor to offer an AI agentic platform specifically built for the mission-critical assets and processes that keep industrial operations running. The acquisition introduced a multi-agent environment in which autonomous AI agents are not only composable and governed but also semantically aware of their operating context.

Agentic AI: Beyond Automation

Unlike traditional automation (RPA) or generative AI, IFS Loops Digital Workers are uniquely equipped to handle industrial complexity. They make context-driven decisions and understand operational rules and compliance. Importantly, these agents are capable of continuous learning and adaptability, improving performance over time.

IFS Loops delivers templated Digital Workers that are deployable today. The platform is designed for industries where precision and speed are critical, including manufacturing, energy, utilities, telecoms, construction, aerospace & defense, and service industries. Currently, 10 Digital Workers are live across multiple industries, equipped with 50+ agentic skills for mission-critical workflows. IFS is scaling this capability rapidly, with plans for 100+ additional agentic skills to be available by December 2025.

Technology and Features :

IFS Loops provides an enterprise-grade AI agent platform that emphasizes governance, security, and industrial-scale deployment.

Core Agentic Technology:

An AI agent is defined as an autonomous software system that can perceive its environment, process information, make decisions, and take actions to achieve specific goals, often with little or no human intervention.

Autonomy and Dynamic Planning

Unlike traditional automation (RPA), which relies on exhaustive, rule-based systems, IFS Loops Digital Workers make context-driven decisions. They are goal-oriented, and when triggered, they dynamically generate a plan and execute actions across multiple systems to achieve that goal.

A comparison of RPA versus IFS Loops Digital Workers, highlighting the shift from rigid, rule-based systems to goal-oriented, autonomous agents that dynamically plan and execute tasks across multiple systems.

Continuous Learning

The agents are capable of continuous learning and adaptability. They continuously improve their operational performance over time.

Domain-Specific Intelligence

These are not generic chatbots. They operate with domain-specific understanding and are powered by Industrial LLMs (Large Language Models) that understand context, compliance, and operational rules, making AI actionable from day one.

 

Platform Capabilities:

Data Stitching Layer and Integration

The platform features a unique, native data stitching layer built into the agent platform. This layer connects seamlessly to over 65 enterprise and operational systems, including common systems like Salesforce, ServiceNow, Snowflake, and the Microsoft ecosystem. It utilizes a Knowledge Graph to relate data entities (e.g., customers or POs) across fragmented platforms.

Graphic showcasing the Data Stitching Layer, which natively connects over 65 enterprise systems like Salesforce and Microsoft. It uses a Knowledge Graph to unify fragmented data entities like customers and POs across the platform.

Model Hub and LLMs

The Model Hub provides pre-trained and bespoke machine learning algorithms and fine-tuned language models. IFS uses different models (e.g., Gemini for video processing, open-source models like LAMA for fine-tuning) optimized for specific workloads.

Graphic describing the IFS Model Hub: A central repository providing pre-trained and bespoke machine learning algorithms and fine-tuned language models like Gemini and Llama, each optimized for specific industrial workloads.

Human-in-the-Loop (HITL)

Agents are designed with built-in governance, audit trails, and logging. They can be configured to reach out to humans for explicit approvals or rejections at critical decision points, ensuring compliance and security.

Extensibility (IFS Loops Studio)

Recognizing the urgency for customization, IFS Loops Studio, coming in Q1 2026, will empower customers to build and rapidly customize their own Digital Workers and workflows.

Applications And Business Cases (Digital Workers In Action) :

IFS Loops Digital Workers execute complete ownership of multi-system processes, focusing on complex, repetitive workflows across core functions.

Customer Order Manager

Automates the end-to-end customer order process, including ingesting unstructured data (email, PDF attachments), validating information, identifying exceptions, and creating the order directly in IFS Cloud.
Estimated 25%–30% faster order processing. Saves managers up to 4 hours per day. Enables scaling without adding admin.

Graphic showcasing the Customer Order Digital Worker. It automates order processing from emails and PDFs into IFS Cloud, resulting in 30% faster processing and saving managers 4 hours daily, allowing for scaling without increased headcount.

Supplier Order Manager

Autonomously manages and streamlines supplier interactions, handling confirmations, delays, and follow-ups. It scans emails/attachments, extracts critical information (dates, quantities), and updates Purchase Orders directly in the system.
Estimated 90% reduction in processing time. Procurement teams see 25%–35% faster confirmations and issue resolution. Saves up to 35 hours per week.

Graphic for the Inventory Replenisher Digital Worker. It uses real-time demand forecasting and automated replenishment to reduce stockouts by 20% and cut Purchase Order (PO) processing time by up to 70%.

Inventory Replenisher

Intelligently forecasts demand, manages stock levels, and triggers replenishment in real-time. Minimizes stockouts and overstocking.
Estimated 15%–20% reduction in stockouts. 60%–70% reduction in PO Processing Time.

Graphic for the Inventory Replenisher Digital Worker. It uses real-time demand forecasting and automated replenishment to reduce stockouts by 20% and cut Purchase Order (PO) processing time by up to 70%.

Dispatcher Assistant

Autonomously optimizes routes, schedules, and Service Level Agreements (SLAs) with precision and speed.
Estimated 20%–25% reduction in delays.

Field Technician

Automates administrative tasks, enhances diagnostic and problem-solving capabilities, and ensures adherence to operational standards.
Estimated 15%–20% higher first-time fix rates.

Architecture: The Enterprise Agentic Platform :

IFS Loops is designed as a governed, secure, extendible enterprise platform, built for at-scale deployments. It is a modular agent architecture that ensures seamless scaling for industrial operations.

The platform is structured in key layers

  1. IFS Loops Agents: Contains the core functionalities, including the agentic reasoning engine, agent builder, agent orchestration, and tools for observability and evaluations.
  2. IFS Loops In-Built AI: Houses foundational components such as the Knowledge Graph, AI-powered search, and domain language models. These models inject industrial context.
  3. IFS Loops Protect: Ensures security by providing sensitive content protection, regulatory compliance, and agent guardrails. This ensures safety and full auditability.
  4. Integration Layer: Facilitates communication via connectors and actions, enabling agents to leverage IFS data and interact with third-party agents.

Deployment Flexibility

IFS Loops Digital Workers provide immediate ROI and operational impact whether they are embedded in IFS Cloud or running alongside legacy systems. The solution supports remote deployment. The SaaS version is currently deployed on AWS, with plans to move to Azure, aligning with IFS’s primary cloud environment. Deployment timelines are fast, typically requiring less than 12 weeks to get Digital Workers operational.

Why IFS Loops Is So Special... :

IFS Loops offers strategic value by focusing on industrial autonomy and transforming the existing workforce paradigm.

Digital Coworkers, Not Co-pilots

IFS Loops provides intelligent digital co-workers. Unlike co-pilots, which assist humans, digital workers actively participate in workflows, make decisions, and execute tasks. The shift is from software that tracks work to software that does the work.

Graphic contrasting AI Co-pilots with Digital Coworkers. It explains that while Co-pilots assist humans, Digital Coworkers actively participate in workflows and execute tasks, shifting from software that tracks work to software that does work

Unmatched Industrial Relevance

The agents are purpose-built for mission-critical operations and trained on manufacturing, field service, utilities, and telecommunications data. They adhere to customer-defined security, data access, and compliance standards.

Graphic highlighting the Industrial Relevance of IFS Loops Digital Workers. It emphasizes that agents are purpose-built for manufacturing, field service, utilities, and telecom, adhering to strict security and compliance standards.

Measurable Efficiency and Capacity Gain

Agents eliminate repetitive work, freeing teams for higher-value tasks. Employees stop spending up to 40% of their day on repetitive work. This frees 25% of top talent’s time for strategy, growth, and innovation.

Graphic showing the impact of Digital Workers on productivity: eliminating repetitive tasks to free up 25% of top talent’s time for strategy and innovation while reducing the 40% of the day currently spent on manual work.

Operational Excellence and ROI

IFS Loops drives superior business outcomes and competitive differentiation (estimated 30% increase in throughput, 40% reduction in errors, 4% financial margin improvement driven by efficiency gains, reduction in rework by 25%–40%).

Infographic showing the ROI of IFS Loops: a 30% increase in throughput, 40% reduction in errors, 4% financial margin improvement, and up to 40% reduction in rework through Digital Workers.

Composable and Future-Ready

Leveraging the fully composable platform architecture of IFS Cloud, customers can deploy AI agents incrementally rather than requiring wholesale system replacement. This approach allows companies to quickly adapt to new opportunities. IDC states that companies deploying agentic AI today are positioning themselves ahead of competitors.
IFS Loops provides the Invisible Workforce, orchestrating complex industrial workflows reliably, securely, and contextually.

IFS Cloud Customers :

List of customers using IFS Cloud obtained from official IFS promotional materials (IFS Cloud).

List of IFS Cloud Modules, Functionality and Key Capabilities

Explore 11 modules, 90 functionalities, encompassing a diverse range of 765 capabilities. Download the list highlighting the key functional capabilities provided by IFS Cloud (2023-R2). Novacura – Trusted by 220+ Companies.

List of key IFS Cloud functional capabilities, photo Novacura

How To Implement

We enhance the proven IFS implementation methodology with our own low-code technology.
As a Gold Channel Partner, we follow the standard IFS approach—but with 17+ years of experience, we’ve refined it with unique steps that deliver faster, more flexible, and more cost-effective results. Powered by Novacura Flow, we build modifications as low-code apps and integrate IFS with other systems through ready-made connectors—ensuring smoother rollouts and solutions precisely tailored to your needs.

IFS Cloud integration methodology, photo Novacura
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