IFS Loops Enterprise Agentic AI Platform

A one-sentence summary

IFS Loops is an agent platform designed for complex corporate and industrial operations; it enables the deployment of governed digital employees to carry out multi-step tasks across CRM, ERP, customer service, knowledge management, inventory, procurement, and field service systems.

Tool Introduction

The platform was originally known as TheLoops, and in its early days it focused on providing support to customers as well as assisting their success. After IFS completed its acquisition in June 2025, it expanded the capabilities of this platform to include areas such as manufacturing, telecommunications, energy, utilities, aircraft maintenance, and other critical business processes; it also adopted the IFS Loops brand for this platform.

It is not an ordinary chatbot or a single customer service plugin; rather, it combines context, enterprise connectors, reusable skills, approval processes, auditing functions, and cross-system execution to create an enterprise agent layer. Organizations can start with advisory suggestions and gradually increase the level of automatic execution.

Evolution of brands and products

Core architecture of the platform

What are digital employees?

A Digital Worker is an intelligent agent application designed to achieve specific business objectives; it can carry out tasks, coordinate processes, and trigger events within corporate systems just like team members. It consists of multiple reusable skills and operates at the level of autonomy chosen by the organization.

What is a skill?

A skill is the ability to carry out tasks within a particular step of a workflow, such as summarizing tickets, identifying anomalies, parsing emails, generating follow-ups, or creating purchase orders. Multiple skills can be combined, in accordance with certain rules and context, to create more complex digital employees.

Industrial digital workforce directory

Customer Experience Agent

• Agent Assist Copilot provides summaries, suggestions for the next steps, and draft responses in the customer service dashboard.
• Auto QA Analyst analyzes human-robot interactions in accordance with the company’s quality inspection standards.
• AI Autopilot utilizes case history, customer context, and knowledge to provide self-service.
• Knowledge Generation identifies knowledge gaps and generates draft articles at the end of a ticket.
• Ask and AI Search retrieve context related to the current question from multiple systems.
• The CX Analyst consolidates topics, sentiment, risks, product feedback, and trends.
• Agent Catalog offers combinable skills for classification, routing, upgrade forecasting, and reporting.

Agent Assist Copilot

Copilot is integrated into the existing customer service workspace; it aggregates customer inquiries, past attempts at resolving issues, and possible solutions, and generates responses that are in line with the brand’s tone. It can also identify requests related to product features, create draft answers, and help managers prioritize handling high-risk cases.

Auto QA Analyst

Auto QA enables the analysis of all or a large portion of customer service interactions based on corporate scoring criteria, providing real-time guidance as well as predictive indicators of customer satisfaction. The term \"100% coverage\" refers to the ability to automatically analyze all incoming tickets; it does not mean that no human intervention is needed for each score.

AI Autopilot

Autopilot is designed to enable customers to resolve issues on their own, by combining corporate knowledge, customer data, and past cases to generate dynamic responses; it can be upgraded to human assistance when needed. Built-in automatic quality checks and safeguards are used to monitor the quality of responses and to facilitate continuous improvement.

Knowledge generation

The platform identifies issues that occur repeatedly but are not covered in the knowledge base, and creates draft articles when the corresponding ticket is closed. A human expert in charge of the knowledge base must review the facts, versions, permissions, scope of application, and expiration date before publishing the article.

Customer service analysis and forecasting

Cross-system search and context

Ask and AI Search bring together tickets, error logs, product feedback, alerts, events, and knowledge within the customer service workflow, thereby reducing the need to switch between multiple pages. Copilot supports the analysis of topics, symptoms, impacts, emotions, and feedback in over 22 languages.

• Read customer and account status from CRM.
• Read the current case and past processing from the ticket system.
• Search the knowledge base for solution steps and policies.
• Identify faults and events using the monitoring and logging systems.
• Extract defects and feature requests from the product system.
• Return visible content based on user permissions, rather than enabling unrestricted searching.

Integrated ecosystem

IFS Loops claims to offer more than 65 enterprise connectors, and it simplifies the process of integration through a code-free approach. Its public catalog includes categories such as ERP, CRM, customer service, collaboration, knowledge management, cloud services, data warehouses, monitoring, analytics, and API management.

A connector does not equate to plug-and-play functionality.

Even with predefined connectors, production deployment still requires field mapping, identity management, permission settings, network configuration, data quality controls, business rules, and exception handling. When write operations are involved, mechanisms for idempotency, approval processes, rollback capabilities, and auditing must also be in place.

Deploying digital employee processes

1. Choose a business process that has a clear responsible person, baseline metrics, and a high degree of repeatability.
2. Draw the current manual steps, systems, data, approval processes, and exception paths.
3. Connect the necessary systems and limit read and write access to the minimum required level.
4. Combine pre-set skills or create custom skills, and define input, output, and failure conditions.
5. Set the level of autonomy; high-risk actions require manual confirmation.
6. Use historical data to conduct offline testing of accuracy, coverage, deviation, and anomaly handling.
7. Launch it in a small team or a single queue on a gradual basis, to assess quality, costs, and response time.
8. Adjust the rules based on audit logs and manual feedback, then gradually expand the scope.

Process for bringing the customer service team online

1. A ticketing system and a limited knowledge base have been selected as the first to be integrated.
2. Define classification, summary, response, quality inspection, and upgrade standards.
3. Use historical tickets to establish a baseline, and identify high-risk, sensitive, and erroneous cases.
4. First, enable read-only summaries and suggestions, so that the agent cannot automatically change the customer’s status.
5. Customer service experts conduct sample comparisons between AI and human judgments in order to calibrate the scoring scale.
6. Re-enable draft knowledge, queue sorting, or low-risk responses.
7. Finally, determine whether Autopilot can handle the entire self-service process.
8. Continuously monitor customer satisfaction, repeat contacts, upgrades, errors, and manual intervention.

Autonomy level and control

Organizations should not move straight to a high level of autonomy just because the platform supports Agentic AI. The best approach is to start with tasks that are observable, reversible, and low-risk, and to increase permissions only after stability has been proven through real data.

OEM and embedded capabilities

IFS Loops OEM enables software manufacturers to integrate enterprise agent capabilities into their own products, with the option to use a white-label version or a co-branded version. The solution offers pre-installed functions, SDKs, integration frameworks, a modular architecture, as well as ongoing platform maintenance.

• Integrate digital employees into existing SaaS or industry software.
• Use the customer’s own brand to showcase the agent experience.
• Access the enterprise environment via over 65 connectors.
• Reuse auditing, permissions, safeguards, and observability capabilities.
• Reduce the maintenance of the infrastructure needed to build intelligent agent platforms on one’s own.
• The SDK, interfaces, deployment, and commercial terms are determined through a sales assessment.

Safety and compliance

Certification does not equate to automatic compliance.

SOC 2 and HIPAA certifications specify certain controls and scope, but they do not ensure that a customer’s implementation meets all regulatory requirements automatically. The customer still needs to establish rules regarding permissions, data minimization, retention periods, usage restrictions, and human oversight.

Privacy and data processing

The current privacy policy still designates THELOOPSAI, Inc. as the GDPR data controller, providing an address in San Mateo, United States. Since the brand has been integrated into IFS, business purchases should specify in the contracts and data processing agreements who the actual contracting party is, what role the processor plays, and who the subcontractors are.

• Data may be obtained from credit agencies, social media platforms, affiliated companies, analytics firms, advertisers, and data brokers.
• The website uses cookies for essential purposes, functionality, analysis, advertising, and social media.
• Some service providers are located in the United States and Europe, involving cross-border processing.
• The policy specifies that EU-approved adequacy decisions or standard contracts are used to ensure the protection of cross-border data transfers.
• Access is limited to employees with a business need and is subject to confidentiality obligations.
• There is no unified and fixed retention period specified for behavioral data and technical data.

Contract and license boundaries

The website still provides the EULA for the desktop application from 2021, which grants a limited, non-transferable, non-exclusive, non-sub licensable, and revocable license for its use. Current enterprise deployments are typically governed by separate orders, main service agreements, data processing agreements, and security attachments.

The old EULA and the previous privacy policies do not fully reflect the business structure following the acquisition; therefore, a purchase review cannot be carried out solely based on public web pages. The contract should clarify the responsibilities, data handling, support services, exit procedures, and migration arrangements related to IFS and the former TheLoops entity.

Price and procurement methods

The price information was verified on August 23, 2026; the actual amounts, taxes, exchange rates, and discounts may vary, and the final figures will be those displayed on the settlement page.

IFS Loops does not disclose any standard pricing based on the number of users, agents, tickets, or calls made; it also does not offer a free version or a self-service trial. At present, customized solutions are provided through options such as Requesting a Demo, Booking a Call, and the corporate sales process.

What variables are usually required for a quote?

• Number of digital employees and skills.
• Monthly volume of tickets, incidents, or transactions.
• Connectors, environment, and data scope.
• The autonomy level for reading, suggesting, or automatically executing.
• Language, region, and data residency requirements.
• Levels of implementation, migration, training, and support.
• Security, auditing, BAA, and SLA requirements.

Information to obtain before making a purchase

• Costs for platforms, implementations, connectors, and models, broken down by volume of activity.
• Model provider, inference region, data training, and zero-retention option.
• SOC 2 reports, HIPAA compliance, penetration testing, and security whitepapers.
• DPA, list of subcontractors, data residency, and proof of storage and deletion.
• Agent action permissions, approval, auditing, rollback, and shutdown switch.
• Acceptance criteria for accuracy, quality inspection consistency, and exception handling.
• Version upgrades, interface changes, availability, and response SLAs.
• Arrangements for data export, workflow migration, and deletion after the contract is terminated.

How to set performance indicators

API, SDK, GitHub, and open-source status

• The OEM solution mentions SDKs and integration frameworks, but it does not provide complete developer documentation or pricing details.
• The platform offers over 65 connectors that enable integration with enterprise interfaces and event systems.
• No official open-source repository or license for the core IFS Loops platform has been identified.
• The EULA on the website states that the core application is licensed for commercial use.
• Third-party examples, connector names, or recruitment codes cannot prove that the platform is open source.
• Companies that need such an interface should obtain information regarding authentication, rate limits, version details, and sandbox settings through the sales process.

Which companies are suitable?

• Companies with a large number of customer service tickets and that wish to expand the scope of quality inspection.
• Teams that need to carry out processes among CRM, ERP, knowledge, and monitoring systems.
• Key operational organizations in areas such as manufacturing, communications, energy, utilities, and aircraft maintenance.
• Companies that wish to use governed digital employees for handling procurement, inventory, scheduling, and invoicing.
• Software manufacturers that need to incorporate enterprise agents with a custom brand into their products.
• Medium to large organizations that possess capabilities for security, access control, auditing, and human oversight.

Situations that are not very suitable

• It is intended for small users who only need for personal chatting, writing, or simple Q&A.
• Teams that wish to see a fixed, publicly available price and activate the service by using their own credit cards.
• Early automation projects without clear processes, responsible parties, and available data.
• Organizations that require complete open-source code as well as self-maintenance by local communities.
• Enterprises that are unable to provide security assessments, permission configurations, and ongoing model monitoring.
• Teams that hope to be able to carry out high-risk tasks without any supervision from the moment they go live.

Main advantages

• Expanding from the customer experience to procurement, inventory, scheduling, invoicing, and industrial processes.
• Digital employees can combine multiple skills to carry out tasks across different systems.
• More than 65 connectors reduce the effort required to build integrations from scratch.
• It supports different levels of autonomy, approval processes, safeguards, auditing, and observability.
• It offers a complete CX ecosystem that includes Agent Assist, automated quality inspection, Autopilot, and knowledge generation.
• It features SOC 2 Type 2 certification, HIPAA compliance, and enterprise SSO capabilities.
• The OEM solution supports SDKs, white-labeling, and embedded agent platforms.
• Upon integration with IFS, it can be combined with IFS Cloud and the industrial software ecosystem.

Usage restrictions and precautions

• There is no fixed standard price; the budget needs to be assessed by sales.
• A large number of connectors does not mean that production integration is unnecessary.
• Automated quality checks, as well as emotion and prediction scores, may still exhibit inaccuracies.
• Actions involving writing data into ERP, CRM, and financial systems require strict approval and the ability to revert such changes.
• The old privacy policy and EULA still refer to the entity prior to the acquisition; a contract is required to determine the current party responsible.
• There is no unified and fixed retention period for behavioral and technical data.
• The product is not an open-source platform; the SDKs and interfaces require commercial partnerships.
• The efficiency gains seen in marketing examples cannot be considered a guarantee for all companies.

Basic information

Frequently Asked Questions

What is the relationship between TheLoops and IFS Loops?

In June 2025, IFS acquired TheLoops and expanded its agent technology to become IFS Loops. The existing CX products remained in use, while the new focuses were industrial digital workers and the IFS ecosystem.

Is IFS Loops just a customer service tool?

No. It offers not only customer service tools such as Copilot, quality inspection, knowledge bases, and self-service functions, but also digital employees for handling procurement, orders, inventory, materials, scheduling, and invoicing.

Will digital employees carry out tasks automatically?

Transactions can be executed and system events can be triggered within the authorized scope, but the level of autonomy is determined by the enterprise. High-risk actions should be subject to approval processes, rollback mechanisms, and exception handling.

Which systems are supported?

The platform claims to offer more than 65 connectors, with examples including IFS Cloud, Zendesk, Salesforce, ServiceNow, Jira, Slack, Teams, Snowflake, AWS, and Azure.

Is multi-language customer support available?

Agent Assist states that it can analyze topics, symptoms, impacts, emotions, and feedback in over 22 languages. The quality of the output in each language, as well as the accuracy of the business-related terminology used, still requires separate testing.

How much is IFS Loops?

There are no fixed public packages; the platform, CX, industrial digital workers, and OEM services all rely on scheduled demonstrations and customized quotes. The price is usually influenced by usage volume, connectors, skills, level of autonomy, and the scope of implementation.

Is it compliant with HIPAA?

The security page indicates that the platform has completed the HIPAA framework validation. Healthcare institutions still need to verify the BAA, the scope of processing, the data configuration, and their own compliance responsibilities.

Are APIs and SDKs available?

The OEM solution provides SDKs and integration frameworks, but no self-development documentation is available publicly. Companies need to obtain the specific interface details through sales or partnership processes.

Is IFS Loops open source?

The official open-source repository and license for the core platform have not been identified; it is a service provided under enterprise contracts and commercial licenses.

Can it completely replace human customer service?

It should not be understood in that way. The platform can handle low-risk processes automatically and expand its coverage, but complex, sensitive, regulated, or high-value cases still require human judgment and further processing.

Summary

What sets IFS Loops apart is its ability to integrate customer service agents, industrial digital workers, cross-system orchestration, and enterprise governance within a single platform. Following the acquisition of TheLoops, it retained its advanced CX capabilities while also expanding into the areas of manufacturing, asset, and service management where IFS excels.

It is suitable for medium to large enterprises that have well-defined processes, data management capabilities, and robust governance structures, rather than being a ready-to-use personal AI tool. Before making a purchase, it is necessary to test the quality of the service through a pilot project on a small scale, and the contract should specify the price, responsible parties, data handling procedures, interfaces, security measures, SLAs, and exit protocols.