With Simplifier, you can integrate business agents directly into your business processes. As digital process actors, they understand tasks, connect systems, and execute steps autonomously—all under IT control.
Business AI for Enterprises: Productive Agents in 4 Weeks
- Model-agnostic: any LLM, on-premises or in an EU cloud
- Full governance and audit trail for every agent action
One central platform. Clear rules. Full transparency.
No uncontrolled proliferation of agents. Business AI under control.
- All business agents, prompts, data sources, and integrations in one place.
- Versioning, Reuse, and Lifecycle Management
- Prevents uncontrolled AI initiatives
Centrally controlled
- Pre-built connectors for SAP, ERP, CRM, DMS, and more.
- API-first, secure, stable—with certified integrations
Seamless & Integrated
- Integrate your own models and API keys — no vendor lock-in with LLM.
- Where your data is stored: EU cloud, private cloud, or on-premises.
Complete Freedom
- Fine-grained roles and permissions for people and agents.
- Policies, Approvals, and Compliance by Design.
Clear Governance
Simplifier is the runtime for AI solutions.
Companies define business agents in the Agent Builder, connect them to the existing integration layer, select the appropriate LLM for each use case, and run everything in a centralized, governance-enabled runtime.
5 Simple Steps
How Business AI Works in Simplifier
Business Agents are natively embedded in Simplifier. They are not integrated as third-party components, but are created, integrated, and operated as part of the platform.
01
Define
In the Agent Builder, you define the tasks, rules, limits, and desired outcomes of the business agent.
02
Connect
The agent uses the existing integration layer to access ERP, CRM, legacy systems, data sources, or APIs.
03
Select
For each use case, any suitable LLM can be integrated—in a model-agnostic and flexible manner.
04
Run
Simplifier handles the runtime, memory, and orchestration of the business agent.
05
Taxes
Governance, monitoring, security, cost control, and adoption measurement ensure secure enterprise operations.
Where Business AI Is Used
Productive Business Agents for Your Value Creation
Agents handle rule-based tasks throughout your business processes.
Examples:
- Invoice Review & Approval
- Order Processing
- HR Onboarding
Agents analyze real-time data from SAP, ERP, and MES—and support decision-making right where decisions are made.
Examples:
- Variance Analysis in Production and Purchasing
- Forecasting & Planning Based on Actual Data
- Risk Identification in Supply Chains
Agents answer inquiries and handle routine tasks wherever your employees work—at their desks, in the warehouse, or on the Shopfloor.
Examples:
- Shopfloor Reports & Production Data Collection
- Orders & Delivery Status Directly from SAP
- Knowledge-based answers from your systems and documents
Agents connect systems, services, and data securely and reliably.
Examples:
- Data Reconciliation
- Document Processing
- Master Data Maintenance
27 Specific Business AI Use Cases
Discover real-world examples of how Agentic AI can automate and optimize business processes in various areas.
- Use cases from manufacturing, logistics, service, HR, finance, sales, and purchasing
- Specific Examples of Business Agent Usage
- Inspiration for Your Next AI Automation Projects
Business AI that IT can manage.
Secure. Scalable. Under your control.
Full transparency
Every agent action is traceable. Comprehensive logging for audit and compliance purposes.
Compliance & Data Sovereignty
Policy-based. You determine which models, data, and systems are used.
Operating model based on
specifications: on-premises, hybrid, private cloud, or EU cloud. Scalable and controlled.
No tool proliferation
One platform. One governance model. Many agents and integrations under control.
Frequently asked questions
Business AI integrates AI into ongoing business processes. It helps understand data, interpret content, prepare decisions, and execute tasks within the process. The difference from Build AI: Build AI supports the creation of apps and workflows. Business AI operates within the production process.
Simplifier supports various deployment models: on-premises, cloud, or hybrid. This allows companies to control where data is processed and which AI services or local models are used. The data a model accesses is defined by the specific setup, permissions, and process design.
Control remains with the company. IT and the business unit define roles, permissions, rules, and escalation procedures. Critical steps can be handed over to humans. This prevents uncontrolled autonomy and instead enables AI-supported process execution with governance.
Business AI leverages the integration capabilities of the Simplifier platform. These include SAP connections via OData, RFC, or SOAP, as well as REST APIs and other enterprise systems. As a result, agents do not operate in isolation but are embedded within existing processes, permissions, and system landscapes.
RPA typically automates fixed processes. Business AI complements this automation in areas where interpretation, context, or decisions within defined limits are required. Simplifier combines both with workflows: The AI interprets, and the workflow executes.
Simplifier focuses on predictable AI usage rather than uncontrolled consumption logic. AI agents are available on a value-based flat-rate plan with a fixed monthly price. This allows companies to scale their business AI without immediately translating every process improvement into token costs that are difficult to plan for.
Get started now.
Take control of business AI.
In a workshop, we’ll show you how to safely integrate agents into your processes and get them up and running within 4 weeks.