Description
Zapliance is a Hamburg-based company that builds named AI agents for SAP data governance, continuous monitoring, auditing and compliance. Rather than selling one general-purpose dashboard, it packages its technology into "teams" of agents that a company adds to its existing SAP environment.
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Werner is the core data agent: it exports, labels and analyzes SAP data, retrieves SAP attachments, and uses machine learning to prioritize which of the thousands of hits a rule-based analysis produces are actually worth a person's attention. Wilma is a chat-based companion agent that sits alongside Werner's output, explaining SAP-jargon results in business language, helping a team prioritize findings and follow up on them, and running with a company's own approved large language model. Wickie and Wilma form an "advanced monitoring" team pitched at complex, time-sensitive SAP data analytics and exports at scale, while Wolfgang is a project-based data agent for one-off work such as audit preparation, and can also pair with Wilma for the same interpretive support.
Zapliance's published use cases include audit preparation, finance benchmarking, internal control system (ICS) assessment, duplicate-payment detection, and both standard and advanced continuous monitoring. Its worked example is duplicate-payment analysis: standard rule-based checks across a large SAP dataset produce mostly false positives, and Werner's stated role is to filter and prioritize those hits automatically instead of leaving a team to sift through thousands of results by hand.
The agents run on-premises, with no external access to a client's data, and Zapliance states it is ISO 27001 certified. Both AI-driven and non-AI, rule-based, analysis options are available depending on a client's policies, and Wilma is described as compatible with a company's own MCP environment and pre-approved LLM.
Zapliance is built for accounting, internal audit and compliance teams working inside SAP, particularly regulated organizations that need governance and monitoring work done without sending financial data off-premises. Pricing is not published; engagement starts with a call to choose the right agent team for a company's SAP setup.
- CategoryCompliance & Risk Management
- Pricing ModelSubscription
- DeploymentOn-premises
- PlatformsWindows
Zapliance's Core Features
Werner, an AI agent that exports, labels, analyzes and continuously monitors SAP data
Machine learning prioritization that filters thousands of rule-based hits down to the ones worth reviewing
Werner retrieves and analyzes SAP attachments alongside structured data
Wilma, a chat-based agent that explains SAP data findings in plain business language
Wilma compatible with a company's own approved LLM and MCP environment
Purpose-built agent teams for continuous monitoring versus one-off audit and benchmarking projects
On-premises deployment with no external access to client data
ISO 27001 certified, with both AI and non-AI, rule-based, analysis options
Named use cases: audit preparation, finance benchmarking, ICS assessment and duplicate-payment detection
How to use Zapliance?
Talk to Zapliance: Book a short call to describe your SAP governance or audit need.
Pick a team: Choose a basic monitoring, advanced monitoring, or project-based agent team based on your use case.
Connect Werner: Werner exports and analyzes your SAP data on-premises, prioritizing results with machine learning.
Review with Wilma: Ask Wilma to explain, prioritize or follow up on the findings in plain language.
Act on results: Take the flagged issues, such as duplicate payments or control gaps, to your team for resolution.
Zapliance's Use Cases
- Duplicate payment detection
- Continuous SAP monitoring
- Audit preparation
- Finance benchmarking and ICS assessment
