Sweeper is Data Quality Navigator’s AI-powered data cleansing solution using intelligent agents and agentic workflows to automate error detection and correction across your enterprise data. These data agents independently validate, correct, and enrich master and transactional data in ERP (SAP, Oracle), CRM (Salesforce, Dynamics), procurement (Coupa, Ariba), and finance systems. Sweeper automates the cleansing of supplier master data, customer records, material masters, and financial data by applying business rules and real-time external validations like VAT ID, IBAN, and address checks. The agentic workflow engine allows you to configure when and how agents take action—ranging from suggesting corrections to fully autonomous fixes. Whether supporting ongoing operations or preparing for ERP migrations, Sweeper minimizes manual effort, improves compliance, and maintains data quality continuously. Empower your teams with AI agents that work 24/7 to keep your business data clean, complete, and ready for critical processes.

With Sweeper AI, you can

  • Use AI to clean your data at scale, without losing control
  • Enrich or fix commodity codes using AI and global classification systems like HS or UNSPSC
  • Correct fields like VAT IDs, IBANs, or addresses by cross-checking trusted external sources
  • Extract information directly from documents like invoices, specs, or contracts
  • Choose between full automation, approval flows, or manual review
  • Rely on an AI assistant that works in the background, always on, always learning

AI-Powered Data & Database Cleansing

  • Faster Data Cleansing data issues solved faster through smart suggestions by up to 80
  • An AI Assistant you can trust automated outcomes are better compared to manual cleansing by 60

DQ Agents for Intelligent Data & Database Cleansing

Sweeper AI operates through an agentic workflows with each agent focused on a specific task like document extraction, external validation, or code enrichment. Need something else? We’ll build a custom agent just for you.

  • Reader AI Agent

    Extract key values from documents

    Reader AI uses natural language processing (NLP) to extract structured data points like payment terms, material specs, or delivery conditions from unstructured documents such as PDFs. The extracted information is mapped to your ERP data and can be used directly to autocorrect incorrect entries or enrich missing ones.

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  • External Data Agent

    Correct fields using trusted sources

    By connecting to trusted, specialized data providers (e.g., Melissa for addresses or VIES for VAT IDs), External Data Agent verifies fields such as IBANs, VAT IDs, or addresses. It uses this information not only to identify incorrect data but also to automatically correct errors or enrich missing entries.

  • Commodity Code Agent

    Fix and enrich classification data

    The Commodity Code Agent uses a combination of a keyword database and LLM-powered classification logic to suggest or validate commodity codes (e.g., HS, UNSPSC, eCl@ss). Relevant product information is processed to extract key terms, which are then matched against global code structures. The system returns the most suitable classification, which can be directly applied to autocorrect or complete missing codes.

  • Custom Data Cleansing Agent (On Request)


    Need something specific?
    Our agents can learn your unique processes, logic, and requirements.

    Our agents can learn your business logic whether it's custom pricing rules, internal quality checks, or region-specific workflows. Get in touch to create your own intelligent assistant, fully aligned with your data needs.

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Explore the full capabilities of the Data Quality Navigator

Get a complete overview of how all features work together to solve real data challenges from assessment to cleansing, validation, monitoring, and governance.

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    Data Quality Navigator by BearingPoint helps organizations assess, fix, govern, and optimize business-critical data with expert-built rules, guided workflows, and measurable impact.

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