Solidatus unveils AI assistant to automate data lineage

Solidatus has launched an agentic AI product that automates the creation and maintenance of data lineage maps, as regulated organisations face rising scrutiny over data traceability and the records used in reporting and AI systems.

Its Solidatus AI Lineage Assistant builds lineage across "complex enterprise data estates" and produces audit-ready evidence. Solidatus positions it as an alternative to slow, manual lineage work that can take months and quickly becomes outdated as systems change.

Data lineage tracks how data moves from its source through transformations and systems to business use. It is a core element of governance programmes designed to show where data came from, what happened to it, and who used it. In regulated sectors, lineage work often supports broader requirements for risk management, reporting controls, and security.

Financial services firms face detailed expectations for data management and operational resilience. Solidatus pointed to BCBS 239 and the Digital Operational Resilience Act as examples of frameworks that require clear documentation across reporting chains and systems. It said gaps in traceability can trigger remediation programmes and delay technology change.

How it works

The AI Lineage Assistant operates across technical and business domains, stitching lineage across systems and linking physical data to business terms. It also enriches metadata and flags regulatory gaps.

Solidatus described a "controlled safety sandbox" that gives the assistant contextual visibility across an organisation's data estate. It said the tool provides explainable reasoning and a full audit trail showing what was proposed, what was approved, and when.

Unlike AI assistants that primarily answer questions about existing metadata, Solidatus said its assistant performs governance tasks. Users interact with it through natural language prompts to trace upstream dependencies, identify sensitive data flows, and act on findings.

The product includes controls to keep suggested changes visible before they move into production, along with undo and redo features as part of the governance process.

Compliance pressure

Data lineage has become a more prominent board-level issue as organisations expand the use of AI in business processes and decision making. Regulators have also increased their focus on controls, evidence, and accountability. Some firms report that AI projects stall when data owners cannot show clear provenance or when the business lacks confidence in data quality.

Stewart Bond, Vice President of IDC's Data Intelligence and Integration Software service, said, "As AI becomes embedded in critical business processes, audit-ready data lineage is no longer a nice-to-have, it is a foundational requirement for transparency and accountability across complex data environments. Regulators and boards increasingly expect organisations to demonstrate not just what decisions were made, but exactly what data underpinned them, where that data came from, how it was transformed, and whether it can be trusted. Delivering that level of evidence at the speed modern enterprises require means rethinking how lineage is built and maintained. Approaches that combine AI-driven automation with human validation are emerging as the practical path forward for producing lineage that is fast to generate and defensible under scrutiny."

Beyond metadata

Solidatus said the AI Lineage Assistant ingests unstructured material, including PDFs, spreadsheets, images, and other documentation, and converts it into interactive, queryable lineage. It framed this as particularly useful for organisations that rely on older documentation that sits outside formal metadata catalogues.

For organisations developing AI systems, Solidatus said the assistant supports provenance tracing back to authoritative sources. It linked that need to requirements emerging under the EU AI Act, and said the resulting governance artefacts can support not only compliance teams but also data science teams building models that depend on known and controlled inputs.

Deployment options reflect sensitivities around governance data. Solidatus said the assistant can run on customers' own enterprise large language models, keeping metadata inside the customer's governance boundary and supporting data sovereignty requirements.

Market context

Solidatus sells a data lineage platform used by organisations with large, complex data environments. It said customers include HSBC, Deutsche Bank, Bank of New York, and M&T Bank. According to the company, the platform maps data flows from source through transformations and systems to business use, and includes version control and business context overlays.

Philip Dutton, Founder and CEO of Solidatus, said, "Every organisation we work with is racing to fuel their AI ambitions with complete data lineage as context, but building it manually takes months. Our new AI Lineage Assistant has access to the full capabilities of the most advanced metadata modeling tool in the market, enabling teams to move at the speed regulators demand without sacrificing the human oversight and accountability they require to deliver their AI ambitions at scale."

Solidatus said the assistant maintains a full audit trail of proposed and approved changes as organisations expand lineage coverage across systems and data domains.