Enterprise Data Management
Agentic approach to enterprise data management — curation, quality, and scale.
Enterprise data management applies agentic methods to curate, govern, and operate data at scale — supporting data product design, field mapping, and continuous quality across the stack.
What this accelerator delivers.
Enterprise data estates are too large and too fragmented for manual curation alone. Static catalogues go stale within weeks; data quality issues surface only when agents fail in production. This accelerator embeds agentic methods into data management — accelerating data product design, continuous quality checks, and field-level governance at scale. Forward Deployed Engineers work alongside your data teams to move from passive catalogues to living data products that feed production agents with qualified, auditable data. The result is not another MDM shelfware deployment — it is an operational data management capability that keeps pace with agentic workloads and regulatory scrutiny in banking, insurance, and other regulated industries.
Agentic curation and quality workflows
Data product design aligned to value streams
Scale across complex regulated estates
Continuous quality, not one-off catalogues
Concrete artefacts, not slide decks.
Data estate assessment
Agent-assisted analysis of data assets, quality gaps, and product opportunities across the estate.
Agentic curation workflows
Automated mapping, classification, and quality checks embedded in the data lifecycle.
Data product specifications
Governed data products designed for specific agent workloads and value streams.
Quality monitoring dashboard
Continuous data quality metrics and alerting for production agent dependencies.
Four phases to production go-live.
Embed & discover
FDEs embed with your data team to assess the estate and prioritise data products for agent workloads.
Unify context
Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.
Configure & evaluate
Configure agentic curation workflows, data product specs, and quality monitoring for production.
Deploy & monitor
Go live securely in your cloud with FDEE-led monitoring, continuous evaluation, and proactive tuning.
Where this accelerator applies.
Regulatory reporting data products
Curate and qualify data products for financial reporting and reconciliation agents.
Actuarial and claims data curation
Agentic quality workflows for actuarial models and claims processing data.
Enterprise data product factory
Repeatable pattern for designing and operating governed data products at scale.
Production outcomes, not pilot metrics.
Reduction in manual data mapping effort via agentic curation workflows.
Faster data product delivery compared to traditional catalogue approaches.
Data quality threshold maintained for production agent workloads.
Related accelerators
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Frequently asked questions
- How does agentic data management differ from traditional MDM?
- Agentic data management embeds AI-assisted curation, mapping, and quality workflows into the data lifecycle — accelerating data product delivery rather than maintaining static catalogues.
- Can this work with our existing data catalogue?
- Yes. The accelerator enhances and operationalises your existing tools — connecting catalogues to live agent workloads with continuous quality checks.
- Who operates data products after go-live?
- FDEs transfer operational knowledge to your team during delivery. Managed AI services can provide ongoing monitoring if needed.
- What industries benefit most?
- Regulated industries with complex data estates — banking, insurance, and financial services — where data quality directly impacts compliance and agent accuracy.