Master Data & Data Quality Agent

The agent behind MDMAi. It profiles data on arrival, matches and merges duplicate records with learned confidence and keeps a trusted Golden Record current — with data stewards authorizing every consequential merge.

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Siliconex AI · Data & Analytics

Master Data & Data Quality Agent

The agent behind MDMAi. It profiles data on arrival, matches and merges duplicate records with learned confidence and keeps a trusted Golden Record current — with data stewards authorizing every consequential merge.

Profile · Match · Trust

• The Challenge

A duplicate list is a backlog. A Golden Record is an asset.

Customer, patient and provider data lives in many systems, each with its own version of the truth. Batch-based MDM and static rules can't keep up, and ambiguous matches pile up in steward queues while downstream analytics and AI consume stale records.

01

Rules without learning

Static match rules decay and can't absorb new sources or steward corrections.

02

Batch by design

Monthly profiling and nightly matching leave records stale between runs.

03

Queue-bound stewardship

Ticket volume grows with data volume; steward capacity does not.

• Capabilities

What the Master Data & Data Quality Agent does

Purpose-built skills that work together to complete the workflow end to end.

Continuous profiling

Checks completeness, validity and consistency the moment data arrives.

Standardization

Normalizes names, addresses, phones and emails before matching.

Learned matching

Scores potential duplicates with explainable, confidence-based matching.

Survivorship

Builds the Golden Record using configurable trust and recency rules.

Steward prioritization

Routes only uncertain or high-impact matches to stewards, ranked by risk.

Learns from stewards

Every steward decision improves future matching automatically.

• How It Works

From request to result in four steps

01

Profile

Quality measured and issues flagged on arrival.

02

Standardize

Values cleansed and normalized.

03

Match & merge

Duplicates resolved with explainable confidence.

04

Publish

Golden Record delivered to downstream systems.

• Human in the Loop

Autonomous where it's safe. Accountable everywhere.

High-confidence matches merge automatically within thresholds you set; uncertain or high-impact merges wait for a data steward. Every merge is reversible and fully traceable.

Built-in guardrails

  • Configurable auto-merge thresholds
  • Every merge reversible with full history
  • Source cross-reference (XREF) maintained
  • Explainable match scores for each decision
• Integrations

Works with the systems you already run

Secure connectors and APIs let the agent act inside your existing platforms — no rip-and-replace.

CRMERPBilling & Claims SystemsDatabricks · SnowflakeCustomer Data PlatformsData Catalogs
• Outcomes

What changes for your team

Trusted records

One current, accurate view of every customer, patient or provider.

Less manual triage

Stewards focus on the decisions that matter most.

AI-ready data

Downstream analytics and AI consume clean, current data.

See the Master Data & Data Quality Agent in action

Book a demo with our team to see how the agent fits your workflows, systems and governance requirements.