AI Agents for Enterprise
Data Management
Automate data quality, discovery, and governance with Claude's multi-agent architecture. Deploy specialized agents that work in parallel, each with isolated context and domain expertise.
Data Teams Are Drowning
Manual processes can't keep pace with the scale and complexity of modern data estates.
Quality Rules Lag Behind
Data evolves faster than teams can write validation rules. Edge cases slip through, trust erodes.
Manual Profiling Bottlenecks
Analysts spend weeks profiling new sources. Onboarding becomes a barrier to data-driven initiatives.
Governance Is Reactive
Compliance audits reveal gaps too late. Sensitive data classification happens after the breach.
Multi-Agent Architecture
Specialized AI agents working in parallel, each with isolated context and domain expertise.
Purpose-Built Data Agents
Each agent is specialized for a specific domain within the data management lifecycle.
Data Quality Profiler
Statistical analysis and data characterization. Profiles completeness, uniqueness, validity, and distribution patterns.
Rule Recommender
Generates validation rules from profiling results. Outputs Great Expectations, dbt-expectations, or Soda specs.
Data Discovery
Crawls data sources to extract metadata, classify PII, and build a searchable asset inventory.
Data Modeller
Designs Medallion and dimensional models. Generates DDL scripts, dbt models, and ERD documentation.
Governance Checker
Classifies data sensitivity, maps regulatory requirements, and generates compliance reports.
How It Works
From assessment to continuous automation in three phases.
Assess
We evaluate your data estate, identify high-value automation targets, and design the agent architecture.
Configure
Deploy agents with your specific tools, platforms, and business rules. Connect via MCP to your data infrastructure.
Operate
Agents run continuously with human oversight. Monitor performance, refine rules, and scale across your estate.
Use Cases
Real-world scenarios where Claude agents accelerate data management.
New Source Onboarding
Automate the analysis, profiling, and documentation of new data sources.
Discovery → Profiler → Recommender → ModellerEstate-Wide Profiling
Run parallel profiling across your entire data warehouse to establish quality baselines.
Profiler (parallel) → Recommender → GovernanceCompliance Automation
Continuously monitor data assets for regulatory compliance and sensitivity classification.
Discovery → Governance → AlertingData Product Creation
Accelerate the creation of trusted data products with automated quality and documentation.
Modeller → Profiler → Recommender → GovernanceIntegration Stack
Built on Claude Agent SDK with MCP connections to your data infrastructure.
Learn More
Deep-dive into the technical details and get started with agent templates.
Technical Deep-Dive
Read the full article on agent architecture, MCP integration, and orchestration.
Read ArticleAgent Templates
Access our agent definitions and MCP configurations as part of your engagement.
Request AccessReady to Automate Your Data Management?
Book a discovery call to assess your automation opportunities and design your agent architecture.