Get Started with Claude Agents
From proof-of-concept to production deployment. Here's everything you need to know to implement Claude agents for your data management workflows.
Prerequisites
Anthropic API Access
An Anthropic API key with access to Claude Sonnet and/or Opus models. We help you set this up if needed.
Data Platform Access
Read access to your data platforms (Snowflake, Databricks, PostgreSQL, etc.) for agent connectivity.
Engaged Team
A data engineering or analytics team member to collaborate on agent design and validation.
Implementation Timeline
Discovery & Assessment
Activities
- Data estate analysis and prioritization
- Identify high-value automation targets
- Technical environment review
- Agent architecture design
Deliverables
- • Assessment Report
- • Agent Architecture Diagram
- • Implementation Roadmap
Agent Development
Activities
- Configure agents for your environment
- MCP server setup and testing
- Integrate with your data platforms
- Initial profiling runs
Deliverables
- • Configured Agent Suite
- • MCP Integrations
- • Initial Profiling Results
Pilot & Validation
Activities
- Run agents on pilot datasets
- Validate rule recommendations
- Refine agent prompts and thresholds
- Team training and handover
Deliverables
- • Validated Rules
- • Trained Team
- • Operations Playbook
Scale & Optimize
Activities
- Expand to additional data domains
- Continuous monitoring and improvement
- New agent development
- Performance optimization
Deliverables
- • Scaled Deployment
- • Performance Reports
- • Continuous Improvement
Engagement Options
Choose the engagement model that fits your needs and budget.
Proof of Concept
4 weeksValidate the approach with a focused pilot on one data domain.
- 1 data domain/source
- 2 agents deployed
- Basic MCP integration
- Team training session
- PoC report with recommendations
Foundation
6-8 weeksFull implementation across your core data platform.
- Up to 5 data domains
- Full agent suite (5 agents)
- Complete MCP integration
- Comprehensive training
- Operations playbook
- 30 days support
Enterprise
CustomLarge-scale deployment with custom agents and ongoing support.
- Unlimited data domains
- Custom agent development
- Multi-platform integration
- Dedicated support
- SLA guarantees
- Quarterly reviews
Frequently Asked Questions
What data platforms do you support?
We support Snowflake, Databricks, PostgreSQL, MySQL, BigQuery, Redshift, and most major cloud data platforms through MCP integrations.
Do I need Claude API access?
Yes, you'll need an Anthropic API key. We help you set this up and optimize token usage for cost efficiency.
How much does the Claude API cost?
API costs depend on usage. For typical data profiling workloads, expect $50-500/month. We optimize prompts to minimize token consumption.
Can I customize the agents?
Absolutely. All agents are defined as Markdown files that you own. We train your team to customize and extend them.
What about data security?
Agents run in your environment and connect to your data via MCP. No data leaves your infrastructure. API calls contain prompts, not raw data.
Do you offer ongoing support?
Yes. We offer retainer agreements for ongoing advisory, new agent development, and optimization support.
Start Your Implementation
Tell us about your data challenges and we'll get back to you within 24 hours.