A Claude prototype is quick to build. Production needs more around it.
Before people can rely on it, Claude needs governed data, access rules, evaluation and monitoring, and clear limits on what an agent may do on its own.
- Prototypes that never connect to live data
- No way to measure answer quality
- Unclear limits on what an agent may do
- Cost and latency nobody tracks
Claude, on the platform you already run.
Claude reads manuals, contracts and research, and answers with the source cited.
- Document intelligence and extraction
- Enterprise RAG and knowledge assistants
- Knowledge graphs and contextual retrieval
Claude-based agents that use your tools and data through approved, auditable connections.
- Agentic workflows and tool integrations
- MCP-based enterprise integrations
- Claude Code for engineering workflows
Quality, cost and safety are measured before release and watched after it.
- Prompt, retrieval and end-to-end evaluation
- Model, latency, quality and cost monitoring
- Human approval for consequential actions
Claude runs on Amazon Bedrock, Snowflake, Databricks, Google Vertex AI or the Anthropic API. We choose the option that fits your platform and data rules.
Controls in place before go-live
Every Claude system we ship has these controls before it reaches production.
- 01Explicit tool and data permissions
- 02Read-only defaults for investigation
- 03Evaluation before production release
- 04Evidence and audit trails
- 05Approval gates for material actions
- 06Clear fallback and escalation behaviour
- 07Customer-controlled data and deployment
From kickoff to your first Claude use case in production.
Claude on Amazon Bedrock, Snowflake, Databricks or Vertex AI.
Pipeline issue resolution at 10xCRM with a Claude-based agent, down from 6–8 hours.
Results in production
Certifications our team holds
Claude Certified Architect – Professional
Claude Certified Architect – Foundations
Claude Certified Associate – Foundations
AWS Certified Data Engineer – Associate
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Professional
AWS Certified DevOps Engineer – Professional
AWS Certified Security – Specialty
AWS Certified Machine Learning – Specialty
AWS Certified AI Practitioner
Questions we hear
Where can Claude run?+
On Amazon Bedrock, Snowflake, Databricks, Google Vertex AI or the Anthropic API. We use the option that fits your platform and data rules.
Does our data stay under our control?+
Yes. Through Amazon Bedrock, Snowflake, Databricks or Vertex AI, Claude is served by your cloud provider under your existing access and data controls.
Are you an Anthropic partner?+
Yes. AgentixLake is a Registered Partner in the Claude Partner Network, and our engineers hold Claude and AWS certifications.
How do you keep answers reliable?+
Every answer cites its source, and we test retrieval and answer quality against an evaluation set before release and after every change.
What happens after the Sprint?+
You can run it yourself, extend it with a Build, or have us operate it with Managed.