PROLIM helps organizations build an AI-ready foundation and production-grade agentic workflows on Snowflake, bringing structured and unstructured data together with intelligent reasoning, governed access, and autonomous action.
Zero
data movement outside
your Snowflake account
One
access policy for people
and agents alike
Every
agent step logged
end to end
Why Snowflake
Snowflake enables governed AI agents to reason over enterprise data without moving it outside the existing data environment.
Data Stays Within the Perimeter: Run AI models directly against data in your Snowflake environment.
Access Inherits User Permissions: Extend RBAC, row-level access, and masking policies to AI agents.
Every Action Is Traceable: Log agent retrievals, tool calls, and interactions end to end.
Reason Across All Enterprise Data: Bring structured and unstructured data, including documents, images, and transcripts, into the agent workflow.
The Problem
Most AI pilots fail to reach production because of gaps in trust, security, explainability, and enterprise data access.
Answers nobody can verify
AI outputs without clear data lineage or sources are difficult to trust, especially in regulated workflows.
Security cannot sign it off
External models and separate permission layers create security and compliance barriers.
Knowledge locked in documents
Critical AI context remains buried in contracts, policies, reports, tickets, transcripts, and scanned records.
OUR APPROACH
Four Ways We Build Your Agentic AI Capability
Engage one capability as a standalone outcome or sequence all four into a connected enterprise AI program.
01
AI Strategy & Readiness
Prioritize AI use cases that deliver measurable business value and create a focused roadmap for responsible AI adoption.
- Use case prioritization
- Data & AI readiness assessment
- Target architecture & governance
- Responsible AI & human oversight
- Costed implementation roadmap
02
Data Agents
Turn governed enterprise data into trusted answers and conversational data experiences.
- Natural language access to business data
- Governed semantic models
- Enterprise document & data search
- Agent integration through MCP
- Accuracy & evaluation testing
03
Document & Multimodal AI
Unlock insights across documents and content using AI-powered extraction, understanding, and automation.
- Document & multimodal data ingestion
- AI-powered extraction from complex documents
- Summarization, classification & sentiment analysis
- Governed retrieval with access controls
- Structured outputs for business use
04
ML & AI Operations
Move AI from experimentation to reliable production with consistent monitoring, evaluation, governance, and cost control.
- Feature management & model serving
- Automated training and inference
- Model & agent monitoring
- Evaluation and human review
- AI cost tracking & governance
Snowflake Cortex, End to End
Cortex Agents
Orchestrate AI agents that retrieve, reason, and act across structured data, documents, and enterprise knowledge.
01
Snowflake Intelligence
Give business users a conversational way to ask questions, explore data, and get trusted answers in natural language.
02
Cortex AI Functions
Use AI directly in SQL to extract, summarize, classify, and analyze documents, images, and other unstructured content.
03
Snowflake ML & Horizon
Build, deploy, and monitor ML models with enterprise-grade governance, security, lineage, and observability.
04
OUR APPROACH
From AI Strategy to Intelligent Action
Build and scale trusted Agentic AI through a focused, enterprise-ready approach.
01
Identify
Prioritize high-value AI use cases and define clear outcomes.
02
Prepare
Connect trusted enterprise data with secure, governed access.
03
Build
Design intelligent agents that connect data, tools, and workflows.
04
Govern
Test, validate, and secure AI with responsible governance.
05
Scale
Monitor performance, optimize costs, and expand AI enterprise-wide.
Trusted
Secure
Actionable
Scalable
Measurable
Move from AI pilots to agents in production
Assess your AI readiness, identify the right use cases, and get a clear roadmap to move from experimentation to production-ready AI agents.
