Snowflake agent suite
Experiatech agents address named operational problems in the data platform. They read only what they need, explain their findings and keep a reviewable trail.
Exact views and grants
Findings cite operational data
No default write path
Finding, evidence and approval
Launch products
Understand the Snowflake account
What is this table, who owns it, where does it come from, and what depends on it?
Teams can query data they cannot explain. Ownership lives in people’s memory, object comments drift, and impact analysis begins with manual investigation.
Explain and govern Snowflake spend
Which workloads are consuming credits, why, and who is accountable for the spend?
The monthly bill is visible after the fact, while idle capacity, poor suspension settings, workload ownership and contract trajectory remain hard to explain.
Diagnose before optimising
Why is this workload slow, and what evidence supports the recommended change?
Performance work often starts with a preferred remedy rather than a measured cause. Teams resize warehouses without separating queueing, spill, scan, pruning and join behaviour.
Deployment architecture
Default for sensitive data
For Azure-standardised enterprises
Commercial path
Contact for pricing. Scope depends on account footprint, deployment mode and support requirements.
Product roadmap
Explain effective access, excessive roles and missing protection policies.
Narrate task, stream, Snowpipe and dynamic-table failures.
Report the blast radius before a column or model changes.
Translate legacy SQL and expose lift-and-shift anti-patterns.
Keep dictionaries, glossary terms and certified-product documentation aligned.
Describe the decision, platform or operating risk that is slowing you down. We will identify the evidence required and whether consulting, training or a scoped agent is the right response.
