Governed Analytics
When every off-dashboard question becomes an analyst ticket, we build governed answer workflows with approved data scopes, visible SQL, business definitions, and validation before rollout.
What changes for your team
When every operational question requires a data engineer to write custom SQL, decision-making slows and data teams become a queue. We implement governed answer workflows so approved users can ask recurring questions without bypassing controls.
Generic text-to-SQL tools can join the wrong tables, use the wrong business definition, or ignore permission boundaries. Our systems use approved semantic context, verified joins, visible SQL, and validation questions before teams rely on the output.
Every plain-English question produces inspectable SQL, result tables, charts where useful, and an answer narrative. Data owners can review the generated query, business definitions, filters, and source scope before trust is expanded.
We deploy within your VPC. The system connects to Snowflake, BigQuery, or PostgreSQL using read-only credentials. It enforces your existing Row-Level Security (RLS) policies by injecting user identity context into every generated query.
How it works
Agree on the work, information, business rules, user roles, desired output, and what the AI is allowed to do.
Bring in only the approved documents, records, business data, control libraries, or playbooks needed for the task.
Give your team findings, matrices, notes, data-backed answers, or work queues with sources and clear reasons for exceptions.
Track edits, accuracy, time saved, exception quality, and adoption before applying the system to more work.
FAQ
No. We connect to existing warehouses such as Snowflake, BigQuery, or Postgres using read-only credentials and approved network paths.
Yes. We implement a semantic layer that maps your complex database schema into clear business definitions, allowing the AI to generate accurate queries.
Technology partnership
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