Governed Analytics

Give business teams answers without losing SQL control.

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

Move from repetitive work to decisions people can stand behind.

Business users wait days for SQL queries

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.

The problem with generic Text-to-SQL

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.

Governed SQL transparency & validation

Supported questions can produce SQL for inspection, result tables, charts where useful, and an explanation. Ambiguous, unsupported, or out-of-scope questions should be flagged rather than forced into an answer.

Approved access and documented processing paths

We agree on hosting, supported database connections, read-only permissions, and user access rules. Query permissions are enforced and tested at the relevant layers; model context, returned results, logs, and retention are reviewed separately.

How it works

More than a chatbot on top of your documents.

The system works with approved data and tools, shows where important answers came from, handles exceptions, and brings the right person in when judgment is required.

Define the job clearly

Agree on the work, information, business rules, user roles, desired output, and what the AI is allowed to do.

Use the right information

Bring in only the approved documents, records, business data, control libraries, or playbooks needed for the task.

Make answers easy to check

Give your team findings, matrices, notes, data-backed answers, or work queues with sources and clear reasons for exceptions.

Measure before expanding

Track edits, accuracy, time saved, exception quality, and adoption before applying the system to more work.

FAQ

Frequently asked questions

Does this require moving our data?

A workflow can query an existing database without migrating it. Query results, schema context, logs, and model requests may still be processed elsewhere, so the complete data flow is agreed before use.

Can it handle complex, messy database schemas?

We assess the schema, table relationships, business definitions, and available documentation, then test representative questions. Complex or ambiguous questions may need clarification or a narrower scope.

OpenAI Select Partner

Technology partnership

Build with an OpenAI Select Partner.

We design and integrate OpenAI services within your approved architecture.
See how we approach security

Have something in mind?

Which recurring task is taking too much of your team's time?

Tell us about the review, diligence, reporting, data, or document work you want to improve. We will help you find a practical place to start.