# An AI analyst on governed company data: start with one decision

Analyst combines the lakehouse, private models and agent sandboxes. Scope one business question, its permitted evidence and the checks a human reviewer will apply.

## Relevant capabilities

- Velocity Lakehouse, Enclave and AgentBay together
- Semantic-layer and policy-governed data
- Analysis code in sandboxes and data-quality monitors

## How to compare

- Are the business definitions and data owners agreed?
- Can each intended role access the required evidence?
- Which answers require human review before use?

## Bring these inputs

- A business question and trusted reference answer
- Approved datasets and metric definitions
- Roles, permissions and review criteria

## A practical first workflow

- Choose one decision and define what a useful answer must contain.
- Configure data permissions and semantic definitions.
- Compare outputs with trusted analysis before expanding the audience.

## Check before expanding

- Check calculations and evidence links.
- Test role-based differences in visibility.
- Review missing data and uncertain conclusions explicitly.

## Economics
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.

## Switching considerations
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.

## Free next step
Get a free deployment checklist, then create your workspace. Free expert help with your use case is also available through our contact form.

[Create your HyperLake workspace](https://app.hyperlake.cloud/users/sign_in?intent=governed-ai-analyst&offer_id=starter-checklist-v1&utm_source=hyperlake&utm_medium=owned&utm_campaign=signup-journey&utm_content=landing_hero)

[Download the free checklist](https://hyperlake.cloud/solutions/governed-ai-analyst.txt)

No free cloud capacity is promised. Deployment scope and charges are agreed separately; AWS and Google Cloud are available today.

## Sources
- https://hyperlake.cloud/stacks
- https://hyperlake.cloud/faq
- https://hyperlake.cloud/get-started

[Discuss this workload](https://hyperlake.cloud/contact)