How it works
Built rigorously. Answered with trust.
Your team approves the Trust Layer once. Then every question your business asks travels through it before reaching your data.
Build lifecycle
How your Trust Layer gets built.
Agami does the heavy lifting. Your team owns the approval. Live in days, not quarters.
Step 1
Build
Agami auto-generates the first draft from your schema.
Step 2
Vet
Your team reviews and approves. Nothing ships unsigned.
Step 3
Deploy
Versioned in Git, shipped through your CI/CD.
Step 4
Secure
Your row and column policies enforced at query time.
Step 5
Auth
Your SSO and IdP. Every answer ties to a human identity.
Step 6
Surface
Answers reach Claude, ChatGPT, Cursor, Copilot, Gemini.
Don't have a data team? Agami can run all six steps as a fully managed service.
Query time
How every question travels through it.
Auth, security, semantic model, query, answer. Every question runs the same gates before reaching your data.
-
You ask
“How is gross margin trending vs plan?”
VP, Finance · Asked in Claude
-
Auth & security
Authorizedfinancemarketing · sales · HR · CRM -
Context
Grounded · 96%Definition gross-marginMemory 14 similar queriesValidators 4 of 4 passed -
Data
ExecutedPlan partition pruned · 1.2M rowsPolicies row + column appliedFreshness loaded 2h ago -
You get
Gross margin · Q2
62.4%
↑ +1.8 pts vs plan
Core 68%Pro 61%Ent 58%Mix shift to Pro is lifting margin.
Certified
Quality flywheel
How the Trust Layer learns from every question.
Eval scores in, user feedback in. AI proposes changes; the change passes regression tests before a human sees it; your team approves what ships.
Step 1
Inputs
Eval scores, user feedback, and failed queries feed the loop.
Step 2
AI suggestions
Agami proposes refined definitions and new examples.
Step 3
Regression tests
Changes pass your golden datasets before review.
Step 4
Human validation
Your data team reviews and approves what ships.
Step 5
Trust Layer sharpens
Higher pass rate, sharper next answer.
Continuous loop
See it on your data.
Start a free trial with your own datasources, or book a 30-minute conversation with the founders.