For data leaders
Give more people a path to AI answers without making experts the permanent trust layer.
You are accountable for useful AI self-service—and for the expert time it consumes. Spotonix makes the interpretation and answer basis visible so the responsible team can review the right layer of the work.
The workday today
Self-service still depends on the people who know what the numbers mean.
The hard part is not generating a query. It is reconstructing company meaning, checking the interpretation, and explaining why the result can be used.
Plausible is not enough
You remain accountable for the answer.
A generated answer can look right while using the wrong segment, grain, or comparison. Your team is still asked to defend what happened.
The human API
Experts teach the same context repeatedly.
The business asks in ordinary language. Analysts reconstruct the hidden definitions, sources, and exceptions one request at a time.
The second queue
AI can move the bottleneck into review.
If every generated result still needs an expert to inspect and explain it from scratch, the ticket queue has only changed shape.
What changes
The handoff becomes visible and reviewable.
Spotonix does not remove business judgment. It gives that judgment a place to appear before and after execution.
01
Ask
Surface the fork before execution.
When unresolved company meaning could change the analysis, Spotonix asks instead of silently choosing a definition.
02
Show
Expose the plan and answer basis.
The responsible team can inspect selected concepts, grain, filters, generated logic or SQL, sources, and supporting artifacts.
03
Remember
Keep supplied meaning available.
Team-supplied terms can remain in workspace context so later questions do not have to begin with the same explanation.
Representative questions
Test the terms that make an answer defensible.
A small change in business meaning can send the analysis down a different path. These are the forks a useful evaluation should expose.
“How many active users did we have last month?”
Login, product action, paid activity, and rolling-window definitions can produce different counts.
“Why did revenue miss plan?”
Booked, billed, recognized, gross, and net revenue change both the plan and the explanation.
“Which customers are most likely to churn?”
Cancellation, non-renewal, inactivity, and contraction describe different risks and interventions.
Who owns what
Keep the responsible team in the loop.
Spotonix supplies a review surface and carries explicit context forward. Your team still decides which definitions and evidence are fit for the workflow.
Data leadership
Set the evaluation boundary.
Choose the questions, reviewers, systems in scope, required evidence, and what a successful workflow must prove before broader use.
Data experts
Remain the authority on company meaning.
Experts define or review the terms that matter. Spotonix makes their judgment explicit; it does not appoint itself the owner of the metric.
A bounded proof
Test 10 questions your experts already have to teach and check.
Compare Spotonix with the current path using the same questions, retries, interventions, and evidence requirements.
Book DemoSee how it works