Evaluation · For the buying committee
Switching evaluators are right to be wary: analytics is where trust is won or lost. So Spotonix does not start with a migration. It starts with a proof. Spotonix is the AI analyst that interprets before it queries — it reads a business question, resolves it into a plan you can see before SQL executes. In Copilot mode, acceptance is an explicit checkpoint; the generated query is then checked against material plan bindings. Evaluate that behavior alongside the BI you run today before changing a production workflow.
The hard questions
No hand-waving. Each answer points to the mechanism — or to a page where you can watch it — not to a promise.
“Isn’t this just text-to-SQL with better prompts?”
Spotonix does generate SQL, but the visible analysis plan is a separate review artifact. Intent Algebra resolves the Segments, Calculations, and Analysis Patterns; Copilot mode adds plan acceptance, and semantic checks validate material query bindings.
See the difference, side by side →“Won’t a frontier model just do this for us?”
Frontier models are capable analysis systems, and custom implementations can add substantial context and controls. Spotonix provides a product-specific, Context Graph–bound analysis plan and Copilot acceptance gate. Compare the actual systems on that behavior.
Compare against a general LLM →“Will it work on our messy warehouse?”
A messy warehouse is exactly why the proof should use a real question. Spotonix grounds terms in a Context Graph built from schema and the domain context configured for the deployment. Test missing joins, contested metrics, and incomplete metadata directly.
How the Context Graph is built →“What about our semantic layer, dbt models, and metrics?”
Where supported connectors are available, existing definitions can inform the Context Graph. Reading Power BI (PBIX) semantic models is available today; dbt and LookML scope is confirmed per deployment.
Where it fits in your stack →“How is our data protected?”
Treat hosting, warehouse identity, model endpoint, network path, retention, and audit evidence as proof items. Spotonix does not currently publish universal runs-as-user or zero-egress claims.
Identity, residency, and access →“Do we have to replace our BI to try it?”
A proof can be scoped alongside your existing dashboards and warehouse. Confirm exactly which read-only or isolated access pattern is appropriate for the evaluation before connecting data.
How coexistence works ↓The proof
This is a shape, not a schedule. We don’t promise a number of weeks; we scope the proof with you and run it on a question your team already fields, so you’re judging the behavior on your own ground.
Pick a question the business asks over and over — the revenue breakdown, the cohort read, the exec cut. Something you already know the “right” answer to, so you can judge Spotonix honestly.
Watch Intent Algebra resolve the question into Segments, Calculations, and Analysis Patterns — and watch it surface material ambiguity. In Copilot mode, verify that query generation pauses for plan acceptance.
Compare the plan with the generated query. Verify that material Segments, Calculations, filters, grain, and scope are checked before execution. Do not use matching repeated output as proof of deterministic compilation.
If the workflow requires a persisted plan, stable identity, retrieval, versioning, or reuse, require evidence for each behavior. A one-shot demo cannot establish those properties.
On timelines We scope the proof to fit your evaluation window and the sensitivity of the data involved. We won’t quote you a fixed number of weeks up front — the honest answer is that it depends on your access, your question, and your committee. Design-partner engagements are underway, and worked traces use the public TPC-DS schema (illustrative).
Coexistence
Spotonix can be evaluated alongside existing BI. Reversibility depends on the actual topology, retained artifacts, and connector scope, so document those before the proof begins.
Alongside your BI
Keep your dashboards and reporting exactly as they are. Spotonix handles the questions that fall between the dashboards — the exact cut someone needs in the room — without you retiring anything people already rely on.
With an explicit deployment boundary
Document where every component runs, which credentials execute SQL, what reaches the model, what is retained, and how access is tested. The proof should not rely on generic architecture claims.
On your definitions
Where supported context is available, Segments and Calculations appear in the analysis plan. Connector scope and the binding path from existing definitions must be demonstrated.
Bring a question. Inspect the plan, checkpoint, query, and deployment boundary.
Prefer to talk it through first? The founders will walk your committee through the mechanism and scope a proof with you.