AI grounded in a semantic model
Omni uses its semantic model to guide AI analysis and scope the data available to it.
Read the vendor documentationPolyform vs Omni
The short answer
Omni provides governed analysis, dashboards and AI grounded in a semantic model. Polyform combines a connected data platform, maintained business context and a dedicated weekly expert around an agreed analytics or automation result. Choose based on the work and ownership you already have around BI.
01 / Give credit first
Start with the capability you actually need, then evaluate the surrounding work.
Omni uses its semantic model to guide AI analysis and scope the data available to it.
Read the vendor documentationOmni offers AI analysis alongside SQL and spreadsheet-style work, with visualizations and dashboard creation.
Read the vendor documentationOmni Routines run saved prompts on a schedule through the governed semantic model. Evaluate them when recurring analysis is the job.
Read the vendor documentation02 / Compare the operating responsibility
The decision is who owns the work around the answer: agreeing on meaning, checking sources, implementing changes and keeping the result useful.
Implementations, editions and contracts vary. Use these questions to verify your proposed setup. Polyform’s column describes its agreed operating model.
A shared semantic model governs analysis. Identify who in your implementation approves definitions and keeps them current.
The weekly expert and your team agree on business meaning. Definitions, decisions, evidence and work history stay in the shared system.
Omni supports analysis, dashboards and scheduled AI routines. Verify who implements and validates any source, transformation or downstream changes the job needs.
Poly and its agents investigate, build and validate permitted data work across the connected system. Consequential decisions go to the expert.
Name the internal team or partner responsible for investigating and repairing the affected data path, and confirm the contracted support boundary.
A dedicated expert maintains the agreed foundation and steps in when the AI cannot finish reliably. New expert-delivered outcomes are separately approved.
The semantic model and saved analysis provide reusable analytical context. Verify how decisions, tests and work outside BI are recorded.
Reports, definitions, Tasks, evidence and completed work remain connected so the next request can reuse the operating record.
Determine who owns source preparation, model stewardship, permissions, the warehouse and the operational destination in your environment.
You keep your warehouse, useful people and tools. You provide domain truth, access, priorities, approvals and acceptance of the result.
See the dedicated expert’s responsibilities and current pricing and scope. Applicable usage and new expert-delivered outcomes remain distinct from included foundation maintenance.
03 / Beyond the feature list
A place to encode retention is valuable. The business still has to decide whether reactivated customers count, which events qualify and which period is complete. Ask who resolves those questions and records the decision.
Omni already supports scheduled AI analysis. If your request also changes a source model or an operating workflow, demonstrate those steps in the proposed implementation and name their owners.
Test a changed source or disputed definition. The useful difference is the accepted repair responsibility, rather than a claim that one product has AI and the other does not.
04 / Ask both options to show the same job
Use one real question in your evaluation. This Northlane example is an illustrative test agenda, not a customer result.
Which customers, events and time window count? Who approves exceptions?
Show completeness, the model and the records behind the change.
Show the permitted changes, validation and a result the team can review.
Who repairs a broken source or resolves a disputed definition next week?
Compare the demonstrated path and the responsibility accepted for it.
05 / Choose against the bottleneck
06 / Questions buyers ask
Yes. Omni documents AI grounded in its semantic model and Routines that run prompts on a schedule. Compare the demonstrated scope of the workflow and its repair owner, rather than assuming Omni stops at a dashboard.
Polyform can work with your warehouse and useful existing tools. Scope which definitions, outputs and operating responsibilities stay with your BI environment and which Polyform owns. Confirm any specific integration before committing.
Include definition stewardship, source preparation, implementation, validation, warehouse usage, ongoing maintenance and incident ownership. For Polyform, distinguish included agreed-foundation maintenance, applicable usage and separately approved new expert-delivered outcomes.
Vendor sources reviewed October 5, 2026. Capabilities and availability can change; confirm your edition, permissions and contracted scope.
Polyform’s operating model: the connected product, maintained business context, the weekly expert and current commercial terms.
Next step
Bring a question, report or recurring workflow. We’ll identify the smallest trustworthy result, what your current setup can own and whether Polyform fits.