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Reuse, don't rebuild.
Your organization has spent years defining its business — in ERP, CRM, operational systems, and the semantic layers you already govern: dbt, LookML, Snowflake Semantic Models, Microsoft Fabric, Cube. Boss Loops is not another semantic layer. It is the Decision Governance Layer: it consumes those definitions as governed evidence and models the one thing no other system captures — the decision itself.
Model everything again
ERP · CRM · warehouse · semantic layer · operational systemsNew enterprise decision modelDecisionA second definition of your business — to populate, own, and maintain.
Reuse what exists
ERP · CRM · dbt · LookML · Snowflake Semantic Models · Fabric · Cube — semantics stay in placeDecision context — evidence from existing definitionsDecision Record — references back to every sourceOne approach rebuilds. One references.
Not another semantic layer.
The common approach centralizes your operational data into a new, enterprise-wide decision model — another semantic layer to populate, own, and maintain. It's a real answer to data fragmentation, but the cost is a modeling project measured in quarters, and a definition of your business that now lives in two places.
Boss Loops starts from the opposite premise: the trusted business semantics already exist. Available Budget. Customer Health. Gross Margin. Inventory Position. Revenue. Vendor Risk. Policy Compliance. Your organization has already defined them — in dbt models, LookML, Snowflake Semantic Models, Fabric, Cube, and the master data of your ERP and CRM. Boss Loops references those definitions as governed evidence, whoever authors them — today's semantic providers or the next one. It doesn't recreate them, and it doesn't compete with the layer that owns them.
Boss Loops is the Decision Governance Layer. The only thing it models is the one thing no other system captures: the decision itself.
Governed evidence, from the semantics you already trust
Every piece of evidence in a Boss Loops decision comes straight from its source system — the metric's governed definition, its value, and its freshness, captured at the moment the decision was made. Not a screenshot. Not a copy. The definition your data team already certified — whether it lives in dbt, LookML, a Snowflake Semantic Model, Fabric, or Cube, referenced through one contract that any semantic provider can satisfy.
Screenshot — Multiple systems, one decision
We don't duplicate your systems. We reference them.
A Decision Record doesn't copy your ERP or your warehouse — it points to them. The invoice stays in SAP. The metric stays in Snowflake. Boss Loops links to each source and adds the one layer they were never built to hold: why the decision was made.
Every participant lands on the same attribution model, whoever they are: the humans who judged and approved, the AI assistant that recommended, the autonomous agent that acted within policy, and the enterprise systems that supplied the evidence. One record, one consistent account of who did what — no special case for AI.
Screenshot — The Decision Record
The ERP remains the system of record for the invoice. Boss Loops becomes the system of record for the decision to pay it — who decided, on what evidence, under which policy, and whether it worked.
And record by record, those decisions accumulate into something no enterprise system has held before: Decision Memory — a queryable history of how your organization actually decides. Enterprise systems remember transactions. Boss Loops remembers decisions.
The overlay architecture
Most decision platforms integrate vertically — building their own analytics pane or their own enterprise data model on top of your warehouse, and displacing something you already run to do it. Boss Loops takes the seat none of them occupy, and composes with all of them. Your semantic layer — LookML, dbt, Snowflake Semantic Models, Fabric — keeps semantic authority. Snowflake keeps compute, storage, and secure ERP ingestion. Your automation platforms and applications keep execution. The overlay adds the one object none of them persist — the decision commit and its record — and reads from all of them while displacing none of them.
The contract is deliberately asymmetric. Boss Loops reads enterprise data, enterprise semantics, policies, identity, and AI recommendations. It writes exactly one new kind of object: the Decision Record. Execution — the ERP writeback, the payment run, the Workato recipe, the Temporal workflow, the Slack confirmation — continues on rails you already own, after the loop commits.
Boss Loops — Governed Decision Intelligence overlay
Govern the commit. Delegate the execution.Reads enterprise data, semantics, policies, identity, and AI recommendations — frozen at capture, qualification inherited from the source. Writes exactly one new object: the Decision Record. Nothing else of yours is rewritten.
Semantic layer (e.g. Google Looker)
Read- LookML semantic layer — your governed definitions
- Immutable financial KPIs as qualified evidence
- Stays your read-only system of definitions; “Open in Looker” remains the live surface
- Same contract for dbt, Snowflake Semantic Models, Fabric, Cube — and any future semantic provider
Snowflake Native Apps
Read- Secure ERP ingestion (NetSuite, SAP)
- Heavy Python / Snowpark compute
- Derived facts become evidence — with lineage
Execution rails
Write · post-commit- ERP writeback, payment runs, CRM updates
- Workato / Temporal / n8n pipelines; Slack & Teams delivery
- Run only after the loop commits — on rails you already own
Consolidated Snowflake Cloud Data Platform
The flywheel: Decision Records land back in the warehouse as first-class data — Looker dashboards your decisions (cycle time, automation rate, override outcomes). Our output becomes their input.
End to end: a Native App ingests the NetSuite invoice and a threshold opens the loop → the Looker KPI and Snowflake semantic view attach as frozen, qualified evidence → guards evaluate policy and the approval is captured on the record → execution is delegated to your existing rails → the outcome is measured from the same warehouse — and the Decision Record itself lands back in Snowflake as data your BI can analyze. That last arrow is the one vertically-integrated platforms can't draw: our output becomes their input.
A different question
Data platforms answer “is the data trustworthy?”
Automation platforms answer “what should execute?”
Boss Loops answers “was this consequential decision trustworthy, explainable, and reusable?”
Three different questions, three different layers of the architecture. The first two are already well served — Boss Loops composes with the platforms that answer them, and occupies the layer that answers the third. It's the only one of the three that survives an audit a year later.
Start where you are
Because Boss Loops reuses the semantics already in your systems, it fits the maturity you actually have:
- Enterprise — reuse years of semantic investment (LookML, dbt, Snowflake Semantic Models, SAP objects, Fabric models, Cube) instead of rebuilding it. Protect the work, skip the migration.
- Mid-market — governed, defensible decisions without a six-month data-modeling project.
- And it scales down — even without a semantic layer, Boss Loops starts from the metadata already in the operational tools you run.
One platform. No ontology project. Roll out one decision at a time — every record adds to your Decision Memory, and every decision you record makes the next one better.
Amplify what you've already built.
Most platforms ask you to recreate your business to govern it. Boss Loops composes with the platforms you already run — the warehouse, the semantic layer, the automation rails — and compounds the investment you've already made: decisions you can defend, accumulating into a Decision Memory your organization keeps.