You already have the stack. What is still missing?
A warehouse. A semantic layer. A catalog. Search or RAG. An AI agent that can reach all of them. Each of those is valuable, and Propperly does not ask you to replace any of them.
The gap they leave is the same one every analytics team lives with: the conclusions and decisions change over time, and they live across those systems rather than inside any one of them.
Propperly maintains what your analytics organization has actually concluded — what is current, what it superseded and why, where sources conflict, and what is still unresolved — so your agent doesn't confidently repeat a decision you already changed.
Complementary to your stack. No platform migration to understand where it fits.
What your organization has concluded — and still stands behind — for a defined scope.
Each system governs a different object.
The systems you already run each focus on a different object. Propperly works alongside them, maintaining the evolving analytical conclusions and decisions that span those systems.
These are primary roles, not walls — some systems hold a little of a neighbour's object. Propperly focuses on maintaining the analytical conclusion as it changes across the stack.
A definition changed. Who knows what now?
A single, ordinary analytics decision — the kind that happens somewhere in your organization every week.
- A 30-day active-customer window was the working definition.metric doc · jan 12
- A new analysis challenged it.analysis · apr 28
- A person decided to move product reporting to a 28-day window.decision · may 04 · approved
- The 30-day definition is now superseded — but only for that scope.supersedes · reporting scope
- Three dashboards still calculate the old way.conflict · not yet propagated
- Whether to restate history is still unresolved.open · owner: analytics
- WarehouseThe rows behind both windows.
- Semantic layerHow
active_customeris currently computed. - CatalogOwners, lineage and metadata for the tables.
- Search / RAGDocuments that mention
active_customer. - AgentCan retrieve and reason over all of the above.
- Which definition governs which scope now.
- What it replaced, and that the old one still holds elsewhere.
- Why it changed — the evidence and the decision behind it.
- What hasn't propagated yet (the three dashboards).
- What remains unresolved (the historical restatement).
- Who approved the change, as reviewed state — not an inference.
Conflict and unresolved are states, not errors.
Propperly represents a conclusion in whichever of four states it is actually in. Conflict and unresolved are first-class states the agent can see — not failures to hide, and not things Propperly silently resolves on its own.
Current
What the organization currently stands behind for the defined scope — the conclusion an agent should rely on now.
Superseded
What used to govern, what replaced it, why it changed, and where the old state may still legitimately apply.
Conflict
Multiple reasonable sources or interpretations still disagree — kept visible, not collapsed into a single winner by default.
Unresolved
The organization has not yet made a supported decision. The honest state is "open" — and the agent is told so, rather than guessing.
Each state carries its supporting evidence and, where relevant, the human decision and the scope it applies to.
Establishing this reviewed current-state for one bounded analytics domain — before any large integration — is exactly what the Agent Readiness Sprint does, from work your team already has.
The same question, across categories.
Not a feature scoreboard. Each row is an object; each cell is that category's primaryrelationship to it. Where a neighbour partly overlaps, this shows it.
| Object | Warehouse | Semantic layer | Catalog | Search / RAG | Propperly |
|---|---|---|---|---|---|
| Primary governed object | The data | Metric definitions | Metadata & policy | Findable content | Analytical conclusions |
| Retrieves the underlying evidence | Primary purpose | Not primary object | Can support | Primary purpose | Links evidence to each conclusion |
| Defines metric semantics | Not primary object | Primary purpose | Can support | Not primary object | Defers to your semantic layer |
| Data & metadata governance | Partial | Can support | Primary purpose | Not primary object | Defers to your catalog |
| Evolving analytical conclusions | Not primary object | Not primary object | Not primary object | Not primary object | Propperly focus |
| Current vs superseded, with why & scope | Latest overwrites | Partial — deprecation | Partial — lifecycle | Not primary object | Kept, with why + scope |
| Conflict & unresolved as durable state | Not primary object | Resolved by construction | Partial — open issues | Not primary object | First-class state |
| Human-reviewed revision as maintained state | Not primary object | Partial — in code | Partial — certifies the asset | Not primary object | The decision is the object |
Each cell describes where a category's authority primarily lives, not a limit on what it can do — "partial" and "not primary object" don't mean a tool can't support the capability. Propperly is additive above the systems you keep; it doesn't claim to beat search or RAG on retrieval accuracy — it changes what the agent is told currently governs.
Bring your agent. Keep your stack.
Propperly is additive. It fits around the systems you already run, and it doesn't require you to swap any of them out.
We describe how Propperly fits alongside these systems; it doesn't claim a pre-built connector into every one of them.
Analytics is where conclusions pile up.
Analytics teams accumulate exactly the kind of work this object is made of — years of it, spread across tools and people. An agent can often retrieve the artifacts; it still needs to know what currently governs.
See the Analytics solution — or start with one domain.
The Analytics solution holds the engagements, deliverables and evidence. A bounded reconstruction lets a team test the approach on one domain before a larger integration.
Read the research behind reliable AI analytics →