Recognised revenue
Orders, refunds, tax and discounts
Aurelia is where marketing-spend decisions are made, approved and learned from. It turns competing commercial evidence into a governed, approval-ready budget proposal—then keeps the decision, approval and observed result together.




Your store, your ad platforms and your finance model each report a different number for the same month. So the budget call gets made on whoever argues hardest—and when the board asks whether last quarter’s spend actually worked, no one can answer with evidence.
Orders, refunds, tax and discounts
Overlapping claims for the same sale
What the business actually kept
Which budget move creates incremental contribution—not just another attribution claim?
This is the product: one material move made reviewable from the evidence through to its observed result.
A live decision record in the workspace: the evidence available at the time, the recommendation, who approved it, and the reported outcome against expectation—with causal limits kept visible.
The objection a finance-minded owner asks first: “what stops an AI moving my money?” The answer is the architecture—not a promise.
Every material move stays a proposal until the accountable person has reviewed and approved it. Aurelia does not change advertising accounts.
Source data, assumptions and measurement method stay attached to the proposal, so the decision can be challenged before it is approved.
The proposer, approver, guardrails and later observed result stay together in one reviewable record.
Channel limits, margin thresholds and other finance rules are visible before the proposal reaches an approver.
Governed definitions, mixed measurement and secure integrations make a decision more defensible. They are supporting proof—not a substitute for a commercial call your team can approve.
Revenue, CAC, MER and margin carry an approved definition, owner, source lineage, freshness and version—wherever they are used.
Platform reporting, MMM, response curves, holdouts and cohort value stay distinct but comparable. Aurelia picks the right evidence for the decision.
Typed semantic tools and MCP expose the same business logic to Aurelia Auto, your own model and the AI clients your team already prefers.
The recommendation, evidence, guardrails, reviewer, implementation and outcome survive the chat—every future decision starts from a better place.
Use the scenario to see the value of reallocating even a small share of paid-media spend. The beta then replaces the assumption with governed evidence from your own commercial and media data.
Run one live budget decisionStart with a decision review, then scope the evidence and support around the move that matters.
Scenario only—not a forecast. Aurelia measures whether any spend is genuinely movable using your contribution economics and incremental evidence.
A guided 30-day decision cycle to assemble the evidence, review one real paid-media move and keep the approval and observed result together. Your completed cycle becomes a practical operating pattern for the next one.
A guided outcome, scoped around your decision—not seats
Best fit: teams with a recurring, material paid-media allocation decision and an accountable commercial or finance reviewer.
“A number without a definition is a guess. A recommendation without evidence is an opinion. A decision without an outcome teaches you nothing.”
We are taking a small cohort of growth and finance teams as design partners. Their completed decision cycles will become practical proof of the category.
No. Aurelia is proposal-only. It drafts a guardrailed budget move and waits for a person to approve it—it never calls Meta, Google or any advertising API, and it cannot move spend, execute or roll back. You stay in control of every change.
No. The first decision cycle is guided. We begin with the recurring move your team needs to make, agree the evidence needed, and work with you to assemble an approval-ready proposal.
Connected credentials are encrypted at rest (AES-256-GCM) and used only to read the sources you connect. The platform is hosted in the UK (London). Bring your own AI model and your key stays masked—never exposed to the client or to us.
Dashboards show what happened. Aurelia is where marketing-spend decisions are made, approved and learned from: it turns competing commercial evidence into a finance-ready proposal, then keeps the decision and observed result together.
No. Aurelia starts with the commercial and paid-media evidence you already rely on. Technical integrations and AI tooling are supporting capabilities, not a prerequisite for the first guided decision cycle.
Budget allocation: which channels deserve the next pound, which claims are only reported attribution, what guardrails apply, who approved the move, and whether the expected outcome materialised.
Guided review · one material paid-media decision · approval and outcome kept together