A recommendation with context
Review opportunities across creative, allocation, measurement, the funnel and AI visibility. See the evidence, risk and proposed action beside the recommendation.
From evidence to a decision you can own.
Mosaic connects a shared knowledge base with multiple AI models, creative intelligence and measured results. Recommendations bring the reasoning and proposed next step together, with approval and execution boundaries in view.
Recommendation to action
Control stays in view- 1
Evidence
Review the source and comparison
- 2
Recommendation
Understand the reason and risk
- 3
Decision
Approve, decline or use authorized limits
- 4
Activation
Check connector and permission requirements
A specific creative test
Prism watches creative and connects its choices with observed results. Review the hook, message, format and next variation while keeping association distinct from causation.
Approval before action
Review, approve or decline recommendations. Budget planning keeps proposed changes and a committed plan distinct, so pacing has a clear baseline.
Defined boundaries for agents
Use human approval or authorized dollar and percentage pacing ranges. Execution depends on enabled connectors, account permissions and the action being supported.
A plan the team can use
Compare saved budget plans, review seasonal flighting and export a change list for activation. Directional forecasts retain their measured inputs and assumptions.
Keep the team informed
Review pacing alerts and recommendation reports. Report delivery can follow an approved recommendation, with recipients and scheduling configured in the platform.
Ask a question. Get the connected picture.
Ask AI works with Mosaic’s data and shared knowledge base. Bring performance, creative and planning into one conversation, with context that helps your team decide what to do next.
Ask Mosaic
Where should we focus this week?
Review pacing, measurement alerts and creative fatigue together. Start with the gaps that could change your decision, then compare the next creative tests and allocation options.
Pacing · Alerts · PrismThe next move, with the reasoning attached.
Specialist models, Prism and measured results work through an orchestrated decision layer. The knowledge base gives recommendations business context; the evidence gives your team something concrete to assess.
Your contextGoals · History · Knowledge base
The evidencePerformance · Creative · Benchmarks
The recommendationReason · Risk · Proposed action
The learningTeam feedback · Model quality
Let agents work within your rules.
Choose human review or autonomous action inside authorized dollar and percentage pacing ranges. Permissions, connected accounts and supported actions define where the plan can execute.
Your team reviews the proposed move.
Proposed changeEvidence and expected direction
DecisionApprove or decline
ExecutionConnected, permitted actions
Plan → Decision → Authorized action → Pacing review
Keep the learning loop open.
Review anomalies, slow trends and the quality of the models behind recommendations. Team feedback and decision history add a human check; approved recommendations keep reports focused on the work that matters.
SignalsBaseline, severity and likely cause
Model qualityEvaluation, uncertainty and feedback
ReportsApproved recommendations and configured delivery
A few useful distinctions.
Can agents change a live account immediately?
Live execution requires an enabled connector, suitable permissions and configured approval or guardrails. A recommendation or exported change list alone does not change a media account.
Are forecasts or creative scores guaranteed results?
No. Planning forecasts depend on inputs, assumptions and constraints. Prism scores compare creative in context; they do not predict revenue or prove that a creative choice caused a result.
Keep the whole picture connected.
See Mosaic in action.
Email us about your business, the channels you use and the questions you want to answer. We will arrange a walkthrough of Mosaic’s reports, creative insights and recommendations.
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