Last update: April 21, 2025

BlueAlpha AI Guardrails

BlueAlpha's Strategy Agent is an AI-powered marketing measurement assistant that analyzes performance data inside a customer's workspace. This page describes how we build, deploy, and govern the Strategy Agent, and the commitments we make to our customers about how it operates.

Our AI governance is informed by the NIST AI Risk Management Framework and organized around five pillars: transparency, bias mitigation, human oversight, fairness, and accountability. A sixth section covers data handling.

1. Transparency

The Strategy Agent's outputs are clearly identified as AI-generated in the product interface. Every substantive claim the Agent makes is cited to its underlying source - whether that source is a customer's MMM results, platform data, an uploaded file, and/or (if enabled) internet research. When the Agent draws on external knowledge rather than customer data, it is instructed to label that content accordingly so users can distinguish between grounded findings and general context.

Where technically feasible, the Agent is instructed to surface the key factors driving a given recommendation, so customers understand not just what the Agent concluded but why.

2. Bias Mitigation

We test the Strategy Agent for systematic bias in its recommendations across channels, audience segments, and customer types. Where we identify material bias, we adjust prompting, retrieval, or model selection to mitigate it.

3. Human Oversight

The Strategy Agent is advisory, not autonomous. It surfaces findings, flags anomalies, and proposes actions, but humans make the decisions. The Agent does not automatically reallocate budget, pause campaigns, or execute trades on ad platforms. Customers review and approve any recommendation before it affects in-market spend.

4. Fairness

The Strategy Agent is designed to produce accurate, evidence-grounded analysis for every customer regardless of size, category, or geography. Our validation processes — source grounding, citation requirements, and testing against known marketing measurement ground truth - are applied uniformly. When the Agent cannot support a claim with a source, it is instructed to say so rather than guessing. When data is insufficient to draw a confident conclusion, it is instructed to report the uncertainty rather than presenting speculation as a finding.

5. Accountability

We maintain documentation covering the development, deployment, testing, and material modifications of the Strategy Agent. We conduct ongoing quality assurance testing, security assessments, and performance monitoring of the AI system. When testing or monitoring surfaces material issues, we take prompt steps to restore the system to expected performance.

Audit logging records Agent actions and data access events. We are responsive to customer inquiries about how the Agent works, what data it accessed to produce a given output, and what limitations apply.

6. Data Handling

Scoping and isolation. The Strategy Agent operates only within a customer's organization and workspace. It has access only to sources the customer has provided access to in the BlueAlpha platform - MMM results, test results, connected platform data, internet research, and files uploaded by the customer's users. Multiple access controls, including user membership and organization-level scoping, prevent cross-customer data access.

No model training on customer data. Customer prompts, outputs, and uploaded data are not used to train, test, or fine-tune BlueAlpha's AI models. BlueAlpha selects third-party AI providers (including foundation-model providers) under enterprise terms that contractually prohibit training on customer inputs and outputs.

Sensitive data handling. The Strategy Agent is not designed to ingest unmasked personally identifiable information or regulated data. Audit logs do not store raw customer questions in plaintext. Customers should anonymize or redact PII and regulated data before uploading it to the product, and should ensure that they comply with all internal regulations and best practices.

Bounded access. The Agent cannot access sources the customer has not enabled, is instructed to not expose BlueAlpha internal system details, and is instructed to not present unsupported inferences as if they were customer-sourced findings.

For questions about BlueAlpha's AI governance, or to request additional detail for a vendor assessment, contact us at contact@bluealpha.ai.