AI-Assisted Business Decision Support

Bidvanta

Better context for consequential campaign decisions.

In development
Concept illustration

The project

Project overview

Bidvanta is an application in development for Apple Ads campaign analysis. It combines campaign evidence with AI-assisted explanations and recommendations, while retaining explicit validation and human review around consequential changes.

Problem or objective

Campaign decisions require interpreting evidence and weighing possible actions against business rules. An explanation can be helpful without being sufficient authority to make a change. The objective is to support judgment while preserving that distinction.

Solution approach

I am developing a workflow that brings campaign analysis, AI-assisted interpretation, deterministic policy checks, and human review together. The design keeps the recommendation stage separate from the decision to act.

Key capabilities

  • Apple Ads campaign analysis
  • AI-assisted explanations and recommendations
  • Deterministic policy validation
  • Human review before consequential changes

Architecture & technical elements

The work uses Swift and TypeScript. Its core design separates campaign evidence, generated recommendations, deterministic policy validation, and human review, creating explicit boundaries between interpretation and action.

  • Swift
  • TypeScript
  • Apple Ads
  • AI-assisted analysis
  • Policy validation

What the work demonstrates

Designing AI-enabled decision support around business constraints, evidence, and accountability. The emphasis is on making recommendations reviewable rather than treating generated output as a decision.

Current product status

In development

In development. Work is ongoing across campaign analysis, recommendation review, and policy validation. Bidvanta is not yet a commercial release.

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A conversation is a good place to start

Let's Solve Something
Worth Solving.

Whether you're a business looking to improve operations or an organization seeking someone who combines business insight with hands-on technical execution, I'd welcome a conversation.