Brand Sutra – AI Brand Governance Platform

The Problem

Growing organisations publish content through multiple employees, agencies, freelancers, and AI tools. This often leads to inconsistent brand messaging, incorrect claims, off-brand visuals, and communication that doesn't follow approved guidelines. Manually reviewing every piece of content is time-consuming and difficult to scale. Brand Sutra aims to solve this problem by providing an intelligent review system that checks content against a company's brand guidelines, approved messaging, terminology, and factual references before publication.

The Solution & Approach

• Establish Brand Guidelines: Create a centralised brand profile containing tone of voice, approved terminology, messaging rules, visual guidelines, and restricted claims.
• Submit Content for Review: Allow marketing teams to submit AI-generated or human-written content for automated brand compliance checks.
• Run AI-Powered Compliance Checks: Analyse tone, terminology, messaging consistency, factual claims, accessibility, and adherence to brand guidelines.
• Generate Findings and Recommendations: Highlight violations, explain why they matter, and suggest corrections that align with the approved brand identity.
• Enable Review and Approval: Provide a structured workflow for reviewing flagged content, applying corrections, and approving content before publication.

System Architecture

Tech Stack

Impact & Results

What I Learned

This project explores how AI can be used to solve a practical business problem beyond content generation. It highlights the importance of grounding LLM outputs in approved references, combining probabilistic AI analysis with deterministic rules, and keeping humans involved in high-impact approval decisions. It also provides an opportunity to apply product thinking through workflow design, defining compliance criteria, evaluating model outputs, and balancing automation with reliability and trust.