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The client operates in influencer marketing, where sponsored content has become a primary advertising channel — and a growing regulatory risk. Brands, agencies and influencers must ensure every sponsored post complies with advertising regulations, such as disclosure requirements, and each platform's own guidelines. Until now that review was largely manual: slow, inconsistent, expensive and unable to scale with campaign volume, with compliance teams checking posts against lengthy rule documents and holding up campaign timelines.
Sponsored content review had to keep pace with campaign volume while staying consistent and defensible across every platform, country, and content format — text, image, and video alike.
Manual compliance review of sponsored posts was slow and didn't scale with campaign volume — every campaign queued behind a human bottleneck.
Review outcomes varied between reviewers, creating inconsistency across campaigns and real audit risk when decisions were questioned.
Rules change by platform and by country — Instagram is not YouTube — making manual cross-referencing of the right market's rules error-prone.
Images and video were rarely reviewed with the same rigour as text captions, and updating the compliance rulebook itself was a technical, manual process.
Soft Suave delivered PostGuard as a RAG-based compliance platform: compliance PDFs are ingested into a searchable knowledge base, and a two-phase AI pipeline — a reasoning step followed by a structured assessment — evaluates every post against the most relevant rules, returning consistent, explainable verdicts in seconds.
Every submitted post — text, images and video — is judged against the right platform's and country's rules, returning APPROVED, PLEDGE or REJECTED with a confidence score, cited violations and a full analysis breakdown.
A FAQ assistant answers compliance questions grounded in the knowledge base, Post Planner plans compliant posts with live web search, and All Rounder classifies each question and routes it to the right mode automatically.
Admins add, update or delete rules in free text; the system semantically matches the request against existing rules and generates a structured change proposal that takes effect only after explicit admin review and approval.
"Every sponsored post judged in seconds against the right market's rules — explainable, auditable and always under human control."
The platform integrates a two-phase AI analysis pipeline, semantic rule retrieval, and multimodal review into a unified system. These capabilities enable consistent, explainable compliance verdicts and governed rule management across every campaign.
PostGuard had to be more than accurate — it had to be defensible, replacing days-long manual review with an explainable, auditable AI-driven process that scales with campaign volume.
Faster document review reported for comparable GenAI review deployments
Operational cost reduction reported for automated compliance processes
AI review accuracy achieved in benchmark GenAI document-review programmes
Daily review throughput versus manual processing in benchmark automation deployments
PostGuard had to be more than accurate — it had to be defensible. Soft Suave engineered explainability and governance into every layer: verdicts grounded in retrieved rules with cited violations, a PLEDGE state and confidence scores routing uncertain cases to humans, rule changes and verdicts persisted for audit and dispute resolution, and an async-first architecture that keeps the core compliance check available even when optional services degrade — with per-request token tracking and model-level cost estimates keeping AI spend transparent.
Download this practical case study to learn how PostGuard automatically evaluates sponsored influencer content against an organisation's ingested compliance rulebook — returning a clear, cited verdict in seconds.