AI Challenges & Guardrails
AI Can Confidently Optimise Bad Product Data. We Protect Quality & Control.
AI Hallucinations, Complexity, and Risk
AI can move faster than any team – but without verification, it amplifies errors, misreads context, and can quietly damage performance. Our guardrails ensure AI output is checked, governed, and always aligned to brand, data policy and commercial strategy.
In performance marketing, speed without guardrails isn’t progress, it’s risk.
Common AI Failure Modes
AI fails to drive maximum value because it lacks human context, leading to high-risk errors:
Misinterpretation: AI pulls the wrong details from PDPs or catalogues, leading to incorrect sizes, colours, or prices in ads.
Automation drift: Rules or prompts no longer apply properly to new products.
Coverage gaps: AI quietly ignores edge cases (long-tail SKUs, niche categories, new launches), leaving revenue on the table.
Policy & data risk: Small hallucinations in copy or data can trigger disapprovals, policy violations, or compliance issues at scale.
Why Our Experts Still Matter
AI isn’t accountable - people are. FeedSpark experts stay in the loop to:
Protect brand: Make sure AI never improvises tone, claims or messaging that don’t fit your brand.
Protect spend: Catch optimisation decisions that look “logical” to a model but are commercially damaging in the real world.
Protect compliance: Interpret platform rules and data policies in context, not just at a field level.
How We Avoid the Traps
Every optimisation runs through our 3D model - AI + Rules + Experts, ensuring optimisation is governed, monitored and on brand before they hit your channels.
Structured reasoning: AI doesn’t make one big guess. It works through data changes step-by-step, so each stage can be checked before it’s applied.
Algorithmic checkpoints: Code-based checks validate every suggestion against schemas, business rules and platform policies. If it fails, it’s blocked or flagged.
Verified inputs: We validate and enrich data in FeedHero before AI touches it, so the model is always working from a clean, consistent product record.
Expert QC on high-impact changes: Our team signs off on changes, making sure output still aligns with brand, margin and stock reality.
Fail-safes: Clear rollback options and monitoring, so if something goes wrong, we can reverse it fast.
The detailed workflow sits in our AI-Driven Optimisation Methodology, where we break down our full 3D (AI + Rules + Experts) model.
See Our Roadmap. Future-Proof Your Data Strategy.
Just some of our work…..
Supercharge your channel results with a feed management and optimisation partner that meets you where you are - and takes you further.