Compliance AI, Built Around Your Risk Tolerance

Both, by design. Our legal engineers work alongside your team in the early stages to build the rules, grounded in the regulations your industry enforces, your internal playbooks, and your organization's appetite for risk. You don't start from a blank page, and you're not handed a generic template library either - the rules reflect how your business interprets the requirements. From there, every time your lawyers give feedback on the platform, it teaches Haast more about your standards, so our system keeps sharpening over time.

Accuracy comes from how Haast is built. Each compliance rule is handled by its own dedicated agent rather than one general-purpose agent stretched across everything, which means more consistent results and fewer false positives. Every flag also comes with its reasoning: which rule was applied, what triggered it, and why. And when your reviewers give feedback on a decision, the system learns from it - so it gets more accurate on your content the more you use it.

Because the rules are yours, not the model's. Haast applies the regulations and policies your team has configured - it doesn't make them up. The AI's job is to check content against those rules and explain its reasoning; the authority for what's right or wrong always comes from your configured standards, not the model's guesswork. And every flag is traceable back to the specific rule it came from, so you can always see exactly why something was raised.

Every customer-facing touchpoint carries compliance risk: promotional emails, catalogue and flyer content, eCommerce product listings, social media ads, point-of-sale displays, loyalty program communications, franchise and partner materials, and packaging claims replicated across digital channels. Organizations with franchise or distributor networks face further risk when third parties adapt branded materials without adequate oversight.

Franchisees, distributors, and retail partners frequently adapt or localize marketing materials for their own market. Those adaptations can introduce errors: outdated pricing, expired promotions, claims that no longer comply, or missing disclaimers. Without continuous monitoring of third-party content, breaches can persist undetected across the entire distribution network.

Yes, and this is why we take a rule-by-rule approach. You can run different rule sets and risk thresholds per product line, region, team, or campaign, so a single deployment can reflect the different obligations of different parts of your business. It's built for exactly the multi-entity complexity larger organisations deal with.

Content gets reviewed at the point it's created, inside the tools your teams already use, and risks are flagged instantly with suggested fixes. Content owners address what's raised and send the asset on; reviewers then approve it, add guidance, or give feedback on Haast's analysis. That feedback trains the system, so each cycle gets sharper. For live content, Haast keeps monitoring your assets and channels after publishing, flagging new risks as they appear. The whole loop runs inside your existing approval process rather than replacing it.

Yes, security is built for enterprise from the ground up. Haast is ISO 27001 certified and SOC 2 compliant. We understand the standards regulated enterprises are held to, and we hold ourselves to them. Your content is used only to run your compliance reviews and to improve accuracy on your own account - it is never used to train shared or third-party AI models.