PredictIQ designs AI systems to be explainable, human-governed, auditable and connected to business policy — especially when decisions affect operations, finance, quality or customers.
Business data, operating signals, visitor and role context.
Public knowledge base, product FAQs, ROI policy — no client data.
PCM & OmniGovern-like policy, thresholds and approvals.
People accept, adjust or reject — human-in-the-loop by design.
Decisions, approvals and overrides are traceable and logged.
High-impact operating and commercial decisions stay human-in-the-loop. AI recommends; accountable people decide.
Recommendations are governed through PCM and OmniGovern-like guardrails — business policy, thresholds and approvals.
Explainability for recommendations, exceptions and override paths — so teams know why, and can act with confidence.
No confidential client proof or client data is used in the public website AI Advisor — approved public content only.
Privacy and consent-led handling of visitor-provided information, in line with our Privacy Policy.
These principles support CIO, compliance, investor and cloud-programme review of how PredictIQ builds and governs AI.
The launch Advisor uses guided routing and approved content. The future LLM/RAG Advisor will be grounded in an approved public knowledge base, product FAQs, ROI policy and commercial guardrails.
In-product assistants are tenant-aware and role-aware. They can explain, recommend and draft — but governed actions follow user permission, policy and audit controls.
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See the products, talk to our team, or ask the AI Advisor how PredictIQ governs AI.