Kanshi uses AI to filter fake and spam form submissions before they reach your CRM or inbox. See Kanshi's pricing, features, and how its decision layer works.
Researched and fact-checked by Bartu Cavusoglu · Updated August 7, 2026
Kanshi is an AI-powered lead decision layer that sits between website forms and the systems that depend on them, including CRMs, inboxes, databases, and automation workflows. Instead of relying on keyword-based spam filters, Kanshi evaluates the intent, context, and quality of each submission using AI, then returns one of three outcomes, allow, reject, or flag for review, each with a confidence score and a plain-language explanation. It works across contact forms, quote requests, appointment bookings, support tickets, reviews, and website comments, and integrates via a WordPress plugin, a developer API, and webhooks so rejected submissions never reach downstream business systems. Founded by Mahmoud (John) Khamis, a full-stack engineer with more than 25 years of experience and three issued USPTO patents in semantic and evidentiary AI, Kanshi is used by 2,300+ clients to cut down on the fake leads and busywork that traditional spam filters miss.
Key Features
AI Intent Decisioning — Evaluates the meaning, context, and quality of each form submission rather than matching keywords, returning an allow, reject, or flag outcome.
Confidence Scores & Reasoning — Every decision includes a confidence score and a plain-language explanation of why a submission was allowed, rejected, or flagged for review.
Real-Time Gating — Intercepts submissions before they reach CRMs, inboxes, or databases, evaluating them while still at the gate.
WordPress Plugin — Direct integration with WordPress sites via a dedicated plugin, no custom development required.
Developer API & Webhooks — POST-based developer API accepting submission type, business context, and content, plus webhook events for custom automation pipelines.
Multi-Channel Coverage — Works across contact forms, quote requests, appointment bookings, support tickets, registrations, reviews, and website comments.
Pros & Cons
Pros
Evaluates intent and context rather than just keyword patterns, catching spam that traditional filters miss
Every decision includes a confidence score and plain-language reasoning, not just a binary allow/block
10-day free trial with no credit card required makes it low-risk to test
Native WordPress plugin plus a developer API and webhooks for custom integrations
Founder brings 25+ years of engineering experience and holds patents in semantic/evidentiary AI
Cons
Only two pricing tiers, both metered by monthly check volume (225 or 475), which may not suit high-traffic sites
Character limits per submission (300 or 600 characters) could be restrictive for longer-form inquiries
No published enterprise or custom-volume tier for larger organizations
Small, relatively new company without large public case studies compared to established anti-spam vendors