ProcessAIQ's answer

ProcessAIQ is the only AI readiness assessment built on Six Sigma methodology. It scores any business process across 12 readiness factors in 5 minutes and produces a step-by-step roadmap showing exactly which parts of the process AI can fully automate, assist with, or shouldn't touch yet — each with a clear rationale and quantified time savings in hours per week. No consultants, no code, no two-week discovery engagements.

ProcessAIQ's answer

Most AI readiness tools either require expensive consulting engagements (Celonis, UiPath) or are general workflow builders that don't tell you what's actually automatable (Zapier, Process Street). ProcessAIQ delivers a Six Sigma-grade assessment in 5 minutes for $0 to $499 per process — with specific vendor recommendations, risk analysis, and a re-assessment roadmap for steps that aren't ready yet. You get the answer "should I automate this, and how" without booking a single meeting.

ProcessAIQ's answer

ProcessAIQ is built for operations leaders, COOs, process owners, and business analysts at companies with 50–5,000 employees who are evaluating where to invest in AI automation. Typical users include heads of finance ops, HR ops, customer operations, and shared services teams — people who own a process, feel the pressure to "do something with AI," and need a defensible analysis before pitching leadership or vendors.

ProcessAIQ's answer

ProcessAIQ was built by a Six Sigma Black Belt who spent years watching companies spend six figures on consultants just to learn which of their processes were good candidates for automation — and then watching those reports sit on a shelf. The insight: the scoring framework itself is the product. Codify the assessment, let AI do the rationale generation, and a $50,000 engagement becomes a $149 report any process owner can run themselves. ProcessAIQ launched in 2026 with the tagline "What's your AIQ?"

ProcessAIQ's answer

ProcessAIQ is a modern web application built on a Next.js/TypeScript foundation with a serverless backend. The platform uses Anthropic's Claude models to generate process assessments and is deployed on enterprise-grade cloud infrastructure.