Executive Summary

Undiscovered assumptions routinely stall automation projects: RPA and automation Centers of Excellence in enterprise and midmarket firms waste months and budget because business rules are scattered across tickets, chat, SOPs and human behavior that aren’t validated before build. The typical buyer set — about 500,000 enterprise and midmarket accounts worldwide — already spends roughly $60K annually on process discovery and validation, which underpins a $30.0B addressable market. You could build a pre-automation audit platform that combines process mining, desktop and SaaS telemetry, and LLM-powered extraction from unstructured sources to flag implicit assumptions, produce test cases, score automation risk, and generate remediation playbooks and governance artifacts. The timing is favorable: RPA adoption is rising, observability telemetry is increasing, and advances in LLMs make practical the automated extraction of rules and intent; independent market diligence scores this opportunity 92/100 with revenue potential 88/100. This product can stand out by optimizing for assumption discovery and closed-loop validation rather than just drawing process maps — provide explainable, high-precision findings, turnkey integrations with leading RPA tools, and measurable KPIs (e.g., reduce rework on automation builds in pilots). Strengths are clear demand and an attractive $60K ACV motion, but challenges are real: medium competition from process-mining vendors and consultancies, enterprise data access and compliance hurdles, and the need to prove model accuracy and ROI in live deployments. I’d recommend running 5–10 paid pilots to validate a conservative 30–50% reduction in failed automations before scaling.

Market Opportunity

Undiscovered assumptions stall automation — audit processes before build (50–100 chars) targets a $30.0B = 500K potential enterprise+midmarket customers x $60K ACV (process discovery, process-mining, and validation spend) total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth in enterprise automation/process-mining adjacencies.

Key trends driving demand: RPA adoption growth -- organizations are automating more processes and need reliable discovery prior to build, increasing demand for pre-automation audits.; Advances in LLMs -- LLMs enable extraction of rules and business intent from unstructured sources (tickets, chat, SOPs), making automated assumption detection practical.; Process observability -- growing telemetry from SaaS/cloud apps and desktop instrumentation increases available signals for automated discovery.; Shift to outcomes & ROI measurement -- buyers demand proof-of-value and validated assumptions before large automation spend.; Verticalization of automation -- industry-specific templates and compliance needs favor specialized discovery tooling..

Key competitors include Celonis, UiPath (Process Mining / Task Mining), SAP Signavio, Big Four / Management Consultancies (e.g., Deloitte, Accenture) - workaround, Manual Workarounds (Excel, whiteboard workshops, screenshots).

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Undiscovered assumptions stall automation — audit processes before build (50–100 chars)

Executive Summary

Market Validation

Market Opportunity

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