Baseline-first automation: capture, measure, then automate (50-100 chars)

Executive Summary

Organizations from SMBs to large enterprises routinely try to automate processes without a reliable baseline, which leads to rework, hidden exceptions, and overpromised savings; procurement and finance teams increasingly reject projects lacking measurable pre- and post-automation metrics. The pain is widespread across an addressable population of roughly 25 million companies that buy process automation, integrations, and governance tools. You could build a baseline-first platform that first captures telemetry and user interactions (process mining/observability), produces objective KPIs and an ROI model, and then uses LLM-driven low-code synthesis to generate executable automation blueprints with built-in governance and audit trails. Priced and packaged to target $2,000 ACV customers across SMB, mid-market, and enterprise segments, the model maps to a $50.0B TAM; market dynamics—LLMs lowering discovery cost and the maturing convergence of process mining and observability—make the timing favorable now. To stand out, the product must emphasize objective baselining, automated ROI calculation, immutable audit trails, and native integrations so buyers (including CFOs) can validate savings before committing; those features also align with growing procurement scrutiny. Realistic challenges include instrumentation and data-quality work, regulatory and privacy constraints, and longer enterprise sales cycles, so an early go-to-market should prioritize measurable pilots and vertical use cases to prove value.