About
Autostep builds a desktop operational-intelligence platform for companies and knowledge-work teams. It maps how work happens, identifies repetitive tasks and bottlenecks, ranks them by dollar impact, and recommends process changes or custom AI agents; its differentiation is observing real work continuously rather than relying on interviews or integrations.
Market
Autostep competes in operational intelligence, task mining, process discovery, process mining, and AI workflow automation. Unlike traditional process-mining suites that generally analyze structured enterprise-system event data, Autostep installs across the desktop with no integrations, observes how work actually happens, prices tasks in real dollars, and recommends or builds agents and process changes in existing tools. Its distinctive positioning is as an AI ROI and work-intelligence layer: it connects workflow discovery to remediation and measures the capacity or cost impact against a baseline.
Autostep targets companies with distributed knowledge-work operations and repetitive, high-cost administrative processes, ranging from small teams—including a cited 10-person example—to larger organizations. Its primary buyers are COOs, CFOs, operations leaders, and founders who need to identify workflow waste, prioritize automation, and prove AI ROI.
At a Glance
Problem
Companies want to deploy AI agents but usually lack a systematic way to identify which workflows are worth automating. Their operational data is fragmented across employees’ desktop activity, so automation initiatives become shots in the dark: leaders cannot easily see repetitive work, bottlenecks, administrative loops, or whether an AI investment actually returned capacity or money. The main use case is helping a COO, CFO, operations leader, or founder find the highest-cost repetitive work and prove whether an AI or process change paid off. Autostep says even the smallest team it has worked with uncovered more than $100,000 in operational waste across 10 people.
Product / Service
Autostep is a desktop-based operational-intelligence platform. A desktop app is installed across the organization without requiring interviews or integrations; it maps how work actually happens, identifies repetitive tasks and bottlenecks, and prices them in real dollars. Tasks are ranked by cost and impact, giving management a data-driven view of where time and capacity are being lost.
From there, Autostep recommends or delivers the appropriate fix: a custom AI agent, a process change, workflow standardization, reassignment, or software the company already uses. Its platform can generate agents, prompts, templates, vendor recommendations, MCPs, and workflow automations inside existing tools, then measure results against a baseline. The intended benefit is a continuously updated, queryable record of company operations and a rational way to improve human and agent ROI.
Market
Autostep competes in the emerging operational-intelligence market for AI adoption, adjacent to task mining, process mining, workflow automation, and AI-ROI measurement. Its closest established substitutes are UiPath Task Mining, Celonis’s process- and task-mining platform, and Microsoft Power Automate Process Mining. Those products generally focus on analyzing desktop activity or system event data to discover process-improvement opportunities; Autostep positions itself around no-integration discovery, dollar-based prioritization, and carrying the workflow through to the right agent, process change, or software recommendation.
The company is an early-stage entrant rather than a scaled software vendor. YC lists it as founded in 2025, part of the Spring 2026 batch, active, and operating with a two-person San Francisco team; Autostep also says it is already working with companies and is raising capital. Public evidence does not disclose revenue or a customer count, although a PitchBook listing reports $1.1 million raised. The available evidence therefore supports early commercial validation, but not a definitive claim that the company is revenue-generating or fully pre-revenue.
Founders & Leadership
Funding History
Y Combinator
Recent News
Y Combinator highlighted Autostep as a tool that finds repetitive work inside companies and helps teams fix it. The post says Autostep context-mines work across emails, decks, and reports.
A third-party overview of Y Combinator’s P26 batch lists Autostep as a U.S. company with the one-line description “AI for finding repetitive work.” It describes the product as uncovering repetitive desktop work, pricing its hidden cost, and ranking tasks by impact.
Autostep published a product video presenting its YC- and Neo-associated offering for uncovering repetitive tasks ready for AI. The video is linked from Autostep’s official Y Combinator launch post.
In its official Y Combinator launch, Autostep introduced a desktop app that installs across an organization to surface repetitive, high-cost tasks. It ranks tasks by cost and impact to identify worthwhile automation, process changes, or existing tools.
The Y Combinator Spring 2026 batch listing includes Autostep among its portfolio companies, describing it as a product that uncovers repetitive tasks and automates them with AI. The page also describes Y Combinator’s standard seed-funding program, but does not confirm an Autostep-specific amount.
Active Roles
2Business Model
Autostep appears to use a sales-led B2B software model: organizations install its desktop application across their teams and engage through a demo. Exact pricing, billing metric, and subscription terms are not publicly disclosed in the available sources.