Auctor

Auctor is an AI system for software implementation teams. It captures sales calls, turns them into scoped deliverables, carries that context into delivery and flags scope creep, connecting to CRM, meeting and storage tools.

Auctor is an AI-native platform built for the teams that implement business software: services firms, consultancies and system integrators. It treats an implementation as one continuous project, from the first sales conversation through scoping, handoff, delivery and later phases, and keeps the record of that project in a single shared place instead of scattered documents and individual memory. In pre-sales, Auctor transcribes calls as they happen, pulls in context from earlier projects and nudges the conversation toward the topics that matter. Calls, messages and internal best practices are then converted into structured, editable deliverables such as scopes and estimates. The company's own standards and templates are built into those outputs, so customers receive consistent material regardless of who ran the discovery. After the sale, the artifacts created during scoping carry over into delivery, each linked to what was decided, who decided it and the reasoning behind it. As work proceeds, Auctor flags new conflicts that surface mid-build and shows what changed and whether it falls inside the agreed scope, which gives teams an early warning on scope creep. It can also generate new outputs from existing ones, so stories, flows and specifications remain aligned with each other. The product connects to tools such as Gong, Salesforce, HubSpot, OneDrive and SharePoint, Google Drive, Outlook, Teams, Slack and Google Meet, and keeps them in sync with the project record. Customers listed on the site include OneStream, ServiceRocket, Valiantys, Ravus and NTT DATA, and investors include Sequoia and Y Combinator. Compared with generic note takers or general project trackers, Auctor is narrower and more opinionated: it targets implementation work specifically, such as CPQ, billing and ERP-style rollouts. Buyers evaluating it should expect a sales-led, demo-first process aimed at professional services organizations, not a self-serve tool for individual users.