From Fragmented Discovery to Continuous Context
Auctor raises $20M led by Sequoia Capital
As Ravus scaled, so has the complexity of their delivery model. CPQ and billing implementations require deep discovery, detailed requirements, and coordination across multiple systems and stakeholders. Before adopting Auctor, much of this work was manual and fragmented. Teams relied on shared documents, spreadsheets, and disconnected tools to capture notes, write requirements, and produce design artifacts. This often meant late nights synthesizing discovery, heavy dependence on multiple roles, and increased risk of missing critical context.
Discovery sessions at Ravus generate large volumes of information across stakeholders, systems, and product lines. Previously, this required manual note-taking, consolidation, and post-session synthesis.
With Auctor, that process is continuous.
Instead of reconstructing context after the fact, Ravus captures, structures, and generates outputs in real time. Current state evaluations, summaries, and key decisions are produced as discovery progresses, eliminating delays between learning and delivery.
Writing requirements was historically one of the most time-intensive parts of delivery. Teams manually translated discovery into user stories, acceptance criteria, and technical documentation.
With Auctor, Ravus trains the system on their internal standards and generates requirements automatically.
“I wanted acceptance criteria written the way I would train a new consultant,” Bailey said. “You don’t have to spend hours writing requirements anymore. It’s amazing.”
Ravus operates with lean teams, where consultants routinely wear multiple hats. Without the right support, that meant either spreading people thin or hiring additional project managers and business analysts.
Auctor enables a different model.
Consultants can now operate across roles, supported by a system that helps generate plans, synthesize discovery, and produce deliverables.
“There’s no way I would have been able to do that if it were me and a spreadsheet or Word,” Bailey said.
This allows Ravus to deliver complex projects with fewer people while maintaining quality.
One of the biggest challenges in consulting is the gap between sales and delivery. Traditionally, handoffs relied on limited notes and high-level summaries.
With Auctor, Ravus captures full pre-sales context and generates structured handoff documents.
“It’s not one or two sentences anymore. It’s a document describing exactly where their pain points are,” Bailey said.
Delivery teams start with a complete understanding of the customer, reducing ramp time and improving outcomes.
Auctor integrates directly into Ravus’ existing stack, including Microsoft tools, Confluence, and Jira.
“It fits into our tech stack seamlessly,” Bailey said.
With Auctor embedded across their workflow, Ravus has fundamentally changed how delivery operates:
Customers have responded positively, noting improved clarity, structure, and responsiveness. In some cases, the speed and completeness of outputs directly increased trust during early phases of the engagement.
Today, Auctor is embedded across Ravus’ delivery lifecycle, from pre-sales through project completion.
“It has changed the cadence and the process that we use to work with our clients,” Bailey said.
By consolidating context, automating core workflows, and enabling teams to operate with greater leverage, Ravus is able to deliver faster, more consistent implementations without increasing headcount.
