"Half of enterprise software projects fail to meet their deadlines, and one in six exceeds budget by more than 200%. The root cause is not the software itself but the fragmented process surrounding it."
"Auctor's platform ingests a team's existing institutional knowledge and builds a living knowledge base that adapts to their workflows, ensuring that critical information is retained."
"During implementation, Auctor automatically captures discovery sessions, workshops, notes, and unstructured data, distilling those inputs into structured requirements and generating execution-ready artefacts."
Auctor, a New York startup, has developed an AI-native platform to enhance the enterprise software implementation lifecycle. With $20 million in funding, the company addresses the issue of half of enterprise software projects missing deadlines and one in six exceeding budgets by over 200%. The root cause is identified as a fragmented process lacking a single source of truth. Auctor's platform captures existing knowledge, automates the documentation of discovery sessions, and generates structured requirements, ensuring traceability and improving project outcomes.
Read at TNW | Startups-Technology
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