Document Management System for Enterprise Teams
Teams find critical files without hunting across tools. Coworker indexes content across 40+ apps and pulls context from conversations and decisions so answers surface alongside the documents that matter.
saved per knowledge worker weekly
fewer repetitive questions
product velocity increase
saved per 100 employees
Why Traditional Document Tools Create Friction
Search across docs, tickets, messages, and repositories with relevance that understands your projects and priorities. Coworker surfaces the right version and related decisions so users get a full answer, not a list of files.
OM1 links documents to teams, decisions, and timelines so institutional knowledge stays attached to files. That memory reduces repeat questions and keeps context intact as people and projects change.
Documents, meeting notes, and code reviews are auto-captured and indexed without manual tagging. Version history and change context stay visible so teams know what changed and why.
Document Management System Features
Search Returns Files, Not Answers: Search that only returns filenames leaves teams to assemble context manually. Coworker synthesizes document content with meeting notes and tickets so answers are ready the moment users search.
Context Is Scattered Across Silos: Documents alone rarely explain why decisions were made. Coworker links files to conversations, owners, and project timelines so context travels with the document.
Compliance and Risk Slow Work: Manual audits and ad hoc sharing increase exposure and slow approvals. Coworker respects your access controls, logs activity, and surfaces only permitted content.
Teams Waste Time Recreating Knowledge: When expertise is undocumented, teams repeat work and reask questions. Coworker captures tacit knowledge from meetings and reviews so teams stop reinventing answers.
Security and Compliance
Knowledge workers save 8 to 10 hours per week by reducing search and context assembly. Faster access to documents and decisions drives a measurable increase in team velocity and fewer repeated questions.
Coworker reduces redundant work and tool sprawl, delivering meaningful cost avoidance. Enterprises report savings comparable to $750,000 per 100 employees through improved access and reduced admin overhead.
Before, teams pasted files into chats and re-prompted AI without context. After, Coworker auto-captures documents and links them to project memory so teams spend time executing, not assembling context.
Head of AI at Cut+Dry says Coworker turns scattered updates into actionable insight. Other customers highlight hours saved and the shift from manual documentation to automated organizational memory.
Integrations and Deployment
Connect 40 Plus Enterprise Apps: Coworker connects to your tools and data stores without custom code. Integrations let documents, tickets, and messages feed OM1 so context is available from day one.
Setup in Under a Day: Index historical data and generate organizational memory quickly. Implementation teams find Coworker requires minimal configuration and gets useful results faster than traditional DMS migrations.
Works With Your Existing DMS and Stack: Coworker augments, not replaces, your current document repositories and knowledge tools. Use existing platforms for storage and let Coworker provide the intelligence and execution layer across them.
Implementation Phases and Outcomes: A simple rollout starts with connectors, then memory generation and pilot users, followed by broader enablement. Each phase delivers measurable outcomes such as faster search and reduced repeat questions.
Connects to your entire stack
100+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Security and Compliance
Coworker follows strict standards including SOC 2 Type 2 and GDPR compliance. Controls include encryption, role-based access, and audit trails so IT and security teams retain control over sensitive documents.
Coworker integrates with your data stores and respects residency and custody policies. You keep ownership and Coworker indexes content without training models on your underlying data.
Every access and action is recorded to help with internal reviews and third-party audits. Coworker passed independent testing across multiple controls and provides traceable activity for compliance teams.
Integration is designed to work with existing permissions so deployment does not require broad permission changes. IT teams can limit exposure while enabling faster access for authorized users.
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Learn moreFAQ
Frequently asked questions
A Document Management System stores and organizes files but often lacks organizational context. Coworker adds OM1 to connect documents to conversations, decisions, and stakeholders, giving files meaning and making search immediately actionable.
Coworker ingests content from connected apps and indexes both structured and unstructured data. Retrieval returns documents plus contextual summaries and linked decisions so users understand relevance without manual assembly.
Yes. Coworker respects your existing storage and permission model and integrates with your enterprise apps. IT retains control and audit logs while teams gain faster access to authorized documents.
Most teams connect core apps and generate initial memory within a day, with pilot users active shortly after. Full rollouts follow phased adoption so outcomes appear quickly and scale with usage.
Coworker meets SOC 2 Type 2 and GDPR compliance and holds CASA Tier 2 verification. These controls, plus encryption and audit logs, help satisfy enterprise document governance requirements.
Coworker does not train external models on your underlying data by default. Indexing creates organizational memory for internal use while respecting custody and residency rules.
Expect dramatic reductions in time spent searching and re-asking questions, faster approval cycles, and clearer decision trails. Organizations typically see measurable gains in velocity and lower operating cost related to knowledge work.
Compare on context, execution, and integration rather than storage alone. Coworker augments repositories with OM1, automation, and multi-source search so evaluation should include time to insight and ability to capture tacit knowledge.
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