Enterprise AI Solutions That Act Like Your Company Brain
Connect 40+ apps, surface real-time context across projects and teams, and let AI plan, prioritize, and execute work with minimal setup and no custom coding.
saved per knowledge worker weekly
fewer repetitive questions
product velocity increase
saved per 100 employees
Why Coworker For Enterprise AI Solutions
Coworker links signals across tools and people so AI recommendations reflect how work actually happens. OM1 tracks 120+ dimensions so answers and actions match team priorities and project realities, not generic model assumptions.
You get end-to-end task execution that files tickets, drafts messages, and triggers workflows across apps. The platform reduces manual follow up and turns recommendations into completed work.
Implementation takes under a day for core setups and integrations. Teams begin seeing clear updates and automation within the first week, which shortens evaluation cycles and speeds stakeholder buy in.
Security and privacy are core design goals. Coworker meets SOC 2 Type 2 and GDPR controls and preserves data residency and audit trails required by risk and compliance teams.
Capabilities Overview
Coworker indexes structured and unstructured data across 40+ apps and data stores to build a unified memory. That memory provides context so AI responses reference projects, owners, and priorities rather than isolated documents.
The platform runs multi step analysis that combines internal context with external signals. Analysts and product leads get concise, prioritized insights instead of raw outputs that need manual synthesis.
Hand off complex tasks to Coworker and watch it open tickets, draft communications, and update status across systems. Execution reduces to dos and frees senior contributors for strategic work.
OM1 is built to remember teams, timelines, and decisions across conversations and projects. Memory means faster onboarding for new projects and fewer repeated prompts from users.
Business Outcomes And Proof
Teams report time savings measured in hours per contributor and measurable velocity gains. Typical results include significant weekly time reclaimed for senior staff and improved project throughput.
Expect meaningful efficiency improvements with case examples that show reduced admin time and faster decision cycles. Demonstrable reduction in manual status work drives cost savings across teams.
More than 25 enterprise customers use Coworker for cross-functional intelligence. Customers report 60%+ drop in repetitive queries and knowledge workers save 8 to 10 hours per week.
ROI includes reduced labor costs from automation and improved velocity. Enterprises report savings near $750,000 per 100 employees when search, memory, and execution are combined.
Deployment, Onboarding, And Success Plan
Start by connecting core tools and permissions. The platform indexes historical data and generates OM1 while preserving privacy. Most customers complete a production ready index in under one day for key systems.
Run targeted pilots on critical workflows, measure outcomes, and adjust permission scopes. Pilots validate context accuracy and let teams refine automation triggers before scaling.
Expand across teams with role based access and audit logs. Governance frameworks keep data controls centralized while allowing teams to automate safely at scale.
A concise success plan assigns technical and business owners, sets KPIs, and schedules milestone reviews. A predictable rollout reduces disruption and accelerates measurable gains.
Connects to your entire stack
100+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Enterprise Controls And Certifications
Coworker meets SOC 2 Type 2 and GDPR standards and holds CASA Tier 2 verification. Third party audits cover extensive controls and tests to support procurement and compliance evaluations.
Data never leaves your cloud unless explicitly permitted. The platform does not use customer data to train underlying models, which maintains privacy boundaries and reduces exposure risk.
Role based access, end to end encryption, and audit logs provide visibility into who accessed what and when. These controls support internal compliance and forensic requirements.
Design operational controls around least privilege and separation of duties. Operational playbooks and configurable retention policies let teams manage risk without slowing adoption.
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Learn moreFAQ
Frequently asked questions
Most customers connect key apps and index historical data within a day. Pilots that focus on one workflow usually deliver measurable time savings and clearer status reporting within the first week of deployment.
Coworker supports 40 plus enterprise apps and common data stores, covering messaging, ticketing, code, and document systems. Typical integrations require configuration only, not custom engineering, for standard workflows.
OM1 tracks project, team, and decision metadata across conversations and systems to maintain organizational context. That memory reduces repetitive prompts and surfaces the right information for decision makers.
Coworker does not train underlying models on customer data and keeps data within permitted boundaries. Data never leaves your cloud unless explicitly authorized and audit logs record access for compliance.
Coworker maintains SOC 2 Type 2 and GDPR compliance and holds CASA Tier 2 verification. Independent audits and documented control sets help procurement and security teams complete assessments efficiently.
Role based access controls and fine grained permissions let administrators scope who can view memory, run automations, and modify integrations. Audit trails provide a complete record of actions for governance.
Coworker is designed to complement existing AI and analytics stacks by adding organizational context and execution. The platform integrates with model deployments and analytics tools so you preserve prior investments.
A focused pilot produces two outcomes: validated context accuracy for your workflows and measurable time reclaimed from manual tasks. Those outcomes usually translate into clearer decision cycles and quicker cross team alignment.
Start managing knowledge with AI today
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