Enterprise Workflow Automation
Stop fixing rules that break. Coworker links automation to your company's memory so workflows route decisions based on how work actually happens and not just prewritten rules, which reduces manual interventions and speeds outcomes.
saved per knowledge worker weekly
fewer repetitive questions
product velocity increase
saved per 100 employees
Why Rigid Automations Break Operations
Many tools execute if then logic without organizational context. That creates fragile automations that need constant rule edits and manual exception handling, which wastes engineering and ops time.
Approval chains and handoffs in a documented workflow rarely match who actually approves decisions. Without decision history, automation routes tasks incorrectly and creates delays across teams.
Teams spend more time updating rules than improving processes. Coworker reduces that burden by surfacing where rules are obsolete and giving context so automations self heal or prompt corrective action.
Enterprise Workflow Automation With Organizational Intelligence
OM1 builds a living model of your organization across projects, roles, and decisions. That context tells automation who really approves, how priorities shift, and when processes need different routing.
Deep Work mode analyzes workflow patterns, proposes automation opportunities, and can execute tasks across connected systems. It provides both the plan and the execution so teams move faster and start with work already mostly done.
Coworker flags when organizational changes invalidate a rule and suggests corrections. The platform updates routing based on past decision patterns and lowers the volume of broken flows and ongoing maintenance.
Use Coworker alongside existing platforms like Zapier, Power Automate, and RPA tools. It supplies the intelligence those systems lack while letting them handle task execution and integrations.
Capabilities That Reduce Maintenance And Speed Execution
Route tasks based on historical decision makers and current priorities instead of static org charts. Teams see fewer escalations and faster approvals because routing reflects how work actually moves.
When exceptions occur, Coworker analyzes similar past cases and recommends the correct routing or action. This turns edge cases into data for process improvement rather than manual triage.
Coworker reads and writes to your tools, creating tasks, updating tickets, and generating documents so follow up happens automatically across the tech stack. That lowers manual handoffs and speeds completion.
Get insights about where documented processes diverge from real work. That data points to where automation will have the highest impact and where process design needs change.
Enterprise Security And Fast Integration
Operations teams report 8 to 10 hours saved weekly per person and cost reductions that scale. Estimate programmatic savings of roughly 750 thousand dollars per 100 employees from reduced maintenance and manual work.
Context aware routing and exception handling improve workflow velocity. Customers see measurable gains in completion speed and fewer rework cycles.
More than 25 enterprise customers use Coworker to augment existing automation. The platform produces analytics that help teams prioritize where automation will reduce the most manual effort.
Connect core systems and let OM1 index historical data. Organizational memory is created quickly so automation decisions use real history and relationships from day one.
Connects to your entire stack
100+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Enterprise Security And Fast Integration
Coworker meets SOC 2 Type 2, GDPR, and CASA Tier 2 standards and is independently audited across controls. Security is built in so automation does not expand risk or expose sensitive data.
Coworker does not train models on your raw data. Access controls are preserved and third party audits confirm compliance with enterprise policies and internal controls.
Get up and running in under a day with connectors to 50 plus apps. Coworker indexes historical data to create organizational memory so workflows start earning value quickly.
Integration works within your existing access controls and does not elevate permissions. That keeps governance intact while enabling cross-system automation.
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Learn moreFAQ
Frequently asked questions
Coworker augments existing platforms rather than replacing them. It connects to common automation and RPA tools to provide organizational context while leaving execution to your current systems, and integration supports reading and writing across connected apps while respecting existing permissions.
A focused pilot can show measurable benefits within days. Coworker indexes historical data and generates OM1 so teams can validate time saved and maintenance reduction before scaling to additional processes.
Coworker holds SOC 2 Type 2 and GDPR compliance and has CASA Tier 2 verification. Independent audits cover technical and procedural controls to align with enterprise security requirements and procurement policies.
Coworker does not train underlying models on customer data. Organizational memory is used to inform automation decisions while preserving data governance and ensuring no unwanted model training occurs.
When exceptions occur, Coworker analyzes similar historical cases to recommend routing or automated remediation. That approach reduces manual triage and surfaces when a documented process needs redesign instead of adding more rule branches.
Coworker supports connectors to 50 plus apps and common enterprise tools like Jira, Slack, GitHub, Confluence, Salesforce, Asana, and Google Drive. The integration list expands based on customer demand and custom connectors are available during POC discussions.
Governance is enforced through existing access controls so Coworker acts within the permissions you already set. Admins maintain control over automation scope, execution rights, and audit trails for every automated action.
Customers typically see significant reductions in automation maintenance and manual work. Estimates include eight to ten hours saved per operations member weekly, a 60 percent reduction in maintenance tasks, and sizable cost savings as automation scales.
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