融效通EachRun
One workspace for enterprise AI. Employees use the web or desktop app, while the company manages workspaces, models, agents, permissions, budgets, and execution records.
One access point, one permission system, one ledger, with every execution recorded.
EachRun brings AI execution into the company's management boundary, regardless of which model is used.
From sales to leadership, connect AI to the work teams do every day.
Keep customer context, outreach preparation, and follow-up actions in one project, with AI involved and every step recorded.
Share project context and agents so research, drafting, review, and delivery move forward in one project.
Set people, tools, and delivery requirements by task, then see progress and exceptions at any time.
Grant access to code, tools, and data by project. Sensitive capabilities stay closed by default, and every run is recorded.
Summarise usage by workspace, person, and model so budgets, cost allocation, and monthly reviews share one ledger.
Review pilot progress by team, task, model, status, and usage before deciding the next investment.
Clear thinking on enterprise AI selection, governance, and security.
The lid closes and the run stops. Moving agents into a cloud workspace changes time, devices, ownership and cost at once.
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Project discussions carry team communication and AI answers; the sharing center manages workspaces, projects, files and collaboration roles.
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Company-wide AI adoption improved output but exposed training, visibility, repeated setup and knowledge-retention problems. We spent ten months turning individual gains into a managed company workspace.
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Which agents are open, what data they may read and which project the cost lands on all have to line up.
Read article →Tell us which team is using AI and where cost, access, handover, or execution records are hardest to manage.
