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.
Gateways handle model calls. Governance platforms handle projects, permissions, approvals, and handovers. Use both where each layer fits.
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Integration, permissions and audit, usage attribution, and upkeep. Only the first is a one-off task.
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Identity, projects, models, permissions, usage, and execution records must stay aligned around the same work.
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Give every executor its own identity and least privilege, confirm sensitive actions, and retain complete records.
Read article →Tell us which team is using AI and where cost, access, handover, or execution records are hardest to manage.
