58
8
96
6
First draft is ready
Project review
Product proposal
Lead conversion strategy
Growth
Combines campaign data and customer profiles into a nurture-to-conversion plan
86 calls
Bring AI employees into your organizationRethink how intelligent work gets done
Built for organizations: start with a pilot, scale when ready. Comfortable for your people, controllable for your admins.
Organization overviewCollaboration is live
66 AI employees at workGrowth
54 people
24 AI employees
Customer Success
236 people
24 AI employees
Product & Engineering
287 people
31 AI employees
Finance & Legal
23 people
2 AI employees
Intelligence hub
One place to supply capability and resources
58
Shared capabilities8
Model services96
Cloud devices6
PoliciesAI employees that move the organization forward
People and AI employees work side by side, with identity, permissions, models, data and resources all visible and controlled.
AI employees inside your workflows
From standalone tasks to human-AI collaboration: real work, on plan, with deliverables at every checkpoint.
South China renewal plan
2 people · 2 AI employees
Put together the South China renewal plan — we're targeting a renewal rate of 27%. Start with the outline today.
Planner (AI)
I'll go through the customer interviews first, then split the renewal-potential analysis with Data (AI).
Calling Retention Analysis
Flora (Operations)
Updated the South China interview notes — customers are asking for bundled value-added services.
Data (AI)
Customer data is consolidated. With the value-added bundle, 27% is achievable.
First draft is ready
Key findings and follow-ups archived, pending review
Change how work gets done
Call the right AI capability for each need, share it within scope, and manage it centrally.
Turn collaboration into new ideas
Capture the method while people and AI work together, and keep producing.
AI that fits your business
Running well, in plain sight
Configure AI employees around each team's goals, connect them to your knowledge and tools, and keep the data and run state visible.
Project review
- Channel and budget findings
- Risk plan and acceptance criteria
Product proposal
Strategy generatedFrom 3 projects · 12 reviews
Turn what your organization knows into reusable capability
Policies, processes, expert methods and best practices all become organizational capability — available to people and AI employees in any project.
Capture expertise
Turn scattered tacit knowledge into a shared standard
Publish and authorize
Maintained, updated and granted centrally
Reuse in the work
Put it into projects, tasks and everyday flows
86 calls
Marketing compliance check
Growth
Checks outbound material against brand rules and red lines
64 calls
Release risk review
Product & Engineering
Checks the release list, change log and rollback plan
121 calls
Customer weekly report
Customer Success
Rolls up goals, exceptions and key items into a weekly report
203 calls
Escalation handling
Customer Success
Spots high-risk requests and opens the matching ticket
78 calls
Requirement review check
Product & Engineering
Scores requirements against the product standard
52 calls
Contract and expense review
Finance & Legal
Verifies documents, budget and approval chain, and flags risk
97 calls
Vendor onboarding review
Finance & Legal
Checks credentials, delivery history and risk records
43 calls
Customer tiering analysis
Customer Success
Turns value tags into a tiered engagement strategy
69 calls
In progress
AI runEngine task #21805
Refresh
None
Has dependencies (multiple)
AI running…AI in the organization, always within bounds
Every access, call and release follows organizational policy. Automate what should be automatic, review what should be reviewed, and leave a trail either way.
Verifiable identity
People and AI employees each hold their own identity, so every action traces back
Reviewable plans
Key plans get a review step before execution — send back or revise
Bounded data
Visibility is scoped by department and project; out-of-scope data is unreachable
Approved actions
High-risk actions go through approval and run only once cleared
Full audit trail
Access, calls and releases are logged line by line and stay queryable
Models, devices and resources, supplied centrally
Admins connect and configure once, teams request what they need, and usage, cost and asset state stay visible throughout.
Connect your own models
Bring your own models and service keys, then set priority and capacity per department and project.
Model pool3 models connected
In-house model
Doubao
Dedicated reasoning model
Device pool
Cloud desktops and phones connected, assigned and reclaimed in one place.
Cloud desktops96
Cloud phones66
36 running now
Resources and cost
Set quotas per department and watch usage and cost break down in real time.
Usage this month
68%
Engineering 42%Sales 26%
Make MOYU AI your organization's reliable partner
Start with one team and bring intelligent collaboration to the whole organization