02 · ORCHESTRATE
Enterprise AI Agent Studio
MoShun Agent Studio
Designing AI agents around real roles, processes, knowledge and system interfaces — agents that step into the flow of work rather than sit beside it.
What this is
The hard part of an agent is never model selection — it is its position in the organisation: which segment of a process it owns, which data it may read, which systems it may call, and at which step a human must confirm. Agent Studio starts from those questions, not from a prompt.
The problem
A general assistant usually stops at "it can talk": it does not know the role, does not touch real systems, and cannot carry process responsibility. Demos land well; deployed value does not.
Core capabilities
- 01
Role modelling
Responsibilities, inputs, outputs and decision criteria are defined first, giving the agent a real boundary.
- 02
Multi-agent collaboration
Complex processes are split into individually evaluable roles instead of one very long prompt.
- 03
Tools and system interfaces
Business systems are read and written through controlled interfaces, with argument validation and logging on every call.
- 04
Human confirmation points
High-risk actions stop at a human checkpoint where a person decides whether to proceed.
- 05
Continuous evaluation
Capability and tuning are reviewed on a quarterly cadence, and processes are re-orchestrated as the organisation changes.
How it works
- 01
Map
Map roles and processes, and identify what is genuinely worth automating.
- 02
Define
Define the agent’s remit, permission scope and human checkpoints.
- 03
Connect
Connect the knowledge base and business systems, and assemble a controlled tool set.
- 04
Validate
Validate accuracy, cost and failure handling within a limited scope.
- 05
Operate
Move into daily operation, with outcomes fed back into ongoing tuning.
Where it sits across the capability domains
- 01 · SENSESense & InteractNot directly involved
- 02 · UNDERSTANDKnowledge & JudgementAlso touches
- 03 · CREATEContent & GenerationNot directly involved
- 04 · ACTAutomation & ExecutionAlso touches
- 05 · ORCHESTRATEEnterprise OrchestrationPrimary domain
Use cases
- 01
AI service and sales
Multi-channel intake, intent recognition, human hand-off and conversion tracking.
- 02
Internal process assistant
Takes on the repetitive judgement inside approvals, documents and cross-team coordination.
- 03
E-commerce operations
Assortment analysis, detail-page generation and support-script refinement.
Enterprise system connections
- CRM and ticketing
- ERP and order systems
- Enterprise knowledge base
- Approval / OA systems
- Data warehouse
Data, permission and deployment
Permissions follow roles and data domains; an agent reaches only what it has been explicitly granted. Every tool call is logged for audit. Local models and private deployment are supported, so data need not leave the organisation.
What is open today
Delivered as scoped enterprise engagements. The usual starting point is a requirements review that identifies what is worth automating first; delivery scope and integration path follow from it.
Apply for access
Want to know what this does in your own context?
Tell us the scenario and the systems already in place. We will start by judging whether it is worth doing at all, then talk about how.
Delivered to enterprise customers as scoped engagements; scope, timeline and integration are defined per project.