Enterprise services
Deploy intelligent systems to the business front line
Forward deployed engineers work with parks, executive training institutions, and enterprise teams to enter real workflows, identify automatable steps, and deploy digital employees into production.
Service model
Deeper than outsourcing, more practical than consulting, more complete than a tool
The difference is that forward deployment enters the site, takes responsibility for outcomes, and leaves reusable capability behind.
Common model
Deliver software from a requirements document
Our model
Enter the business site and deploy digital employees that keep running in production
Common model
Produce only a consulting report
Our model
Join system design, deployment, debugging, and iteration while owning outcomes
Common model
Sell a single tool or plugin
Our model
Provide a complete execution system with workflows, permissions, and audit logs
Common model
Finish a one-off project and leave
Our model
Turn each deployment into reusable workflows, components, and domain experience
Service process
From workflow diagnosis to platform reuse
Forward deployment is not turning a document into software. It means mapping workflows, permissions, human confirmation, and metrics with business owners, then feeding reusable capability back into the platform.
Field diagnosis
Identify high-value workflows
Controlled deployment
Prototype before production
Platform reuse
Reuse components and audit chains
FORWARD DEPLOYMENT
Processes become visible, permissions defined, results tracked
- 01
Workflow diagnosis
Enter the business site and identify real workflows with high value.
- 02
Process decomposition
Break complex workflows into stable task units a system can execute.
- 03
Permission design
Define goals, tools, permissions, and confirmation boundaries for each task.
- 04
Prototype deployment
Run a demonstrable business prototype in a controlled environment.
- 05
Production launch
Connect digital employees to real business systems and start operation.
- 06
Continuous optimization
Iterate strategies and workflows based on logs and outcome metrics.
- 07
Platform reuse
Feed reusable capabilities back into the digital employee platform.
Co-build model
Use compute commitment to co-build a digital employee system
For qualified enterprises, annual compute commitment can cover development and deployment of digital employee systems. Teams not using this model can settle by development cost.
Submit request
Describe your workflow, automation goals, and system context.
Workflow diagnosis
FDE enters the site and identifies high-value automatable steps.
Confirm co-build scope
Define digital employee boundaries, compute commitment, and responsibility split.
Deploy digital employees
Run the prototype in a controlled environment, then connect production systems.
Optimize and consume compute
Iterate against outcome metrics and operate through annual token consumption.
Best-fit scenarios
Which workflows are suitable for digital employees?
When several signals match, there is usually clear automation potential. Diagnosis helps locate the best first workflow.