Reusable project templates
Standardize successful workflows and apply them to new client accounts.
Agency use case
Standardize and scale AI-powered client delivery
Build reusable multi-agent workflows for research, operations, content, outreach, reporting, and delivery - then run them across client projects with more control and visibility.
A client-ready control layer for real AI operations.
The problem
Agency AI delivery often looks powerful in demos - but messy in real execution
If you run an agency or AI automation practice, you already know the pattern: every client project starts from scratch, workflows live across disconnected tools, prompt logic gets buried in documents, outputs are hard to standardize, and delivery depends too much on manual coordination.
That makes it difficult to scale your service and difficult to make AI work feel like a real operational product.
The promise
Turn your AI service delivery into a repeatable operating system
Hermes Control Center helps agencies build structured AI workflows that can be reused across projects.
Instead of rebuilding the same logic every time, you can create repeatable project blueprints, define agent roles and handoffs visually, publish to local runtimes, monitor execution across runs and tasks, and deliver outputs in a more professional, controlled way.
What agencies can do
Built for client-facing AI workflows
Multi-agent delivery
Model supervisors, researchers, reviewers, and delivery roles in one system.
Structured output tracking
Track runs, tasks, artifacts, approvals, and delivery across each project.
Local runtime deployment
Run execution through a local runtime while managing projects from the cloud.
How agencies use it
How agencies use it
01
Create a project from a client need
Start with a client workflow description and generate a structured blueprint.
02
Customize roles and prompts
Adjust the workflow for each client while keeping your delivery model consistent.
03
Deploy to a local runtime
Publish the project to a controlled runtime environment.
04
Run and deliver
Track execution, review outputs, and package results for the client.
Why agencies buy
Why this matters for agencies
More repeatable delivery
Turn good AI service workflows into repeatable client operations.
More professional presentation
Use a real control layer instead of stitching together disconnected tools.
More leverage per operator
Let a smaller team manage more client workflows with better structure.
Better differentiation
Offer clients something more durable than prompts and automations.
Best fit
Best for agencies and service teams that
- Deliver research, operations, content, outreach, reporting, or client workflow packages
- Want reusable AI project templates
- Need client-facing operational visibility
- Want more structure than no-code automations alone
- Want to productize their AI delivery model
Positioning
This is not just workflow automation
Workflow tools can connect steps. Hermes Control Center helps you manage AI roles, project structure, execution visibility, review layers, and delivery in a system that feels closer to a real operating model.
Call to action
Build an agency delivery model that scales
If your team is already selling AI services, this helps you turn delivery into a repeatable system instead of a collection of one-off setups.
FAQ
Questions agencies ask first
Is this for agencies only?
No. But agencies are one of the strongest fits because the system makes repeatable, client-facing AI delivery easier to structure and scale.
Can I reuse workflows across clients?
Yes. That is one of the key advantages of the system.
Is this replacing no-code tools?
Not necessarily. It gives you a stronger control layer for AI operations, especially when workflows need agent roles, review, scheduling, and visibility.