
Ghostrun
Revenant AI · Coding · Other
Ghostrun is a governed AI workflow automation platform from Revenant AI, letting teams build apps, connect systems, and run them on Hosted, Isolated, or their own AWS.

About Ghostrun
What Is Ghostrun
Ghostrun is an AI workflow automation platform, built by Revenant AI, for companies that need to turn a messy business process into a governed application. You map the process, build the flow and its interfaces, connect the systems it touches, and run it on your terms. The pitch is control: the platform is a single control plane for the logic and approvals that sit behind a workflow, not just another chatbot builder.
The problem it goes after is the gap between a working demo and something you can run in production. Spreadsheet logic, one-off scripts, and approval steps stitched across email all break once volume picks up. Ghostrun treats those pieces as first-class parts of an app: a data model, defined interfaces, approval points, and a run history you can audit.
The limits matter too. Ghostrun is a business platform, not a self-serve tool with a public price list. You buy through a fit call or carry the cost on an existing AWS commitment, and the site publishes no per-seat numbers. Smaller teams that want to swipe a card and start today will find the engagement model heavier than a typical SaaS signup.
Getting Started
- Book a 20-minute fit call from ghostrun.app and walk through the process you want to automate.
- Pick a deployment tier. Hosted runs in Ghostrun's cloud with no setup, Isolated gives you a managed environment in a dedicated cloud account, and Dedicated runs the full platform inside your own AWS account.
- Build the application. Define the data model, the flow, the interfaces, and the approval points where a person signs off.
- Connect the systems the workflow touches, then use the API Studio and the no-code Portal Builder to expose it to the rest of your stack.
- Run it and keep it current. Track runs, version the workflow, and adjust as the process changes.
Product Information
A quick look at Ghostrun's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Operations teams
- IT and platform engineers
- Compliance and risk staff
- Companies already on AWS
Tasks
- Building internal apps
- Automating approvals
- Connecting systems
- Governing a process
Scenarios
- Replacing spreadsheet-driven processes
- Regulated back-office work
- Multi-team rollouts
Key features
Governed workflow and app building
Ghostrun centers on building workflows and the apps around them, not isolated automations. You define the flow, the data model, the interfaces, and the approval points in one place. The platform keeps the app governed, so the logic behind a process stays visible and changeable rather than buried in scripts.
Three deployment tiers
The platform ships in three tiers. Hosted runs in Ghostrun's cloud with no infrastructure to manage, Isolated gives you a managed environment in a cloud account dedicated to your organization, and Dedicated deploys the full platform inside your own AWS account with your own data boundaries and billing. You pick based on how much separation and control you need.
API Studio
API Studio is where you turn a workflow into something the rest of your stack can call. You expose the app's capabilities as an API, so other systems and services can trigger the process and read its results. That's the difference between an internal tool and a service your other software can build on.
No-code Portal Builder
The Portal Builder lets you put a front end on a workflow without hand-coding it. You assemble a no-code portal so the people running the process interact with an interface, not a raw flow. It's aimed at the teams who own the process rather than the engineers who built it.
Human approvals and business rules
Ghostrun treats approvals and business rules as parts of the app. You place approval points where a person needs to sign off, and define the rules that decide how the workflow moves. The decision and the path taken are recorded, which is what makes the process governed rather than merely automated.
Version history and run history
The platform keeps a record of how a workflow has changed and how it has run. Version history shows what the app looked like over time, and run history shows what happened on each execution. For teams that need to explain a decision later, that trail is the point.
Pros and cons
Pros
- Puts the whole lifecycle in one place, from process mapping and building to deployment and ongoing operation.
- Three deployment tiers, including a Dedicated option that runs inside your own AWS account.
- Treats approvals, business rules, and audit trails as core parts of an app rather than afterthoughts.
- API Studio and the no-code Portal Builder expose the workflow to other systems and to non-technical users.
- Managed service option covers assessment, build, integration, and ongoing operation if you want a team to run it.
Cons
- No public pricing and no free tier, so you can't evaluate cost or start without a sales conversation.
- The site publishes no launch date or version numbers, which makes it hard to judge how mature the platform is.
- It's heavier than a typical SaaS tool. Getting value depends on having a real process and someone to own it.
- Documentation lives at a separate address the site doesn't link prominently, so self-guided evaluation is limited.
Frequently asked questions
Ghostrun is an AI workflow automation platform built by Revenant AI. It lets teams map a business process, build it into a governed application with defined approvals and interfaces, connect the systems it touches, and run it on the tier they choose. It positions itself as a control plane for business logic rather than a simple chatbot builder.
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