What’s the status of AND-0242?
Ann DoeRules and judgment
Code for deterministic execution. Agents for dynamic execution with judgment, using tools and a sandbox.
Production workflows for complex operations
Automate the decisions that run your business operations.
Andon turns your policies and SOPs into workflows where AI agents read the documents, apply your rules, and bring in a reviewer when a case needs sign-off.
Book a workflow review
AI prototypes are easy to build and hard to run reliably in production.
Built by people who have operated machine learning in production.
Andon grew out of a gap we saw repeatedly: model capabilities were advancing faster than the systems needed to make them reliable in daily operations. Working across financial services and healthcare, we found that what makes a workflow reliable is the same from one industry to the next. Andon is built on that shared foundation, with industry-specific tools added where a workflow needs them.
We have built and operated production machine-learning systems at Uber, Meta, and LlamaIndex. We understand the difference between a promising research result and a workflow a business can rely on every day.
Our name comes from the Toyota Production System. On the factory floor, an andon is a signal, often a pull cord, that stops the line when something goes wrong so a person can step in. The rest of the time, the line runs on its own. Andon brings that idea to operations: workflows run on your policies and SOPs, and a person is called in only when a case needs their sign-off.
The Andon platform
Andon runs between the places your team works and the systems that hold your data.
Your team’s interfaces
- Portal
- Inbox
- Application
Andon
- agents
- state
- guardrails
- reviews
- versions
Your systems
- Documents
- Databases
- APIs
- Systems of record
Capabilities
Built-in platform tools
OCR, document extraction, web search, and healthcare-specific tools come standard.
Connections
Connect your inbox, databases, and file storage, and write results back.
Agent-first APIs
Call workflows, deploy new versions, and optimize them through the Andon SDK and API.
From a manual process to a production workflow.
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Week 1
Define the workflow
We map the process, sample cases, exceptions, systems, and success criteria with your team.
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Weeks 2 to 4
Prove it on real cases
We build the first version and test it against your cases until it meets the agreed threshold.
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Weeks 4+
Launch and improve
We connect live systems, launch with human review on defined cases, and release improvements with your approval.
Complex workflows, integrations, or a higher accuracy bar can extend the timeline.
Frequently asked questions
What kind of work is a good fit?
Work that repeats, follows an SOP (even an informal one), crosses documents and systems, and needs judgment. For one-off research or open-ended questions, a copilot is the better tool. For simple rule-based tasks, traditional automation such as RPA is usually enough.
How does Andon compare with other approaches?
| Approach | + Good for | − Not good for |
|---|---|---|
| Traditional automation (RPA) | Stable, rule-based tasks where every case follows the same steps | Steps that are ambiguous or take judgment, and workflows whose path changes from case to case |
| Copilots | Ad hoc analysis and one-off questions, with a person driving | A production process that needs to run reliably with full visibility |
| Agent frameworks | Engineering teams building their own AI systems | Teams that don’t want to own the production layer: state, reviews, deployment, and monitoring |
| Vertical SaaS | One standard workflow, done the vendor’s way | Workflows shaped by your own SOPs, or a second workflow, which takes another product |
| Point solutions | One step of a workflow, such as browser automation or document extraction | A whole workflow. You own the engineering to stitch several together, and you pay for each one. |
| Andon | Complex, SOP-driven workflows that need agentic judgment running within a deterministic backbone | One-off research, and simple rule-based tasks that RPA already handles |
How much work is required from our operations and engineering teams?
We lead the implementation. Your operations lead provides the SOP or guidelines, sample cases, exceptions, and the accuracy target. Engineering provides scoped system access and helps test integrations.
How does Andon connect to our existing systems?
Andon comes with connectors for email, databases, and file storage. Where a workflow needs another system, we build that integration during implementation, so the workflow can read from and write to your systems of record. We agree with your team which systems each workflow needs.
What happens to our data? Who owns the IP?
Your data is never used to train models. When a workflow handles PHI, we sign a BAA with you and put BAAs in place with our model and infrastructure providers before any PHI reaches the platform. If your team needs data residency, deployment in your own cloud can be discussed separately.
Customers own all IP specific to their workspace: workflow code, prompts, SOP logic, and configuration. Andon owns only platform IP: the runtime, SDK, tools, and console.
Have a workflow in mind? Let’s talk.
Tell us how the work runs today: the SOP or guidelines, the exceptions, and the outcome you need. We’ll let you know whether Andon is a good fit and map the path to production.
Book a workflow review
Not ready to book?