Rules where you need certainty. Judgment where you need context.
Keep policy boundaries, validations, and required approvals explicit while agents interpret the evidence available in each case.
Production workflows for complex operations
Andon turns SOPs into production workflows that apply explicit rules, interpret case-specific evidence, involve people when needed, and continue across the systems your team already uses.
Thirty minutes to discuss one workflow and whether Andon is a fit.
Representative Andon Operations dashboard showing run status counts and workflows that need attention.
See Andon receive source material, apply policy, pause with context for human review, resume after a decision, and preserve a complete history of what happened.
Prototypes can look convincing when every input is clean and every response is immediate. Real operational work includes conflicting evidence, long waits, policy changes, system failures, and decisions that must be explained later.
The evidence conflicts: low confidence recommendations can be routed for a human review.
A connected system is unavailable: the workflow can wait and retry without losing its place.
A change in policy: the new workflow version is evaluated and approved before activation.
A customer asks for an explanation: the inputs, steps, decisions, and human interventions are inspectable. No monolithic agentic workflows that give different results from run to run.
Where Andon fits
Each approach can automate part of the work. The difference is what your team must still coordinate and operate afterward.
| Approach | Best for | What your team still owns |
|---|---|---|
| Traditional automation | Stable, deterministic processes | Contextual exceptions require manual work or custom code |
| Copilots | Ad hoc analysis and decision support | People still coordinate, execute, and track each case, so the operating model does not scale |
| Agent frameworks | Building custom AI systems | Production orchestration, state, reviews, deployment, and monitoring |
| Point solutions | One standardized workflow | Adjacent workflows require another product or integration |
| Andon | Complex, SOP-driven operations | Policy, approvals, and business outcomes. Andon owns the agents and execution. |
Your team defines how the operation should run. Andon executes the workflow and operates the underlying production system.
Your team owns
Andon owns
Keep policy boundaries, validations, and required approvals explicit while agents interpret the evidence available in each case.
Review the inputs, outputs, evidence, status, and human interventions for a run. Evaluate and approve new workflow versions before they become active.
When a person is needed, the workflow waits with the relevant context attached and continues from the same point after the response.
A workflow can wait for a document, review, deadline, or external event while its state remains attached to the case.
Document capabilities like OCR and structured extraction come standard. Integrations bring context from your systems and write results back. When a workflow needs something specific, such as a payer-policy database lookup, we build it as a tool its agents can use.
The strongest first workflow is repeated often, difficult to automate with rules alone, and important enough that mistakes, delays, or manual effort have a meaningful cost.
One-off research, unconstrained chat, a simple deterministic task, or a process the organization has not agreed on yet. Other solutions might better fit these workflows: Where Andon Fits
Bring us one workflow. We’ll tell you plainly whether it is a fit.
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.
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.
We start with the SOP, systems, exceptions, and success criteria for the workflow. Common platform capabilities are reusable; the completed workflow is specific to your operation.
We do not hand over a prototype and leave your team to build the production system around it. The workflow is implemented, deployed, inspected, and improved on Andon. Your engineering team does not have to become an AI infrastructure team to automate one important operation.
Together, we map the SOP, representative cases, rules, exceptions, systems, human decisions, and success criteria.
We build the first workflow version, evaluate it against representative cases, label failures and exceptions, and iterate toward the agreed readiness threshold.
We connect the live systems, launch into a monitored production window, route defined cases for human review, inspect outcomes, and release evaluated improvements with your approval.
We lead the workflow implementation. Your operations lead provides the SOP, representative cases, exceptions, policies, and target accuracy; engineering provides scoped system access and helps test integrations. As the workflow moves into production, your team reviews defined exceptions and approves changes while Andon operates the execution and monitoring.
A first workflow typically launches in 3–4 weeks. That includes defining the workflow, proving it against representative cases, connecting the required systems, and beginning a monitored production launch. Complex workflows, integrations, or a higher required accuracy bar can extend the timeline.
We scope each workflow to the data, documents, APIs, and tools it needs, then connect it to your existing systems through approved interfaces. Integration work is defined during implementation; Andon does not assume every system is available as a packaged connector.
Yes. A run can wait durably for a person, deadline, or external event. Its state remains attached to the run when execution resumes.
Uncertain or sensitive cases route to human review based on the thresholds your team sets. When an outcome is wrong, the run history shows exactly what happened, and the fix ships as an evaluated, versioned change that activates only after your approval.
Yes. Run and step history keeps the inputs, outputs, evidence, status, timing, and human interventions attached to the workflow run so that your team can inspect what happened.
Changes are evaluated against representative cases, captured in a new workflow version, and activated only after approval. The active version and the version that produced each run remain inspectable.
Building with a framework can be right if your team wants to own the full production system: durable state, human-review flows, run inspection, versions, deployments, monitoring, and runtime operations. Andon is built agent-first: agent steps and their surfaced inputs, outputs, evidence, and status are part of the inspectable workflow run. You get that operating layer without building or maintaining it.
Your team owns the SOP, policy decisions, approval and accuracy thresholds, exception handling and sign-off, and business outcomes. We help translate those requirements into the workflow; Andon then operates the agents, durable execution, reviews, inspection, versions, and runtime infrastructure.
Show us the SOP, the exceptions, and the outcome you need. We’ll help determine whether it is a good fit for Andon and map the path to production.
Thirty minutes to discuss the workflow, its exceptions, and what production would require.