Production workflows for complex operations

Automate the decisions that run your 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.

Book a session

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.

Operations Live
Failing · 24h
0
In review
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Running now
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Waiting
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Run historyReviewsVersions

Follow the work, not just the answer.

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.

Case historyReview required
1
Receive caseCompleted
2
Apply policyCompleted
3
Review exceptionWaiting for a person
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Complete caseResumes after review
A workflow receives a case, applies policy, waits with context for a person, and resumes after the review.

AI can make a decision. A production system has to carry it through.

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

Choose what your team wants to own.

Each approach can automate part of the work. The difference is what your team must still coordinate and operate afterward.

ApproachBest forWhat your team still owns
Traditional automationStable, deterministic processesContextual exceptions require manual work or custom code
CopilotsAd hoc analysis and decision supportPeople still coordinate, execute, and track each case, so the operating model does not scale
Agent frameworksBuilding custom AI systemsProduction orchestration, state, reviews, deployment, and monitoring
Point solutionsOne standardized workflowAdjacent workflows require another product or integration
AndonComplex, SOP-driven operationsPolicy, approvals, and business outcomes. Andon owns the agents and execution.

Your team owns the operating model. Andon owns the production system.

Your team defines how the operation should run. Andon executes the workflow and operates the underlying production system.

Your team owns

  • SOPs and policy decisions
  • Success criteria and accuracy thresholds
  • Approval policies
  • Exception handling and sign-off
  • Business outcomes

Andon owns

  • Workflow execution and state
  • Agent runtime and contextual processing
  • Review routing and run inspection
  • Evaluations and versions
  • Controlled releases and runtime operations

Where Andon sits

Your team’s interfacesPortals, inboxes, and applications where work happens
Andon
Production Workflow Executionagents · state · guardrails · reviews · versions
Your systemsDocuments, databases, APIs, and systems of record

Capabilities

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.

Inspectable from case to release.

Review the inputs, outputs, evidence, status, and human interventions for a run. Evaluate and approve new workflow versions before they become active.

Pause for people. Resume without losing the thread.

When a person is needed, the workflow waits with the relevant context attached and continues from the same point after the response.

Runs for as long as the work takes.

A workflow can wait for a document, review, deadline, or external event while its state remains attached to the case.

Common capabilities included. Specific tools built for your workflow.

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.

Start with work that already matters.

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.

  • It repeats.Similar cases arrive every day or week, even though their exceptions vary.
  • There is an SOP and an owner.Your team can explain how a good decision should be made.
  • Work crosses documents and systems.Inputs arrive through inboxes, portals, files, or databases, and results must be written somewhere else.
  • Judgment matters.People interpret evidence, apply policy, and resolve ambiguity.
  • The work may need to wait.A review, missing document, deadline, or external event can pause the case.
  • Mistakes matter.You need to know what happened, what evidence was used, and who intervened.

Not a good fit

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.

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.

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.

Outcomes tailored to your need, not a point solution

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.

A production system, not just a proof of concept

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.

From your SOP to a running production workflow.

  1. Step 1 (Week 1)

    Define the workflow

    Together, we map the SOP, representative cases, rules, exceptions, systems, human decisions, and success criteria.

  2. Step 2 (Weeks 2–3)

    Prove it against real cases

    We build the first workflow version, evaluate it against representative cases, label failures and exceptions, and iterate toward the agreed readiness threshold.

  3. Step 3 (By week 3 or 4)

    Launch and improve safely

    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.

Frequently asked questions

How much work is required from our operations and engineering teams?

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.

How long does the first workflow take to launch?

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.

How does Andon connect to our existing systems?

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.

Can a workflow wait for several days?

Yes. A run can wait durably for a person, deadline, or external event. Its state remains attached to the run when execution resumes.

What happens when the workflow is uncertain or produces the wrong outcome?

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.

Can we see why a decision was made?

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.

How are workflow changes evaluated and released?

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.

Why not build this with an agent framework and an orchestrator?

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.

What does our team continue to own?

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.

Bring one workflow that matters.

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.

Book a session

Thirty minutes to discuss the workflow, its exceptions, and what production would require.

Not ready to book?

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