One recurring process. Connected systems.
A result the operation can verify.
Workflow engine / ordered execution
We redesign one recurring process across documents, support, CRM, ERP, OMS, PIM, commerce, and internal APIs. Every automated action gets an owner, an acceptance rule, an exception path, and an audit trail.
Assess one workflow↗Scope before softwareHuman checkpoints where neededMeasured after release
A viable automation has a recurring trigger, enough context to decide, a system where the action belongs, and a finish that can be checked. These are four places we can begin without pretending the whole company is one workflow.
Models handle only the judgment they are suited for. Deterministic rules, identity, APIs, queues, approvals, and logs carry the rest of the work.
An event, document, request, schedule, or system state starts one versioned workflow.
Use authorized data, deterministic logic, and a model only where interpretation is required.
Call the permitted API with least privilege and request human approval for bounded decisions.
Capture the action, outcome, exception, latency, run cost, and quality signal without logging private prompts.
The first release is deliberately narrow enough to evaluate and complete enough to expose real integration, exception, and operating costs.
Map inputs, decisions, handoffs, exceptions, owners, current cycle time, and the definition of done.
WORKFLOW MAPBuild an evaluation set, enumerate failure modes, choose human checkpoints, and model the cost per completed task.
ACCEPTANCE PLANConnect identity, data contracts, APIs, interfaces, and operational systems in testable increments.
CONTROLLED RELEASEReview exceptions, quality, latency, cost, and downstream effects; improve or roll back with evidence.
MEASURED OPERATIONProduction automation must explain who or what acted, which data it used, why it was allowed, and what happens when confidence or policy is insufficient.
Service identities, scoped credentials, tenant boundaries, data minimization, and explicit tool access.
Representative test cases, acceptance thresholds, adversarial inputs, regression checks, and failure review.
Approvals for material actions, named exception owners, complete context, and no silent fallbacks.
Outcome traces, exception queues, quality and cost signals, release history, and a tested rollback path.
Tell us what enters the process, where it waits, which system owns the result, and who handles exceptions today.