03 / Start with your environment
Work with what
you already have.
Start with the systems your decisions depend on. Define the information to connect, the infrastructure to retain and the points where action requires explicit authority.
Connect the evidence.
Choose the records, documents and events required to answer one operational question. Define freshness and provenance before ingestion.
SQL · Warehouses · Documents · Object storage · Events · Streams · Files · Vector data · Telemetry · Reference data · Logs · Time series
Place the work deliberately.
Establish where transformations and evaluations may run. Capacity, latency and data movement are design decisions to validate.
Batch · Queries · Functions · Containers · Pipelines · Queues · Schedulers · CPU · GPU · Analytics · Transforms · Workers
Evaluate the model for the job.
Compare the task, permitted inputs, quality threshold and fallback. Evaluate model choices against those requirements.
Forecasts · Classifiers · Language models · Embeddings · Rules · Optimizers · Scoring · Anomaly models · Evaluations · Retrieval · Model endpoints · Human review
Meet the operation where it happens.
Identify where people plan, investigate and approve work. Any write-back needs a scoped interface and an acknowledgement.
ERP · CRM · Service desk · Maintenance · Planning · Inventory · Work orders · Dashboards · Internal tools · APIs · Notifications · Approvals
Set the deployment boundaries.
Review residency, networking, identity and operating ownership. Use these boundaries to evaluate a deployment design.
Cloud · Private network · Edge · On premises · Regions · Identity · Observability · Secrets · Storage · Networks · Recovery · Release process
Start with the interfaces, permissions and ownership required for your workflow.
04 / Understand decision architecture
A shared picture.
A coordinated response.
Explore how source information, operational context and accountable action fit together. Each layer has a job; each connection needs a defined boundary.
Your existing systems
Keep the source of truth visible. Preserve where information came from, how current it is and who owns it.
SQL: Records and transactional history. Connects to: Entities and source lineage.
Documents: Procedures and operational instructions. Connects to: Evidence and constraints.
Events: Changes that may require attention. Connects to: Operational context.
APIs: Explicit read and write contracts. Connects to: Scoped workflows.
ERP: Plans, orders and resources. Connects to: Dependencies.
Telemetry: Conditions reported from the operation. Connects to: Asset context.
Context and decisions
Relate events to the assets, orders, people and constraints they affect. Evaluate possible responses within an explicit policy and approval boundary.
Context: Entities and the dependencies between them. Connects to: Sources and operational views.
Decisions: Compare options against known constraints. Connects to: Models and operator review.
Policy: Define which information and actions require authorization. Connects to: Identity and approval.
Workflows: A sequence of work with owners and completion states. Connects to: Approved actions and feedback.
People and operational outcomes
Bring the relevant evidence and options to the person responsible. A useful application should make the next decision clearer, with an accountable route to action.
Investigations: Review the evidence behind a changed condition. Connects to: Context and source records.
Assistants: Finding relevant context and evaluating the resulting answer. Connects to: Permitted information.
Actions: Coordinate a reviewed response through an approved interface. Connects to: Workflow and acknowledgement.
Connect what already exists.
Start with the sources needed for one decision. Confirm ownership, access, freshness and supported interfaces before widening the scope.
Give each signal its context.
A delayed arrival may affect an order, a production slot and a customer commitment. Relationships make those consequences visible.
Build a shared operational picture.
Bring relevant entities, evidence and constraints into the same decision. Keep conflicting or stale information visible.
Compare options before acting.
Rules, analytics or models could support evaluation. Each needs explicit inputs, quality checks and a person accountable for the response.
Close the loop with an outcome.
After approval, an action needs an owner and an acknowledgement. Capture what happened so the next review starts with the result, not another disconnected alert.
05 / Put the picture to work
From a late shipment
to a considered response.
Follow the decisions around a changed arrival time. Identify the commitments it affects, compare the available responses and consider what to do next.
Signal / An inbound shipment slips.
A revised arrival time puts a scheduled delivery at risk. The alert is a starting point, not a recommendation.
Context / See what depends on it.
Connect the shipment to its order, receiving window and available stock. Flag any missing or outdated source before evaluating a response.
Intelligence / Compare the available responses.
In this scenario, holding the order or using another route are the options. Compare delivery commitments, capacity and cost; expose unknowns.
Decision / Put the choice with the operator.
Compare the evidence and constraints before selecting a response. A model suggestion does not authorize an operational change.
Action / Coordinate the approved response.
An approved instruction needs to reach its owner and receive an acknowledgement. Keep failed or incomplete requests visible for follow-up.
Feedback / Bring the result into the next review.
Compare the eventual delivery with the plan. Keep the decision and its outcome together; learning requires review, not an assumption that every action succeeded.