01 / 08EVENT
A new document arrives
Field study notes
- Source document received
- Original retained
- Ready to review
Received
A research document starts the work. The original stays available throughout.
WORKFLOW AUTOMATION
Engineer the system between your applications, people and decisions.
Stacx24 redesigns recurring operational processes and connects the software, data, rules and people required to make them work reliably.
Start with the process that keeps breaking. We map it before we automate it.
ILLUSTRATIVE WORKFLOW
Twenty-second silent sample with on-screen text: focused AI agents; connected applications and workflow automation; sensors, edge processing and telemetry; human approval and measurable outcomes.
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THREE LEVELS
From a connected task to an operating system.
Most automation stops at level one. Each level adds components, and with them rules, exception handling, human judgement and observation. We engineer at the level the operation needs.
Trigger connected directly to an action.
01Task Automation
2 COMPONENTS
ONE TRIGGER → ONE ACTION
A form submission creates a record. A file arrives and is renamed. Useful, fast to build, and fragile the moment the input is not what was expected.
- EXCEPTIONS
- FAIL SILENTLY
- HUMAN
- NOT INVOLVED
- OBSERVATION
- NONE
App A to rules to app B; data handed off asynchronously to a person.
02Workflow Automation
5 COMPONENTS
SEVERAL SYSTEMS → RULES → HANDOFFS
Several applications connected through rules, with handoffs between teams. Work moves without re-keying. Exceptions start to need a place to go.
- EXCEPTIONS
- ROUTED BY RULE
- HUMAN
- HANDOFF ONLY
- OBSERVATION
- RUN LOGS
Incoming signals enter an intelligent system containing AI, rules and decisions. It exchanges information with existing applications. Routine decisions go directly to action; when additional confirmation or approval is needed, a human decides before action. The system, applications and actions connect with Observer and Data, with feedback between applications, observation and stored data.
03Intelligent System
8+ COMPONENTS · OBSERVED
SOFTWARE + AUTOMATION + AI + PEOPLE + MONITORING
The whole path from event to outcome, engineered as one system. AI where judgement can be modelled, people where it cannot, and monitoring over all of it.
- EXCEPTIONS
- ESCALATED TO AN OWNER
- HUMAN
- APPROVES WHERE IT MATTERS
- OBSERVATION
- CONTINUOUS
COMPLEXITY →CAPABILITY · RELIABILITY · ACCOUNTABILITY →
OUR APPROACH
Connecting apps is not the same as improving operations.
The workflow is understood before it is automated.
Workflow automation, operations automation and AI integration delivered as one engineering engagement, not three products.
UNDERSTAND & REDESIGN
01 · MAPTriggers, steps, owners, systems, waits, exceptions.- 02 · REDESIGNRemove steps, move decisions, define the handoffs.
CONNECT & OBSERVE
03 · CONNECTIntegrate the systems that carry the redesigned flow.- 04 · OBSERVEMeasure the waits that were removed, and the ones that remain.
An integration moves data between two places. An operation is a sequence of triggers, decisions, handoffs and exceptions, carried out by people under time pressure. Automating it without understanding it makes the existing problems faster.
So we map the process first: where work waits, where it is re-keyed, where it is decided, where it fails. Then we redesign the sequence, and only then connect the systems to carry it.
ARCHITECTURE
Eight stages. The same shape for every workflow.
Whether the process is a vendor dispatch or a client report, the system is built from the same stages. Validation stops bad input early. AI and rules share one stage, chosen per decision. Approval sits before action, and observation runs over the whole path.
Intake
TRIGGER
A form, message, record change, schedule or signal.
COLLECT CONTEXT
Pull the related records from the systems that hold them.
VALIDATE
Check completeness and permissions. Stop early if wrong.
Decision desk
Within approved rulesWhen confirmation is needed
PROCESS
Transform, enrich, calculate. Deterministic work.
AI / RULES
Rules where the logic is known. AI where it must be judged.
HUMAN APPROVAL
A named person approves consequential steps.
Delivery
ACTION
Update, notify, create, dispatch. Logged.
OBSERVE
Run time, exceptions, waits and outcomes measured.
Observation covers Intake, Decision desk and Delivery.
COMMON SYSTEM ENVIRONMENTS
We work inside the systems you already run.
The system is engineered around your environment. These are the kinds of components we commonly connect; names are examples of category, not partnerships.
Hover a system to see what it shares. Click to gather. Esc to scatter.PRODUCT NAMES ARE THE PROPERTY OF THEIR OWNERS AND INDICATE CATEGORY ONLY. NO PARTNERSHIP IS IMPLIED.
CORE SYSTEM MODEL
The system is the product. Technology is a component.
- Not every step needs AI.
- Some need rules.
- Some need software.
- Some need edge processing.
- Some need people.
We engineer the right combination.
Research assistance
IN THE OPERATION
A document arrivesFrom the research team
02 / 08CONTEXT
Bring the background together
Document + background
- Source details attached
- Related records found
- Approved labels loaded
Context attached
Existing records, source details and the approved label list give the document context.
03 / 08PROCESSING
Check the details first
Document checks
- Duplicate check complete
- Required details present
- Text ready for review
Checks complete
Software checks for duplicates and missing information before any AI suggestion.
04 / 08INTELLIGENCE
Suggest a label, within scope
Suggested label
- Field study
- Supporting passage highlighted
- Awaiting researcher review
Suggestion only
AI proposes a label from the approved list. It cannot publish the label itself.
05 / 08DECISION
A researcher makes the decision
Label review
- Source passage checked
- Suggested label reviewed
- Field study approved
Reviewed by researcher
The researcher reads the supporting passage and approves or corrects the suggestion.
06 / 08ACTION
Update the research record
Research record
- Label: Field study
- Source linked
- Review retained
Saved to record
Only the approved label enters the record, alongside its source.
07 / 08OBSERVATION
Record what actually happened
Activity record
- Suggestion recorded
- Reviewer decision recorded
- Save confirmed
Outcome recorded
The system records the suggestion, the review and the saved result so the team can inspect them.
08 / 08IMPROVEMENT
Review the labelling rules
Next-cycle guidance
- Review corrections
- Agree guidance changes
- Use approved guidance next time
Feedback to the next event
The team reviews corrections and agrees changes to the guidance before the next document.
Each outcome informs the next cycle.
- 01 · EVENTA new document arrives
A research document starts the work. The original stays available throughout.
- 02 · CONTEXTBring the background together
Existing records, source details and the approved label list give the document context.
- 03 · PROCESSINGCheck the details first
Software checks for duplicates and missing information before any AI suggestion.
- 04 · INTELLIGENCESuggest a label, within scope
AI proposes a label from the approved list. It cannot publish the label itself.
- 05 · DECISIONA researcher makes the decision
The researcher reads the supporting passage and approves or corrects the suggestion.
- 06 · ACTIONUpdate the research record
Only the approved label enters the record, alongside its source.
- 07 · OBSERVATIONRecord what actually happened
The system records the suggestion, the review and the saved result so the team can inspect them.
- 08 · IMPROVEMENTReview the labelling rules
The team reviews corrections and agrees changes to the guidance before the next document.
Everyday operations
IN THE OPERATION
A request arrivesFrom the operating team
01 / 08EVENT
A request starts the work
New work request
- Request received
- Source application linked
- Handoff opened
Received
An incoming request starts a handoff between the tools your team already uses.
02 / 08CONTEXT
Attach the details once
Request background
- Existing record attached
- Current state checked
- Owner identified
Context attached
The system brings together the request, existing records and its responsible owner.
03 / 08PROCESSING
Let the rules route the work
Connected applications
- Request inbox → work queue
- Required details checked
- Work queue → owner workspace
Handoff prepared
Defined rules check the request and pass its details between connected applications.
04 / 08INTELLIGENCE
Rules are enough here
Routing rule
- A required detail is missing
- Exception route selected
- Named owner notified
No AI needed
This example needs no AI decision. Defined rules identify an exception and send it to its owner.
05 / 08DECISION
The owner resolves the exception
Exception review
- Exception opened
- Missing detail supplied
- Owner confirms next step
Reviewed by owner
A named person supplies the missing detail and confirms that the work can continue.
06 / 08ACTION
Complete the handoff
Completed handoff
- Confirmed details transferred
- Next application updated
- Owner notified
Handoff complete
The confirmed information reaches the next application and the work continues.
07 / 08OBSERVATION
Keep the outcome visible
Activity record
- Exception recorded
- Resolution recorded
- Handoff confirmed
Outcome recorded
The system records completion and exceptions so the team can see what happened.
08 / 08IMPROVEMENT
Review the handoff rules
Next-cycle guidance
- Review recurring exceptions
- Agree routing changes
- Apply approved rules next time
Feedback to the next event
The team reviews repeated exceptions and approves rule changes for future requests.
Each outcome informs the next cycle.
- 01 · EVENTA request starts the work
An incoming request starts a handoff between the tools your team already uses.
- 02 · CONTEXTAttach the details once
The system brings together the request, existing records and its responsible owner.
- 03 · PROCESSINGLet the rules route the work
Defined rules check the request and pass its details between connected applications.
- 04 · INTELLIGENCERules are enough here
This example needs no AI decision. Defined rules identify an exception and send it to its owner.
- 05 · DECISIONThe owner resolves the exception
A named person supplies the missing detail and confirms that the work can continue.
- 06 · ACTIONComplete the handoff
The confirmed information reaches the next application and the work continues.
- 07 · OBSERVATIONKeep the outcome visible
The system records completion and exceptions so the team can see what happened.
- 08 · IMPROVEMENTReview the handoff rules
The team reviews repeated exceptions and approves rule changes for future requests.
Connected fields
IN THE OPERATION
A field reading arrivesFrom a connected sensor
01 / 08EVENT
A sensor reads the field
Incoming field reading
- Sensor reading received
- Field identified
- Reading time attached
Received
A new field reading starts the cycle, connecting conditions on the ground to the system.
02 / 08CONTEXT
Put the reading in context
Field background
- Field history attached
- Recent readings loaded
- Current conditions attached
Context attached
Field history and recent conditions help the team interpret the new reading.
03 / 08PROCESSING
Check the signal near the field
Edge processing
- Local checks run
- Incomplete readings flagged
- Relevant readings forwarded
Local checks complete
Local edge checks validate readings before relevant information reaches the monitoring application.
04 / 08INTELLIGENCE
Prepare a suggested response
Response proposal
- Field context considered
- Suggested response prepared
- Sent for agronomist review
Suggestion only
The system uses the checked information to propose a response within its defined scope.
05 / 08DECISION
The agronomist reviews
Agronomist review
- Conditions reviewed
- Proposal checked
- Response approved
Reviewed by agronomist
The agronomist checks the proposal and approves or adjusts it before it reaches the operator.
06 / 08ACTION
Send the approved proposal
Operator work item
- Approved proposal attached
- Instructions available
- Delivered to operator
Ready for the operator
The approved proposal reaches the operator with the instructions they need.
07 / 08OBSERVATION
Keep watching the conditions
Field activity record
- New readings recorded
- Operator reports attached
- Outcome ready for review
Observation continues
New readings and operator reports help the team understand what happened next.
08 / 08IMPROVEMENT
Review the next field cycle
Next-cycle guidance
- Review field observations
- Agree guidance changes
- Use approved guidance next time
Feedback to the next event
The agronomist reviews the observations and agrees guidance for the next cycle.
Each outcome informs the next cycle.
- 01 · EVENTA sensor reads the field
A new field reading starts the cycle, connecting conditions on the ground to the system.
- 02 · CONTEXTPut the reading in context
Field history and recent conditions help the team interpret the new reading.
- 03 · PROCESSINGCheck the signal near the field
Local edge checks validate readings before relevant information reaches the monitoring application.
- 04 · INTELLIGENCEPrepare a suggested response
The system uses the checked information to propose a response within its defined scope.
- 05 · DECISIONThe agronomist reviews
The agronomist checks the proposal and approves or adjusts it before it reaches the operator.
- 06 · ACTIONSend the approved proposal
The approved proposal reaches the operator with the instructions they need.
- 07 · OBSERVATIONKeep watching the conditions
New readings and operator reports help the team understand what happened next.
- 08 · IMPROVEMENTReview the next field cycle
The agronomist reviews the observations and agrees guidance for the next cycle.
Read the complete system model
- EVENT
Something happens in the operation.
- CONTEXT
Records, history and state are attached.
- PROCESSING
Rules, software and integrations do the deterministic work.
- INTELLIGENCE
One bounded AI component, where judgement can be modelled.
- DECISION
A named person decides where it matters.
- ACTION
Something changes in the world.
- OBSERVATION
Telemetry and monitoring record what happened.
- IMPROVEMENT
The loop feeds back into the next event.
Related work
photo: operations team at work, real environment
Operational Automation
Routine operational handoffs connected across applications, with validation at intake, rules for routing, and exceptions routed to the people who own them.
APPLICATION · RULES ENGINE · API · ACTION · HUMAN
NEXT STEP
What recurring operation should work better?
Describe the process as it runs today. We will map where it waits, where it breaks, and what the system should become.
Analyse an Operational System
No technical specification required. Start with the process as it runs today.