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01 / Advanced Technology Solutions

AI Layer

A decision layer that explains production evidence, proposes a response and acts within an approved boundary

Decision question 01

What evidence explains a production deviation before anyone acts?

Evidence
Live transactions + approved enterprise sources
Decision owner
Authorized operational or management role
Boundary
Defined data access, approval step and audit record
  1. Collect evidence
  2. Review recommendation
  3. Act with authorization

Decision scope

Define the decision before selecting the model

The argemas AI Layer evaluates manufacturing data exposed through the integration layer together with approved enterprise sources for a defined decision question.

Users can inspect the evidence behind a recommendation. Only authorized roles can initiate work orders, maintenance requests or plan changes through the configured approval path.

01 / Decision question

Ask production questions in natural language

Users can query operational data without searching through multiple reports and dashboards.

  1. Why did productivity fall today?
  2. Which orders are at risk of delay?
  3. Which operation has the most critical bottleneck?
  4. Why did the scrap rate increase?
  5. Which machine fails most often?
  6. Will we meet this month's production target?
  7. What is the most suitable production plan?
  8. Which operators need additional training?

02 / Evaluation

From operational data to a recommended response

  1. Analyzes data
  2. Identifies trends
  3. Produces forecasts
  4. Detects risks early
  5. Evaluates production performance
  6. Analyzes quality problems
  7. Optimizes operations
  8. Recommends actions to managers

03 / Authorization

Governed workflow actions

Configured roles, data permissions and approval rules determine which actions are available.

  1. Create work orders
  2. Initiate purchase requests
  3. Open maintenance requests
  4. Update production plans
  5. Optimize operation assignments
  6. Prepare reports automatically
  7. Send notifications
  8. Start approval workflows
  9. Automate repetitive processes

Control boundary

Critical operations are governed by role-based authorization, configured approval steps and traceable transaction records.

04 / Sources

Grounded in approved enterprise sources

Responses can use authorized, indexed documents and operational history alongside current transaction data.

  1. Use enterprise documents
  2. Interpret work instructions
  3. Apply quality procedures
  4. Draw insight from production history
  5. Improve through user feedback
  6. Incorporate new information sources

05 / Measurement

Operational measures to track

  1. Time required to reach a decision
  2. Traceability of cited evidence
  3. Deviation detection lead time
  4. Forecast accuracy
  5. Automated and approved transaction count
  6. Planned-versus-actual production variance
  7. Error and rework rate
  8. Time to retrieve enterprise knowledge
  9. Recommendation approval rate

Next decision

Start with one defined production decision

Choose a measurable decision or workflow, identify its data sources and define the approval boundary before selecting the model.

Discuss the use case