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AI as an assistant

Intelligent support. Transparent control.

secondFactory deliberately separates deterministic process logic from AI support. Rules and code control well-defined workflows. AI helps with unstructured data, search, recognition, suggestions and problem analysis. Important decisions remain with people.

Staff review technical proposals and data

Code controls processes

Status changes, permissions, approval gates, mandatory steps and defined business logic remain deterministic.

AI

AI understands unstructured data

Emails, documents, images, drawings and free-form information can be analyzed and structured.

✦

AI makes suggestions

Clarification requests, assignments, optimization ideas, geometry or planning support remain recognizable as suggestions.

✓

People decide

Expert approvals, prices, technical responsibility and critical steps are not silently decided by the AI.

Human-in-the-Loop

Every important step can be a controlled gate.

01System analyzesFacts, rules, uncertainties.
02Proposal is createdWith sources and rationale.
03Human reviewsCorrect or add.
04ApprovalBased on roles and permissions.
05Process continuesDecision is logged.
The control principle

The system prepares. Your team reviews and approves.

Human-in-the-Loop: the system prepares, a human reviews and approvesThe system handles steps 1 to 3: capturing data, processing it, flagging uncertainties. In steps 4 and 5, a human reviews, corrects and approves. Then the process continues. Corrections feed back as rules and standards; relevant actions can be logged.SYSTEM · AUTOMATION & AIHUMAN · EXPERT01Datacapture02Systemprocesses03Uncertaintyflag04Humanreviews05Correct /approve06ProcesscontinuesCorrections feed back as rules and standardsLOGWho reviewed, changed or approved what? Relevant actions can be logged traceably.Human-in-the-Loop: the system prepares, a human reviews and approvesThe system handles steps 1 to 3: capturing data, processing it, flagging uncertainties. In steps 4 and 5, a human reviews, corrects and approves. Then the process continues. Corrections feed back as rules and standards; relevant actions can be logged.01DatacaptureSYSTEM02SystemprocessesSYSTEM03UncertaintyflagSYSTEM04HumanreviewsHUMAN05Correct /approveHUMAN06ProcesscontinuesSYSTEMLOGWho reviewed, changed orapproved what? Logged traceably.Corrections feed back as rulesand standards
Human-in-the-Loop: checkpoints and approval points stay with people, corrections feed back.

Transparent intermediate steps

Recognized data, assumptions, open issues, versions and results remain visible.

Approvals where they matter

Quote, technical geometry, CAM program, quality decision or shipping can have targeted approval points.

Local AI possible

If desired, models can run locally or in your own infrastructure; sensitive data does not have to leave the company.

AI only where it helps

Deterministic process logic and code control clearly defined workflows; AI is used where flexible interpretation delivers real value.

Exceptions instead of routine

Staff mainly see the cases involving uncertainty, conflicts or real decisions.

Auditable

Who reviewed, changed or approved what? Relevant actions can be logged traceably.

AI as a tool

Less routine. Your team stays in control.

AI analyzes, makes suggestions, human reviews, production runs
Graphic: AI analyzes → suggestions & open issues → human reviews → production runs.
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Local AI / your own LLM

If desired, AI can run in the customer environment or a private cloud.

⌕

Sources instead of hallucination

Recognized values can refer back to document pages and source locations.

⚠

Errors stay visible

Failed steps are saved, made repeatable and not disguised as success.

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