During production
An operator opens a production stage.
The system shows
- The related work instruction
- The required checks
- The procedure for the equipment
Operational Knowledge AI
Turn operational knowledge into answersyour team can act on.
INVO connects procedures, AS9100, machine manuals, work instructions, client requirements and internal documentation with production context, so people find the right answer exactly when they need it.
Question
What do I do if the cure temperature on this batch falls outside the required range?
- Batch #28491
- Line 3
- Program A
INVO AI
Based on
- SOP-QA-14Procedure
- AS9100 #08Procedure
- Airframe shellProduct specification
Recommended next steps
- 1 Hold the batch.
- 2 Record the measured temperature.
- 3 Notify quality.
- 4 Start the matching corrective action procedure.
Sources: 3
- Open the procedure
- Create a quality incident
The problem
Your team knows a great deal. The trouble startswhen nobody knows where to look for it.
Critical operational knowledge is usually scattered across PDFs, shared drives, notes in the system, messages and the experience of specific people.
Procedures
SOPs, AS9100 and quality procedures.
Machines
Operating manuals, service instructions and equipment settings.
Production
Bills of materials, work instructions and execution procedures.
Clients
Contract requirements, variant rules and quality standards.
People
What technologists, operators, supervisors and other experts know.
INVO brings these sources into one operational knowledge layer.
Connected knowledge
One knowledge layerfor the whole operation.
- SOPs
- AS9100
- Machine manuals
- Bills of materials
- Work instructions
- Quality procedures
- Client requirements
- Supplier specifications
- Training material
- Internal policies
- Contracts
- Past incidents
INVO knowledge layer
- Production
- Quality
- Service
- Design engineering
- Purchasing
- Leadership
The same AI layer can draw on documents and on INVO operational data to understand the context of a question.
Ask INVO
Ask operational questionsin plain language.
- Production supervisor Which procedure applies when Line 3 stops during the cure cycle?
- Quality manager Show the corrective action procedure for a temperature variance on this product.
- Design engineer What restrictions apply to the EO/IR variant for Program A?
- Service technician How do I reset this machine after error E-204?
- Purchasing Which quality requirements apply to Airframe shell from this supplier?
- Leadership Which procedures changed in the last 30 days?
Every answer points to
- the source
- the document date
- the version
- the relevant passage
- the related process or record
Operational context
The right answer depends on wherein the process you are standing.
The user is in
- Batch
- #28491
- Product
- Airframe shell
- Line
- 3
- Stage
- Cure cycle
- Client
- Program A
What should I do now?
INVO uses the context
- product
- client
- production stage
- machine
- quality status
Recommended procedureSOP-QA-14
Applies to
- Carbon-fiber parts
- Cure cycle
- Program A quality requirements
Knowledge becomes far more useful once the system knows the process context the question was asked in.
Knowledge in the workflow
Don't make people hunt for instructions.Show the right knowledge where the work happens.
During quality control
A quality specialist opens a variance.
The system shows
- The corrective action procedure
- The related AS9100 rule
During service
A technician opens a machine alarm.
The system shows
- The relevant passage of the manual
- A similar incident from history
- The approved service procedure
Knowledge appears exactly where the process is being carried out.
Document intelligence
Turn static documentsinto usable operational knowledge.
- 01
Summarize
Cut a long procedure down to its key steps.
- 02
Extract
Pull out parameters, thresholds, responsibilities, required checks, deadlines and product requirements.
- 03
Compare
Compare two versions of a document and show what changed.
- 04
Classify
File a document under quality, production, maintenance, a client, a supplier or a machine.
- 05
Link
Link a document to a product, bill of materials, machine, client, supplier or process stage.
- 06
Notify
Tell the right teams when a critical procedure changes.
Expert knowledge
Keep the know-howinside the organization.
A senior technologist writes
“On this frame we slow the cure ramp once the second rack goes in, because above an 80 kg oven load the parts cure unevenly.”
AI can
- 01 save it as a draft
- 02 link it to the bill of materials, process or machine
- 03 propose a work-instruction structure
- 04 route it for approval
- 05 share it with other users once approved
AI can help record knowledge, but only approved information reaches the official operational knowledge base.
AI training assistant
Turn operational knowledgeinto role-based training.
From plant knowledge, AI can generate:
- onboarding
- short work instructions
- quizzes
- checklists
- role-specific material
New assembly technician
Training — day 1
- 1 Assembly cell basics
- 2 ESD procedure
- 3 Serial number check
- 4 Export-control flag handling
- 5 Escalation procedure
Explain this procedure in simpler language.
Governed knowledge
Every answer should rest onthe right version of the information.
- Document version
- v4.2
- Effective from
- 1 September 2026
- Owner
- Quality department
- Status
- Approved
- Applies to
- Program A · carbon-fiber parts
- Previous version
- Archived
The system should prefer
- approved documents
- current versions
- sources the user is allowed to see
- knowledge specific to that client, process and site
Answers you can check
Every answer that mattersshould lead back to a source.
Answer
Hold the batch and notify quality before the process continues.
Sources
- SOP-QA-14 · v4.2Section 6.3
- Program A quality standardSection 12
- AS9100 procedure #08Corrective actions
- Open the source
- See the context
The user can verify the answer instead of treating AI as an unquestionable source of truth.
How it works
From documents and operational datato an answer backed by sources.
01 · Connect
INVO connects
Documents · system data · MES context · bills of materials · machines · clients · quality data
02 · Understand
The system indexes content and its meaning
It knows SOP-QA-14 belongs to: Quality → Cure cycle → Carbon-fiber parts
03 · Retrieve
The most relevant sources are found
Based on the question and the context the user is working in.
04 · Answer
The model writes the answer
It draws only on the retrieved sources and shows the user where the information came from.
Models & technology
The language model is the interface.Your knowledge provides the answer.
- Knowledge sources
- Semantic representations
- Retrieval
- RAG
- Answer backed by sources
Semantic representations
What does this document actually mean?
Documents and their passages are converted into semantic representations, so the system can search by meaning rather than exact wording.
Embedding models
Retrieval
Which information matters for this question?
The system finds the right passages from the question and the context: user, product, machine, process and client.
Semantic search · Hybrid search
RAG
How is the answer kept to the right knowledge?
The retrieved source passages go to the language model together with the user's question. The model answers from that context.
Retrieval-augmented generation
Language model
How does a person talk to the knowledge?
The language model interprets the question and produces a readable answer, summary or explanation.
Large language models
Permissions & governance
Which knowledge is this user allowed to see?
Search and answers respect role, organization, client, department and document permissions.
Access control
AI should not bypass the access rules that already apply to the source knowledge.
Knowledge gaps
See what the organizationhas not documented well yet.
- 17 users asked about procedure X. No approved document exists.
- Operators keep looking for the machine reset instruction, but only an outdated version is available.
- Machine
- Oven 04
- Topic
- Reset after error E-204
- Questions in the last 30 days
- 28
- Approved instruction
- None
Recommended action
Create the procedure
Knowledge changes
See what changedwithout rereading the whole document.
AI summary3 significant changes
- 1 Responsibility for temperature control moved from production to quality.
- 2 A new verification step was added before final assembly.
- 3 Reporting time was cut from 60 to 30 minutes.
- Products
- 4
- Lines
- 2
- Users
- 18
Review the changes
Business impact
Make operational knowledge availableexactly when it is needed.
- Search time ↓
Less time spent looking for information
Operators and supervisors no longer dig through folders and PDFs.
- Expert dependency ↓
Less reliance on individual people
Capture and share approved know-how.
- Onboarding time ↓
Faster onboarding for new staff
Make procedures easier to find and to understand.
- Process consistency ↑
More consistent execution
Everyone works from the same approved instructions.
- Compliance ↑
Work based on current procedures
The system prefers the effective, approved versions.
- Response time ↓
Faster reaction to operational problems
The right procedure is available immediately.
Operational Knowledge AI
Make operational knowledge available to everyone who needs it —without losing control of its source.
See how INVO connects procedures, instructions, bills of materials, quality documentation and operational context to deliver fast, source-backed answers inside the processes your teams already use.