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UNOY Knowledge · Robust Expert Work

AI and clear processes. Working together.

UNOY combines AI with executable rules, knowledge and approvals. Your workforce can take on work while relevant decisions and results remain open to review.

Workflows preserve processes. Skills and databases hold knowledge. COIA coordinates execution. Approvals and records of work keep results open to review.

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Rules · Knowledge · AI · Governance · Result
COIA

Master Formula

Work in. Result out.

Rules Knowledge AI Governance Result

§ 02 · The AI Gap

What turns a task into a process.

Work requires suitable information, permissions, responsibilities and defined completion criteria. These requirements are configured for the workforce.

AI Response · no trace

Notice on Data Protection Request

"Dear Sir or Madam, we have reviewed your request and can confirm…"
No signature —:—
No record unknown

AI does not know who may decide.

No responsibility assigned, no mandatory check, no audit trail. An answer is produced regardless of who is accountable.

! Record missing

Contract Müller GmbH
Handler: ?
Status: ?

AI does not know your files.

Standard models have general knowledge, not your contract, your policy, your member data.

Model Versions

v Model A stable
v Model B drift
v Model C new
? Successor (planned) open

AI changes silently.

Models are replaced, prompts drift, outputs vary. Without a defined process, results are hard to compare.

AI alone responds. Robust expert work decides, documents and hands over.

§ 03 · The Rule Gap

Where AI supports execution.

AI can interpret different documents, prepare information and propose next steps. Workflows define required checks, handovers and approvals.

RPA Workflow · Run #2451

Email Classification

✓ Intake recognised
✓ Mandatory field checked
! ERROR: Letter unstructured
— Draft response
— Obtain approval

Rules do not understand language.

Classification, meaning extraction and language comprehension are hard to cover with fixed if-then rules alone, for example with unstructured emails.

Notice · #1287

Approved

Reasoning: [empty]
Oversight: ?

Rules justify nothing.

They execute but do not explain. Clients, regulators and audits need justifications, not code paths.

Rule Maintenance · Q2/2026

Claims Classification

Base rules 42
Special cases Q1 +38
Special cases Q2 +74
Conflicts 12
Maintenance effort ↑ 280%

Rules break under special cases.

Every new variant requires a new rule. Maintenance effort grows with every exception.

Pure rules execute. Robust expert work reads, writes and reasons.

§ 04 · The UNOY Synthesis

AI alone is too free.
Pure rules are too rigid.
UNOY combines both.

Accountable expert work does not arise from a single tool. It arises when four layers work together: rules carry the logic. Knowledge carries the content. AI supports interpreting, preparing and drafting. Governance defines responsibilities and approvals. UNOY OS connects these four layers in one system.

AI Alone

Free. Fast. Non-binding.

Pure Rules

Stable. Auditable. Mute.

UNOY

Free. Stable. Accountable.

§ 05 · Layer 1 · Rules

Reuse established processes for further cases.

Workflows preserve agreed steps and rules. This supports reuse and review. A deterministic process alone guarantees neither correct inputs nor a correct professional result.

Matter · GDPR Access Request

From letter to verified response.

Step sequence, mandatory fields, sources and approvals are defined in the workflow before a matter starts. Once the access request arrives, it runs against this definition: what must be checked, who approves, what is recorded in the audit trail. AI supports where documents are interpreted and texts are drafted.

Model interchangeable, process defined. A model change requires professional regression tests.

Workflow · GDPR Access Request Run #2451 · running
1 Capture intake · classify email + attachments 14:32:08
2 Check mandatory data · client, deadline, responsibility 14:32:14
3 Query member database · all relevant data 14:32:18
4 AI drafts response · with RAG sources, in house style running · 4s
5 Approval Role: Data Protection Officer —
6 Output · record audit trail —

§ 06 · Layer 2 · Knowledge

Skills, RAG and databases: your knowledge.

Standard models know the world. UNOY brings your world into play, in three ways: as reusable skills, as citable RAG sources, as structured facts.

Skill Library

v3.2 GDPR Check
v2.1 Flight Delay Classification
v1.8 ESG-Assessment
v1.0 Contract Clause Review
+ active in several workflows

Skills: reusable domain logic.

Defined once, usable in suitable further matters. Versioned and auditable.

RAG Sources · § 4 Access

PDF GDPR Art. 15 (p. 32)
PDF Internal Access Policy v4
DOC Template Response Müller AG
“Obligation to respond within 30 days of receipt...” [3 sources]

RAG: citable knowledge base.

Contracts, legal texts, internal memos: directly in the matter with source reference. Answers refer to the sources used.

Member DB · sample data

MemberPolicyDeadline
Müller GmbHP-284714 d.
Example AGP-291242 d.
Sample KGP-305589 d.
Demo LtdP-3187127 d.

Databases: structured facts.

Members, policies, deadlines, order data: readable, writable and verifiable inside the workflow. Structured data reduces errors but does not replace professional review.

§ 07 · Layer 3 · AI Within Bounds

AI helps shape the work. COIA coordinates execution.

Claude can operate UNOY and COIA and help build and improve workflows. COIA uses approved capabilities and returns results. People define goals, permissions and required approvals.

COIA · classification running Model · v2.1
1 Email in Workflow
2 COIA classifies · access / complaint / correction AI
3 Check mandatory data Workflow
4 COIA drafts notice · with RAG sources AI + RAG
5 Approval by role DPO Workflow
6 Output · audit trail Workflow

Matter · Orchestration

Clearly separated: what AI does, what the workflow does.

AI supports classifying, drafting and reasoning. Mandatory checks, roles, records of work and handovers are defined by the workflow.

A model change does not alter the defined process, but requires professional regression tests.

People define goals, permissions and required approvals.

§ 08 · Layer 4 · Governance

Governance turns AI output into a decision someone can be accountable for.

Traceability is part of the matter. Steps, sources and approvals are recorded within the agreed scope.

Roles · Matter #2451

H Handling
A Approval
R Review

Roles & approvals.

Who may view, edit, approve? Four-eyes principle can be set up in the workflow.

Audit-Trail

14:32:08
H · Intake recorded
14:32:14
COIA · Classified
14:42:51
A · Approved

Audit-Trail.

Steps with timestamp, actor, source and model version. Traceable.

Data Residency

EU
Frankfurt / Vienna
High availability
✓ Data protection agreed
✓ AES-256 / TLS 1.3
✓ No model training

EU data residency.

Data in EU data centres. Encrypted at rest and in transit. No training use.

Learning Loop · Q2/2026

Corrections 47
Adopted 38
Skill v3.2 → v3.3 approved
Learning without model training

Learning loop.

Corrections flow into skills and templates: controlled, with version record.

§ 11 · Next Step

Work in. Result out.

Bring recurring work. Together we review which building blocks apply and which approach fits.

Explore Service → See how it works Have it tailored