From AI to accountable work.
A prompt responds. UNOY OS processes a matter, with rules, knowledge, approvals, and an audit trail that traces every step.
This page explains how UNOY OS is structured, how work flows through it, and when managed delivery is the better path.
Core formula
Managed delivery. Co-build. Self-operate.
Three models
Which fits you?
Managed delivery
UNOY Delivery · Result delivered
Co-build
Co-build · with your team
Self-operate
UNOY OS · you build
02
Quick Orientation
What do you want to understand?
Four paths through the knowledge hub. Each with a concrete entry point and a recommendation.
01 · Architecture
UNOY OS · v3
What is UNOY OS?
Architecture and layers of UNOY OS. Where COIA sits, how governance operates.
02 · Pipeline
How does work flow through UNOY?
How you build a setup and run a matter through UNOY. Memory and learning loop included.
03 · Builder
Workflow Designer
How do you build with UNOY?
From idea to productive workflow: data, workflows, skills, COIA functions, releases.
04 · Knowledge Base
21 building blocks
Which building blocks are available?
All building blocks in detail: platform, workflows, nodes, skills, API, roles.
Prefer not to build yourself?
UNOY Delivery: you hand over matters, UNOY delivers results →03
Persona Router
Which perspective fits you?
Four typical roles, four paths. If none fits exactly, every path leads to a concrete matter.
P1 · SME CEO
"Get recurring work done without launching an AI project."
SME CEO.
No AI department, but recurring work: proposals, inquiries, documents, reviews.
P2 · Legal / GC
"Who is liable? Who reviews? Will this hold up before oversight?"
Legal Department / GC.
Playbooks, approvals, audit trail. Accountability with Skribe as delivery partner.
P3 · CEO / COO
"What does a matter cost? What does a pilot cost us?"
CEO / COO.
Cost structure, turnaround times, vendor dependency. Billed per matter, not per software seat.
P4 · IT & Governance
"Who used AI, in what way, with which approval?"
IT & Governance.
Kontrollierte Architecture, AI Usage Inventory, Risk Ratings, Approvals, Monitoring. Documented, not just policy.
P5 · Chamber / Association
"Does this scale to 100k members?"
Chambers & Associations.
Expert knowledge for many members, 24/7 services with audit trail.
P6 · Claims / Insurance
"Many cases, with robustness for edge cases."
Claims & Insurance.
Many cases, clear rules, AI within a framework with mandatory review.
Coming from IT or Governance? Architecture, certificates, AI providers and API documentation in a dedicated hub → IT Governance & Security
04
Three models
How would you like to get started?
Three models, one matter. You can start with one model and switch later.
Model 01 · Delivery
Assess your use case
Managed delivery.
You hand over matters. UNOY delivers the result. The fastest entry point, not the only end state.
Model 02 · Co-Build
Workshop · Day 1
UNOY + your team
First productive workflow
Co-build.
UNOY and your team build a first productive matter together. Knowledge transfer and later handover to self-operate are possible.
Model 03 · Self
Build-Workspace
Self-operate.
Your team builds workflows, skills and databases. UNOY OS is the platform; the domain logic comes from you.
The UNOY journey
You do not have to start with software. You can start with a result, and take over the system later.
04.01
COO / CFO Perspective
What a matter costs, and what it does not.
Implementing AI in-house is a project, with all associated costs: licensing, consulting, training, governance, build-out. UNOY bills per matter or at a flat rate. You pay for results, not for a project that may not deliver.
Time-to-Value
Weeks to the first approved matter, not quarters to the first pilot review.
Vendor risk
Vendor continuity, EU data residency and audit trail are documented, not merely promised.
Escalation costs
Per matter or flat rate, no time sheets, no hidden change requests.
In-house AI implementation
Project with uncertain ROI
- × Software selection, licensing costs, consulting
- × Team build-out or external developers
- × Training, change management
- × Own governance, own audit trails
- × Time-to-Value: Quartale, Vendor risk bleibt
UNOY Delivery
Per matter or flat rate
- ✓ Define the matter, hand over real cases
- ✓ Output with professional sign-off
- ✓ Audit trail and vendor continuity documented
- ✓ Existing systems connected, no new portal
- ✓ Time-to-value: weeks, billed per matter
“Hiring more people isn't sustainable. Billed per matter, not by the hour."
COO question from Reddit VoC · UNOY response
06
Topic clusters
Topics in the knowledge hub.
Four topic clusters, depending on your question. If you prefer not to build yourself, you will find the direct path to delivery below.
Cluster 01 · Market
Why UNOY is categorically different
Category & market.
Where UNOY sits among chatbots, copilots and workflow tools, and why it is something different.
Cluster 02 · Work model
How work flows through UNOY
Work model.
From setup to delivery: pipeline, memory architecture, and controlled learning loop.
Cluster 03 · Development
Build yourself with UNOY
Development.
Workflow designer, skills, databases, COIA functions, all building blocks for self-build.
Cluster 04 · Governance
Accountable to oversight bodies
Governance.
Audit trail, roles, EU data residency, DPA. The topics that steering committees and oversight bodies examine first.
Cluster 05 · Delivery
If you prefer not to build yourself: Assess your use case.
Define the matter · price per matter · delivery partner with professional accountability · SLA · handover to self or co-build.
07
Comparison
Why UNOY is more than an AI tool.
Four comparisons: versus chatbot, versus copilot, versus classic workflow automation, versus outsourcing. Each with a clear statement of what UNOY does differently.
Comparison 01 · vs. Chatbot
vs. Chatbot.
A chatbot responds. UNOY OS executes matters, with signature, audit trail, and approval.
Comparison 02 · vs. Copilot
vs. Copilot.
A copilot assists individual users. UNOY OS structures work across roles, workflows and approvals.
Comparison 03 · vs. Automation
vs. Workflow automation.
Classic automation follows rules. UNOY combines rules with AI, skills and knowledge.
Comparison 04 · vs. Outsourcing
vs. Outsourcing.
Outsourcing delivers work without a platform. UNOY Delivery delivers matters with audit trail and handover capability.
Detaillierte Comparisone: 8 Wettbewerber im Comparisonshub, ChatGPT, Claude, Copilot, Bryter, Harvey, Legora, Libra, Noxtua → Alle Comparisone im Detail
§ 08 · Next step
Which matter should run?
Knowledge is good. A real matter is better. Bring us a recurring task: an inquiry, a contract, a review, a claim, a report, a file, or a member service. We assess whether it should become a delivery matter, a co-build project, or a self-operated workflow.
Managed delivery · Co-build · Self-operate