ARTIFICIAL INTELLIGENCE INTEGRATION AND AUTOMATION
We do not entrust a task to a single model;
seven specialized agents supervise one another.
10noo Seven-Agent Control Architecture; prepares the request, verifies its feasibility and regulations, debugs it, tests it from different perspectives, improves it, and only implements it in enterprise systems after authorized decision.
01 / FROM WORK ORDER TO CONTROLLED ACTION
Each task enters the correct control chain
according to its priority and risk.
The system does not only generate content. It classifies the request, identifies the necessary data and tools, enforces authorization limits; in case of failed control, it stops, returns, or escalates to a human instead of proceeding.
02 / SEVEN EXPERT AGENTS
Not copies of the same intelligence, but
experts with separate duties and responsibilities.
Each agent's input, available tools, output, decision-making authority, and stopping condition are predefined. This separation reduces errors and strengthens auditability.
Preparation and Implementation Agent
Understands the request, identifies deficiencies, breaks down the work into subtasks; prepares the necessary data and resources and produces the initial solution.
- Output
- Work plan · requirement · initial implementation
- Stops
- If critical data or objective is missing
Datafication and Feasibility Agent
Tests the solution under technical, operational, data, performance, and cost conditions; eliminates assumptions that cannot be implemented.
- Output
- Applicability and risk report
- Stops
- If acceptance criteria are not met
Regulatory, Legal and Policy Agent
Checks usage limits according to KVKK, GDPR, industry legislation, contracts, licenses and internal policies.
- Output
- Compliance requirements · blocks · approves
- Stops
- If there is no authorization or legal basis
Debugging and Reliability Agent
Tests code, data, integration, logic, security and edge scenarios; reproduces the error and proves the correction.
- Output
- Test proof · error list · result
- Stops
- If critical test fails
Critical Perspective and Counter-argument Agent
Generates objections from user, management, customer, operation, and security perspectives; reveals unseen impact and alternative path.
- Output
- Weak points · counter-argument · alternative
- Stops
- If there is a high impact that is not resolved
Innovation and Revision Agent
Improves performance, experience, cost, and scalability without breaking the approved core; clearly shows the difference in change.
- Output
- Revised solution · before/after comparison
- Stops
- If revision creates new risk
Analysis and Result Agent
Combines all expert outputs, contradictions, evidence, and remaining risks into a single decision file; creates a publication recommendation.
- Output
- Final analysis · confidence level · recommendation
- Stops
- If evidence is contradictory or insufficient
03 / HUMAN APPROVAL AND AUTHORIZATION GATEWAY
Artificial intelligence makes recommendations;
the critical decision is made by an authorized human.
If it involves a financial transaction, personal data, contract, health, production stoppage, or an action that is difficult to reverse, the system does not proceed automatically. The authorized person sees the resources, expected impact, and reversal plan on the same screen.
- Approve, edit, reject, or refer to expert
- Visibility of source, reason, and impact
- Role and limit-based signature authority
- Immutable audit trail for decision, time, and version
04 / CORPORATE ACTION LAYER
A verified decision
transforms into controlled processing in the correct system.
Agents don't just talk. They create tasks, prepare documents, update records, send notifications, or initiate workflows through authorized APIs and tools. Every action result is re-verified.
05 / CONTINUOUSLY UP-TO-DATE AND REVERSIBLE
Staying current is not a promise;
it is a versioned and measured system.
Source, legislation, model, knowledge index, prompts, agent rules, and tool permissions are versioned separately. A new change is not deployed directly; it undergoes regression and security testing, is monitored, and rolled back if necessary.
Authorized Source with Date
Data whose owner, validity, and update time have been verified.
Separate Versions
Model, index, prompt, agent rule, policy, and tool permissions.
Regression and Security
Accuracy, authorization, intrusion, endpoint, and business process tests.
Controlled Release
Phased transition, human approval, and rollback point.
Live Monitoring
Success, rejection, failure, security event, and resource currency.
06 / APPLICATION AREAS
Not a single automation, but
a custom decision-making infrastructure specific to the institution.
The same control architecture is customized according to the sector's data sensitivity, regulations, human approval, and business tools.
Finance and Accounting
Document control, reconciliation, anomaly, reporting; human approval in monetary transactions.
Legal and Compliance
Source review, substance comparison, risk labeling; final decision rests with the legal expert.
Health
Closed-loop information access, process support, and record control; authorized human in clinical decision-making.
Logistics Operations
Demand, route, delay, inventory, and exception management; coordinated with the operations center.
Educational Institutions
Student, program, content, and administrative process support; role-based data access.
Manufacturing and Technical Service
Quality, maintenance, failure, and part lifecycle management; secure command and rollback.
10NOO DIGITAL · CONTROLLED AGENTIC AI