Engineering
From recommendation to production.
Picologic does not build isolated AI demos. We build production systems that work with existing business processes, enterprise software, APIs, data sources and technical infrastructure.
A business requirement becomes a reliable solution, from architecture and prototype through monitored production operation.
Business email
AI agent
CRM / ERP
Workflow
Document generation
Review
Company knowledge
AI agent
Business rules
External APIs
Action
Log
We connect systems
Many companies already have the necessary data and applications. What is missing is a secure connection between the individual components.
AI agents
Workflow automation
API and interface solutions
Custom business software
CRM and ERP integrations
Document and data processing
Email and communication processes
Cloud and server infrastructure
Edge computing and IoT
Sensors and connected devices
We decide technology-neutrally whether classic automation, custom software or an AI system is the economically and technically most sensible solution.
How a production AI agent works
An AI agent does not work in isolation. It needs controlled access to information, tools and business rules.
- 1Capture information from emails, documents or business systems.
- 2Analyze content and context.
- 3Consider internal data and company knowledge.
- 4Apply defined business rules.
- 5Use external APIs, CRM or ERP systems.
- 6Create documents, tasks or business transactions.
- 7Submit critical decisions to a human for approval.
- 8Log every relevant action in a traceable way.
This turns a language model into a controllable part of a real business process.
The XvX agent flow
XvX turns an unstructured request into a controlled, traceable engineering process. Specialized agents contribute at clearly defined stages instead of acting as an opaque all-purpose system.
Input
CHAOSFRAME
Approval
NEXUS
VECTOR
FORGE
FRAME
Audit
1
Task Inbox
Requests arrive through chat, email, GitHub or APIs and are stored with their source and context.
2
CHAOSFRAME
Analyzes and normalizes the request, resolves structure and prepares it for review.
3
Human approval
Critical or incomplete tasks are reviewed before execution.
4
NEXUS
Understands the problem, dependencies, risks and the current state.
5
VECTOR
Defines the target state and measurable acceptance criteria.
6
FORGE
Plans and performs the technical implementation, tests and documentation.
7
FRAME
Shapes the interface, user flow and presentation of the result.
8
Audit trail
Tests, decisions, commits and results remain traceable.
The result is a Codex-ready task that can be executed reproducibly without losing human control.
Workflow automation
We automate recurring workflows across existing system boundaries.
Humans remain involved where responsibility, specialist knowledge or a binding decision is required.
- Classify and assign incoming business emails
- Synchronize data between CRM, ERP and other applications
- Generate offers, reports and other documents
- Extract and verify information from documents
- Map approval and review processes
- Create and track tasks automatically
- Connect external services through APIs
- Document and log processes completely
Connected systems, edge and IoT
Picologic connects software not only with other applications, but also with the physical world.
Sensors, edge devices and local systems can capture data, process it on site and transfer it to central platforms in a controlled way. Conversely, approved business actions can control technical systems and devices.
Sensor
Edge device
API
Cloud
AI analysis
Business action
Monitoring of technical systems
Energy and consumption analysis
Predictive maintenance
Secure remote control
Connecting AI agents with real infrastructure
Central analysis of distributed systems
Security and control
Production automation needs more than a working prototype.
Roles and permissions
Controlled system access
Approvals for critical actions
Logging and audit trails
Data protection and data minimization
Error handling and defined fallback paths
Monitoring of availability, cost and quality
Local, cloud-based or hybrid operating models
Every automated action must remain technically traceable and organizationally accountable.
From idea to production system
1
Understand the process
We capture the existing workflow, involved people, systems, data and exceptions.
2
Evaluate value and feasibility
We assess time savings, cost, data availability, integration effort and risk.
3
Develop the architecture
We define components, interfaces, permissions and the suitable operating model.
4
Build the prototype
The most important function is tested early inside a realistic process.
5
Integrate systems
We connect the prototype with the required applications, data sources and devices.
6
Operate in production
The solution receives monitoring, logging, documentation and defined ownership.
Typical use cases
- Processing and routing business correspondence
- Sales and offer processes
- Document review and report generation
- Technical service and support processes
- Internal knowledge systems
- CRM and ERP automation
- Infrastructure monitoring
- Energy, IoT and edge applications
- Custom AI agents for specialist departments
Extend existing systems sensibly
A good solution does not automatically replace existing infrastructure. Often the greatest economic value appears when existing applications are connected and extended in a targeted way.
- CRM and ERP systems
- Email and groupware solutions
- Document management
- Accounting and order management
- Databases and specialist applications
- Internal APIs
- Cloud services
- Local servers and edge systems
Discuss a project
Where does recurring work, media discontinuity or unnecessary manual effort appear in your company?
We analyze the process and show whether classic software, automation or AI is the right solution.