Software engineering studio
Software systems for real operations.
We translate real operational complexity into production-ready platforms, SaaS products and AI-assisted decision systems — from process and system architecture through full-stack engineering to production operation.
Engineering capabilities
From real workflows to production software systems.
AutoFlow Robotics combines process understanding, system architecture, product engineering and production operation. The technical evidence shows how these capabilities are applied in practice; technology remains a means to an end.
Process & System Architecture
We translate workflows, roles, business rules, exceptions and system boundaries into an explicit domain and architecture model.
- Domain modelling
- Workflow design
- Multi-tenant architecture
- Data & authorization boundaries
- Integration design
Full-Stack Product Engineering
We build complete application systems — from interface and server-side logic to data model, APIs and infrastructure.
- Next.js / React
- TypeScript / Node.js
- PostgreSQL / Prisma
- Object Storage
- APIs
AI-Assisted Decision Systems
We combine AI-assisted analysis with deterministic rules, structured evidence and explicit human review.
- AI pipelines
- Deterministic rules
- Structured evidence
- Human-in-the-loop
- Decision support
Production & Operational Engineering
Deployment architecture, security boundaries, data migration, recovery and operating procedures are designed as part of the system from the start — not as work deferred until later.
- Deployment architecture
- Security boundaries
- Controlled migrations
- Backup & recovery
- Operational runbooks
Selected systems
Three systems. One engineering approach.
Their industries, product models and technical challenges differ. Together, the systems show how process understanding, system architecture, product engineering and operation come together across different system classes.
Automation Assessment Platform
AI-assisted assessment and decision platform
Structured input, deterministic rules, matching and expert review.
AvailableView case studyRightSlot
Transactional SaaS with multi-tenant architecture
Tenant boundaries, availability logic, booking transactions and production operation.
AvailableView case studyAFR Smart Operations
Tailored operational software
Domain modelling, dispatch, mobile execution and operating architecture.
Implemented referenceView case study
Engineering Case Study 01 · AI and decision architecture
AvailableAutomation Assessment Platform
Available, vendor-neutral assessment and decision platform for industrial automation.
Engineering question
How can incomplete operational input become a technically defensible automation decision?
The Automation Assessment Platform turns questionnaire data, process parameters and optional process video into a structured assessment. AI-assisted process decomposition is combined with deterministic rules, simulation, vendor-neutral matching, ROI/TCO logic and expert review to produce a traceable recommendation.
Relevant forIndustrial and process engineering, operations, automation, procurement and management.
Assessment sequence
- Upload complete
- AI Analysis
- Rule Engine
- Expert Review
- Approved
Process Analysis & Lean Metrics
| # | Process step | As-is time | Category | To-be / automation state |
|---|---|---|---|---|
| F001 | Process stepProvide raw parts at the cell | As-is time45 s | CategoryNon-value-adding | To-be / automation stateNot set yet. |
| F002 | Process stepLoad and clamp workpiece | As-is time30 s | CategoryNon-value-adding | To-be / automation stateCobot cell |
| F003 | Process stepMachining cycle | As-is time95 s | CategoryValue-adding | To-be / automation stateNot set yet. |
| F004 | Process stepUnload and deburr | As-is time35 s | CategoryValue-adding | To-be / automation stateCobot cell |
| F005 | Process stepGauge and record dimensions | As-is time25 s | CategoryNon-value-adding | To-be / automation stateManual optimization |
| F006 | Process stepSet down on transfer pallet | As-is time20 s | CategoryWaste | To-be / automation stateCobot cell |
- Value-adding 130 s
- Non-value-adding 100 s
- Waste 20 s
Decision output
- Requirements Fulfillment (Tech-Check)
- Technology Matrix
- Requirement Profile (Detail)
- Budget Transparency
- Alternative Candidates
- ROI Calculator
- Expert Assessment
Sections of the decision-ready report a full assessment produces. Values depend on the assessed process.
Engineering scope
Structured process intake
AI-assisted task decomposition
Rule-based feasibility assessment
Process simulation and scenario comparison
Vendor-neutral solution and system matching
ROI/TCO, expert review and reporting
Architecture sequence
- Structured process intake
- AI-assisted analysis
- deterministic rules
- technical feasibility and matching
- expert review
- structured recommendation
Architecture and implementation evidence
- Application
- Next.js / React · TypeScript / Node.js
- Data
- PostgreSQL / Prisma · structured assessment and report data
- Media
- Private object storage for process media and reports
- Decision logic
- AI analysis · deterministic rules · simulation and matching
- Engineering control
- Role-based expert review · approval and reporting workflow
What this demonstrates
AI does not replace engineering judgment. It prepares input and structures evidence; rules, matching and expert review keep the decision traceable and controlled.
Engineering Case Study 02 · Multi-tenant SaaS
AvailableRightSlot
Available booking and management SaaS for local service businesses.
Engineering question
How can scheduling, customer booking and provider operations be represented in one multi-tenant SaaS system?
RightSlot connects localized provider storefronts with tenant- and role-separated workspaces for services, staff, working hours, availability, reservations and bookings. Transactional states, notifications and private media flows bring the public customer journey and internal provider operations together in one domain model.
Relevant forLocal service businesses with appointment-based services and their customers.
Engineering scope
Multi-tenant provider workspaces
Role-based management of services, staff and teams
Availability, calendar and exception logic
Localized storefront and customer booking journey
Transactional reservation, booking and cancellation workflows
Notification, media and integration boundaries
Architecture sequence
- Tenant and role model
- services, staff and availability
- localized storefront
- reservation and booking
- notification and media
- production operation
Architecture and implementation evidence
- Application
- Next.js / React · TypeScript / Node.js
- Data and tenancy
- PostgreSQL / Prisma · shared-schema multi-tenancy
- Identity and access
- Auth.js · server-side tenant and authorization boundaries
- Transactions
- Availability, reservation, booking and notification states
- Integrations
- Transactional email · private object storage · Stripe Connect integration boundary
- Operations
- Versioned releases · rollback · backup and recovery procedures
What this demonstrates
RightSlot shows how a public customer journey and tenant-scoped provider operations can work within one transactional domain model without dissolving tenant, role or state boundaries.
Engineering Case Study 03 · Operational process digitization
Implemented referenceAFR Smart Operations
Implemented reference and adaptable sector solution for skilled-trade and field-service businesses.
Engineering question
How can a real skilled-trade operating process become a tailored digital operating model without forcing it into generic software structures?
AFR Smart Operations was first implemented for AFG Elektrotechnik GmbH. The system translates scheduling, jobs, customers, employees, teams, working time, absences, documents and mobile execution into role-separated operational workspaces.
Relevant forSkilled-trade and field-service businesses, and their dispatch, operations and administration teams.
Scheduling
Calendar week 38
| Functional modules | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| Installation team | 07:30–12:00Switchgear cabinet retrofitEast industrial park | 08:00–15:30Sub-distribution board replacementNorth district | 07:30–11:00Charging infrastructure installationWest district | ||
| Service team | 09:00–11:30Electrical safety inspection, commercial unitWest district | 13:00–14:30Hall lighting faultSouth harbour | 08:00–09:30Site visit, new buildNorth districtEmployee unavailable |
Unscheduled
- Emergency lighting serviceSouth harbour
- Portable appliance testingEast industrial park
Conflicts
Employee unavailable
Site visit, new build — Thursday
- Appointments
- 6
- Unscheduled
- 2
- Conflicts
- 1
Technician app
Assignment
Sub-distribution board replacement
Wed · 08:00–15:30
SiteNorth district
Progress
- Scheduled
- En route
- On site
- In progressCurrent status
- Completed
Finish work
Stops working-time capture.
Time capture
- Travel time
- 35 min
- Working time
- 3 h 10 min
- Break
- 30 min
- Total
- 3 h 45 min
Documents
- On-site photoDistribution board, interim state
- Voice noteQuery on material requirement
- Assignments
- Time
- Leave
- Report
Engineering scope
Scheduling and job coordination
Customer, employee and team domains
Working-time, absence and status workflows
Job-related document management
Mobile technician and field-service workflows
Role, tenant and administration boundaries
Architecture sequence
- Current operating process
- domain model
- role-separated workspaces
- planning and execution
- document and data flows
- production operation
Architecture and implementation evidence
- Application
- Next.js / React · TypeScript / Node.js
- Data
- PostgreSQL / Prisma · tenant-scoped operational data model
- Identity and access
- Auth.js · server-side role and route boundaries
- Documents
- Private object storage · short-lived signed access
- Mobile execution
- Responsive technician interface · installable PWA
- Production
- Docker Compose · Caddy · deployment, backup and operating runbooks
What this demonstrates
AFR Smart Operations shows how tailored operating software can reflect real responsibilities, handovers and exceptions instead of forcing an operation into generic module structures.
Engineering philosophy
Software follows the process.
Great software does not start with code. It starts with understanding how work actually happens: where decisions are made, constraints apply, exceptions occur and responsibility changes hands.
Process before code
We model actors, decisions, constraints, exceptions and data flows before committing to implementation.
Architecture before features
Features follow from a coherent system model. We design for clear responsibilities, maintainability and operation — not for isolated feature lists.
AI with engineering control
AI prepares, structures and accelerates analysis; it does not replace engineering judgment. Deterministic rules, structured evidence and human review remain explicit where accountability matters.
Production is part of engineering
Deployment, security boundaries, data integrity, recovery and operating procedures are part of the product — not work left until after development.
How we work
From operational reality to a working system.
Our method connects domain understanding with technical implementation. Each stage produces explicit decisions and a reviewable transition to the next.
- 01
Understand operational reality
We capture actors, responsibilities, decisions, constraints, exceptions and information flows — and separate observed facts from assumptions.
- 02
Structure the system
Operational requirements become a domain model with roles, states, data and system boundaries, and integrations. Important decisions remain explicit and traceable.
- 03
Build the core workflow
We build the most important end-to-end process first. Interfaces, responsibilities and state transitions remain clear; unnecessary complexity is avoided.
- 04
Validate, operate and evolve
We test real scenarios and edge cases, move changes into production through controlled migrations and deployment checks, and evolve the system based on real operating experience.
The systems differ in industry and product model. What they share is an approach that starts with the real process and continues into production.
Discuss a projectContact
Let’s discuss your software initiative with structure.
Describe the operational process, the people involved and the objective the software should support. Together, we can assess the appropriate structure, system boundaries and next steps.
CompanyAutoFlow Robotics s.r.o.
Useful context for an initial enquiry
Current process or workflow
Which operational work should the software support — and how does it run today?
Users, roles and responsibilities
Who plans, decides and works with the system day to day?
Intended outcome or decision need
What result or decision should the software help enable?
Existing systems and relevant constraints
Which systems, integrations or organisational boundaries already matter?
Suitable for enquiries about existing products, comparable operational software solutions and tailored software development. Not every enquiry becomes a project — first we clarify the appropriate scope together.