Software & AI
Software and AI that improve measurable processes
We start with the organisation’s goals, users, data and constraints. Then we design the architecture, integrations and the approach to secure deployment and maintenance.
Sample view — illustrative data
Capabilities
From applications to AI agents
We deliver the full lifecycle or selected phases: analysis, UX, architecture, development, testing, deployment and maintenance.
Custom applications
Web and mobile systems tailored to the process, roles, data and integration requirements.
Integrations and data
APIs, data exchange, dashboards, reporting and streamlining information flow.
AI Agents and RAG
Assistants, workflow automation and knowledge search with access and source control.
Maintenance and development
Monitoring, change management, quality improvement and steady development of the solution.
AI in a real process
AI with access, source and quality control
We integrate AI models and services with processes and applications, taking security and data control into account. Users see where an answer comes from, and difficult cases go to a human.
- answers with cited sources
- role-based permissions
- quality assessment and monitoring
- AI usage rules in the organisation
Sample view — illustrative data
Integrations
Consistent data instead of manual re-keying
We connect systems via APIs and agreed data exchange mechanisms. We streamline information flow so that reports and decisions rely on a single source.
- APIs and event queues
- dashboards and reporting
- data quality and consistency
# order → ERP → warehouse POST /api/v1/orders { "source": "online-shop", "status": "confirmed", "sync": ["erp", "wms"] }
Sample view — illustrative data
Secure development
Security throughout the development lifecycle, not at the end of the project
We run every project in line with SSDLC practices: security requirements, threat modelling, pipeline testing and dependency control.
- threat model for key features
- SAST, SCA and secret scanning in CI
- code review with a security checklist
Sample view — illustrative data
Project flow
From analysis to maintenance
The scope can cover the full lifecycle or selected phases.
Analysis and UX
Goals, users, data, constraints and success criteria.
Architecture
Integrations, security, scaling and maintenance costs.
Development and testing
Iterations with functional and security testing.
Deployment and development
Go-live, monitoring, change management and development.
Results
What we agree on
- Fastershorter turnaround for repetitive tasks
- More consistentconsistent data and fewer manual operations
- More securecontrol of AI-related risk
- Built to lastarchitecture ready for further development
FAQ
Questions about software and AI
Do you implement AI in existing systems?
Yes. We integrate AI models and services with the client’s processes and applications, taking security and data control into account.
Do you deliver projects from analysis to maintenance?
Yes. The scope can include analysis, UX, architecture, development, testing, deployment and maintenance.
Can we start with a small pilot?
Yes. A pilot on a selected process lets you check data quality, value and risks before scaling.
How do you ensure data security in AI solutions?
We design access control, data sources, retention rules and usage monitoring. The scope depends on the data classification and the organisation’s requirements.
Do you have a process that takes up too much of your team’s time?
Describe it. We will check whether an application, integration, automation or AI is the better solution — and where to start.
Need technical help? support@arpino.pl