AI-native Software Development

Business Results, Faster and Smarter

Appific delivers AI-powered, business-critical digital solutions for enterprise and institutional clients. Faster business outcomes, predictable delivery, sustainable operations.

Approach

AI-native Operating Model

AI is not an add-on module on top of existing processes—it's the organizing principle of the workflow. We don't build AI features; we design operations where AI is part of daily work.

Data and Context

We bring the data, documents, customer interactions and business rules of a process into one place, so the AI can work from them.

Interpretation and Decision Support

The AI highlights correlations and deviations, flags risks and suggests the next step. The decision is made by a specialist.

Execution and Automation

The system prepares repeatable, rule-based steps and, where it is safe, carries them out.

Measurement and Refinement

We measure the results and refine the process step by step.

The business advantage comes from transforming the entire workflow: faster situation assessment, better-supported decisions, and more consistent execution.

Solutions

Business Needs We Address

Rapid Digital Product Launch

There's a business idea or new service, but no product yet.

  • Shorter time to first market-ready version
  • Focused scope and prioritized development
  • Fast learning cycles from user feedback

Systems Ready for Growing Load

The service must handle heavy load without downtime.

  • We design how load capacity will grow
  • We automate tests for critical processes
  • We make errors traceable through logging

Regulated Environments & Compliance

For financial institutions and regulated industries that require full traceability and compliance-ready operations.

  • Transparent processes and accountability
  • Compliance-optimized implementation
  • Lower regulatory exposure

Digitizing Complex Processes

Multi-stakeholder, manual operations slow down the organization.

  • Faster turnaround and fewer manual errors
  • Better leadership visibility into operations
  • Automated, scalable daily operations

HR & Learning Program Digitization

Development programs' impact is hard to measure and scale.

  • More measurable organizational development programs
  • Data-driven support for HR decisions
  • Unified digital platform for learning processes

Community & Urban Services

Many users need to be served through simple, stable digital channels.

  • Reliable operations even at scale
  • Better customer experience for public services
  • Transparent, coordinated service delivery
Service Model

We Carry the Project from Goal to Handover

  • We break the business goal down into concrete features.
  • We design the role of AI across the entire workflow.
  • We gather feedback on early versions.
  • We deliver the working system with tests and documentation.
  • We leave behind a clear structure and source code for future extension.
Why Us

Why Appific

AI Agents, Specialists Decide

Agents work in a controlled environment; a specialist decides on the system's architecture and approves changes.

Price and Timeline After Discovery

At the end of the discovery phase, you get a detailed plan, timeline, and fixed price.

Tested Handover

We write automated tests for critical processes, and changes also go through code review.

Takeover and Further Development

We also take over existing systems, document them, and continue development.

Experience Across Industries

We've worked on finance, HR, tourism, municipal and construction projects.

Long-term Value

Not just an initial MVP, but a foundation for sustainable growth.

Andor Kerti

Andor Kerti

Founder, agentic software engineering

At Appific, we have used an AI-agent-based development system since 2024: the agents work within strict technical rules, while a specialist decides on the system's structure and accepts the result. I have more than twenty years of experience as a software developer and architect; I previously worked on fintech systems. I now put that experience to use designing systems, reviewing them and managing their technical risks.

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