AI-driven legacy modernization

Bringing clarity to your most complex legacy systems with AI Legacy Archaeology

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AI-driven legacy modernization

Our experience

End-to-end legacy modernization guided by human oversight and accelerated by AI-driven delivery.

Gain a clear, system‑derived understanding of your legacy landscape and modernize with confidence. AI Legacy Archaeology reveals what is inside your systems, while AI‑driven implementation transforms those insights into a clear, accelerated path to delivery.

Your legacy systems already contain the answers. AI brings them to the surface.

Legacy systems hold years of business rules, workflows, and decision logic. Manual analysis can take months and still miss important details.

AI Legacy Archaeology analyzes millions of lines of code, databases, and documents in a fraction of the time. It produces structured, factual documentation of what the system actually does and often uncovers end‑to‑end business flows that even longtime system owners no longer fully see.

This gives you a clear, reliable view of your system landscape and a confident starting point for modernization.

Why Agentic AI Software Development?

AI-First approaches don’t just accelerate development, they reshape it. By embedding coordinated AI agents throughout the lifecycle, organizations achieve:

Faster delivery cycles through automated analysis, coordination, and execution

Higher quality outcomes with AI-driven testing, consistency checks, and guardrails

Predictable delivery through deterministic workflows and continuous optimization

Lower total cost of delivery with automation removing friction, waste, and rework

From AI Assistants to coordinated agentic delivery

AI‑assisted development has evolved from individual assistants to coordinated multi‑agent workflows operating across large, complex codebases. This shift makes large‑scale legacy modernization practical – not just a single developer prompting an AI, but an orchestrated delivery pipeline where agents analyze, specify, implement, and test under human oversight.

Human-driven coding

Humans design, implement, and test end-to-end
Knowledge resides in individuals, iteration is slower
Full control, quality via manual reviews and tests

Inline-assisted coding

IDE suggests code inline, developer accepts/edits
Speeds routine work, reduces boilerplate and typos
Design and accountability remain with humans

Chat-based coding

Natural-language prompts generate and refactor code
Iterative dialogue for explanations and fixes
Larger changes possible, requires good prompt discipline

Vibe coding

Goals, constraints, and context stated at a high level for a single agent
AI infers tasks and produces multi-artifact solutions as it sees fit
Rapid prototyping, citizen development, results may vary

Agentic Swarm coding

Multiple AI agents collaborate in parallel with well-defined roles and clear specifications
Human orchestration, guardrails, and final verification
Production-grade enterprise solutions, professional AI-first dev team, predictable results

AI turns the invisible visible - and modernization
into measurable progress

days from legacy codebase to a running proof‑of‑concept that supports real decision‑making.

4,8B

data points processed in a fully working analytics application delivered in weeks on the customer’s environment.

50%+

estimated reduction in delivery effort using AI‑first methods - less manual work, more verifiable progress.

Human oversight combined with AI-driven execution creates a reliable path to modernization

AI supports analysis, testing, and implementation, while humans define boundaries, validate outputs, and maintain accountability. This collaboration enables modernization to advance more quickly without compromising quality.

Humans establish architectural, security, and compliance boundaries to ensure modernization aligns with enterprise needs.

AI agents perform large‑scale analysis and generate implementation‑ready outputs, which specialists review before moving forward.

Human validation remains central, ensuring responsibility stays where it belongs and enabling faster cycles.

Coordinated team workflows replace isolated experiments, making modernization more scalable.

Real results from AI‑driven legacy modernization

Turning legacy uncertainty into modernization clarity with AI‑first delivery

A six‑week AI‑first project turned modernization uncertainty into concrete proof by delivering a fully functional time‑series analytics application on the customer’s own big‑data stack. It removed key risks, validated performance and integration, and demonstrated over 50% delivery efficiency gains.

Explore the full case study

AI‑first approach turns a complex legacy application into a clear modernization blueprint

A focused AI‑first project turned a decade‑old, hard‑to‑understand WebForms application into a clear modernization blueprint in just weeks. It delivered a runnable .NET and Angular prototype, clarified hidden functional complexity, and gave the customer a reliable view of the actual modernization effort.

Explore the full case study

We help enterprises and public sector organizations bring clarity to even their most complex legacy systems

Complex does not have to mean complicated. For decades, we have supported public institutions and global enterprises, helping them understand and evolve the large, business‑critical systems their operations rely on.

Every modernization initiative is grounded in clarity and designed for long‑term durability. That is why clients trust us with the systems that matter today – and those they need to evolve for the future.

Is a legacy system holding your organization back?

Meet with our experts to discover how AI Legacy Archaeology and modern delivery practices can provide a clearer system landscape and a well‑managed path to modernization.

Jarkko Enden

CTO,
Nortal Finland

Tanel Tensing

Group Head of Engineering

Evgenij Nazarenus

Head of Data & AI,
Nortal Germany

Kurt Knaub

Head of Data & AI,
Nortal Americas

Allan Bernard

Head of Engineering,
Nortal Estonia

Bringing clarity to your most complex legacy systems with AI Legacy Archaeology

AI-driven legacy modernization

End-to-end legacy modernization guided by human oversight and accelerated by AI-driven delivery.

Your legacy systems already contain the answers. AI brings them to the surface.

Why Agentic AI Software Development?