AI solutions for IT and software companies

Engineering organizations rarely lack ideas. They lack capacity. Roadmap work competes with integrations, internal tooling, migrations and the accumulated cost of decisions made years ago. Durfina Systems works as an extension of your team on exactly that second category, so your own engineers stay on the product that differentiates you.

What this kind of automation can achieve

−40%lead time from commit to production
≈ 250 h / mo.engineering hours freed every month
≈ €110,000 / yrengineering capacity gained per year
3–6 mo.usual payback for this kind of build

The challenges

What slows this industry down

01

Internal tooling always loses

Admin panels, back-office consoles and support tools are perpetually deprioritized against customer-facing work. The result is manual database access, brittle scripts and support processes that only two people in the company can perform.

02

Integration work that never ends

Every enterprise customer arrives with its own identity provider, ERP, data format and security review. Integration work is unglamorous, hard to reuse and quietly consumes a large share of delivery capacity each quarter.

03

Legacy systems nobody wants to touch

A revenue-critical service written years ago has no tests, no current documentation and one remaining expert. Rewrites keep getting proposed and postponed because the risk of breaking production outweighs the pain of maintaining it.

04

AI adoption stuck at the pilot stage

Teams experiment with LLM features, then stall on evaluation, cost control, prompt versioning, data governance and the question of what happens when the model is wrong in front of a paying customer.

What can be built

What software and AI can take over here

Internal platforms and admin tooling

Back-office consoles, support tooling and self-service portals with proper authentication, role-based access and audit logging, so operations stop depending on direct database queries and one-off scripts.

50–70 hhours saved / month, typically

DevOps and delivery automation

CI/CD pipelines, infrastructure as code, environment provisioning and release automation, including the observability and rollback paths that make frequent deployment safe rather than merely fast.

60–80 hhours saved / month, typically

LLM features built for production

Retrieval pipelines, agents and assistants with evaluation harnesses, cost and latency budgets, prompt versioning and fallback behavior, designed so a wrong model output degrades gracefully instead of breaking a workflow.

30–50 hhours saved / month, typically

Integration and API layers

Connectors, webhooks, event pipelines and API gateways between your product and customer systems, with schema validation, retries and idempotency handled once rather than reimplemented per customer.

40–50 hhours saved / month, typically

Legacy modernization

Incremental extraction of critical functionality from monoliths and end-of-life stacks, using characterization tests and parallel running so behavior is preserved and cutover happens in controlled steps.

30–40 hhours saved / month, typically

Savings potential

What it saves, in numbers

Manual release to production
Manual today 3 h
With the solution 12 min
95%faster
Onboarding a new developer into the codebase
Manual today 40 h
With the solution 12 h
70%faster
Assembling data for a management report
Manual today 5 h
With the solution 20 min
95%faster

These are model estimates of what this kind of automation can do — not measured results from our own projects. We recalculate them on your real volumes and systems before anyone commits to anything.

Contact

Tell us what's slowing you down.

Tell us about your project, the bottleneck in your processes, or the legacy system you've outgrown. We're available 24/7 and we reply to messages promptly — with concrete next steps, no obligation and no sales theater.

info@durfinasystems.com +421 918 513 248

Write to us

Headquarters Durfina Corporation s.r.o.
Farská 1342/50
949 01 Nitra
Slovakia