AI Delivery Operating System

The AI operating layer
for IT teams

PractIQ is a platform that standardizes, governs, and automates how IT departments work with AI across the entire SDLC.

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rED hat advanced partner
INTECA EXPERIENCE
SDLC AUTOMATION
INTECA WORKS WITH INDUSTRY LEADERS
  • Santander logo: dark gray wordmark with flame icon on the left against a black background.
  • Philip Morris International logo centered on a black background with crest above the text
  • HP logo: gray circular emblem with stylized 'hp' letters on a black background
  • BNP Paribas logo: gray square with flying birds and the text 'BNP PARIBAS' to the right
  • Crédit Agricole logo in gray on a black background
  • Allianz logo: gray wordmark with a circular emblem containing bars on a black background.
  • Generali logo: winged lion standing on a pedestal with an open book, the word GENERALI below.
  • Volkswagen Leasing GmbH brand name in dark gray text on a black background.
  • Orlen logo with stylized wing shapes above the word ORLEN in a gray banner.
  • DHL logo in dark blue-gray with bold, italic letters and trailing speed lines on a black background
  • PGE logo: a gray curved arc above the letters 'PGE' on a black background, representing the brand
  • PGNiG logo with a stylized three-flame swoosh above the bold wordmark.','Dark blue PGNiG corporate logo featuring a wing-like flame icon and the word PGNiG.','Company logo for PGNiG with a three-curve flame symbol above the bold text.','PGNiG branding: stylized flame motif paired with the bold PGNiG text.
  • Energa logo: gray circular swirl icon next to the word Energa on a black background.
  • Leroy Merlin logo featuring a dark gray triangle with the brand name placed diagonally across it.
  • Icelandair logo: dark blue wordmark with a stylized tail on the right against a black background
  • KACZMARSKI GROUP wordmark logo in blue-gray letters on a black background, spaced letters.
  • Logo for VELO BANK: four grey square tiles spell V, E, L, O with the word BANK beneath.
  • Brand logo featuring stylized letters 'fis' with five rounded dots above the characters.
  • Crédit Agricole Life Insurance logo in blue-gray on a black background, with stylized CA symbol to the left and text to the right.
  • TAURON logo with four interlocking dark blue leaf-shaped blades above the bold gray word TAURON on a black background.
  • Aviva logo: dark gray wordmark with a curved shield-shaped emblem above it
How PractIQ Works

SDLC practices that understand
your context and validate every step

PractIQ integrates with your systems to understand your organization’s context.
It operates based on proven SDLC practices, validating quality and compliance with standards at every stage.
The output — production-ready deliverables.

Input ·
Organization Context
PractIQ understands your IT ecosystem:
APIs
Existing systems
Documentation
Code repositories
01
Analysis
Practice
02
Documentation Practice
03
Architecture Practice
04
Development Practice
05
QA Practice
PractIQ
Validation
PRACTIQ ·
HUMAN
Output ·
Production-Grade Quality
Production-ready deliverables:
Standards-compliant code
Greenfield
Technical specification
Documentation
E2E test coverage
E2E scenarios
Legacy system migration
Brownfield
✓
Dual Validation
First AI — PractIQ’s built-in mechanisms check quality and compliance with your standards.
Then human — nothing reaches production without the team’s decision.
Five SDLC Practices

Each practice is executed by an orchestrated team of AI agents –
they share the organization’s context, build knowledge models, and validate every artifact under human control.

01

Analysis

AI-powered requirements gathering and validation. Completeness, consistency, and traceability from day one of the project.

02

Documentation

Automated creation and verification of complete technical documentation. For greenfield, brownfield, and legacy applications.

03

Architecture

AI-standardized design. Auto-generation of C4 model, ADR, DSL. 90% faster architecture documentation.

04

Development

Controlled agentic coding with consistent quality and structure across all AI-generated code.

05

QA

Quality assurance built into the entire SDLC. Full traceability. Playwright, Gherkin,
WireMock, Jest.

MODULARITY

Practices are independent of each other. You can deploy any number – one, a few, or all five. Each works on its own, and together they form a cohesive operating model for the entire SDLC.

USE CASES

Three scenarios. Three real solutions.

From new projects to legacy modernization — PractIQ covers the full spectrum of AI-driven delivery.

FORWARD ENGINEERING

Greenfield – new projects

Stop starting every project from scratch. PractIQ gives teams a standardized, AI-powered operating model for the full SDLC.

  • Up to 40% improvement in time to market –
    SDLC automated end-to-end.
  • Predictable delivery – continuous validation
    eliminates surprises.
  • Ponad 90% zgodność z governance – standardy wbudowane w workflow.
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backward ENGINEERING

Brownfield – Existing Systems

You can’t modernize what you don’t understand. PractIQ reconstructs missing documentation and architecture directly from your code.

  • Reconstruct what’s missing – automated discovery of system structure, domain logic, and dependencies.
  • AI-ready knowledge base  – turn undocumented code into structured knowledge agents can work with.
  • Safe foundation for change  – before rewriting anything, know exactly what you have.
How it works
backward ENGINEERING

Legacy Systems

Once you understand your systems, PractIQ enables you to act – rewrite apps or replace vendor-controlled systems independently.

  • Modernize while minimizing risk – rewrite apps in new technologies without losing domain knowledge.
  • Break vendor lock-in – reconstruct legacy systems controlled by external vendors and take back ownership.
  • Reduce technical debt – replace outdated architecture with a clean, AI-driven foundation.
How it works

Want to see PractIQ in action?

Book a 30-minute demo of our solution – no strings attached.

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Why PractIQ?

PractIQ is not just another AI tool. It’s an operating model that defines how AI and teams work together
in software delivery.

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governance

Rules instead of improvisation

Defines how people, AI agents, and processes collaborate – who does what, by which rules, and with what outcome.

REPEATABILITY

What works once, works every time

Same standards and outcomes at every stage, in every project – regardless of team composition.

PREDICTABILITY

Zero surprises at the finish line

Continuous validation and consistent patterns across the entire SDLC. No more “every project looks different.”

CONTROL

ROI you can show the board

Traceability at every step instead of a black box. CTO/CIO can measure and demonstrate AI value at the organizational level.

Inteca Case Study

Measured impact of PractIQ on SDLC

We used PractIQ in real projects. Below you’ll find actual numbers – not projections. These are the results of our team working with PractIQ.

95% of code produced by AI agents under engineer supervision.

95%

40% reduction in development effort.

40%

80% of specifications generated automatically.

80%

Analysis and architecture phase shortened by over 50%.

>50%

With PractIQ, we’ve automated entire SDLC workflows – from documentation to deployment – cutting delivery time by nearly 60% and freeing our engineers to focus on real innovation.

Habte Woldu

CEO i współzałożyciel Inteca

FAQ

Common questions about PractIQ

PractIQ is an AI Delivery Operating System created by Inteca. It standardizes, governs, and automates how IT departments work with AI across the entire Software Development Life Cycle (SDLC). PractIQ integrates with your existing systems – APIs, documentation, code repositories – to understand your organizational context and validate quality and compliance at every stage.

PractIQ integrates with your systems to understand your organization’s context. It operates based on five proven SDLC practices — Analysis, Documentation, Architecture, Development, and QA — each executed by orchestrated AI agents. Every artifact goes through multiple validations: first by PractIQ’s built-in AI mechanisms, then by human approval. Nothing reaches production without the team’s decision.

PractIQ includes five modular practices: (1) Analysis – AI-powered requirements gathering and validation, (2) Documentation – automated creation and verification of technical documentation, (3) Architecture – AI-standardized design with auto-generation of C4 model, ADR, and DSL, (4) Development – controlled agentic coding with consistent quality, and (5) QA – quality assurance with full traceability using Playwright, Gherkin, WireMock, and Jest. Each practice works independently or together as a cohesive operating model.

In real projects at Inteca, PractIQ achieved: 95% of code produced by AI agents under engineer supervision, 40% reduction in development effort, 80% of specifications generated automatically, and the analysis and architecture phase shortened by over 50%. These are actual measured results, not projections.

Yes. PractIQ supports three scenarios: Greenfield (new projects with standardized AI-powered SDLC), Brownfield (existing systems where PractIQ reconstructs missing documentation and architecture from code), and Legacy Modernization (rewriting applications in new technologies, breaking vendor lock-in, and reducing technical debt while preserving domain knowledge).

No. PractIQ’s practices are fully modular – you can deploy one, a few, or all five. Each practice works independently, and together they form a cohesive operating model for the entire SDLC.

No. PractIQ uses dual validation: first AI checks quality and compliance, then humans review and approve. Nothing reaches production without the team’s decision. PractIQ is designed to free engineers to focus on innovation.

PractIQ is created by Inteca, a specialized enterprise platform provider and Red Hat Advanced Partner based in Wrocław, Poland. Inteca has been delivering mission-critical enterprise platforms since 2011 for regulated industries such as banking, insurance, and government across the EU and the US.

Ready to see how PractIQ works in your environment?

We’ll show you a system that lets you manage IT team work with AI on your data, repositories, and standards.

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