AI DELIVERY OPERATING SYSTEM

The AI Operations Layer for IT Teams

PractIQ standardizes, manages and automates how IT departments work with AI across the entire SDLC – from analysis to QA.

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Explore PractIQ capabilities
95%
of code from AI
40%
less development time
>50%
shorter analysis phase

PractIQ is built by the Inteca team

PractIQ is an AI platform for the enterprise SDLC

  • Greenfield, brownfield and legacy projects
  • 5 ready-made SDLC practices
  • Advanced output validation
  • Red Hat partnership – we deploy our platform
    on proven RH solutions
  • Zero Trust architecture with full control over access to organizational resources

BANKING · FINANCE · ENTERPRISE · LARGE IT DEPARTMENTS

TRUSTED BY LEADING ENTERPRISES

ABOUT PRACTIQ

What is PractIQ?

PractIQ is an AI Delivery Operating System – not another AI tool, but an operating model that defines how teams work with AI in software delivery.

An operating model that defines how you work with AI

PractIQ integrates with your organization’s existing systems – documentation, code repositories, standards – to understand its context. It operates based on proven SDLC practices, validating quality and compliance with context at every stage.

The output is deployment-ready products: standards-compliant code, technical specifications, E2E test coverage and documentation.

  • Orchestrated team of AI agentsI
  • Continuous validation of work outputs by PractIQ
  • Full traceability across the entire SDLC
  • Modular practices – deploy what you need
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How PractIQ works

Workflow in PractIQ

PractIQ integrates with your systems, processes context through SDLC practices, and delivers deployment-ready outputs — with continuous validation of results at every stage.

Input · Organization context

PractIQ understands your IT ecosystem

APIExisting systems and integrations
DocumentationSpecifications and requirements
Code repositoriesGit, SVN, monorepo
5SDLC practices
AI Delivery Operating System
Continuous validation
AI validation · Human approval
Output · Production quality

Deployment-ready outputs

Standards-compliant codeGreenfield and brownfield
Technical specificationC4 architecture, ADR, DSL
E2E test coveragePlaywright, Gherkin, Jest
Legacy system migrationVendor lock-in exit

Practices are modular — you can implement one, several, or all five. Each works independently, and together they create a coherent AI operating model for the entire SDLC.

SDLC PRACTICES

Five PractIQ Practices

Behind each practice stands an orchestrated team of AI agents – they share your organization’s context, build knowledge models and verify every artifact with human involvement.

01

Analysis

AI supports requirements gathering and verification. Complete, consistent and traceable from project day one.

02

Documentation

Automatic generation and quality control of technical documentation — whether you’re working with new code, an existing system or legacy.

03

Architecture

AI-assisted design with automatic C4, ADR and DSL generation. Architecture documentation over 90% faster.

04

Development

Structured agentic coding – uniform quality and structure in every piece of AI-generated code.

05

QA

Quality built into every SDLC stage. Full output traceability using Playwright, Gherkin, WireMock and Jest.

Each practice is self-contained. Deploy one, three or five — it’s your call. Individually they work independently, together they form a complete operating model covering the entire development lifecycle.

USE CASES

Three Scenarios. Three Concrete Answers.

New project, existing system expansion, legacy exit – PractIQ addresses each of these cases.

Forward Engineering

Greenfield – new projects

Instead of starting from a blank page, your team gets a standardized, AI-driven operating model for the entire SDLC.

  • Up to 40% shorter time to delivery – automation covers the entire flow
  • Over 90% governance compliance – rules embedded directly in the process
  • Deliverability without surprises – ongoing validation catches issues in real time

Backward Engineering

Brownfield – existing systems

To modernize, you first need to understand. PractIQ reconstructs missing documentation and architecture directly from source code.

  • Knowledge foundation for AI – organization context prepared for agents
  • Documentation reconstruction – automatic identification of structure and dependencies
  • Solid starting base – you know exactly what you’re working with before moving forwardj

Backward Engineering

Legacy systems

When you have the full picture of your systems, you can act. Rewrite applications, extract knowledge from code, replace vendor-locked solutions.

  • Modernization under control – transition to new technologies without losing business knowledge
  • Technical debt elimination – structured, AI-driven starting point
  • End of vendor lock-in – take back control of your own software

Why PractIQ?

PractIQ sets the framework for human-AI collaboration in software delivery. Order, repeatability, predictability and measurability – at organizational scale.

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clarity

Governance

Defines the rules of collaboration between people, AI agents and processes – who is responsible for what, under which rules and with what outcome.

STANDARDS

Repeatability

Uniform standards and outcomes in every project and at every stage — regardless of who is on the team.

CERTAINTY

Predictability

Ongoing validation and consistent patterns across the entire SDLC. No more situations where “this project looked completely different.”

Control

Control

Traceability at every step instead of an opaque process. CTOs and CIOs can measure and demonstrate AI value at the organizational level.

FAQ

Frequently Asked Questions About PractIQ

PractIQ is an AI Delivery Operating System built by Inteca. The platform standardizes, manages and automates how IT departments work with AI across the entire software development lifecycle (SDLC).

The platform connects to the organization’s systems and builds a picture of its context. It then executes five proven SDLC practices — Analysis, Documentation, Architecture, Development and QA — each led by an orchestrated team of AI agents. Every output undergoes two-stage verification: first automated by PractIQ’s mechanisms, then by an engineer. No artifact reaches production without team approval.

No – PractIQ operates on a dual verification model. AI controls quality and standards compliance, while humans review and ultimately approve. Nothing goes to production without a team decision. The platform takes over repetitive SDLC tasks, allowing engineers to focus on highest-value work.

Yes, the platform supports three variants: Greenfield — new projects with AI-driven SDLC from the ground up; Brownfield — existing systems where PractIQ reconstructs missing documentation and architecture from code; and Legacy Modernization — transition to new technologies, vendor lock-in exit and technical debt reduction while preserving domain knowledge.

PractIQ is a product of Inteca — a specialized enterprise IT company and Red Hat Advanced Partner based in Wrocław, Poland. Since 2011, Inteca has been building mission-critical platforms for regulated sectors: banking, insurance and public administration across Europe and the US.

Ready to See PractIQ in Your Environment?

Book a PractIQ Demo — no commitments, no sales pressure.

What to Expect:

  • Current state assessment (how your SDLC works today)
  • Practice identification (which workflows to automate)
  • Q&A with PractIQ architects

⏱️30-minute video call | Scheduled within 48 hours

Zero sales pressure. Just expert guidance to help you make informed decisions.