Agentic AI Development

Proměňte AI v měřitelnou hodnotu s ROI. Začněte AI strategií.

Získejte jasný plán, jak využít AI napříč celou organizací – od kratkodobých cílů po dlouhodobé investice, které se vám skutečně vrací.

Domluvit konzultaciHow it works
Důvěřují nám přední firmy z globálního trhu
Pain points

Why AI development stalls after the prototype

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Prototypes are fast. Production is slow.
Most teams spin up a demo in days. But moving from notebook to production-grade, monitored, governed AI system takes months — and a different set of skills.
AI engineers are scarce and expensive
The market for production AI engineers is extremely tight. Project timelines are dictated by headcount, not ambition.
Every project starts from scratch
RAG pipelines, agent orchestration, evaluation frameworks — teams rebuild the same patterns for every new use case instead of reusing governed templates.
Business can't participate in the build
AI development is deeply technical. Business owners who define the use case are disconnected from implementation until the final demo — too late to course-correct cheaply.
How it works

How AI-accelerated development works

A 6-step framework with clear roles: Business Stakeholder defines intent, Business Konzultant structures requirements and reviews output, Solution (AI) Architect guides technical decisions — while AI accelerates every step.

Skills Repository — the knowledge backbone

A centralised knowledge base feeds every step of the process: code patterns, client-specific context, solution templates, architectural decisions, and best practices. AI agents draw on this repository to generate code and specs that match your standards from the start.

Business intent

A Business Stakeholder defines the goals and expected outcomes of the AI solution — what problem it solves, what success looks like, and what business value it should deliver.

Business requirements template

A Business Konzultant captures and structures the requirements into a standardised template — data sources, integration points, user stories, constraints, and acceptance criteria. This becomes the single source of truth for the build.

Technical specification

A Solution (AI) Architect defines the architecture, interfaces, and technical details — AI-assisted, drawing on the Skills Repository for patterns, client context, and platform documentation. The spec is validated against the business requirements before proceeding.

Development plan

The Solution Architect breaks the spec into implementable modules and models — defining the development sequence, dependencies, and testing strategy. The Skills Repository ensures consistency with existing solutions and standards.

Coding with AI assistance

AI agents implement features based on the development plan — writing code, running tests, and fixing issues in an autonomous testing loop (Write Code → Run Tests → Fix & Improve). The majority of implementation happens here with minimal human intervention.

Pull request & review

The generated solution is packaged as a Pull Request. The Business Konzultant reviews it against the original requirements, the Solution Architect validates the technical implementation. Feedback is incorporated — either manually or automatically — and propagated back into the solution.

Náš přístup

AI solutions built with agentic development

Enterprise AI projekty uspějí tehdy, když strategie, governance a exekuce fungují společně. Náš framework propojuje priority vedení s reálným byznysovým dopadem – zajišťuje přehlednost, compliance a škálovatelnost od prvního dne.

RAG & knowledge assistants

Internal knowledge bases, document Q&A, enterprise search

Agent systems

Multi-agent workflows for claims processing, document handling, task automation

LLM integrations

AI-powered features embedded into existing products and platforms

ML pipelines

Demand forecasting, anomaly detection, churn prediction — automated end to end

Evaluation & governance

Automated testing, bias detection, compliance reporting for AI systems

Custom AI tools

Vertical-specific AI applications tailored to your industry and data

Traditional vs. agentic development

BigHub-founders-story-Karel-Simanek-Tomas-Hubinek
Benefits

AI acceleration benefits

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Faster development
AI handles the heavy lifting — code generation, testing loops, spec translation. What used to take sprints now takes days. The 6-step framework eliminates idle time between roles.
Higher quality
The autonomous testing loop (Write → Test → Fix) catches issues before any human reviews the code. The Skills Repository ensures every solution follows proven patterns and standards.
Continuous learning
Every completed project enriches the Skills Repository — client-specific patterns, solution templates, and code bases. The system gets smarter and faster with every deployment.
Smarter decisions
AI agents draw on the full knowledge base — architecture patterns, client context, governance policies — to make better technical decisions than any individual could from memory alone.
Clear roles, clear accountability
Business Stakeholder sets intent, Business Konzultant structures and reviews, Solution Architect guides technical decisions. Everyone knows their lane — AI fills the gaps.
Business stays in control
The Business Konzultant reviews every PR against the original requirements. No solution ships without business validation. The feedback loop ensures alignment throughout.
O nás

Proč BigHub

Již od roku 2016 pomáháme enteprise firmám posunout AI od experimentování k reálným projektům (450+). Náš přístup kombinuje hlubokou technickou expertízu s důrazem na ROI, škálovatelnost a dlouhodobou strategickou hodnotu.

Více o nás
Byznys a ROI

Každý projekt začíná s jasným byznysovým případem. Identifikujeme příležitosti s nejvyšší návratností a navrhujeme AI řešení, která přinášejí měřitelný dopad — žádné experimenty, ale skutečné výsledky.

Dlouhodobý partner

Nedodáme řešení, které opustíme. BigHub funguje jako váš strategický dlouhodobý partner — zajišťujeme, aby vaše AI iniciativy zůstávaly v souladu s business cíli a dlouhodobě přinášely hodnotu.

Hluboká expertíza

Náš tým 75+ expertů spojuje letité zkušenosti z data engineeringu, machine learningu i business strategie napříč odvětvími — díky tomu dokážeme řešit i komplexní enterprise výzvy od začátku až do konce.

Bezpečnost a compliance

AI řešení navrhujeme a nasazujeme v rámci nejpřísnějších bezpečnostních a compliance standardů . Vaše data zůstávají chráněná, governance je transparentní a provoz plně v souladu s požadavky.

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