Quintant: AI Governance Advisory and Enterprise Production Implementation
From AI pilots to predictable, production-grade value.
Quintant helps C-level leaders in large enterprises escape 'Pilot Purgatory' — turning scattered AI experiments into a controlled, auditable production system with measurable ROI.
Why most enterprise AI never leaves “Pilot Purgatory”
In large enterprises, the problem is not a lack of ideas for AI. The problem is that projects are stuck in ‘Pilot Purgatory’ — burning budget without delivering measurable value.
Typical reasons include unadapted processes, unscalable architecture, and lack of governance.
You don’t need another ‘AI lab’. You need a system that connects technology, governance, and the business into a single flow: from idea to a working service.
Unfinished PoCs that never reach production.
Shadow AI and Shadow Engineering quietly bypassing formal rules and processes.
Policies written in slide decks that are not enforceable in tools.
Fragmented ownership across IT, Risk, and the business — no one feels accountable for the outcome.
Don't know where to start with AI?
Quintant also works with companies that are just starting their AI journey.
If you are a company (finance, telco/media, insurance, retail, manufacturing, services) and:
- hear about AI everywhere,
- you feel this technology can bring benefits to your company,
- but don’t know where to begin without wasting money,
we start with an AI Strategy & Readiness Sprint – a short engagement that:
- maps your data, processes, and automation opportunities,
- selects 1–3 realistic directions,
- ends with a simple map of “what NOT to do” and “what is likely to pay off”.
The Production OS for AI in large enterprises
Five layers that turn AI ideas into governed, repeatable delivery.
Strategy & Outcomes
Clear value hypotheses tied to KPIs and the P&L — fewer 'interesting use cases', more projects that actually pay off. Principles of conduct in times of technological revolution.
Governance & Risk CORE
Controls-as-code (AI risk management): auditable logs, guardrails, approvals and policies (EU AI Act compliance) that actually block unwanted scenarios.
Processes
Selection and redesign of business processes to optimally use AI capabilities.
Architecture
Reference blueprints for data, models (including RAG), and integration — adapted to your existing stack, not an imaginary greenfield diagram.
Operating Model
AI operational model: ownership from the moment a use case is proposed, through experimentation, all the way to operations and decommissioning.
Quintant does not replace your tools. The goal is to use the existing stack and complement it to create a coherent operating system for AI that both auditors and the board trust.
What changes when AI finally leaves the lab
Fewer, better-chosen use cases — prioritised by business value and regulatory risk.
Faster time-to-production with clear decision gates and ready-made playbooks.
Less 'AI theatre' and governance that only exists in slide decks.
A single, defensible narrative for regulators, internal audit, and the board — grounded in data, not hype.
See how the Residency, Scorecard, and Certified programmes help you move from pilots to stable production.
View Services"Quintant was founded by Krzysztof Goworek, an AI and automation architect with 25 years of experience turning technology investments into business results across finance, telecoms, and the public sector."
Instead of more slideware, Quintant focuses on solutions that actually work in an enterprise environment.