From AI pilots to predictable, production-grade value.

Quintant helps C-level leaders in regulated industries escape 'Pilot Purgatory' — turning scattered AI experiments into a controlled, auditable production system with measurable ROI.

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Why most enterprise AI never leaves “Pilot Purgatory”

In finance, telecoms, and other regulated sectors, the problem is not a lack of ideas for AI. The real problem is that projects are stuck in 'Pilot Purgatory' — burning budget without delivering value in production. 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 live, compliant service in production.

Endless proofs-of-concept that never reach production.

Shadow AI and Shadow Engineering quietly bypassing formal rules and processes.

Policies written in slide decks instead of controls wired into the infrastructure.

Fragmented ownership across IT, Data, Risk, and the business — no one feels accountable for outcomes.

No AI pilots yet?

Quintant also works with companies that are just starting their AI journey.

If you are a mid‑sized business (retail, manufacturing, services) and:

  • have no AI pilots,
  • hear about AI everywhere,
  • but don’t know where to start 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 regulated enterprises

Five layers that turn AI ideas into governed, repeatable delivery.

1

Strategy & Outcomes

Clear value hypotheses tied to KPIs and the P&L — fewer 'interesting use cases', more projects that actually pay off.

2

Governance & Risk

Controls-as-code: auditable logs, guardrails, approvals and policies that actually block unwanted scenarios, instead of living only in PDFs.

3

Process & Operating Model

Clear ownership from the moment a use case is proposed, through experimentation, all the way to operations and decommissioning.

4

Architecture

Reference blueprints for data, models, and integration — adapted to your existing stack, not an imaginary greenfield diagram.

5

Run & Optimise

Monitoring, model drift, quality metrics and real ROI — evidence you can defend in front of the board, internal audit, and regulators.

Quintant does not try to replace your tools. The goal is not to replace tools – it is to connect them into a production system your auditors and board can 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.

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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 systems that actually work in regulated environments.