AI research.
AI oversight.
Gorecki ArtIn is an AI research and consulting firm specialising in the evaluation and oversight of automated systems.
When automation underperforms, we find out why.
Gorecki ArtIn is an AI research and consulting firm specialising in the evaluation and oversight of automated systems.
When automation underperforms, we find out why.
Most organisations that adopted AI in the last three years deployed faster than they validated. Systems went live ahead of evaluation frameworks, ahead of monitoring, and ahead of clear criteria for what correct output looks like. The visible result is rarely dramatic failure — more often it is a quiet erosion: degraded data quality, unchecked outputs, and accumulating risk in systems that are overdue for systematic review.
The technology usually works. The structures needed to ensure it performs as intended — evaluation, monitoring, intervention — were deferred during deployment. The cost of that deferral compounds over time.
Closing the gap requires knowing where to look and what to measure. That is what we do.
Systematic review of existing AI deployments. We map where automation sits in your organisation, how outputs are being validated, and where AI-generated content or data feeds into downstream processes. The assessment produces a clear picture of your current state: what is performing, what carries risk, and where attention will have the most impact.
AI deployments exist on a spectrum. Some are delivering value, some are generating excess cost or degraded data, and most fall somewhere in between. Evaluation establishes where each system sits on that spectrum and produces a structured basis for deciding what to keep, what to restructure, and what to retire.
Design and implementation of the validation, monitoring, and review structures that make automation accountable. This includes defining success criteria, building measurement frameworks, and establishing the intervention points that allow problems to be caught before they compound.
Gorecki ArtIn conducts its own AI research programme. Our consulting methodology is informed by direct research into how AI systems behave, where they fail, and what oversight structures are required to keep them performing reliably. The practice is built on primary research, independently of vendor claims.
AI is powerful enough to be worth getting right. The organisations that adopted aggressively and are now seeing diminishing returns invested in the technology and deferred the evaluation and monitoring structures needed to make it perform. That deferral is the problem we address.
Our work is the oversight layer — the assessment, evaluation, and architectural work that determines whether your automation is performing as intended or quietly accumulating risk. We focus exclusively on oversight; our recommendations are grounded in our own research into AI system behaviour, independent of any vendor or platform.
The result is a clear, evidence-based picture of what your AI is doing, where it is falling short, and what needs to change. What you do with that picture is your decision.
Analysis and practical guidance on AI oversight and the evaluation of deployed systems. Written for decision-makers and technical leads.
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