AI en Machine Learning Operations
Run AI with confidence and control
AI models can drift, degrade and introduce risk once they are in production. Resillion’s AI/ML Ops offering helps you manage deployment, monitoring, explainability and ongoing assurance throughout the model lifecycle. This helps you to reduce operational risk and scale AI with confidence.
Onafhankelijk erkend en geaccrediteerd
Onze accreditaties en certificeringen tonen onze toewijding aan erkende normen voor kwaliteit, veiligheid, testen en assurance.
Keep AI controlled and continuously assured
Our AI/ML Ops offering covers training, retraining, deployment, measurement and production monitoring. This helps you manage models as live operational assets, rather than one-off technical projects.
We combine AI operations, quality engineering, explainability, open-source assurance tools and practical governance to help you stay in control as models change.
Our tool-agnostic approach builds assurance in from the start. We select tools that fit your development environment, delivery model and risk profile, helping you operate AI reliably as it scales.
Governance that connects policy, controls, testing and monitoring
Our GRC approach works across your AI landscape with machine learning, generative AI, and AI embedded in products, platforms, and delivery processes. We connect four essentials:
- Clear ownership and accountability
- Policies, standards, and control frameworks
- Continuous testing and assurance
- Real-world performance and risk monitoring
By building assurance into the whole AI lifecycle, governance becomes a living system that keeps up with the evolution of AI within your business. You’re able to reduce risk while providing the evidence needed to keep the regulators, auditors and board happy.
As part of our Total Quality approach, GRC brings both governance and real-world assurance together, linking defined controls with continuous testing, monitoring, and validation. The result is measurable, audit-ready evidence – from reports and metrics to traceable logs – giving you the confidence to show that you’re compliant and in control.
VOORDELEN
How Resillion’s AI/ML Ops offering gives you stronger control over live AI
At Resillion, our approach to delivering AI/ML Ops offers advantages such as:
Clearer visibility across your live model lifecycle
Earlier detection of drift, degradation and risk
Greater confidence in how your models behave
Stronger alignment between AI operations and governance
Less fragmentation across tools, teams and controls
More scalable AI adoption with continuous assurance
Uitdaging
A leading telecommunications and media provider was running thousands of automated Android Live TV playback tests every day. Even a small failure rate created heavy manual triage, with engineers reviewing recordings, screenshots and logs to identify issues across DRM, app updates, account changes and test environments.
Aanpak
Resillion enhanced its Test-as-a-Service platform with AI-driven test result analysis. The solution automatically analysed recordings, screenshots, logs and timelines, then surfaced step summaries, detected error messages, evidence, timestamps and side-by-side comparisons to help teams understand what happened and why.
Resultaat
The system now processes 350 to 400 tests per day with 95% accuracy, helping the client identify root causes faster, reduce manual effort and improve confidence in high-volume validation.
WAAROM WIJ?
Hoe we mogelijkheden omzetten in resultaten
Here’s how our AI/ML Ops offering delivers positive business outcomes:
Lifecycle operations
Wat dit voor u doet
You manage training, retraining, deployment and measurement consistently
Resultaat
More controlled AI operations
Production monitoring
Wat dit voor u doet
You track drift, degradation and live model behaviour
Resultaat
Earlier risk detection
Model explainability
Wat dit voor u doet
You understand how models behave and why
Resultaat
Greater confidence in AI decisions
Drift detection
Wat dit voor u doet
You spot performance changes before they escalate
Resultaat
More stable model performance
Open-source assurance
Wat dit voor u doet
You avoid rigid tooling and vendor lock-in
Resultaat
Greater operational flexibility
Kwalitatief geïntegreerde engineering
Wat dit voor u doet
You align AI operations with existing QA and QE practices
Resultaat
Stronger delivery consistency
Governance controls
Wat dit voor u doet
You keep oversight, accountability and evidence connected
Resultaat
Better audit readiness
Aanvullende validatie
Wat dit voor u doet
You keep assurance active as models and data change
Resultaat
Sustained confidence over time
WAAROM NU?
Wacht je nog steeds? Bekijk wat er op het spel staat
If you’re not convinced by Resillion’s AI/ML Ops offering, consider what you’ll be up against without it:
Production models can fail silently as real-world data changes
Unchecked drift can weaken decisions before teams notice
Fragmented tools can make ownership and accountability unclear
Manual monitoring can slow response to emerging model issues
Poor evidence trails can make governance harder to defend
Isolated AI initiatives can become difficult to scale safely
Onze experts
Conor Thomson
Expert in kwaliteitsengineering en AI-praktijken
Conor is een Global Solution Architect met 12 jaar ervaring in Quality Engineering, QA, testautomatisering, softwarelevering, AI-engineering en digitale transformatie.
Robby Putzeys
Hoofd kwaliteitsingenieur
Robby Putzeys is een ervaren leider met meer dan 25 jaar ervaring in softwarekwaliteitstechnologie. Hij helpt organisaties om hoogwaardige IT-systemen, digitale producten en complexe technologie-omgevingen te leveren in sectoren zoals telecommunicatie en consumentenelektronica.
