SYS.OPS ▸ DASHBOARD v3.2

Certified AI Software — Operations Intelligence

UPTIME: ACTIVE
REGION: IE-WEST
DEPLOYMENTS
146
▲ this quarter
AVG INTEGRATION
19d
from audit to live
CLIENT RETENTION
91%
24-month window
ACTIVE MONITORS
38
live systems
LAST REFRESH: | Certified AI Software — 363 Jenkins Unions, Emmetville, T28 7LP7, Ireland

▸ OPERATIONAL BRIEF

We architect AI systems that slot into your existing operations without the theatre. No pitch decks full of buzzwords. No six-month discovery phases that go nowhere. Certified AI Software works from a simple premise: your business already has the data and the workflows — we build the intelligence layer that makes them sharper, faster, and self-improving.

Based in Emmetville, Ireland, our team has delivered production-grade AI across logistics, manufacturing, financial operations, and service delivery. Every engagement starts with a readiness audit and ends with a monitored, live system.

NLP COMPUTER VISION PREDICTIVE OPS AUTOMATION MLOps
CLIENT NOTE — LOGISTICS SECTOR

"They replaced a manual forecasting process that took our team 14 hours a week. The AI model now runs nightly and flags anomalies before our morning standup. We caught a supplier delay three days early last month."

— Operations Director, mid-size distribution firm, Cork region
AI software dashboard interface showing real-time operational analytics
LIVE MONITORING VIEW

▸ QUICK CONTACT

☎ +353 63 03994
✉ [email protected]
363 Jenkins Unions, Emmetville
T28 7LP7, Ireland

Route Map: From Audit to Autonomy

PHASE 01 — READINESS AUDIT

We map your data estate, identify integration points, and score AI-readiness across departments. Typical duration: 5 working days. Deliverable: a prioritised opportunity register with effort estimates.

PROOF: 93% of audits surface at least two quick-win automations within the first week.
PHASE 02 — BUILD & VALIDATE

Models are trained on your data, tested against historical outcomes, and validated with your subject-matter experts. We use containerised pipelines so nothing is locked to a single vendor. Average build cycle: 12 days.

PROOF: Recent build for a manufacturing client cut defect-detection time from 48 hours to 6 minutes.
PHASE 03 — DEPLOY & MONITOR

Production deployment with real-time drift monitoring, automated retraining triggers, and a dedicated operations dashboard. We stay in the loop — not as consultants, but as your AI operations partner.

PROOF: 38 systems currently under active monitoring with zero unplanned outages in the last 90 days.

▸ Deployment Matrix

Capability mapping across operational domains. Each cell represents validated delivery experience.

DOMAIN AI CAPABILITY TYPICAL OUTPUT COMPLEXITY STATUS
Supply Chain Demand forecasting, route optimisation Automated PO triggers, delivery ETAs MED ● LIVE
Finance Ops Anomaly detection, cash flow prediction Flagged transactions, 30-day forecasts HIGH ● LIVE
Manufacturing Visual inspection, predictive maintenance Defect alerts, maintenance schedules HIGH ● LIVE
Customer Service NLP triage, sentiment routing Auto-categorised tickets, priority queues MED ● LIVE
HR & Talent Attrition modelling, skill-gap analysis Risk dashboards, training plans LOW ○ READY
Energy & Utilities Load forecasting, grid anomaly detection Consumption models, outage prediction V.HIGH ○ READY

▸ DECISION BOARD: Is Your Organisation AI-Ready?

✓
You have structured data sitting in databases or spreadsheets
Even messy data is workable. We clean and normalise as part of Phase 01.
✓
You have at least one repeatable decision that consumes human hours
Approvals, classifications, routing, scheduling — these are prime AI targets.
✓
You want outcomes, not experiments
We deploy to production. Proof-of-concepts are stepping stones, not destinations.
△
You're unsure about data quality or volume
That's exactly what the readiness audit resolves. No commitment required to find out.
Professional reviewing AI deployment metrics on a screen
EMBEDDED PROOF — FINANCE SECTOR

"The anomaly detection model flagged a recurring billing error worth €23,000 in its first month. Paid for the entire engagement before we'd even finished onboarding."

— CFO, SaaS company, Dublin

▸ Field Log

Selected deployment records. Sanitised for confidentiality. Outcomes verified.

LOG #
FL-0041
2024-Q3
Predictive Maintenance — Industrial Equipment Manufacturer

Deployed vibration-analysis models across 12 production lines. System predicts bearing failures 72 hours before occurrence. Maintenance scheduling shifted from reactive to predictive within 6 weeks of go-live.

DOWNTIME ↓ 34% PARTS COST ↓ 18% ROI: 4.2 MONTHS
LOG #
FL-0037
2024-Q2
NLP Ticket Triage — National Service Provider

Built a multi-language classifier handling 2,400+ tickets daily. The model routes, prioritises, and drafts initial responses. Human agents now focus on complex cases only. Deployed in 16 days from kickoff.

RESPONSE TIME ↓ 61% CSAT ↑ 12pts AGENT LOAD ↓ 40%
LOG #
FL-0029
2024-Q1
Demand Forecasting — Regional Distributor

Replaced spreadsheet-based forecasting with an ensemble model ingesting POS data, weather, and promotional calendars. Accuracy improved from ±22% to ±7% on 14-day forecasts. Warehouse overstock reduced significantly.

FORECAST ACC ↑ 68% WASTE ↓ 23%

▸ WORKING PRINCIPLES

No Vendor Lock-In

Every model we build is containerised and portable. You own the code, the weights, and the pipeline. If you want to move it in-house or to another provider, you can. We document everything for that exact scenario.

Production-First Mindset

We don't build demos. Every model is designed for production from day one — with monitoring, logging, and automated retraining baked in. If it can't run unsupervised at 3am, it's not ready.

Transparent Pricing

Fixed-scope engagements with clear deliverables. No ballooning retainers. The readiness audit is a standalone product — if we're not the right fit, you still walk away with a usable report.

Human-in-the-Loop by Default

AI augments your team — it doesn't replace judgement. Every system includes configurable confidence thresholds and escalation paths. Your people stay in control.

AI engineer working on deployment pipeline at Certified AI Software
Engineering-Led, Not Sales-Led

Our team is composed of engineers, data scientists, and MLOps specialists. You talk directly to the people building your system — no account managers, no intermediaries.

▸ TECHNOLOGY STACK OVERVIEW

LAYER TOOLS & FRAMEWORKS
Model Training PyTorch, TensorFlow, scikit-learn, XGBoost
Data Pipeline Apache Airflow, dbt, Pandas, Spark
Deployment Docker, Kubernetes, FastAPI, ONNX Runtime
Monitoring Prometheus, Grafana, Evidently AI, custom dashboards
Cloud AWS, Azure, GCP — or on-premise
Version Control Git, DVC, MLflow
EMBEDDED PROOF — MANUFACTURING

"We were sceptical about AI for quality control. They set up a pilot on one line in 11 days. Defect catch rate went from 78% to 96%. We expanded to all lines within two months."

— Plant Manager, precision components, Galway

▸ COMMON QUESTIONS — OPERATIONAL NOTES

COMMS ▸ INQUIRY TERMINAL █

Initiate Contact

DIRECT CHANNELS
Phone
+353 63 03994
Email
[email protected]
Location
363 Jenkins Unions
Emmetville, T28 7LP7
Ireland
Ready to see what AI can do for your operations?

Start with a no-obligation readiness audit. Five days. Clear deliverables. Actionable outcomes.

REQUEST AUDIT ▸