Accurate diagnosis
Understand the strengths, gaps and readiness of your current AI position.
AI Consulting Services
We transform your business with customized AI solutions. Our holistic approach ensures measurable results with state-of-the-art technology.
AI maturity assessment
What is your organization's current state?
Understand where your company stands today and receive tailored recommendations to accelerate your digital transformation.
Knowing where you are is the first step to getting where you want to be.
A quick, free assessment gives you a clear view of AI maturity, strengths, gaps and available improvement opportunities. After completion, you receive a personalised report with specific recommendations and practical next steps.
Personalized roadmap
Get an action plan shaped around your maturity level, data landscape and goals.
Next steps
Leave with practical recommendations for moving from ambition to implementation.
Consulting process
How our AI consulting process works.
A structured path that turns vision into validated, integrated and continuously improving AI capability.
01
Discovery & AI Strategy
Analyze, identify, strategizeWe assess your business needs and create an AI strategy tailored to your goals.
The discovery phase is the foundation for successful AI implementation. We work with your team to understand objectives, constraints, operating model and data readiness.
Through workshops and focused analysis, we identify the AI opportunities most likely to create measurable impact with the least operational disruption.
What you'll receive
Case study ↗Kiln Scheduling with Real-Time Energy Pricing
Discovery identified energy cost as the primary lever — the resulting system cut spend by 18% per tonne across 12 kilns.
Case study ↗Cement Sales Volume ForecastingA data quality audit during discovery uncovered the forecasting opportunity that now self-adjusts weekly without retraining.
02
Proof of Concept
Validate, measure, refineWe create prototypes that validate feasibility and make the value of the AI solution visible.
The proof of concept turns the strategy into something tangible. We build a working prototype that demonstrates the core capabilities of the proposed AI solution.
This phase validates technical feasibility, measures likely impact and surfaces delivery risks before committing to full-scale implementation.
What you'll receive
Case study ↗Visual Quality Control of Field Installations
A computer vision PoC verified that 11 component classes could be detected in real-time — zero corrective revisits once live.
Case study ↗ID Reader and Automated KYC VerificationThe prototype validated OCR accuracy against real identity documents before any back-office workflow was changed.
03
Implementation
Develop, integrate, deployWe build and deploy the full AI solution into business operations with minimal disruption.
Implementation is where the AI strategy becomes operational reality. We build a production-ready solution based on the validated proof of concept and integrate it with existing systems.
Our approach keeps disruption low while making sure the solution meets business, technical and adoption requirements.
What you'll receive
Case study ↗Kiln Scheduling with Real-Time Energy Pricing
Deployed live into existing SCADA infrastructure in 6 weeks — no process disruption, immediate 18% cost reduction.
Case study ↗AI-Driven Planning Across 140 Depot LocationsFull integration with TMS replaced a 3-day manual planning cycle with 45-minute autonomous re-planning across all constraints.
04
Continuous Optimisation
Monitor, improve, evolveWe monitor, maintain and improve your AI solution so it keeps delivering value.
AI implementation is an ongoing journey. Continuous optimisation keeps the solution aligned with changing data, users and business needs.
We monitor performance, gather feedback, analyze new data and tune models and workflows so the system improves over time.
What you'll receive
Case study ↗Anomaly Detection in Industrial Control Systems
Continuous retraining on 12,000+ SCADA sensors keeps detection precision above 91% as equipment behaviour evolves.
Case study ↗Predictive Maintenance — Multi-Line Industrial EquipmentFeedback loops from maintenance outcomes refine the model, reducing unplanned downtime by 34% over successive cycles.
Real-world proof
Strategy built on production-proven outcomes.
Every engagement is grounded in systems we have already deployed — measurable results, not projections.
−18%energy cost per tonne
Kiln Scheduling with Real-Time Energy Pricing
Agentic AI integrated live grid pricing with 12-kiln production to eliminate manual scheduling and peak-rate over-spend.
Read the case →−23%delivery lead time
AI-Driven Planning Across 140 Depot Locations
A multi-depot AI platform replaced 3-day manual planning cycles with 45-minute autonomous re-planning across all constraints.
Read the case →Zerocorrective revisits
Visual Quality Control of Field Installations
Computer vision verified 11 component classes in real-time — instant on-site certification before technicians left the area.
Read the case →Standards
Secure, accountable delivery.
Recognised standards for information security, quality management and responsible data protection.
ENS Alto
ISO 27001
ISO 9001
GDPRContact
Talk to MCCM about your AI roadmap.
Tell us what you want to improve. We will help you shape a practical route from strategy to production.