Application Development & Maintenance
Design, build, and long-term maintenance of custom software.
Read moreAI-Powered Solutions
Intelligent
Automation.
AI That Delivers.
We design AI that does specific work — reading documents, processing data, automating decisions — so your team stops spending time on tasks a machine can handle accurately. Our document processing AI runs at 99.9% accuracy, handling in seconds what used to take a team of five hours.
95%Faster Processing
80%Cost Savings
99.9%Accuracy Rate
24/7AI Operations
Core Capabilities
Three pillars of intelligent automation
Intelligent Document Processing (IDP)
AI that reads, classifies, and extracts data from invoices, contracts, and KYC forms — handling in seconds what used to take a team of five hours, at 99.9% accuracy.
- Reads invoices, contracts, and KYC forms
- Automated document classification
- Real-time processing
- Direct ERP/CRM integration
99.9%Extraction Accuracy
Robotic Process Automation (RPA) with AI
RPA is not about replacing people. It is about giving your best people back the hours they spend on repetitive, rule-based work — data entry, report generation, system-to-system transfers — so they can do the work that requires human judgment.
- We map your highest-volume processes
- Build the automation that removes the bottleneck
- Measure the hours recovered
- Proven: 40% faster resolution for a telecoms client
40%Faster Resolution (telecoms)
Predictive Analytics as a Service
Custom ML models that forecast sales, predict maintenance needs, anticipate customer churn, and optimize inventory levels with real-time data processing.
- Data-driven strategic planning
- Predictive maintenance insights
- Proactive customer retention
- Automated reporting dashboards
85%Forecast Accuracy
Extended Capabilities
Complete AI ecosystem
AI Model Training
Custom AI model development, training, and production deployment
AI Ethics & Governance
Responsible AI with ethical guidelines and compliance frameworks
AI Integration
AI that connects directly to your existing business systems
Performance Monitoring
Continuous monitoring and optimization of AI model performance
Our Process
From assessment to optimization
01
Assess
Audit current systems, identify automation opportunities, and evaluate AI readiness across your operations.
02
Design
Architect a tailored AI strategy combining IDP, RPA, and predictive analytics — aligned to your ROI goals.
03
Deploy
Implement and integrate AI solutions with your existing infrastructure, with rigorous testing and validation.
04
Optimize
Continuous performance monitoring, model retraining, and iterative improvements driven by real operational data.
01
Assess
Audit current systems, identify automation opportunities, and evaluate AI readiness across your operations.
02
Design
Architect a tailored AI strategy combining IDP, RPA, and predictive analytics — aligned to your ROI goals.
03
Deploy
Implement and integrate AI solutions with your existing infrastructure, with rigorous testing and validation.
04
Optimize
Continuous performance monitoring, model retraining, and iterative improvements driven by real operational data.
Ready to transform
your operations?
Get an AI readiness assessment that names the specific bottleneck worth automating first — and what removing it is worth to you.
Free assessmentNo commitment24h response
FAQ
Common questions
What kinds of AI work does McDorcis actually do?
Applied AI inside business processes: intelligent document processing, robotic process automation, predictive analytics, and conversational assistants. The work is integrating models into systems people already use, not research.
Do we need clean, structured data before starting?
No. Most useful automation starts against messy data — scanned documents, free-text notes, inconsistent spreadsheets. Assessing what your data can currently support is part of discovery, and the answer sometimes is that a process fix comes before any model.
How do you decide whether a process is worth automating?
We look at volume, how repetitive the decision is, and what an error costs. High-volume, rules-based work with a cheap failure mode automates well. Low-volume judgment calls usually do not, and we will say so.
Who owns the models and the code?
You do. Deliverables, source code, and trained artefacts belong to the client, and we hand over documentation so another team could pick the work up.
How does an engagement with McDorcis start?
With a discovery call to understand the process you want changed and the constraints around it. From there we scope the work in writing — deliverables, timeline, and cost — before any build begins, so you are approving a defined piece of work rather than an open-ended retainer.
Related
Where to next
IT Solutions Outsourcing
A dedicated engineering team running part of your technology function.
Read moreCase study: Texas SoluTech
How a paper audit process became a platform carrying 1,000+ reports a week.
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