
Transform Your Business with Practical AI Implementation
Stop wondering about AI potential. Start seeing results. We implement practical AI solutions that reduce costs, accelerate processes, and unlock insights - with measurable ROI in 12-18 months.
AI Without the Hype
Everyone's talking about AI,
but most businesses struggle with:
- Separating hype from practical reality
- Understanding where AI actually adds value
- Finding experts who can implement (not just theorize)
- Justifying ROI to leadership
- Integrating AI with existing systems
- Ensuring data privacy and compliance”
We focus on practical AI
that solves real problems:,
- Business problems first, technology second
- Clear ROI projections before implementation
- Integration with your existing systems
- Compliance-first approach (GDPR, industry regulations)
- User adoption as priority
- Results in weeks, not years
Harness the Power of Azure AI Foundry

Azure AI Foundry provides enterprise-ready infrastructure for building, training, and deploying custom AI models at scale. Our expertise spans the entire AI development lifecycle—from model selection and fine-tuning to production deployment and monitoring. We work with leading language models including GPT-4, Llama, and Phi, customizing them to understand your industry terminology, business processes, and compliance requirements.
Whether you need to process thousands of maritime emails daily, automate complex document workflows, or build intelligent chatbots that truly understand your customers, we architect solutions that combine Azure AI Foundry’s robust platform with our deep technical expertise. Every solution is designed for production reliability, cost efficiency, and seamless integration with your existing Microsoft ecosystem.
What We Can Do With AI?
Transform your business with intelligent automation, machine learning, and AI-driven insights. We implement practical AI solutions that deliver measurable ROI.

Microsoft Copilot Integration
Maximize your Microsoft 365 investment with Copilot integration, custom plugins, and enhanced AI capabilities across your ecosystem.
Typical Results:
- 30% productivity boost
- Seamless workflow integration
- Unified AI experience
Common Use Cases:
- Copilot for SharePoint
- Custom Copilot plugins
- Teams AI enhancement
- M365 ecosystem AI optimization
Intelligent Document Processing
Automatically extract, classify, and process information from documents. From invoices to contracts, AI reads, understands, and routes documents without human intervention.
Typical Results:
- 80% reduction in manual data entry
- 95% accuracy in data extraction
- Processing time: hours → minutes
Common Use Cases:
- Invoice processing and AP automation
- Contract analysis and extraction
- Form data extraction
- Document classification and routing


AI-Powered Search & Knowledge Discovery
Transform how employees find information. Natural language search understands intent, delivers relevant results, and learns from usage patterns.
Typical Results:
- 70% reduction in search time
- 3x improvement in first-result accuracy
- 50% decrease in support tickets (“can’t find”)
Common Use Cases:
- Enterprise knowledge base search
- SharePoint intelligent search
- Customer support knowledge bases
- Document repository navigation
Workflow Automation & Intelligent Routing
AI-driven workflows that make decisions, route items intelligently, and predict bottlenecks before they happen.
Typical Results:
- 50-60% faster approval cycles
- 90% reduction in routing errors
- Proactive bottleneck prevention
Common Use Cases:
- Intelligent approval routing
- Priority-based task assignment
- Escalation prediction and prevention
- Resource allocation optimization

Ready to Transform Your Business with AI?
Deep Microsoft 365 and SharePoint expertise with 10+ years of proven implementation experience. We also integrate with any platform in your technology stack – from cloud services to legacy systems.

Predictive Analytics & Forecasting
Leverage historical data to predict outcomes, forecast trends, and make data-driven decisions with confidence.
Typical Results:
- 30-40% improvement in forecast accuracy
- Early warning on potential issues
- Data-driven decision making
Common Use Cases:
- Demand forecasting
- Maintenance prediction
- Risk assessment
- Customer churn prediction
Conversational AI & Chatbots
Intelligent chatbots and virtual assistants that handle routine inquiries, guide users through processes, and escalate complex issues.
Typical Results:
- 60-70% of routine inquiries automated
- 24/7 availability
- 80% user satisfaction scores
Common Use Cases:
- IT helpdesk automation
- HR employee self-service
- Customer support first-line
- Internal FAQ bots

Real-World Success Stories
Proven solutions delivering measurable results across industries
Modern Digital Workplace Transformation
Challenges
- Outdated intranet platform with low adoption rates and poor user experience
- Critical information fragmented across different systems creating communication silos
- No unified governance for documents and content structure
- Difficulty finding reliable, up-to-date information across departments
- Need to support operations in 30+ languages simultaneously
Solution
- Modern intranet architecture with unified design across all regions
- Predefined template library for rapid deployment of landing pages and departmental dashboards
- Global information architecture with consistent metadata and content tagging
- Focused departmental hubs for IT and HR centralizing documents, announcements, and applications
- Multi-language support for seamless global collaboration
Outcomes
- Deployment completed in 10 months across 30+ countries and 100,000 employees
- Significantly improved communication, collaboration, and information exchange
- Better structured documents using global metadata leading to increased discoverability
- Successful transition to modern workplace with intuitive single platform
- Enhanced employee productivity through centralized access to organizational information
Multi-Layered Knowledge Management System
Challenges
- Knowledge silos between expert teams and general employees
- Difficulty accessing technical documentation and best practices
- No centralized repository for architecture blueprints and technical content
- Complex technical content not accessible to non-expert staff
- Inefficient onboarding and continuous learning processes
Solution
- Expert Portal: Centralized repository for technical documentation, best practices, and architecture blueprints with advanced search and tagging
- Employee Portal: Simplified, role-specific content for customer support, sales, and operations teams
- Smart Connector: AI-driven content transformation converting expert-level content into easily understandable formats using accordion layouts, hero banners, and landing page dashboards
- Integration with SharePoint and Microsoft Copilot for enhanced content creation and review workflows
- Embedded learning modules and quick guides for employee development
Outcomes
- Improved knowledge accessibility with simplified, role-specific insights
- Enhanced operational efficiency with reduced time searching for information
- Content governance ensuring quality and reliability through expert review processes
- Scalable architecture supporting global teams with localized, multilingual content
- Better employee productivity through user-friendly access to expert knowledge
CONAIS Dynamic Forms for IT Asset Management
Challenges
- Inefficiencies in repetitive IT equipment request processes
- Manual reviews causing delays in fulfillment
- Inconsistent approval decisions reducing productivity
- Lack of business justification documentation
- No automated routing or tracking of requests
Solution
- On-the-fly form creation based on equipment type and requirements
- AI-powered field suggestions and auto-completion
- Business justification generator creating compelling rationales automatically
- Intelligent approval routing to appropriate managers
- Change tracking and commenting system for transparency
- Full integration with Microsoft 365 ecosystem
Outcomes
- Reduced manual work and administrative overhead
- Improved decision quality through AI-driven suggestions
- Faster approval cycles and equipment fulfillment
- Adaptable to any department and use case
- Multilingual team support
- Seamless integration with existing Microsoft 365 tools
CargoScout - Intelligent Cargo Matching System
Challenges
- Brokers spending 4 hours per day manually sorting through cargo emails (1,000 hours/year per broker)
- Missing time-sensitive cargo opportunities while searching through irrelevant messages
- Delayed responses to shippers allowing competitors to win deals
- Difficulty scaling operations as email volume increases
- Human errors in matching cargo to ship capabilities
Solution
- 24/7 automated inbox monitoring without workflow interruption
- AI analysis of email content matching cargo requirements to ship capabilities
- Instant notifications to brokers for relevant opportunities
- Runs on dedicated computer separate from user workstations
- Intelligent tagging and categorization of cargo offers
Outcomes
- Save 2 hours per broker per day (500 hours/year saved per broker)
- ROI achieved in under 3 weeks
- Time savings worth €450,000/year for 10-broker team (based on €90/hour rate)
- Faster response times leading to more deals closed
- Reduced frustration with streamlined workflow
- Fewer quoting mistakes with automated capability matching
- Scalable solution reviewing more emails than humanly possible
Business Evaluator - Instant Startup Validation
Challenges
- Entrepreneurs spend months building ideas without proper validation
- Hiring business consultants costs $5,000-$15,000 and takes 2-3 weeks
- Friends and family provide biased feedback instead of honest, objective analysis
- No structured framework to evaluate feasibility, market readiness, and AI potential
- 90% of startups fail due to poor initial idea validation
- Lack of data-driven insights on what makes ideas succeed or fail
Solution
- User-friendly form capturing idea description, industry, budget, and target market
- Advanced AI analyzes business ideas in under 10 seconds
- Dual Evaluation Modes: BRUTAL (KEEP/PIVOT/KILL - brutally honest) vs. FRIENDLY (PAUSE/PIVOT/KEEP - constructive feedback)
- Structured Output: Clear judgment, numerical score (0-10), AI readiness assessment across 4 key metrics
- Detailed analysis with actionable next steps and monetization suggestions
- Automated email reports sent directly to users
Outcomes
- Instant feedback versus 2-3 week consultant turnaround time
- Zero cost versus $5,000-$15,000 consultant fees (99%+ cost savings)
- 100% honest, unbiased AI analysis free from personal relationships
- Structured data insights: 4 AI readiness dimensions (data availability, technical feasibility, market fit, ROI potential)
- Actionable next steps and concrete monetization suggestions
- Available 24/7 with unlimited evaluations
- ROI realized immediately through avoided costs and wasted development time
- • Week 1: AI evaluation engine setup and testing
- • Week 2: User interface development and dual-mode calibration
- • Week 3: Final testing, deployment, and go-live
How We Deliver AI Projects
Transform your business with intelligent automation, machine learning, and AI-driven insights. We implement practical AI solutions that deliver measurable ROI.
Phase 1
Discovery & Strategy (Week 1-3)
What We Do:
- Analyze current processes and identify AI opportunities
- Assess data quality and system landscape
- Prioritize use cases by ROI potential
- Create implementation roadmap with timeline and budget
You Get:
- AI Readiness Report with prioritized opportunities
- ROI projections for each use case
- Clear go/no-go recommendation
- Detailed implementation plan
Phase 2
Proof of Concept (Week 4-7)
What We Do:
- Build working prototype for highest-value use case
- Test with real data to validate accuracy
- Demonstrate feasibility and expected results
- Refine approach based on findings
You Get:
- Working PoC with actual results
- Performance metrics and validation
- Stakeholder demo
- Confirmed approach for full implementation
Phase 3
Build & Integrate (Week 8-14)
What We Do:
- Develop production-ready AI solution
- Integrate with your existing systems (SharePoint, ERP, CRM, etc.)
- Build user interfaces and workflows
- Train and optimize AI models
- Comprehensive testing and security validation
You Get:
- Fully functional AI solution
- Complete system integration
- Documentation and technical specs
- Tested and validated system ready for deployment
Phase 4
Deploy & Optimize (Week 15+)
What We Do:
- Roll out to production environment
- Train users and provide change management support
- Monitor performance and gather feedback
- Continuously improve AI models
- Provide ongoing support and optimization
You Get:
- Live production system
- Trained team ready to use the solution
- Performance monitoring dashboards
- Continuous improvement plan
- Dedicated support
AI Solutions for Every Department
Finance & Accounting
Use Cases:
- Invoice processing automation (OCR + AI validation)
- Expense report analysis and fraud detection
- Cash flow forecasting with ML
- Automated reconciliation
- Vendor risk scoring
HR & Employee Services
Use Cases:
- Resume screening and candidate matching
- Employee sentiment analysis
- Chatbot for HR inquiries
- Performance review insights
- Turnover prediction
Operations & Manufacturing
Use Cases:
- Quality inspection with computer vision
- Predictive maintenance
- Production optimization
- Inventory forecasting
- Supply chain risk prediction
Sales & Marketing
Use Cases:
- Lead scoring and prioritization
- Sales forecasting
- Customer segmentation
- Churn prediction
- Content personalization
Customer Service
Use Cases:
- AI chatbots for first-line support
- Ticket classification and routing
- Sentiment analysis
- Response suggestion
- Issue prediction
IT & Technology
Use Cases:
- Intelligent service desk automation
- Security threat detection
- Log analysis and anomaly detection
- Code review assistance
- Infrastructure optimization
Technologies We Work With

Azure OpenAI Service

Azure Cognitive Services

Azure Machine Learning

Azure Form Recognizer

Azure Bot Service

Power Platform AI Builder

Azure AI
Why Azure?
Seamless integration with Microsoft 365 and SharePoint, enterprise-grade security, GDPR compliance, hybrid cloud support.
Your AI Questions Answered
Depends on complexity. PoC: 4-6 weeks. Full implementation: 12-20 weeks. We provide detailed timeline during assessment
No. We handle the AI complexity. You provide business knowledge and feedback. Training included for ongoing management.
Automation: Rule-based repetition. ML: Learning from data to make predictions. AI: Broader intelligence including understanding language, images, etc. We use all three as appropriate.
Yes! We recommend this. Prove value with one use case, then expand. Most clients start with pilot, then roll out enterprise-wide.
Enterprise AI platforms (Azure, AWS) are SOC2, ISO 27001 certified. We implement role-based access, data encryption, and compliance frameworks (GDPR, HIPAA). Your data stays in your environment; we don’t train public models on your data.
No. AI augments human capabilities, doesn’t replace them. It handles repetitive, time-consuming tasks, freeing employees for strategic, creative, and relationship work. Our clients typically redeploy staff to higher-value activities, not reduce headcount.
Many AI solutions work with modest data. Pre-trained models (like GPT-4, Azure AI) don’t require your training data. We assess data requirements during evaluation and can implement data collection strategies if needed.
We design solutions your team can manage. Comprehensive training, documentation, and ongoing support included. For complex systems, we offer managed services.
We start with proof of concept to validate before full investment. Clear success metrics defined upfront. Most projects show measurable results within 3-6 months of deployment.
Yes. We specialize in integrations. APIs, databases, file-based transfers, real-time sync – we connect AI to existing systems regardless of age.
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