Microsoft AI Partnership for System Integrators
Deliver cutting-edge Microsoft AI solutions to your clients without the risk and cost of building an in-house AI team
The Microsoft AI Implementation Challenge
System Integrators face significant challenges when implementing Microsoft AI solutions for their clients
Expertise Challenge
Finding and retaining specialised Microsoft AI talent is difficult and expensive
- ✓AI expertise is in high demand and short supply
- ✓Specialised knowledge required for Microsoft AI
- ✓High cost of building an in-house team
Time-to-Market
Clients expect rapid implementation of Microsoft AI solutions
- ✓Microsoft's rapid AI innovation pace
- ✓Client expectations for quick delivery
- ✓Learning curve slows implementation
Implementation Risk
AI projects have higher uncertainty and risk of failure
- ✓Technical complexity and integration challenges
- ✓Security and compliance considerations
- ✓Unpredictable timelines and costs
Scaling Limitations
Difficulty scaling Microsoft AI delivery across multiple clients
- ✓Resource constraints limit growth
- ✓Inconsistent quality across projects
- ✓Knowledge silos within teams
Our White-Label Partnership Model
RAD works behind the scenes as your Microsoft AI implementation team, allowing you to maintain client relationships while delivering cutting-edge AI solutions
Your Role
- ✓Maintain client relationships
- ✓Identify Microsoft AI opportunities
- ✓Handle client communication
- ✓Manage project oversight
- ✓Provide domain expertise
RAD's Role
- ✓Technical scoping and planning
- ✓Microsoft AI implementation
- ✓Solution development
- ✓Technical documentation
- ✓Knowledge transfer
Implementation Methodology
Our approach to delivering Microsoft AI solutions in typically within 8 weeks
Requirements Analysis
Week 1
Requirements gathering and solution planning
Solution Design
Week 2
Solution architecture and technical design
Agile Development
Week 3-6
Implementation and integration with Microsoft AI
Knowledge Transfer
Week 7-8
Testing, deployment, and knowledge transfer
Eliminate Implementation Risk
Our approach eliminates the financial, technical, and relationship risks typically associated with Microsoft AI projects
Fixed-Price Model
Predictable costs with no surprises or scope creep
- Clear project scope and deliverables
- Transparent pricing structure
- No hidden costs or overruns
Specialised Expertise
Deep Microsoft AI knowledge without hiring specialised talent
- Microsoft-certified AI specialists
- Proven implementation methodology
- Continuous knowledge of Microsoft updates
White-Label Approach
Maintain client relationships while we work behind the scenes
- You remain the primary client contact
- We operate as part of your team
- Seamless client experience
Rapid Time-to-Value
Deliver Microsoft AI solutions typically within 8 weeks instead of several months
- Accelerated implementation timeline
- Quick wins to demonstrate value
- Faster ROI for your clients
Microsoft AI Solutions
We implement a range of Microsoft AI solutions to meet your clients' needs
Copilot & Azure OpenAI
Custom Copilot implementations and Azure OpenAI solutions
- Custom Copilot development
- Azure OpenAI integration
- Fine-tuning
- Prompt engineering
AI Chatbots
Intelligent conversational agents for customer and employee support
- Azure Bot Service
- Language Understanding
- Knowledge base integration
- Multi-channel deployment
Process Automation
AI-powered automation for business processes and workflows
- Document processing
- Workflow automation
- Intelligent form processing
- Business process optimisation
LLM-Powered Search
Intelligent search solutions using large language models
- Semantic search capabilities
- Document understanding
- Natural language queries
- Personalised results
Ready to Enhance Your Microsoft AI Capabilities?
Partner with RAD to deliver cutting-edge Microsoft AI solutions to your clients without building an in-house AI team