AI Without Business Context
Generic AI implementations fail because they are not connected to real business workflows. AI must be embedded where work actually happens.
AI Automation & Microsoft Copilot Integration
Production AI Built Into the Microsoft Tools Your Team Already Uses
Service Overview
AI Automation & Microsoft Copilot Integration
Microsoft Copilot and AI Builder bring generative AI and machine learning into the applications your employees use every day — Dynamics 365, Teams, Outlook, and Power Platform. But AI projects fail when they are not grounded in real business problems. Wazeiry's AI and Copilot practice starts with your highest-value automation opportunities and delivers production-ready AI capabilities with measurable ROI — not proofs of concept that sit unused.
40%
Reduction in Manual Tasks
Across Copilot-enabled teams
Days
Time to First AI Use Case
Not months of experimentation
100%
Governed Deployment
AI policy and audit trail built in
40%
Reduction in Manual Tasks
The Problem
Challenges This Service Solves
Understanding what is at stake helps clarify why a structured, expert-led approach matters.
Shadow AI Risk
Employees using personal ChatGPT accounts with business data creates compliance and data security risk.
Unclear ROI Path
Most organizations know AI could help but cannot identify which processes would deliver the highest return.
Integration Complexity
Connecting AI models to live business data in Dynamics 365 and M365 requires both AI expertise and ERP platform knowledge.
5
Deliverables
What's Included
Everything in Scope — Nothing Hidden
01
Copilot for Dynamics 365
Configuration and enablement of Microsoft Copilot capabilities across Finance, Sales, Supply Chain, and Customer Service.
02
AI Builder Custom Models
Custom document processing, classification, and prediction models built in AI Builder and deployed inside Power Apps and Dynamics 365.
03
Power Automate + AI Flows
Intelligent automation flows combining structured process automation with AI-powered decision points.
04
Microsoft Teams AI Integration
Teams bots and Copilot extensions that surface live Dynamics 365 data and trigger business processes.
05
AI Governance & Monitoring
Usage monitoring, prompt governance policies, AI model performance tracking, and audit logging.
How We Work
Our Delivery Process
A structured, repeatable methodology refined across enterprise Microsoft engagements.
Use Case Discovery Workshop
Structured workshop to identify and score AI automation opportunities by value, data readiness, and complexity.
Feasibility & Design
Data availability, model selection, integration architecture, and expected ROI documented and approved.
Pilot Build & Deployment
First AI capability built and deployed to a pilot user group using real business data and workflows.
Scale Deployment
Validated pilot capabilities rolled out with change management, role-based training, and adoption tracking.
Monitor, Optimize & Iterate
AI model performance, adoption rates, and business impact monitored continuously.
Expected Outcomes
What You Will Achieve
Measurable reduction in manual processing time across Finance, Sales, and Operations
AI capabilities embedded in D365 and Teams — not separate tools
Employee productivity gains with tracked adoption metrics
Enterprise AI governance and audit trail from day one
Clear, quantified ROI tied to specific business process outcomes
Get Started
Ready to Move Forward?
Talk to our team about your specific requirements. We will scope the right engagement, provide a transparent proposal, and have you started within days — not weeks.