AI Agent Development & Automation Services
Build AI that works inside your Microsoft workflows — not alongside them.
We design and deploy AI agents embedded directly into your operations — handling requests, retrieving knowledge, and executing tasks across your systems.
Business First
Code Next
Let’s talk
AI pressure becomes operational risk
AI initiatives fail not because of technology — but because they don’t integrate into real workflows.
The result:
- Pilots that never reach production
- Teams still working manually
- Knowledge locked across systems
- No clear ROI
AI only works when it becomes part of execution.
We build AI agents that:
- operate inside Teams, Dynamics, SharePoint
- connect to your real data and systems
- execute tasks, not just answer questions
We replace manual work and fragmented knowledge — migrating your processes into AI-driven execution.
Move from AI pilots to production-ready agents
Business First
Code Next
Let’s talk
Knowledge Doesn’t Scale — Until It’s Structured
Information is fragmented across systems — Dynamics, SharePoint, Teams, email.
Teams spend time searching instead of executing, and expertise becomes tribal and doesn’t scale.
We implement a unified AI access layer across your ecosystem:
- Natural language access to the right information
- Context-aware responses with source references
- Guided workflows for recurring tasks
- Reuse of institutional knowledge across teams
The result: faster execution, reduced dependency on individuals, and scalable knowledge access.
What You Can Expect
Measurable impact from production AI systems
Support queries handled autonomously
50%+
Manual research reduced
70%
Response time improvement
2×faster
Where AI Delivers Immediate Value
We implement AI where it directly improves execution:
Customer & Internal Support
AI agents handling support, HR, and IT requests
Knowledge & Search
Natural language access to internal systems and documents
Document Processing
Automated extraction, validation, and routing
Decision Support
Prioritization, risk scoring, next-best actions
Monitoring & Risk Detection
Early detection of anomalies and compliance risks
Operational Optimization
Predictive insights for demand, capacity, and performance
What This Looks Like in Practice
Real use cases. Measurable impact.
Support Automation
AI agents handle repetitive support queries and internal requests — reducing manual workload and improving response consistency.
- Queries handled autonomously — 50%+
- Response time — 2× faster
- Manual workload — hundreds of hours saved quarterly
Compliance Knowledge Access
AI retrieves regulatory information across systems — replacing manual research and reducing compliance risk.
- Research time — 70% faster
- Query resolution — 30 min → 2 min
- Compliance incidents — 40% reduction
Technical Knowledge & Support
AI provides instant access to technical documentation and historical data — reducing downtime and support load.
- Machine downtime — 45% reduction
- Support tickets — 60% fewer
- Customer satisfaction — 85% CSAT
What We Build
AI that executes real business tasks — not isolated features.
Knowledge & Support Agents
Instant access to information across systems — reducing search time and improving response accuracy.
AI-Driven Workflows
Automated handling of requests, approvals, and operations — reducing manual effort and cycle time.
Document & Data Processing
Extraction, validation, and routing of business data — eliminating manual handling and errors.
Decision Support & Intelligence
Context-aware recommendations and prioritization — enabling faster, more accurate decisions.
Built on Your Microsoft Stack
AI runs where your business already works
- Microsoft Teams
- Dynamics 365
- SharePoint
- Outlook
Powered by
- Copilot Studio
- Azure OpenAI
- Power Automate
- Microsoft Graph & APIs
How We Deliver
Structured delivery. Clear outputs. No guesswork.
Step 0 (Optional): AI Readiness & Value Discovery
What we do
Map workflows, assess data and systems, and identify high-impact AI use cases.
What you get
Prioritized use cases with ROI, feasibility, and clear go / defer decisions.
Step 1: Architecture & Solution Design
What we do
Define where AI operates, how it connects, and how access is controlled.
What you get
A scalable architecture aligned with your existing environment.
Step 2: Build & Integrate
What we do
Develop AI agents, workflows, and integrations across systems.
What you get
Working AI embedded in your operations — not prototypes.
Step 3: Operationalize & Scale
What we do
Monitor usage, refine behavior, and expand use cases.
What you get
Adopted, scalable AI with measurable business impact.
Governance Built In
AI only works if it’s safe to run.
We build governance into delivery from day one:
- Access and permission control
- Data scoping and audit logging
- Cost and usage monitoring
- Versioning and rollback
Result:
AI that is auditable, controlled, and production-ready from day one
Why CodeIT
We don’t build AI demos. We deploy working systems.
Built Inside Your Workflows
AI runs inside Teams, Dynamics, and your existing systems — not as a separate tool.
Low-Code Speed + Engineering Depth
Fast to start, with full flexibility for complex logic, integrations, and scale.
Designed for Adoption and Scale
Governed from day one, built to run in production and expand across use cases.
Start with a Use Case, Not a Pilot
AI doesn’t need a big transformation.
It needs the right starting point.
→ Plan Your AI Use Case
→ Request an AI Readiness Assessment