- Solutions
Transform Your Business with Microsoft AI & Agentic Execution
Why Microsoft AI Adoption and Solutions Underperform?
Our Microsoft AI & Agentic Solutions Ecosystem
We deliver Microsoft AI ecosystem solutions according to your business needs, starting with out-of-the-box productivity solutions and scaling towards custom, pro-code engineering built around your business.
Microsoft 365 Copilot
A foundational AI assistant we embed directly into your engagement, organization, and communication suite. Microsoft 365 Copilot works in MS Word, Excel, Teams, and Outlook as we configure it to remove friction from daily admin work and not just focus on summarizing emails and docs.
Copilot Studio
The low-code, automation-ready tool we build with specialized conversational copilots. DynaSUM experts wire Copilot Studio directly into your business data to ensure Copilot becomes your team’s personal companion in finding accurate information in real-time.
Azure AI Foundry
The pro-code engineering environment that we use to design, fine-tune, and deploy custom multi-LLM models. Our experts build and deploy with corporate guardrails dictating the model’s scope of work and ability to access company data.
Microsoft IQ
The contextual intelligence layer DynaSUM AI engineers use to ground Microsoft models to align them with enterprise knowledge and Dataverse structures. This restricts your AI models and agents from guessing and actually understanding your business.
MCP Server
The integration engine our experts use to build with Model Context Protocol and allows autonomous agents to securely read and write data across your backend APIs and legacy systems.
Agent 365
We design and deploy autonomous agents and multi-agent workflows, embedding them across your tenant systems. The purpose is to execute cross-functional tasks without human intervention and allow agents to coordinate with each other.
Microsoft Agent Factory
DynaSUM’s proprietary framework for building, testing, governing, and scaling multi-agent systems across your organization. This is the difference between one clever agent and an operating model.
We Transform Microsoft AI Capabilities into Operational Reality
General AI solutions talk about the possibilities and capabilities, but at DynaSUM, we focus on closing your calendar, building the pipeline, and managing the inventory and more.
AI-Driven Finance & ERP
AI agents connected to Dynamics 365 Finance or Business Central automate AP/AR reconciliations quickly and accurately without human intervention. This means month-end close accelerates and the finance leadership gets real-time cash flow visibility instead of a report that’s three days too late by the time it lands.
Sales & Growth Automation Agents
Sales-qualified agents are wired into the Dynamics 365 Sales solution to qualify leads autonomously, draft personalized outreach communication, and keep pipeline forecasts updated. Your sales team stops entering data into a CRM and starts closing deals.
Supply Chain & Operations Resilience
Autonomous agents monitor inventory levels around the clock, flag procurement anomalies as they emerge, and alert operations leaders before a small disruption can lead to a stockout and you start losing customers. The warning arrives while there’s still time to fix the problem.
- Managing AI Exceptions: Where Automation Meets Human Expertise
DynaSUM engineers every agent with predefined confidence thresholds, giving them enough room to work autonomously. When an agent hits an anomaly, an edge case, or a confidence score below the line we set, it lets one of your team members or DynaSUM operations representatives take over.
The paused task escalates directly to DynaSUM’s managed operations and BPO teams without any ticket queue or delay. Our offshore accounting and back-office professionals pick up the exception, complete it manually, and feed the resolution back into the agent’s prompt logic. The agent learns while the client sees zero workflow disruption, because the work never actually stopped.
Strategic AI Alignment for Executive Leadership
Chief Executive Officer
We engineer agentic systems that accelerate organizational scalability and force measurable business transformation across your entire footprint.
Chief Financial Officer
We configure AI to extract maximum ROI from your existing Microsoft investments. You convert fixed operational overhead into variable efficiency while enforcing real-time auditability across your financial reporting.
Chief Technology Officers
We construct your AI architecture using Azure, Microsoft Entra ID, and Purview to guarantee strict data governance while systematically stripping out legacy technical debt.
Chief Operating Officer
We deploy agents that standardize inconsistent workflows, dismantle departmental data silos, and generate drastically higher operational throughput without inflating payroll
Our 12 Phase Methodology for Secure AI Integration
01.
Discover
Define the exact problem, business objectives, and evaluate current system constraints to document specific operational requirements.
02.
Assess
Review the existing processes to identify the functional gaps, data silos, and integration risks.
03.
Design
Map the future-state architecture and create its blueprint, including solution design while establishing strict governance controls.
04.
Build
Configure the environment, work on targeted custom AI agents, and automate the designated workflows while establishing communication.
05.
Train
DynaSUM experts prepare your team, admins, and key users with role-based instructions, which ensures immediate platform adoption.
06.
Test
To ensure the agents perform as intended, we run technical, functional, integration, and user testing to validate their real-world performance.
07.
Migrate
Extract, cleanse, transform, and validate existing data to feed it into AI systems, ensuring the agents and AI models operate on a trusted and accurate foundation.
09.
Integrate
Connect AI models directly to your Microsoft ecosystem and third-party business applications while securing the data transition from one agent, process, and workflow to others.
10.
Deploy
Based on a structured cutover plan, we push the solution securely and ensure it works with your live production environment.
11.
Stabilize
Dedicated hypercare to triage the process, where we fix early-stage issues and ensure the system operates as intended.
12.
Manage
Ongoing support for AI agents, models, and cloud operations to maintain reliability and reduce internal IT workload.
13.
Optimize
Continuously monitor performance and refine automation logic to identify new opportunities for increasing business value.
Unlock New Opportunities with Microsoft AI Solutions.
Partner with DynaSUM, a certified Microsoft partner, to build, deploy, and maintain your AI solutions offering transformative benefits to your business. Our expertise in AI ensures you harness the full potential of your data, processes, and workflows.
FAQs
1. What is the difference between Microsoft 365 Copilot and Azure AI Foundry?
Microsoft 365 Copilot is a ready-to-use AI assistant inside your existing productivity apps. Azure AI Foundry is a pro-code engineering environment for building and fine-tuning custom LLM models.
2. How does DynaSUM secure our enterprise data when building custom AI agents?
Every agent we deploy runs inside your Azure tenant boundary. These boundaries are governed by Microsoft Entra ID for identity verification and Purview for data classification and compliance. At DynaSUM, we don’t move your data to build intelligence on top of it; data stays there, secure but also accessible by the right person and AI agent.
3. Can you integrate Microsoft AI tools with our legacy non-Microsoft ERP?
The MCP Server is built specifically to integrate Microsoft agents with legacy non-Microsoft solutions and connect them to non-Microsoft back-end systems, legacy ERPs included, through secure, governed API pathways.
4. How do you ensure Copilot adoption across our workforce?
Adoption is a training and workflow-redesign problem, not a licensing problem. We map Copilot into specific processes your teams already run, train against those use cases directly, and track usage against productivity metrics, not login counts.
5. How long does a typical Microsoft AI readiness assessment take?
Most assessments run two to four weeks, covering your current Microsoft licensing footprint, data architecture, and priority use cases. With DynaSUM, you will get a comprehensive report and scoped roadmap instead of a generic slide deck.
Still have questions?
We’re happy to help. Reach out to discuss your needs, challenges, and how AI can fit your business.