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Microsoft Foundry, Copilot, Agentic AI

Exquitech designs, builds and governs enterprise AI on the Microsoft stack with the architecture, evaluation and controls that survive an audit.

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Overview

Most organizations have already proved that generative AI works in a demo. The hard part is what comes next: giving agents trustworthy access to enterprise data, making their answers explainable, keeping cost predictable, and governing a growing population of agents without losing control of identity, permissions and audit.

That is the work Exquitech does. We architect and deliver AI systems on Microsoft Foundry, Microsoft Fabric, Microsoft 365 Copilot and Copilot Studio grounded in a customer’s own data, semantics and security model. Our teams cover the full path: readiness and use-case selection, solution architecture, data and knowledge engineering, agent development, evaluation, secure deployment into an AI landing zone, and ongoing operation.

We are model-agnostic by design. The model is a component, not the strategy. What determines whether an AI system earns its place in production is the quality of the context it retrieves, the discipline of how it is evaluated, and the governance wrapped around it.

Background

Microsoft Foundry: the agent platform

  • Model choice, not model lock-in

    Foundry’s catalogue spans frontier and open-weight models; OpenAI, Anthropic, Mistral, Meta, xAI, Cohere and others behind one endpoint, one identity model and one Azure invoice, with usage counting toward existing Azure commitments. We benchmark candidate models per workload against the metrics that actually matter for that workload: reasoning depth, latency under real concurrency, multilingual quality, and cost per thousand documents or conversations. Frequently the right answer is a tiered design, a frontier model for the hard reasoning step and a fast, low-cost model for classification, extraction and routing.

  • Agents and orchestration

    We build single-purpose agents and multi-agent systems using Foundry Agent Service and the Microsoft Agent Framework, with the Model Context Protocol (MCP) for tool and data access and agent-to-agent (A2A) messaging for delegation between specialised agents. Typical designs pair a planner with domain agents, a retrieval layer, deterministic business logic where determinism is required, and explicit human-in-the-loop checkpoints.

  • AI Services for real-world inputs

    Enterprise processes rarely start with clean text. We combine Foundry models with Azure AI Services; Document Intelligence, Content Understanding, Vision, Speech and Language to handle scanned PDFs, photographs, forms, email threads and telephony audio, in Arabic and English.

  • Evaluation and observability as a deliverable

    Agents that cannot be measured cannot be trusted. Every engagement includes an evaluation harness: golden question sets for retrieval quality, groundedness and citation checks, offline metrics for predictive models, tracing across agent steps and tool calls, and regression gates before any prompt or model change reaches production. Continuous evaluation runs after go-live, not only before it.

  • Built for a real landing zone

    Production AI is an infrastructure problem as much as a model problem. We deploy into properly architected landing zones; private endpoints and network isolation, Entra ID and role-based access control, key and secret management, Purview-based data governance, cost guardrails, and regional data residency for customers with sovereignty requirements in the UAE, Saudi Arabia and the wider Gulf.

The Microsoft IQ layer: context is the differentiator

Two organizations can deploy the same model and get very different results. The difference is context. Microsoft’s intelligence layer gives agents governed, permission-aware access to what an organization knows, how it operates and what its data means. Exquitech designs and implements across all four layers.

  • Fabric IQ – what the business means

    The semantic layer over structured data in OneLake and Power BI. We model ontologies, graphs and semantic models so that “customer”, “order”, “deferment” or “approval threshold” carry the customer’s own definition, then expose Fabric data agents so business users and other agents can query analytics conversationally and consistently.

  • Foundry IQ – what the organization knows

    The managed knowledge layer for unstructured content across Azure, SharePoint, OneLake and the web. Instead of hand-building a separate retrieval pipeline for every repository, we configure one permission-aware knowledge base with agentic retrieval; query planning, parallel source search, permission enforcement and cited answers.

  • Work IQ – how work actually happens

    Signals from Microsoft 365: documents, meetings, chats and workflows. This is what lets an agent understand who owns a process, what was decided last week, and where a request sits rather than treating every question as context-free.

  • Web IQ – what is true right now

    Low-latency, ranked grounding in live external information for use cases such as market monitoring, competitor tracking, regulatory watch and supplier due diligence.

Microsoft 365 Copilot and Copilot Studio

Copilot has moved well beyond in-app assistance. It is now an agent platform, and adoption programs that stop at license deployment leave most of the value untouched.

Reasoning agents inside Copilot

Microsoft 365 Copilot ships specialized reasoning agents that change what the product is for. Researcher performs multi step research across email, meetings, files, chats, the web and connected line of business systems to produce sourced analysis. Analyst writes and runs Python against spreadsheets and datasets for forecasting, cohorting and visualization. We help organizations identify which roles and workflows these agents genuinely replace work in and set the data boundaries they operate within.

Copilot Studio: agents that act

Copilot Studio is now a distinct build platform, not a Copilot setting:

  • Computer using agents (generally available) operate desktop and web applications directly, filling forms, clicking through screens and completing UI tasks in legacy systems that expose no API, with managed credentials and model choice.
  • The redesigned workflows canvas combines agent reasoning, API calls, approvals, business logic and UI actions on one surface, so deterministic steps stay deterministic.
  • Real time voice agents (generally available), available through Dynamics 365 Contact Center, handle inbound and outbound telephony with caller identification, in conversation actions, and warm handoff to human agents with context preserved.
  • Model choice and interoperability let a Copilot Studio agent call Foundry models, MCP tools and Work IQ context, so low code and pro code agents share one architecture rather than forming two disconnected estates.
Background

Adoption that is measured in processes, not seats

Our adoption engagements start from process selection and data readiness, then cover configuration, agent design, change management, usage analytics and an ROI baseline agreed before deployment rather than argued about after it.

Customer Benefits

Discover how Exquitech achieve adoption momentum and impact with Microsoft 365.

  • Enhanced productivity

    Automates routine tasks, allowing users to focus on more strategic and creative work.

  • Data-driven insights

    Provides advanced analytics and AI-driven insights to support informed decision-making.

  • Personalized assistance

    Tailors responses and actions based on user preferences and context, improving efficiency.

  • Seamless integration

    Works smoothly with Microsoft 365 applications, enhancing overall workflow and collaboration.

  • Improved communication

    Helps manage and streamline communication by summarizing emails, suggesting responses, and prioritizing messages.

  • Cost efficiency

    Reduces the need for multiple standalone tools, lowering overall IT costs.

  • Scalability

    Easily adapts to the growing needs of businesses, providing flexibility and scalability.

Background

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Our deployment experts are ready, experienced and tooled to help your business adopt Exquitech technologies and solutions. Let’s chat.

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