We work out how Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Fabric and Agent 365 fit together in your company: which tool for which use case, what the licences and consumption will cost, and how to govern it in the EU. Then we build and run the first agents. Advice driven by your use cases, not by licence targets.
The Microsoft stack we architect
“Microsoft AI platform” is not an official product name but the common term for Microsoft's stack to build, run and govern AI: Microsoft 365 Copilot and Copilot Studio for business teams, Microsoft Foundry for developers, Fabric and the Microsoft IQ layers for data, and Entra, Purview and Agent 365 for control. Microsoft itself calls this stack the Microsoft Agent Platform.
It helps to think in four layers. People use AI inside Microsoft 365 Copilot, including the Researcher and Analyst agents and Copilot Cowork for long-running tasks. Agents are built in Copilot Studio (low-code) or Microsoft Foundry (pro-code: Foundry Agent Service, Microsoft Agent Framework 1.0 and a catalogue of over 10,000 models that now includes Azure OpenAI). Knowledge comes from Work IQ, Fabric IQ and Foundry IQ. Microsoft Entra Agent ID, Purview and Agent 365 keep every agent identifiable, compliant and secure.
encorp.ai designs how these layers work together for companies in Bulgaria and the EU. We set the reference architecture, pick the tool for each use case, model licence and consumption costs, configure governance and EU processing, and then deliver and operate the first agents with AI-OPS.
Sales buys Copilot seats, operations pilots Copilot Studio, IT experiments in Foundry. Each pilot works on its own — then the costs of skipping architecture show up: a separate knowledge index per project, agents without owners, credit and token bills nobody forecast, and a security review that stops go-live because nobody decided on flex routing, model data zones or Agent 365 prerequisites. The fix is not another pilot but a platform decision made once and applied to every agent.
A Microsoft AI platform is a set of choices about tools, data, identity and cost. We make those choices with you, write them down, and prove them with working agents.
A target design for the experience, build, knowledge and control layers — environments, identity, integration patterns and naming — so every new agent follows the same rules.
Microsoft 365 Copilot agent, Copilot Studio, Foundry or a hybrid, decided with the Cloud Adoption Framework logic and a 1–2 week time-boxed prototype where the answer is unclear.
Copilot seats, Copilot Credits, model tokens, hosted-agent compute and Agent 365 modelled per use case, including Copilot Business, E7 and pre-purchase options.
Entra Agent ID policies, Purview labels and DLP, the Agent 365 registry, Data Zone EU deployments and a documented flex-routing decision, aligned with the EU AI Act.
One permission-aware knowledge layer instead of an index per project: Work IQ for Microsoft 365, Foundry IQ over SharePoint and OneLake, Fabric for analytics data.
We build the first agents on the chosen tools, then monitor quality, cost and failures in production using Foundry Control Plane tracing and Agent 365 oversight.
Typical architectures we design and build. Each lists the Microsoft components involved, because the value is in the combination, not in a single tool.
Business owners maintain the dialogue and approval steps in Copilot Studio, while a model deployed in Foundry and Foundry IQ over SharePoint return permission-aware answers.
Answers margin, cash and budget-variance questions from governed data in OneLake and drafts month-end commentary for the controller to review before it is shared.
Inventories existing agents across Copilot Studio, Foundry and third-party tools, assigns an owner to each, applies Entra and Purview policies and retires orphaned agents.
A hosted agent written with Microsoft Agent Framework calls internal systems through MCP on private networking, then is published to Teams and Microsoft 365 Copilot with its own Entra identity.
Reps use Researcher for account briefs grounded in company data through Work IQ, and Copilot Cowork for multi-step review packs — switched on deliberately, as it is billed in credits.
A website agent answers customers and checks order status in the ERP, running on a model deployed in Data Zone EU, with credit caps, Purview audit and flex routing reviewed.
The tools are the same in all three approaches. What changes is who decides, in what order, and whether the decisions hold when the tenth agent goes live.
| Tool-by-tool pilots | Single-vendor licence push | Platform architecture with encorp.ai | |
|---|---|---|---|
| How tools are chosen | Whichever team starts first | Whatever the licence bundle includes | Per use case: ready-made agent, then Copilot Studio, then Foundry |
| Governance | Separate settings per pilot; agents without owners | Licences bought before policies exist | One model: Entra Agent ID, Purview, Agent 365, Foundry Control Plane |
| Cost control | Credits and tokens discovered on the invoice | Seats for everyone, whether used or not | Seat, credit and token forecast per use case, with caps |
| Data grounding | A new index for every project | Microsoft 365 data only | Shared knowledge layer: Work IQ, Foundry IQ, Fabric |
| Time to value | Quick demos, slow path to production | Rollout first, use cases later | Blueprint in weeks, first results in 2–4 weeks per agent |
| EU compliance | Checked late, often blocks go-live | Vendor defaults left as they are | Data zones, flex routing and model residency decided up front |
| Vendor lock-in | Accidental, spread across tools | High — the design follows the bundle | Deliberate: MCP and A2A standards, model choice, third-party agents governed too |
A typical blueprint takes about four weeks. Large tenants or strict security reviews take longer, and we say so after the free review.
We map your licences, tenants, existing agents and pilots, data sources and current EU settings, and collect the use cases each department wants.
We define the target architecture, assign a tool to each priority use case and plan time-boxed prototypes where the choice is not obvious.
We set Entra Agent ID and Purview policies, check Agent 365 prerequisites, separate environments and record decisions on data zones and flex routing.
We build and pilot the first agents on the chosen tools, track quality and cost in production, and turn the rest of the list into a roadmap.
Start with a free review. The blueprint is scoped to your tenant, number of use cases and governance needs, and gets a fixed price before any work starts.
All encorp.ai prices exclude VAT.
An outside view of your Microsoft AI stack
30 minutes · online
Architecture, licensing and governance, decided
fixed scope and price after the review
Run and extend the platform
per month · minimum 6 months
Microsoft licences and Azure consumption are billed by Microsoft or your reseller, not by encorp.ai. Vendor prices are list prices as of September 2026. Individual agent builds start from €500 per automation.
Case studies from clients in fintech, telecom, logistics, media and e-commerce — the same engineering team that designs your platform builds on it.
Implemented a custom AI agent for Econt, the leading logistics provider in Bulgaria, to automate customer support.
Vivacom is one of the leading telecommunications companies in Bulgaria, offering a full range of services including mobile, fixed-line, internet, and digital television. As part of the United Group, Vivacom is recognized for its innovation, reliable network infrastructure, and customer-centric approach. The company serves millions of residential and business clients, delivering high-speed connectivity, advanced telecom solutions, and cutting-edge digital services across the country. With a strong focus on digital transformation, 5G technology, and smart business solutions, Vivacom continues to play a key role in shaping the future of Bulgaria’s telecom sector.
Delivered AI-focused educational trainings for Forbes Bulgaria to empower business leaders with practical knowledge.
Share your licences, pilots and the use cases on your list. A senior engineer replies within one working day with a first view on architecture, tool fit and cost.
My experience with Encorp has been excellent, especially in terms of the quality and dedication of the engineers that we’ve onboarded through them.
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650+ AI automations deployed · Sofia-based, Bulgarian and English · EU AI Act-aligned · Prices exclude VAT