We design, code and operate AI agents and applications on Microsoft Foundry: Foundry Agent Service, Microsoft Agent Framework, Foundry IQ and the model that fits your quality, cost and data-residency requirements. Evaluated, traced and guarded before go-live, and run by our AI-OPS team after it.
What we build with
Microsoft Foundry is Microsoft's Azure platform for building, deploying and governing AI agents and applications in code: it brings more than 10,000 models, Foundry Agent Service, knowledge tools, evaluations, tracing and guardrails together in one Foundry resource. It was called Azure AI Studio until November 2024 and Azure AI Foundry until November 2025.
Copilot Studio lets business teams assemble agents with low code. Foundry is the developer platform (PaaS) — Microsoft's Cloud Adoption Framework points to it when you need model choice, deep integration, custom logic and private networking. Agents run in Foundry Agent Service, generally available since 16 March 2026 and built on the OpenAI Responses API, either as declarative prompt agents or as hosted agents that run your own Agent Framework or LangGraph code in a container.
encorp.ai builds production agents on Foundry for companies in Bulgaria and the EU. We choose the model and deployment type for your data-residency needs, write the agent code and evaluations, connect your systems through MCP and Foundry IQ, and operate the agent after go-live with tracing, cost monitoring and EU AI Act-aligned governance.
Almost any team can call a model from a notebook. Production is where it gets hard: choosing from 10,000+ models without your own test set, deploying to a data zone that does not match your GDPR commitments, token bills nobody forecast, no tracing when an agent calls the wrong tool, and old prompt flow or hub-based projects that must move before they are retired. Then security blocks the release because nobody can show what the agent did and why.
Not a proof of concept that stays in a notebook. We ship agents with code, tests, monitoring and the controls your IT and security teams need before they sign off.
Prompt agents for well-scoped tasks, hosted agents for custom logic in Agent Framework or LangGraph — on the Responses API, with a private VNet where required.
We compare GPT-5.x, Claude, Mistral, DeepSeek and Llama on your real cases, choose Global, Data Zone EU or regional deployment, and fine-tune (SFT, DPO, reinforcement) where it pays off.
Permission-aware retrieval over SharePoint, OneLake, Blob Storage and the web on Azure AI Search, respecting each user's access and Purview sensitivity labels.
Your APIs and systems exposed as MCP servers with OAuth passthrough, Toolboxes behind one MCP-compatible endpoint, and A2A for agents that work with other agents.
Test sets run before every release, OpenTelemetry tracing, continuous red teaming and guardrails on prompts, outputs, tool calls and tool responses in Foundry Control Plane.
Token budgets per agent, Batch for jobs that can wait, provisioned throughput (PTU) for steady load, plus monitoring and monthly optimisation after go-live.
Every project starts with a real process, a test set built from your own cases and a named owner on your side.
Extracts data from contracts, invoices or KYC documents into your ERP or core system, and scores every model or prompt change against a test set before release.
Answers customers on your website or app from product and policy content, hands over to a person with full context, and runs on a Data Zone EU model deployment.
Separate agents read financial statements, check credit-policy rules and draft the credit memo; an orchestrator combines the results and an analyst makes the decision.
Answers with citations from policies, procedures and data products, shows only content each user may see, and is published to Microsoft 365 Copilot and Teams.
Handles routine calls such as order status or appointment changes in real time, works with your systems through MCP tools and transfers to a person when needed.
Rebuilds existing prompt flow and hub-based projects as Agent Framework code on a Foundry resource, with evaluations proving quality holds — before the 20 April 2027 retirement.
Our decision guide, based on Microsoft's Cloud Adoption Framework (updated June 2026). Start with the question Microsoft asks first: does a ready-made SaaS agent already do the job? Many solutions combine two of these options.
| Copilot Studio | Custom code on Azure | Microsoft Foundry | |
|---|---|---|---|
| Best for | Business teams automating processes with low code | Teams that need full control of the stack or host their own models | Developers building production agents with custom logic |
| Service type (Microsoft CAF) | SaaS · process transformation | Infrastructure · GPUs and containers on AKS or Container Apps | PaaS · strategic transformation |
| Model choice | Can use Foundry models in a hybrid setup | Any model you deploy and operate yourself | 10,000+ models: GPT-5.x, Claude, Mistral, DeepSeek, Llama and more |
| Integration & networking | SaaS security model and low-code building blocks | Whatever your team builds and maintains | Custom code, MCP, A2A and bring-your-own VNet |
| Quality & observability | Organisation-wide governance through Agent 365 | Your own testing and monitoring stack | Evaluations, OpenTelemetry tracing, red teaming and guardrails built in |
| Pricing model | Copilot Credits (25,000 for €173.30/month, list price) | Azure compute and GPU capacity you run | Pay per token, Batch 50% cheaper, PTU for steady load |
Short cycles, your real data from week one, and measured quality before anything scales.
We confirm that Foundry is the right fit rather than a SaaS agent or Copilot Studio, agree success metrics, map data sources and residency needs, and turn real cases into a test set.
In line with Microsoft's advice to time-box prototypes to 1–2 weeks, we build the agent in a development environment, compare two or three models on the test set and connect the first tools.
We add guardrails, identity, private networking, tracing and red-team tests, then the agent handles live work while people review its outputs until it meets the agreed bar.
Release through your CI/CD pipeline with evaluations as a quality gate, monitoring in Foundry Control Plane and Azure Monitor, and a named owner on your side.
Pro-code agents vary widely in scope, so the pilot is priced after the free architecture review. Azure consumption — tokens, compute and search — is billed by Microsoft to your own subscription.
All encorp.ai prices exclude VAT.
Is Foundry the right platform for this?
30 minutes · online
One production-grade agent, scoped and built
fixed scope and price after the review
Ongoing AI engineering and operations
per month · minimum 6 months
Microsoft Foundry usage (model tokens, hosted-agent compute, Azure AI Search) is billed by Microsoft. Microsoft prices on this page are list prices as of September 2026.
Selected case studies from our wider AI engineering portfolio in fintech, telecom, logistics, media and e-commerce.
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.
Describe the agent or application in a few lines. A senior engineer replies within one working day with a first view on architecture, models and data residency.
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+ automations deployed · Bulgarian and English · EU AI Act-aligned · Prices exclude VAT