Turn your Microsoft Foundry investment into production AI workflows

You chose the platform. Now we build on it. We work inside your team to ship secure, agentic workflows on Microsoft Foundry, wired into the CRM, ERP and SharePoint your people already use, and we keep them running after launch.

Jason, our COO, runs the call and tells you whether Foundry is the right platform for the job before anything is scoped.

Microsoft FoundryEnterprise AI platform
Billing
Pay as you go on your Azure billModel tokens, hosted-agent compute and each tool you use. Microsoft charges no platform fee.
Where it runs
30 Azure regionsAgent data stays in the region you deploy to.
Identity
Microsoft Entra IDAzure role-based access decides who can build, run and read.
Connections
1,400+ business systemsThrough Azure Logic Apps.
Formerly
Azure AI Studio, Azure AI FoundrySame platform, renamed Microsoft Foundry.

Checked against Microsoft's pricing pages and Microsoft Learn on 4 and 15 October 2026.

Clients include

AudinatePinkcubeBizIQCourserAllClear Travel Insurance
The implementation gap

Why enterprise Foundry rollouts stall

Foundry gives you the model catalog, prompt flow orchestration, Azure OpenAI and Microsoft's security controls in one workspace. It does not give you a production workflow. Most teams find that gap after the licence is signed.

The pilot meets real data

A promising pilot works in the sandbox, then stalls the moment it touches live records, operational variance or a security review.

Nobody owns the wiring

Connecting the CRM, ERP and SharePoint to a model that behaves reliably under load takes engineering hours most teams have already allocated.

No shared definition of ready

Without agreement on what production-ready means, the workflow sits in a backlog for six months.

Governance arrives last

Data residency, cost guardrails and approval rules bolted on after launch reopen the security review.

What we build on Microsoft Foundry

Every build starts with an AI Audit or a scoped pilot, so the workflow, the data it may touch and the person who owns it are agreed before we write code.

Agents

Custom agentic workflows

Multi-agent systems that take the first pass at an operational process and escalate what they cannot resolve, with a person approving wherever the stakes require it.

See AI agent development
Knowledge

Enterprise RAG and data integration

Azure AI Search connected to SharePoint, Blob Storage and your knowledge bases, so support and operations teams get cited answers without leaving the tools they work in.

See the context layer
ERP

Legacy system orchestration

Foundry models connected to ERPs like Odoo or SAP to handle scheduling, resource routing and the operational decisions those systems were never built to make.

See SAP Joule Studio
Governance

Readiness and governance

Data residency controls, cost guardrails and approval rules built into the foundation before the first agent goes live.

See AI governance

Your tenant, your identity rules, your logs

Your security team will ask what the agent could see, what it did and who approved it. We answer all three inside your Azure tenant before the agent goes live.

Your Azure tenant
  1. SourcesYour business systemsRead through Logic Apps connections or their own APIs
  2. Context layerScopes and masksOnly the fields each task needs
  3. AgentFoundry Agent ServiceStandard setup, agent data in your Azure resources
  4. ApprovalNamed approverSigns off before anything is written back

run 8132 · signed in through Entra ID · 3 sources read · 2 fields masked · draft sent for approval · approved · written back

Region

Agent data stays in the Azure region you deploy to, one of 30 where Foundry agents run.

Never allowed
  • An agent approving or sending on its own
  • Your data used to train models
  • Access wider than the user's own permissions

Illustrative run. Sources, masked fields and approvers are set per workflow during scoping.

Where Microsoft Foundry fits, and where we would build on something else

Our platform comparison scores eight platforms against the same four jobs. Foundry leads on two, holds its own on a third, and is the wrong tool for the fourth.

  1. An assistant that answers from your own documents

    Staff ask questions in Teams and get answers from your policies and SharePoint.

    Strong fit

    File search and the model catalog sit next to the Microsoft 365 content your staff already work in.

  2. Custom agents IT and security can sign off

    Agents on Azure with Entra ID, private networking and audit logs.

    Strong fit

    Sign-in, access and data residency follow the Azure rules your security team already enforces.

  3. An agent that works through a queue of tasks

    Read every inbound lead, research the company, score it and book a call.

    Good fit

    Multi-agent systems with tools and memory run well here, and the agent's work can wait for a person before anything is written back.

  4. When something happens in one app, update the others

    A form comes in, the CRM updates and the team gets a Slack message.

    Pick something else

    Foundry has no trigger-and-steps workflow builder. We build this on n8n, which bills once per run however many steps it takes.

We connect Foundry to the rest of your stack

Foundry rarely runs alone. These are the services we wire it to most often.

  • Azure OpenAIThe model backbone for GPT and reasoning model deployments inside Foundry.
  • Azure AI SearchThe vector and hybrid search layer behind enterprise retrieval.
  • Microsoft 365 and SharePointThe main knowledge source for internal assistants.
  • n8nThe orchestration layer that moves Foundry outputs into your operational systems.
  • SAP and OdooERP targets for scheduling, resource routing and operational automation.
  • Logic AppsReady connectors to more than 1,400 business systems.
In production today

A year of failed native builds, replaced by an agent layer on the ERP

A Dutch Odoo implementation partner tried for a year to build scheduling natively for a dental care group. We built an agent layer on top of the ERP instead. This one runs on n8n and Odoo, and the same approach carries to Foundry: the model reasons, the ERP stays the system of record, and a person handles the exceptions.

See all case studies
Dental care groupOdoo and n8n, scheduling
1,500
Appointments scheduled a week
200practitioners
25,000residents served
5sync workflows

How a Foundry build runs

Scoping sets the timeline for your workflow, and every build is tested in staging before it goes live. See how we work

AI pilot
2 to 6 weeks
AI Audit
4 to 8 weeks
Full build
Set in scoping
  1. Jason
    Jason, COO

    Architecture and data mapping

    We audit your Azure environment, map the data connections and agree the target workflow with your team.

    • Whether Foundry is the right platform for it
    • The fields the agent may read
    • The decisions that always go to a person
  2. Maciej
    Maciej, CTO

    Model selection and prompt flow

    We pick the models that fit, Azure OpenAI or open models from the Foundry catalog, and set up orchestration in your subscription.

    • Staging first, on test or masked records
    • Usage estimate checked against the Azure bill
  3. Jason
    Jason, COO

    Integration and approval gates

    We connect the agent to your CRM, ERP or both, and build the screens where your team reviews and approves its work.

    • Access through your own Entra ID roles
    • Separate development, pre-production and production
  4. Maciej
    Maciej, CTO

    Production, training and run

    We deploy with monitoring and alerts, train your team to manage and extend the system, and keep improving it in weekly sprints.

    • Error alerts to the engineers who built it
    • Weekly sprints that you direct

What teams ask before building on Microsoft Foundry

Ask us something else

What is the difference between Foundry and Azure OpenAI?

Azure OpenAI gives you API access to OpenAI models. Microsoft Foundry is the wider environment where you orchestrate those models alongside other tools, manage data connections and govern the application's lifecycle. You build in Foundry, and Azure OpenAI is one of the model services you build with.

Is Microsoft Foundry free?

No. Microsoft charges no platform fee, but you pay as you go for model tokens, hosted-agent compute and each tool the agent uses; a hosted agent costs $0.0994 per vCPU-hour in East US (checked 4 October 2026). You can explore at low cost, and production workloads cost what they use. We estimate the running cost of your workflow during scoping.

How does Foundry handle data privacy and security?

Foundry runs inside your Azure tenant under Microsoft's enterprise security model, and your data is not used to train public models. You get data residency controls, role-based access and private connections to internal sources. We add a context layer so each agent reads only the fields its task needs.

Foundry or Copilot Studio?

Copilot Studio lets business users build agents inside Microsoft 365 themselves. Foundry is built for developers and gives full control over models, code and hosting. If the agent needs custom logic, several models or strict security sign-off, Foundry is the better base.

Can you take over a Foundry project another team started?

Yes. We start with a technical assessment of what is built, then fix what it finds, harden the agent for production and run it in weekly sprints. See AI managed services.

Where should we start?

With the workflow that has the most volume and the clearest rules. If you have several candidates, the AI Audit ranks them over 4 to 8 weeks and ends in a 90-day roadmap, for $10,000 to $100,000 depending on scope, with the fee credited toward your first build.

Other platforms we build on

We pick the platform after we understand the workflow, so the same team can build on whichever of these fits it. Compare them all

Workflow automation

n8n

Trigger-and-steps workflows with AI inside them, billed per run and self-hostable in your own cloud.

See n8n
Simulation and digital twins

Sim AI

Digital twins and simulation runs connected to live R&D and manufacturing data.

See Sim AI
Workflow automation

Kestra

Open-source orchestration for data and AI pipelines, defined as code and run on your infrastructure.

See Kestra
Workplace AI

Claude Cowork

Anthropic's agent for knowledge work, set up with the plugins, connectors and approval steps your teams need.

See Claude Cowork
Workplace AI

ChatGPT for work

ChatGPT rolled out to your company with the connectors, custom GPTs and admin settings it needs.

Page coming
SAP

SAP Joule Studio

Custom Joule skills and agents on SAP BTP, connected to the SAP and non-SAP systems your teams query.

See SAP Joule Studio

Your Foundry licence is live. Let's close the gap.

Answer a few questions about your team and the workflow you want on Foundry, then Jason scopes it with you on the call.

Owen, Maciej, Jason, Oskar and Ben