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Techrupt

Enterprise AI platform

Microsoft Foundry Consulting

Techrupt Digital designs, builds and governs AI agents and applications on Microsoft Foundry, formerly Azure AI Foundry. We take you from use case to production with security, evaluation and cost controls built in.

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Overcome AI development complexity and accelerate innovation

Modern organizations need production-ready AI applications, not experimental prototypes. Microsoft Foundry provides the enterprise platform to build, deploy, and govern AI agents at scale, while Techrupt transforms your AI ambitions into measurable business outcomes with built-in security and compliance.

  • AI Strategy & Consulting

    Our certified specialists assess your use cases, design custom AI solutions, and create implementation roadmaps that align with business objectives while ensuring responsible AI deployment.

  • AI Governance & Security

    Implement enterprise-grade AI governance frameworks that ensure data protection, model accuracy, and regulatory compliance. We establish monitoring, audit trails, and security controls that scale with your AI program.

  • Custom Agent Development

    We build custom AI agents using the Microsoft Foundry model catalog. Each agent is trained on your data, integrated with your systems, and designed to deliver measurable productivity gains.

  • Production Deployment & Support

    Comprehensive deployment and ongoing support to keep your AI solutions running optimally. We handle infrastructure management, performance monitoring, and continuous optimization for sustained business value.

4-pillar framework

Your path to secure AI

Pillar 1

Strategy & Readiness

Secure Foundations for Every AI Project

Blueprinting your Foundry environment to align governance, quotas, and access so AI development starts compliant, not chaotic.

What we deliver

  • Comprehensive use-case discovery and strategic value mapping sessions
  • Complete project & hub configuration setup in Foundry Management Center
  • Detailed role assignments, quotas, and RBAC alignment to Entra ID policies

The results for you

  • Compliant FoundationGoverned workspace fully aligned to compliance requirements and security standards
  • Clear AccountabilityDefined ownership and responsibility structures established from implementation start
  • Accelerated OnboardingFaster project initiation with significantly fewer approval delays and bottlenecks

Pillar 2

Build & Evaluate

From Prototype to Production, Faster

Harness the Model Catalog, Prompt flow, and evaluation pipelines so you can experiment quickly and deploy with confidence.

What we deliver

  • Strategic model selection guidance (OpenAI, Mistral, Meta, Cohere, NVIDIA, DeepSeek, xAI)
  • Advanced prompt engineering and intelligent orchestration with Prompt flow integration
  • Comprehensive offline/online evaluations to precisely measure accuracy, safety, and cost metrics

The results for you

  • Rapid InnovationAccelerated prototyping with evidence-based iteration and continuous improvement cycles
  • Quality AssuranceConsistently higher-quality outputs delivered before public release or deployment
  • Faster ROISignificantly shorter time-to-value for AI pilots, POCs, and production implementations

Pillar 3

Safety & Governance

Responsible AI Made Operational

Guardrails and Content Safety filters to ensure AI outputs are safe, compliant, and auditable.

What we deliver

  • Fully configurable input/output safety filters and content moderation systems
  • Comprehensive red-team testing (prompt injection, jailbreak attempts, bias detection)
  • Real-time Risks & Safety monitoring dashboards for ongoing oversight and control

The results for you

  • Safer OperationsReduced deployment risks with fewer security escalations and incidents
  • Audit ReadinessComplete compliance documentation ready for audits and regulatory reviews
  • Sustained TrustOngoing confidence maintained with employees, customers, and stakeholders

Pillar 4

Operate & Scale

AI Apps and Agents for Production

Pipelines, monitoring, and the Agent Service so your AI portfolio scales with control.

What we deliver

  • Automated CI/CD pipelines for models, prompts, and comprehensive guardrails management
  • Complete observability solutions: latency monitoring, token usage tracking, and cost telemetry
  • Full AI Agent Service integration with identity management, tools, and monitoring systems

The results for you

  • Enterprise ReliabilityStable AI applications and agents performing consistently at enterprise scale
  • Cost PredictabilityTransparent spending with detailed usage metrics and predictable cost forecasting
  • IT OwnershipComprehensive platform that IT teams can confidently own and manage

Buyer's guide

Building on Microsoft Foundry

What the platform is, how to choose models, and what it takes to run AI in production with data kept in Canada.

What Microsoft Foundry is

Microsoft Foundry is Microsoft's platform for building AI applications and agents on Azure. It brings together a catalog of models from OpenAI and other providers, an agent service for building agents that use tools and your data, evaluation tools that measure quality and safety, and the governance controls enterprises need, all running in your own Azure subscription.

It was previously called Azure AI Studio and then Azure AI Foundry. The latest name reflects its role as the place to build AI across Microsoft's cloud, not just a set of Azure AI services.

Choosing a model

The model catalog is large, and defaulting to the most capable model for every task is an expensive habit. We choose by task. Reasoning-heavy work and complex agents justify a frontier model. Classification, extraction and routing usually run well on smaller, cheaper models.

Evaluations run on your own data settle the question with evidence rather than public benchmarks. We compare candidate models on the same test set for accuracy, latency and cost per request before committing.

From prototype to production

The difference between a demo and a service is everything around the model:

  • Separate projects for development and production
  • Private networking and managed identities instead of stored keys
  • Evaluations against a fixed test set before every release
  • Content safety filters tuned to your use case
  • Monitoring of quality, latency, token usage and cost
  • A rollback plan for model and prompt changes

We set these up as part of the build, so moving from pilot to production is a release rather than a rebuild.

Keeping AI data in Canada

Many models in Foundry can be deployed in Azure's Canadian regions, but availability differs by model and deployment type and changes as Microsoft adds capacity. Some deployment types route requests across regions to find capacity, which matters if you have residency obligations.

For BC workloads with data residency requirements under FIPPA or contractual commitments, we choose models and deployment types that keep processing in Canada, and document any exceptions for your privacy review.

Why it matters

Benefits of building on Microsoft Foundry

Accelerate innovation with governed AI, safe deployments, and scalable agents built on Microsoft's trusted platform.

  • 01

    Governed Platform

    Get rid of experiment sprawl. Microsoft Foundry is your one place to select models, build prompts and flows, evaluate, and ship with access controls and quotas from the Management Center.

  • 02

    Built-In Guardrails

    No more model risk and compliance gaps. Content Safety filters and Risks & Safety dashboards reduce unsafe output and give auditors evidence.

  • 03

    Measurable Acceleration

    Prompt flow and evaluation flows streamline iteration and quantify quality before go-live, reducing slow prototyping.

  • 04

    Production Agents

    AI Agent Service orchestrates tools, calls, identity, and observability for agents you can scale and support.

How we work

Let's figure out what you need

From initial strategy to production-scale agents, professional implementation ensures AI projects deliver measurable business value while maintaining security and governance standards.

  1. STEP 01

    AI Assessment

    You're an expert in your business. We want to learn everything about your AI objectives and current capabilities, so we can help you maximize value from Microsoft Foundry investments.

  2. STEP 02

    Strategic Planning

    You get reliable, senior-level AI specialists at every level of engagement. We create a detailed implementation plan for agents, governance, and production deployment, so you get the expertise you deserve.

  3. STEP 03

    Production Deployment

    Senior-level experts execute your AI strategy. From Foundry setup to agent deployment, we ensure smooth implementation with measurable results.

FAQ

Microsoft Foundry, answered

Is Microsoft Foundry the same as Azure AI Foundry?

Yes. Microsoft renamed Azure AI Studio to Azure AI Foundry at Ignite 2024, then renamed Azure AI Foundry to Microsoft Foundry at Ignite 2025. The platform for building AI apps and agents on Azure continued under the new name, so existing projects don't need to be rebuilt because of the rename.

What can we build with Microsoft Foundry?

AI agents and applications that use models from OpenAI and other providers, connect to your data and tools, and run inside your Azure subscription. Typical examples are customer service agents, document processing, internal knowledge assistants and multi-step workflows that call your own systems.

Microsoft Foundry or Copilot Studio?

Choose Microsoft Foundry for code-first work, custom models, customer-facing apps and complex workflows. Choose Copilot Studio for low-code agents that serve your own staff inside Microsoft 365. We often use both in the same organization.

How do you make Foundry projects production-ready?

We set up governance first, meaning access, quotas and network isolation. Then we evaluate quality and safety before launch, give each agent its own identity with least-privilege access, and monitor accuracy, token usage and cost once it's live.

Do you work with organizations outside Vancouver?

Yes. We're based in Metro Vancouver and run Foundry projects for organizations across Canada and the US, with in-person workshops available locally.

Do we need Azure to use Microsoft Foundry?

Yes. Microsoft Foundry runs in an Azure subscription, which is what gives you control over networking, identity, data location and cost. If you don't have Azure yet, we set up a governed environment for it as part of the project.

Can Foundry agents work with Microsoft 365 and Copilot Studio?

Yes. Agents built in Foundry can be connected to Microsoft 365 experiences, and Copilot Studio can hand tasks to Foundry agents, so staff can use a low-code agent in Teams that calls a code-first agent for the complex work.

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Techrupt provides the tools and implementation to maintain and grow your business. Combining security tools and cloud expertise with customer success ensures the growth of your business for years to come.

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