Microsoft Foundry Consulting Services
Unlock AI capabilities and agentic automation within Microsoft with Foundry consulting services aligned to your operations and augmented by end-to-end AI expertise.
Foundry consulting grounded in operational reality
10Pearls in numbers
20+
years of successful
enterprise delivery
1400+
AI-fluent engineers
and experts
3
solution partner
designation
ISO 27001
certified AI
partner
What is Microsoft Foundry?
Microsoft Foundry is Microsoft’s enterprise AI platform, built to help organizations develop, deploy, and govern AI applications and agents within their existing Azure and Microsoft environments. It provides access to a broad ecosystem of AI models while supporting the security, governance, and operational controls enterprises need to scale AI responsibly.
Our Microsoft Foundry consulting services
Foundry advisory & readiness
Support low-friction AI adoption through AI assessment to identify gaps and challenges. Align the right Foundry-led AI and agentic adoption pathways to your operations.
Model strategy & customization
Optimize AI performance and enable higher quality outputs with the right model strategy. Improve domain accuracy and task performance through fine-tuning and customizations.
AI agent development
Enhance operational efficiency and scalability through secure and governed AI agents embedded with appropriate guardrails and contextual grounding in enterprise knowledge.
Multi-agent & agentic systems
Enable automation of complex, cross-domain enterprise functions while accelerating workflows and increasing throughputs with well-orchestrated multi-agent deployments
Integration & connectivity
Make AI useful across the organization by unlocking enterprise knowledge and connecting processes end-to-end through an integration layer of pre-built and custom connectors.
Governance, security & MLOps
Minimize AI risk and support governed scalability of AI-driven operations by leveraging Azure and Foundry-based controls and tailored MLOps for continuous improvement.
Why choose 10Pearls for Microsoft Foundry consulting services
A strategic MSP offers provides business value and long-term benefits beyond handling IT functions. This makes them better equipped to resolve certain challenges that traditional MSPs couldn’t.
Certified partnership
As an authorized CSP partner for Microsoft and a team of Azure consultants with diverse certifications, we offer deep platform expertise.
End-to-end AI capabilities
From architecture designs to model drift correction, our AI capabilities extend beyond Foundry, allowing us to support complex AI deployments.
Agentic AI expertise
Our diverse agentic AI experience across different environments enables us to proactively address governance and scalability challenges.
Diverse industry experience
We have supported AI adoption in several industries and are intimately familiar with adoption challenges and friction points.
Enterprise focus
We understand the operational complexity, regulatory requirements, and scalability needs of enterprises, and design accordingly from day one.
AI agent development services on Microsoft Foundry
Foundry Agent Service
Hosted, managed agents you deploy as stable, versioned endpoints your apps call.
Multi-agent orchestration
Coordinate teams of agents with defined roles, handoffs, and supervision.
Tools and MCP
Connect agents to your APIs, systems, and data sources through standardized tool calls.
Retrieval and grounding
Ground answers in your enterprise knowledge for accurate contextual awareness.
Memory
Retain context across turns and sessions, so agents recall what matters between interactions.
Voice (Voice Live)
Real-time, natural voice agents for verbal interaction and improved accessibility.
In-house vs. consultant-led Foundry adoption
Organizations can pursue Foundry-based AI adoption with an in-house team or with a Microsoft Foundry partner. Understanding the benefits and trade-offs will help you make an informed decision.
| In-house | 10Pearls | |
|---|---|---|
| Model integration | Time and effort depend on your process maturity and team's AI experience and expertise. | Relatively faster due to deep Microsoft ecosystem understanding and mature AI playbooks. |
| Agentic deployments | Lengthy. Orchestration and governance are new grounds for most teams. | Accelerated via AI launchpad. From idea to production in 90 days. |
| AI & Platform expertise | Deep domain knowledge; narrower Foundry and AI breadth. | Cross-industry Foundry and AI depth applied to your domain |
| Data & AI foundations | Built and matured internally over time. | Readiness assessment and reference architectures to close gaps faster. |
| Governance & security | Designed and maintained by your team. | Entra ID, RBAC, and guardrails from day one. |
| Cost visibility | Harder to forecast early on. | Usage visibility, quotas, and optimization. |
| Ongoing operations | Owned and run by your team. | Managed operations and continuous optimization. |
Microsoft Foundry tools we support
Our Microsoft Foundry consulting services cover a broad ecosystem of tools and technologies both within and outside the Foundry umbrella.
Build
- Microsoft Foundry
- Foundry model catalog
- Azure OpenAI in Foundry
- Model Router
- Foundry Agent Service
- Microsoft Agent Framework
- Fine-tuning and custom models
Ground
- Foundry IQ
- Foundry Tools
- Azure AI Search
- Vector stores
- Microsoft Graph
- Microsoft Fabric (OneLake)
Govern
- Microsoft Entra ID
- Entra Agent ID
- Microsoft Defender
- GitHub Advanced Security
- Foundry Control Plane
- Azure AI Content Safety
- Microsoft Purview
Observe
- Azure Monitor and Application Insights
- Foundry evaluations
- Red-teaming
Deploy
- Production endpoints
- Microsoft 365, Teams, and Copilot
- Foundry Local
How we ensure governance & security on Microsoft Foundry
Organizations can pursue Foundry-based AI adoption with an in-house team or with a Microsoft Foundry partner. Understanding the benefits and trade-offs will help you make an informed decision.
Data protection & access controls
Safeguard data and AI systems with encryption, private networking, role-based access, identity management, and least-privilege policies.
AI safeguards
Reduce the risk of inaccurate, unintended or harmful outputs with content filtering, safety controls, and prompt-injection protection.
Compliance & risk management
Performance monitoring
Cost management
Choosing the right model strategy
Managed routing
Automated routing to the optimal LLM for each prompt. It can be the default, a broad pool supported by Foundry, or a specific subset of models you pick.
Strengths: Minimal effort required, automatic cost-quality balance.
Limitations: Limited model selection (OpenAI heavy).
Ideal For: High-volume, general-purpose workloads where efficiency matters more than fine control.
Fixed model strategy
Proactively assign specific models to each workload. It eliminates the need to decide the right model for each query instance.
Strengths: Granular control, high predictability, and better auditability.
Limitations: Least cost optimized. Strategy may lag behind model upgrades.
Ideal For: Specialized workloads, especially in regulated industries like healthcare and fintech that have strict compliance, residency, and domain-accuracy requirements.
Custom routing
Custom logic for model selection for each workload, influenced by variables including cost, data sensitivity, provider pool, and more.
Strengths: Most flexible and deeply process-aligned. Wide, cross-provider model access.
Limitations: Highest engineering/effort cost, both upfront and ongoing.
Ideal For: Complex or multi-provider estates where the managed router’s pool is too narrow or the rules too nuanced.
Our approach to Microsoft Foundry consulting
Use case identification
Assessing AI readiness
AI-ready foundations
Design & validate
Design model integrations and agents grounded in your enterprise context, and validate them via a PoC through our AI Launchpad program to reduce deployment risk.
Production & integration
Develop and deploy individual agents, orchestrated agent teams, and integrate models into your workflows, with embedded governance and guardrails.
Scale & manage
Our Microsoft Foundry case studies
Case study - HEALTHCARE
Caregiver Support Platform
Empowering caregivers with an all-in-one support platform that streamlines access to key resources, allowing them to focus on delivering quality care.
Case study - TECHNOLOGY
Agile Cloud Infrastructure
Improving operational agility, reducing cost, and optimizing resource management with a modernized, cloud-based infrastructure.
Case study - technology
Securing Global Operations with Cloud-Native Identity
Migrating a global identity management system from on-premises infrastructure to Microsoft Azure to enhance security and scalability.
Industries we support
As a Microsoft Foundry consultant with diverse industry experience, we understand AI, data, governance, and architectural challenges of enterprises from a wide range of industries.
FAQs about our Microsoft Foundry services
What is Microsoft Foundry, and is it the same as Azure AI Foundry?
How much does Microsoft Foundry cost?
Microsoft Foundry itself is free for Azure users, but the cost of developing and deploying agents and integrating AI models into your workflows is grounded in model-specific pricing, managed compute access, storage, add-ons, and contextual grounding (RAG) that leverages Azure AI Search.
What is the Foundry Agent Service?
The Foundry Agent Service is a core pillar of Microsoft Foundry that allows you to design, build, ground (in an enterprise context), deploy, and scale AI agents.
How is Foundry different from AWS Bedrock and Google Vertex AI?
The core difference is environment and estate. Foundry is native to Azure and naturally aligned to Microsoft estates, just as Bedrock is aligned to AWS and Vertex AI to Google estates.
Can Microsoft Foundry run on-premises or at the edge?
Yes. Microsoft Foundry offers capabilities and tools that allow you to deploy and use AI models locally or on-device and edge computing.
How do you reduce hallucinations and keep agents accurate?
We leverage strong data governance and ground all AI initiatives in your enterprise knowledge and context using RAGs. We also use Foundry tools like Groundedness Detection to ensure that model outputs and agent behavior remain grounded and accurate.
What security and compliance controls does Foundry support?
Microsoft Foundry inherits the full range of Azure compliance and security controls, including Microsoft Purview, Entra ID, and Azure AI Content Safety. We also leverage tools and frameworks unique to Foundry, including the Foundry Control Plane.
How long does it take to build a production AI agent on Foundry?
It may take anywhere from a few days to several weeks to build and deploy a production-grade AI agent (or multi-agent orchestrations) on Foundry. The exact timeline depends upon factors including the architectural complexity of the agent, its guardrails, contextual grounding, flexibility of the processes its being embedded in, and its integration ecosystem.
Can you publish agents to Microsoft 365, Teams, or Copilot?
Yes. Foundry agents can be published on or deployed within other ecosystems, including Microsoft 365, Teams, and Copilot. As a certified Microsoft partner, 10Pearls is well-versed in these environments as well and facilitates seamless agentic implementations.
Do you offer Microsoft Foundry consulting and implementation services?
Yes. 10Pearls offers comprehensive Microsoft Foundry consulting and implementation services. They range from guidance and agentic development to embedding governance controls.
How is Microsoft Foundry consulting priced?
We offer flexible pricing structures for Microsoft Foundry consulting services to accommodate a wide range of Foundry and AI goals our enterprise clients have and the architectural support they need for successful, Foundry-based AI initiatives.
How do you migrate a pilot or another platform to Foundry?
We start with the assessment of the existing pilot or platform, its models, data sources, integrations, and governance. Then we align everything to the Foundry capabilities and tooling. From there, we rebuild that pilot on Foundry in phases, validating each step, allowing enterprises to reach production-grade AI without losing what already works or disrupting existing operations.