Why a Platform Approach Is the Only Safe Way to Industrialise AI
AI models are powerful, fast and proliferating. That creates operational, security and compliance challenges. Direct model calls work for prototypes but fail when teams must prove control, measure risk, and manage cost across many use cases. A platform approach provides the structure enterprises need to scale AI responsibly.
What Microsoft Foundry delivers
DOWNLOAD this WHITEPAPER for detailed exploration of Microsoft Foundry capabilities and benefits it delivers to organisations.
Microsoft Foundry is not another model. It is the control plane: a single environment for selecting models, orchestrating prompts and agents, tracing responses, evaluating performance and enforcing guardrails. By treating prompts, agents and evaluations as production assets, Foundry turns short‑lived experiments into repeatable, auditable services.
Key benefits
Governance & compliance: integrates with Purview and Defender for audit trails and policy enforcement.
Model portability: swap or compare LLMs without rewriting applications.
Observability: end‑to‑end tracing highlights hallucinations, latency and cost drivers.
Lifecycle management: versioning, bulk evaluation and testing before deployment.
Responsible AI: built‑in controls align with fairness, transparency, privacy and accountability.
Actionable agents: agents can execute tasks (bookings, DB updates) rather than only chat.
Foundry reduces time to value by enabling RAG connections to enterprise data, a visual prompt‑flow for orchestrating logic and easy deployment to Teams, Copilot or embedded apps. Tracing and evaluation turn vague quality concerns into measurable KPIs, so teams can govern cost, accuracy and user impact together.
Why use Foundry over the other AI development services?
How Keyrus helps you succeed
Having a platform is essential. Knowing what to do with it matters more. Keyrus combines Microsoft expertise and pragmatic delivery to help clients capture measurable value:
Strategic planning: prioritise use cases, set KPIs and create a phased adoption roadmap.
Secure architecture: design Foundry deployments, connect Fabric/Databricks/SQL and apply least‑privilege access.
Governance & monitoring: implement control‑plane policies, alerting and remediation playbooks.
Rapid delivery: pilot agents in a sandbox, run evaluation suites and operationalise with CI/CD.
Capability uplift: train product owners, ML engineers and compliance teams on prompt engineering and incident playbooks.
Managed services: co‑manage or fully run agents to keep performance and costs optimal.
“A platform is the difference between tinkering and industrialisation. Foundry gives organisations the controls to innovate without exposing the business,” says Aadhil Khan, Business Intelligence consultant at Keyrus.
Practical checklist before you start
Pick a high‑value, low‑risk pilot and define success metrics (accuracy, time saved, cost impact).
Ensure data readiness and secure access patterns to avoid leakage.
Use bulk evaluation and tracing to validate model changes before rollout.
Budget for ongoing governance and monitoring, it’s continuous.
Align people and processes across product, engineering and compliance.
“As organisations scale AI, they need both the platform and the partnership to make it safe and sustainable. That’s where a trusted delivery partner adds measurable value,” Aadhil Khan adds.
Ready to map Foundry to tangible business outcomes? Keyrus provides the strategy, architecture and delivery capability to move teams from proof‑of‑concept to production safely and quickly. Contact our team at sales@keyrus.co.za to book a workshop or request a tailored advisory session here Bookings with me - Craig Andrew - Outlook.