WORKFLOW · EXPERIENCE
Steer work through dashboards, KPIs, and APIs – clear for business and engineering.
- Dashboards & KPIs
- APIs & tools
- Approvals & audit trail
- Scheduled & triggered runs
- Role-based access
Managed AI platform
Cloudstrata AI Foundry Platform
Deploy governed AI agents in weeks — without hiring a platform team.Governed AI in weeks — no platform team.
Multi-tenant runtime, retrieval pipelines, usage metering, and EU-hosted infrastructure — with governance and predictable costs for mid-sized and regulated organisations.Multi-tenant runtime, retrieval, and metering — EU-hosted. Managed, not built in-house.
- Production in weeks, not a multi-month platform build
- Governance for procurement, IT, and compliance
- Predictable costs from the first agent
PLATFORM
Technical depth for IT – without building your own.
For technical decision-makers: AI Foundry brings runtime, data, integrations, and control together on hyperscaler infrastructure. Your team configures use cases – we operate the platform layer.
CloudstrataAI Foundry Platform
Workflows, models, integrations, and data – hosted on cloud infrastructure.
Design, run, and evaluate – with KPIs and spend in one view.
AI Foundry
AI Foundry
AI · AUTOMATION
Models inside repeatable flows – with retrieval, safeguards, and traceable steps.
- Chat surfaces
- Embeddings & search
- Retrieval (RAG)
- Routing & safeguards
- Evaluations
INTEGRATION · CONNECTIVITY
Connect events, partners, DevOps, and identity – in your existing toolchain.
- Webhooks & events
- SaaS connectors
- Batch & streaming ingest
- ITSM & DevOps
- Identity & secrets
DATA · GOVERNANCE
Structured data, vector stores, and files – with clear access rules.
- Relational databases
- Vector & semantic stores
- Object & file storage
- Warehouse / lakehouse
- Catalog & lineage
CLOUD · INFRASTRUCTURE
Hosted on AWS, Google Cloud, and Azure – without building the platform layer yourself.
- AWS Amazon Web Services
- Google Cloud
- Microsoft Azure
Architecture diagram: cloudstrata AI Foundry at the centre with workflow, AI, integration, data, and cloud infrastructure.
- AI Foundry
- Kubernetes runtime
- Tenant quotas
- API control
- GDPR-aware
- WORKFLOW · EXPERIENCE
- Dashboards & KPIs
- APIs & tools
- Approvals & audit trail
- Scheduled & triggered runs
- Role-based access
- AI · AUTOMATION
- Chat surfaces
- Embeddings & search
- Retrieval (RAG)
- Routing & safeguards
- Evaluations
- INTEGRATION · CONNECTIVITY
- Webhooks & events
- SaaS connectors
- Batch & streaming ingest
- ITSM & DevOps
- Identity & secrets
- DATA · GOVERNANCE
- Relational databases
- Vector & semantic stores
- Object & file storage
- Warehouse / lakehouse
- Catalog & lineage
- CLOUD · INFRASTRUCTURE
- AWS Amazon Web Services; Google Cloud ; Microsoft Azure
- What you achieve with AI Foundry.
- Faster to production: Run agents and workflows without months of platform engineering.
- Governance built in: Approvals, audit trails, and tenant isolation from day one.
- Business and IT aligned: Shared workspaces instead of shadow AI on individual machines.
- Costs under control: Usage, model spend, and quotas in one dashboard.
- Regulatory confidence: GDPR-conscious, isolated tenants, traceable data flows.
- Connected to your stack: APIs, connectors, and events – without replatforming.
PLATFORM CAPABILITIES
Deep platform engineering – built into AI Foundry.
AI Foundry brings together the disciplines that define production AI: from agent runtime and retrieval architecture to policy, observability, and enterprise connectivity. This is not a chat wrapper – it is the technical foundation experienced platform teams would build.
Agent runtime & orchestration
Multi-step agents with state, tool use, and deterministic execution paths.
- Tool registry & function calling
- State management & retry logic
- Human-in-the-loop & approval hooks
- Streaming & batch execution
- Deterministic fallbacks on model failure
Retrieval & knowledge architecture
From raw documents to cited answers – as a repeatable, monitored pipeline.
- Chunking strategies & document parsing
- Embedding models & vector indexes
- Hybrid search & re-ranking
- Source attribution & confidence scoring
- Incremental index refresh
Model routing & inference
Multi-provider strategy with cost control and quality assurance.
- Routing across OpenAI, Anthropic, Azure, Gemini
- Model fallbacks & circuit breakers
- Token limits & rate quotas per tenant
- Prompt versioning & A/B comparisons
- Latency- and cost-aware routing
Governance, identity & policy
Controls that regulated organisations and IT security expect.
- RBAC, workspaces & tenant isolation
- SSO, SCIM & identity federation
- Approval workflows & audit trails
- Secrets management & vault integration
- PII handling & context isolation
Observability & FinOps
Full visibility into quality, latency, and cost – not only at month-end billing.
- Distributed traces & inference logs
- Evaluation dashboards & regression alerts
- Token and model cost per use case
- SLI/SLO metrics for agent operations
- Export for finance & controlling
Integration & eventing
AI Foundry as a hub in your enterprise architecture – not an island solution.
- Webhooks, event bus & streaming ingest
- ITSM, ticketing & DevOps connectivity
- SaaS connectors & custom APIs
- Batch import & change-data-capture
- MCP-compatible tool extensions
VALUE
What you achieve with AI Foundry.
- Faster to productionRun agents and workflows without months of platform engineering.
- Governance built inApprovals, audit trails, and tenant isolation from day one.
- Business and IT alignedShared workspaces instead of shadow AI on individual machines.
- Costs under controlUsage, model spend, and quotas in one dashboard.
- Regulatory confidenceGDPR-conscious, isolated tenants, traceable data flows.
- Connected to your stackAPIs, connectors, and events – without replatforming.
No platform team required
Runtime, metering, and integrations managed – your teams focus on use cases.
Typical team size on your side: 1–2 product owners, not 5+ platform engineers.
Weeks, not months
From scoping call to first production agent – without an infrastructure project.
Median rollout across early deployments: 14 days to first production agent.
Governance built in
Approvals, audit trails, and tenant isolation from day one – not after the audit.
RBAC, audit trails, and tenant isolation active before first external user.
Predictable costs
SaaS tiers with quotas; model spend and usage reported transparently.
Model spend visible per workspace from week one — no month-end surprises.
ROLLOUT BENCHMARK
A typical AI Foundry pilot — week by week.
Based on production deployments with mid-sized and regulated teams. Your timeline depends on integrations and approval cycles.
Median time to first production agent: 14 days (range: 10–21 days across three deployments).
Week 0
Scoping call
Use case, data sources, governance requirements, and success criteria agreed. Workspace provisioned same day.
Week 1
Platform ready
SSO connected, tenant boundaries configured, retrieval pipeline ingesting first document set.
Week 2
First agent live
Production agent handling real requests with citations, rate limits, and inference logging enabled.
Week 3
Governance sign-off
Approval workflows reviewed with IT/security, usage dashboards shared with finance, blast radius widened.
CHALLENGE & SOLUTION
Where AI projects stall – and how AI Foundry avoids it.
Decision-makers know the pattern: promising demos, then standstill because of operations, governance, or budget. AI Foundry addresses those bottlenecks – not in year two of the project.
- Kubernetes architecture
- Tenant isolation
- GDPR-conscious
- Hyperscaler hosting
The problem
AI pilots stall in demos. There is no production-ready runtime where business and engineering can work together – without starting from scratch every time.
The AI Foundry solution
From pilot to live operations
AI Foundry provides a managed platform with workspaces, APIs, and agent runtime. Your teams focus on use cases – we operate the technical foundation.
- Production-ready from the first agent
- Roles for business, engineering, and approval
- Scale through quotas, not custom builds
The problem
Shadow AI spreads across individual machines and SaaS accounts. Procurement, compliance, and IT lose visibility – and risk grows with every new tool.
The AI Foundry solution
Governance and control from day one
Approvals, audit trails, and tenant isolation are part of the platform – not a late-stage audit project.
- Role-based access and approval workflows
- Isolation for sensitive data and contexts
- Connections to identity systems you already manage
The problem
Model costs spiral while business value stays unclear. Leadership and procurement want hard numbers – not estimates from scattered invoices.
The AI Foundry solution
Make cost and value visible
AI Foundry tracks usage, latency, and model spend in business context – on a timeline that supports decisions, not spreadsheet hunts.
- Usage quotas per agent and workspace
- Usage data per agent and workspace
- Expand only when KPIs and budget justify it
The problem
Knowledge sits in silos – SharePoint, ticketing, line-of-business apps. Agents without reliable retrieval deliver hallucinations instead of answers.
The AI Foundry solution
Connect knowledge, cite sources
RAG pipelines, embeddings, and connectors tie your data sources together – with source attribution in every answer.
- Retrieval (RAG) with traceable sources
- Webhooks, events, and SaaS connectors
- Central visibility instead of log hunts across five systems
WHO IT'S FOR
One platform, four perspectives.
AI Foundry speaks to different decision-makers – with answers to the questions that actually come up in budget, security, and rollout discussions.
Leadership & board
Typical question"When do we see real value – and what will this cost long term?"
What AI Foundry deliversA measurable pilot with clear KPIs, a predictable SaaS model, and scalable rollout – without upfront investment in a platform team.
IT leadership & architecture
Typical question"Who operates this, how does it integrate, and do we stay in control?"
What AI Foundry deliversOperations on Kubernetes at AWS, Google Cloud, or Azure – with APIs, identity integration, and tenant isolation that meets your standards.
Business & digital teams
Typical question"How do we get from idea to an agent we actually use – quickly?"
What AI Foundry deliversWorkspaces, retrieval, and ready connectors – without waiting on IT capacity for platform engineering.
Procurement, compliance & privacy
Typical question"Is this contractually sound, traceable, and GDPR-ready?"
What AI Foundry deliversDocumented approvals, isolated tenants, and traceable data flows – instead of scattered shadow AI.
GETTING STARTED
Three steps to a production agent.
You don't need a six-month transformation programme. AI Foundry is designed to deliver credible results quickly – with clear milestones for everyone involved.
Scoping call
In 30 minutes we clarify use case, data landscape, and governance or integration requirements. You get an honest view of whether and how AI Foundry fits.
Pilot with one agent
One concrete application in your environment – with measurable KPIs, a defined budget, and approval workflows. Not a proof-of-concept without evidence.
Rollout based on results
Additional agents and workspaces only when value and cost align. Scale through quotas – not uncontrolled model invoices.
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CONTACT
Get in touch
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