Enterprise AI Factory: Industrialize Generative AI Delivery at Scale
Build a governed, reusable AI engine — from first use case to enterprise-wide factory — with production-ready infrastructure, embedded compliance, and measurable ROI from day one.
Enterprise AI Factory: Industrialize Generative AI Delivery at Scale
Build a governed, reusable AI engine — from first use case to enterprise-wide factory — with production-ready infrastructure, embedded compliance, and measurable ROI from day one.
Enterprise AI Factory: Industrialize Generative AI Delivery at Scale
DS Stream AI Factory is a proprietary operating model for scaling enterprise GenAI delivery. We combine a production-grade AI platform reference architecture, governance, reusable architecture components, and an ROI-tracked use case pipeline to convert business problems into production AI solutions — 2–3× faster and at 60% lower cost per use case at scale.
Security, Compliance and Governance by Design
Encryption in transit and at rest, IAM/RBAC, audit logs, data residency options, guardrails, and knowledge isolation are built into every layer. We also define governance for ownership of prompts, tools, policies, approvals, and deployment changes across teams and markets.
AI Factory Engineering & Delivery Services for Enterprise GenAI
AI Platform Reference Architecture
Cloud-native, technology-agnostic architecture covering data foundations, MLOps/LLMOps, AIOps monitoring, and agentic AI infrastructure — no vendor lock-in.
AI Governance & Compliance (ISO 42001 AIMS)
ISO/IEC 42001-aligned AI Management System covering risk tiering, AI-DLC stage gates, per-jurisdiction compliance, and immutable audit trails.
Use Case Delivery + AIOps
Two production use cases per quarter — each with a pre-defined financial value hypothesis, KPI baselines, AIOps monitoring, and stage-gate ROI reviews.
AI Organisation Design & CoE
Operating model, roles, and AI CoE structure enabling independent AI delivery at scale — with delivery playbooks cutting time by 40–60%.
Value Realization & ROI Portfolio Governance
Every use case tied to a financial value hypothesis — revenue, cost, or risk impact — with an executive dashboard tracking AI spend and ROI in real time.
AI Factory Engineering & Delivery Services for Enterprise GenAI
Phase 1 — MVP AI Factory (Weeks 1–8) · Fixed Fee
Governance framework live, multi-cloud sandbox commissioned, first two production use cases scoped, built, and deployed within 8 weeks.
Phase 2 — Build & Validate (Weeks 9–20) · T&M with Cap
Use cases 3 and 4 delivered to production, reusable pattern library extracted, AI CoE structure established, knowledge transfer underway.
Phase 3 — Scale & Optimise (Weeks 21–36+) · Options-Based
Scale to 5–10+ use cases via proven pattern library and reusable platform, AI literacy programme delivered, CoE self-sufficient.
Meet our results
What our clients say
Anonymous
CEO, Sports Analytics Company
Maciej Mościcki
CEO, Macmos Stream
Sandra Lemańska
Category Manager, Lorenz Polska
Selected Clients
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Talk to us about your AI Factory roadmap
Benefits of an Industrialized AI Delivery Model
2–3× faster use case delivery through reusable architecture patterns, pre-built LLMOps pipelines, and a proven delivery playbook. 60% lower cost per use case at scale as the pattern library and shared infrastructure reduce build-from-scratch effort on every new use case. 100% governance coverage by design — every use case governed from intake, not retrofitted after deployment. First production use cases live within 8 weeks — value generating while governance and platform are being built in parallel. AI CoE self-sufficient by end of Phase 3 — knowledge transfer built into every phase, not deferred to the end. Full ROI traceability per use case — revenue impact, cost reduction, or risk mitigation tracked against a pre-agreed financial hypothesis.
Benefits of an Industrialized AI Delivery Model
2 to 3 times faster use case delivery.
Reusable architecture patterns, pre-built LLMOps pipelines, and a proven delivery playbook accelerate every use case from intake to production.
60% Lower Cost Per Use Case at Scale
The pattern library and shared infrastructure reduce build-from-scratch effort on every new use case, driving down marginal cost as the portfolio grows.
100% Governance Coverage by Design
Every use case governed from intake — risk-tiered, compliance-checked, and audit-trailed — not retrofitted after deployment.
First Production Use Cases Live Within 8 Weeks
Value is generated while governance and platform are being built in parallel — no waiting for the full factory before seeing results.
AI CoE Self-Sufficient by End of Phase 3
Knowledge transfer built into every phase, not deferred to the end — supported by delivery playbooks, AIOps/LLMOps runbooks, and an AI literacy programme.
Full ROI Traceability Per Use Case
Revenue impact, cost reduction, or risk mitigation tracked against a pre-agreed financial hypothesis — with stage-gate reviews governing every investment decision.
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Architecture & Technical Building Blocks
Multi Cloud Architecture
GCP: Vertex AI, BigQuery ML
Azure: Azure OpenAI, Purview
AWS: Bedrock, SageMaker
Infrastructure as Code: Terraform
Interoperable by design - same governance controls and LLMOps tooling across all clouds
Agentic AI Infrastructure
Frameworks: LangChain, LlamaIndex, AutoGen
Multi-agent orchestration
Human-in-loop escalation
Full reasoning trace logging
MLOps/LLMOps Pipelines
Experiment tracking
Model registry
CI/CD for AI
Prompt versioning
Eval harnesses for automated output quality scoring
Data Foundation
Azure: Synapse
Databricks: Delta Lake
Unity Catalog governance
Streaming data support
Let’s talk and work together
We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm CET).
Service Delivery Partner