Enterprise AI Transformation for Large Organizations and the Public Sector
Enterprise and public sector organizations operate at a different level of complexity. Legacy infrastructure, procurement cycles, security requirements, and multi-stakeholder sign-off are the reality. MetaSys delivers large-scale AI deployment, cloud migration, and managed operations with the governance framework enterprise IT demands and the execution speed that business leaders need.
Large-scale AI transformation, delivered without downtime.
Talk to an architectEnterprise AI projects fail before they begin.
Legacy infrastructure blocks every AI initiative before it starts.
On-premise systems, decade-old ERP stacks, and undocumented integrations are the actual ceiling on enterprise AI adoption. Every AI project eventually hits the same wall: the data is trapped in a system that was never designed to share it.
Procurement and compliance add 12 to 18 months to every initiative.
Vendor onboarding, security reviews, legal sign-off, and change advisory board cycles stretch timelines well beyond what commercial vendors plan for. Projects that should take six months take two years.
Multi-stakeholder sign-off slows execution at every phase.
Enterprise IT projects involve IT leadership, security, procurement, legal, operations, and the business sponsor. Every phase gate requires alignment across all of them. Misalignment at any layer stops progress entirely.
Risk aversion in IT organizations kills momentum before delivery.
Enterprise IT teams are accountable for uptime, not innovation. Every change is a potential outage. The default answer to new technology is no, and the burden of proof required to reverse that sits entirely on the delivery team.
AI and cloud delivery that meets enterprise requirements.
Cloud migration and infrastructure modernization
We plan and execute lift-and-shift, re-platforming, and full re-architecture migrations to AWS, Azure, and GCP. Zero-downtime cutovers, Kubernetes-native target architecture, and post-migration operations built into the engagement from day one.
Agentic AI for enterprise operations
We deploy production-grade AI agents into enterprise workflows. Intelligent document processing, decision support systems, operations automation, and RAG knowledge systems that integrate with your existing ERP, CRM, and document management stack. Every agent ships with confidence gates, human review on high-risk actions, and an audit log entry for every automated decision.
Enterprise data platform and governance
We build the data infrastructure enterprise AI requires. Governed data lakes, real-time streaming pipelines, analytics warehouses, and ML feature stores. Designed for scale, auditable by design, and aligned to your data governance framework.
Intelligent process automation
We automate high-volume enterprise workflows: document intake and classification, approval routing, compliance checking, and reporting. AI-assisted automation that handles the edge cases human rules miss and scales without adding headcount.
Dedicated engineering and managed operations
We provide dedicated engineering teams that operate as an embedded extension of your IT organization. Operations run inside your SOC 2 scope, with on-call coverage, incident response, and continuous improvement under enterprise SLA commitments.
Built for the delivery constraints these organizations operate under.
These are the environments our delivery model is designed for. References and proof are matched to your segment during scoping.
FTSE 100 and Fortune 500
Large enterprises running complex, multi-system environments that need cloud migration, AI deployment, and managed operations that can survive procurement, legal, and security review at scale.
Government and public sector
Our delivery model is built for the constraints public sector bodies work under: compliant delivery, data sovereignty, audit trails, and transparency at every phase of an engagement.
Mid-market enterprises (500 to 5,000 employees)
Organizations that have outgrown their current infrastructure but lack the internal capacity to run a migration or AI deployment program without external delivery expertise.
Regulated industries
Financial services, insurance, healthcare IT, and utilities businesses where AI deployment must operate within strict regulatory constraints, audit requirements, and data handling rules.
Full cloud migration for a 200-person enterprise. Zero minutes of downtime.
A mid-market enterprise needed to migrate 52 on-premise services to AWS EKS without disrupting operations. Procurement, security review, and change advisory board approval all ran in parallel with engineering. Cutover of 47 of 52 services completed in a 16 week phase inside a six month programme. The client's SOC 2 Type II certification was maintained throughout. Zero minutes of production downtime.
Read the case study0 min
Downtime during full cloud migration
47/52
Services cut over in a 16 week phase
SOC 2
Client Type II posture held throughout
Enterprise delivery model, built for organizations that need governance at every phase gate.
Security and compliance
- Security review before every go-live
- SOC 2 audit readiness built into delivery
- Data residency and GDPR compliance
- Role-based access control review
- Incident response runbooks on handoff
Procurement and contracting
- Statement of Work with milestone delivery
- MSA and MNDA handling from day one
- Enterprise vendor onboarding support
- Fixed-fee milestone billing available
- Documented change control process
Stakeholder governance
- Weekly executive briefing cadence
- RACI matrix established from sprint one
- Risk register maintained throughout
- Change advisory board participation
- Defined escalation paths at every level
The stack behind every enterprise delivery.
Cloud Infrastructure
- AWS EKS and ECS
- Azure Kubernetes Service
- GCP GKE and Anthos
- Terraform and Pulumi for IaC
- ArgoCD for GitOps deployment
- Prometheus, Grafana, and Datadog
AI and Integration
- Azure OpenAI and Claude APIs
- MuleSoft and Kafka for integration
- Snowflake Enterprise Edition
- Databricks for ML workloads
- SAP and Salesforce connectors
- ServiceNow workflow automation
Security and Compliance
- SOC 2 Type II readiness
- ISO 27001 alignment
- HashiCorp Vault for secrets management
- AWS IAM and Azure Active Directory
- SIEM integration and log aggregation
- Penetration testing protocols
Every MetaSys capability applies at enterprise scale.
We deploy AI across six sectors.
Frequently asked questions
Enterprise delivery starts with a single scoping call.
Talk to an Enterprise Architect. We will scope the engagement, map the compliance requirements, and give you a fixed-fee proposal within 5 working days. No obligation. No generic deck.