Azure Cloud
Build a cloud foundation that scales.
- Azure Landing Zones
- Cloud Architecture
- Cloud Migration
- Networking
- Identity
- Infrastructure as Code
- DevOps
- Resilience
Microsoft Cloud · Security · AI · FinOps consultancy
Build a Secure, AI-Ready Cloud
TekLid helps organizations design, secure and optimize Microsoft Azure environments and turn enterprise AI ideas into production-ready solutions.
- Azure Cloud
- Cybersecurity
- Enterprise AI
- FinOps
FINOPS & GOVERNANCE
Data & AI Services
Security & Governance
Azure Foundation
Cloud architecture, security, AI and cost governance — designed as one system.
- Microsoft Azure
- Microsoft Security
- Infrastructure as Code
- Enterprise AI
- Microsoft Fabric
- FinOps
Core practices
Four disciplines, one architecture.
Cloud Security
Secure identities, infrastructure, applications and data.
- Zero Trust
- Microsoft Defender
- Microsoft Sentinel
- Entra ID
- Conditional Access
- PIM
- Microsoft Purview
- Security Assessments
Enterprise AI
Move enterprise AI from experiment to production.
- AI Strategy
- RAG
- AI Agents
- Azure OpenAI
- Enterprise Search
- AI Applications
- Microsoft Fabric
- AI Governance
FinOps
Control the economics of cloud and AI.
- Azure Cost Optimization
- AI FinOps
- Model Cost Analysis
- Rightsizing
- Budgeting
- Chargeback / Showback
- Cost Governance
- AI Unit Economics
Why TekLid
Cloud, Security and AI should not be designed separately.
Most consultancies hand infrastructure, security, AI and cost management to separate teams. The result is duplicated controls, late security reviews and AI pilots that never reach production. TekLid designs all four as a single architecture, from the first landing zone to the monthly cost report.
- Architecture-first approach
- Microsoft cloud specialization
- Security built in from the beginning
- Infrastructure as Code
- AI governance
- Cost-aware architecture
- Enterprise integration
- Pragmatic implementation
Typical approach
Infrastructure team
Security vendor
AI agency
Finance spreadsheet
Four owners, four toolchains, no shared model.
TekLid architecture
Data & AI
Security & Governance
Azure Foundation
FinOps & Operations across all layers
One team, one code base, one operating model.
Productized assessments
Start with a focused assessment.
Fixed scope, senior architects, a written report and a prioritized roadmap within two to three weeks.
All assessments delivered remotely or on site.
Cloud
Azure Cloud Health Check
Starting from€1,500
2 weeks · remote or on site
Scope
- Architecture review
- Governance review
- Reliability review
- Cost review
- Prioritized roadmap
Security
Microsoft Security Assessment
Starting from€2,500
2–3 weeks · read-only tenant access
Scope
- Entra ID
- Defender
- Sentinel
- Purview
- Security posture
- Prioritized remediation plan
AI
AI Readiness Assessment
Starting from€2,500
3 weeks · workshops included
Scope
- Business use cases
- Data readiness
- Architecture
- Security
- Governance
- Cost
FinOps
Cloud & AI FinOps Assessment
Starting from€2,000
2 weeks · billing export based
Scope
- Azure spend
- Model usage
- Architecture efficiency
- Token / model costs
- Optimization roadmap
Engagement model
From assessment to continuous operation.
- 01
Assess
Understand architecture, risks, opportunities and costs.
- 02
Implement
Design and deliver the required cloud, security or AI solution.
- 03
Operate & Optimize
Provide ongoing monitoring, governance, security and FinOps.
Managed services
From project delivery to continuous optimization.
TekLid CloudCare
A retained architecture and operations service covering cloud health, security posture, cost optimization, architecture governance, incident support and AI operations, with a monthly executive report.
Essential
Single subscription, foundational posture.
- Monthly cloud health review
- Security posture score
- Cost anomaly alerts
- Quarterly executive report
Professional
Multi-subscription, regulated workloads.
- Everything in Essential
- Architecture governance board
- Incident support (business hours)
- Continuous cost optimization
- Monthly executive report
Enterprise
Multiple tenants, AI workloads in production.
- Everything in Professional
- AI operations & model cost control
- Named lead architect
- Extended incident support
- Custom reporting & SLAs
Enterprise AI in production
Governed AI assistants on your own Microsoft data.
Every solution follows the same pattern: Entra ID identity, permission-trimmed retrieval, Azure OpenAI inside your tenant, and cost telemetry from day one.
SharePointRAGAnswer
Knowledge Assistant
Secure enterprise search across SharePoint, policies and documents.
TicketsAgentResolution
IT Support Agent
Help employees troubleshoot common technical issues.
SentinelAgentSummary
Security Operations Agent
Summarize incidents and assist analysts with investigations.
FabricRAGInsight
Finance Intelligence
Explain spending, forecasts and financial variances.
HR PoliciesRAGAnswer
HR Assistant
Answer employee questions using governed internal knowledge.
Technical depth
Built on the Microsoft cloud stack, delivered as code.
- Microsoft Azure
- Azure Landing Zones
- Entra ID
- Microsoft Defender
- Microsoft Sentinel
- Microsoft Purview
- Microsoft Fabric
- Power Platform
- Azure OpenAI
- Azure AI Search
- Terraform
- Bicep
- GitHub Actions
- Azure DevOps
- KQL
- Power BI
Industries
Regulated, distributed and growing organizations.
Insights
Architecture notes from the field.
Enterprise AIRAG vs AI Agents: Which Architecture Should Enterprises Use?SecuritySeven Azure Security Gaps Organizations Commonly MissFinOpsWhy AI FinOps Will Become Critical for Enterprise AICloudTerraform vs Bicep for Enterprise AzureEnterprise AIPreparing Your Microsoft Environment for Enterprise AI
Ready to build a secure, AI-ready Microsoft cloud?
Start with a focused assessment of your cloud, security, AI or FinOps environment.