The tenant is the platform. We engineer it properly.
Identity architecture, tenant design, mail and document platforms, cloud landing zones, device and threat management, hybrid environments and migrations, across Microsoft 365, Google Workspace, Slack, Azure and Google Cloud. The Graph, Google API and PowerShell foundations our automation and AI systems run on, built by architects who have run enterprise estates rather than resold licences.
Entra ID or Google Cloud Identity designed as the control plane, not an address book.
Every automation and every AI agent we build acts as an identity. If the identity model is weak, everything above it is weak, whichever stack you run.
- Entra ID and Google Cloud Identity directory design
- Conditional access and context-aware access policy sets built from real signals
- Privileged identity, admin role and break-glass design
- Application registrations and service accounts with least-privilege API scopes for Graph, Google and Slack
- Single sign-on and SAML or OIDC federation for the SaaS apps your team already uses
- Hybrid identity: on-premises AD, sync and cut-over
- External identities, guests and partner access
A Microsoft 365 or Google Workspace tenant that will still make sense in five years.
Naming, governance, lifecycle, licensing and information architecture decided once and enforced with automation, on whichever platform the business runs, or both.
- Tenant baseline and governance model for Microsoft 365 or Google Workspace
- SharePoint and Google Drive information architecture and permission design
- Teams and Slack governance, lifecycle, channel structure and voice
- Exchange Online and Gmail mail flow, routing rules and protection
- OneDrive and Drive retention and data lifecycle policies
- Coexistence design for businesses that run Microsoft and Google side by side
- Modern workplace rollout and adoption support
Document-heavy practices get particular care with SharePoint and shared drives. Library structure, metadata and naming are what make document intelligence reliable later.
Landing zones sized for the workload, not the brochure.
Cloud for the things that belong there: private AI operations layers, integration workloads, servers that could not be retired yet, and the networking that connects them safely.
- Azure subscription and Google Cloud project landing-zone design
- Virtual networks, private endpoints, Private Service Connect and hybrid connectivity
- Key Vault, Secret Manager, managed identities and workload identity federation
- Compute for automation and AI workloads
- Backup, recovery and cost management
- Infrastructure as code with Bicep or Terraform, and PowerShell automation
Defender, Intune, Google Workspace security and conditional access working as one system.
Security products are only useful when their signals feed policy. We design the whole loop on either stack.
- Intune and Google endpoint management compliance and configuration
- Defender for Endpoint, Identity and Office 365
- Google Workspace security centre, alert centre and data loss prevention rules
- Conditional access and context-aware access that use device and risk signals
- Secure score remediation with reasons, not just points
- Email authentication and anti-phishing configuration for Exchange and Gmail
- Security baselines maintained as code
Detail on how this connects to governance and AI systems is on the cybersecurity, identity and governance page.
Tenant-to-tenant, Google to Microsoft, Microsoft to Google, and the awkward middle.
Migrations are identity and data problems dressed up as project plans. We plan them that way.
- Tenant-to-tenant migrations for mergers and separations
- Google Workspace to Microsoft 365, and Microsoft 365 to Google Workspace: mail, calendar, Drive, SharePoint and OneDrive
- Slack to Teams, or Teams to Slack, with channel and history planning
- Exchange and file-server migrations to the cloud
- Hybrid Exchange and directory coexistence
- Server workloads to Azure or Google Cloud, or retirement
- Cut-over planning with explicit rollback points
Graph, the Google Admin SDK and PowerShell, so the tenant is configured on purpose.
The same tooling that keeps the tenant consistent is what our automation and AI systems are built on.
- PowerShell for Microsoft 365 configuration, reporting and remediation
- Microsoft Graph and Google Workspace Admin SDK integrations under scoped identities
- Apps Script and Google APIs where the work lives in Workspace
- Slack apps and workflows through the Slack API
- Joiner, mover and leaver automation across the workplace platform and connected SaaS
- Power Automate or n8n where they fit the environment
- Configuration drift detection and reporting
- Documentation generated from the tenant itself
Microsoft is the stack Sigma Labs knows best, and the one the flagship case study runs on. Google Workspace, Slack and Google Cloud are engineered with the same identity-first discipline, and mixed estates, where email lives in one place and files in another, are common and handled as one system.
An AI agent is only as safe as the tenant it runs in.
Identity decides what it can reach
An agent with a scoped application identity and least-privilege Graph or Google API permissions cannot wander. One with a shared mailbox login can.
Information architecture decides what it understands
Consistent libraries, metadata and naming, in SharePoint or in Google Drive, turn document intelligence from a demo into a system that runs unattended.
Operations decides whether it keeps working
Conditional access changes, licence changes and tenant changes break naive integrations. Ours are engineered with the tenant, not around it.
Discuss your Microsoft 365, Google Workspace or cloud environment with an architect.
Tenant reviews, identity design, migrations, Azure, Google Cloud or the foundations for automation and AI. Tell us where it hurts.