Your business can operate smarter.
We architect the systems that make it happen.
Sigma Labs builds private AI, automation and cloud platforms that remove repetitive work, connect fragmented systems and give Australian businesses back valuable time. From the public platform that wins the customer to the private AI that runs the work, we design technology that works as one system.
- Microsoft 365
- Google Workspace
- Microsoft Azure
- Google Cloud
- Entra ID
- Slack
- Google Drive
- Gmail
- Zoom
- HubSpot
- Salesforce
- Xero
- Notion
- Jira & Confluence
- Zendesk
- Shopify
- Power Automate
- n8n
- Zapier
- Twilio
- Stripe
- GitHub
- Microsoft Graph
- MCP servers
Both sides of a modern brokerage, engineered by one team.
For The Mortgage Panel, Sigma Labs engineered the client-acquisition layer, a search-focused public website with calculators, a public AI assistant and structured lead capture into BrokerEngine and Microsoft 365, and the operations layer, a private AI operations assistant the practice calls Mia, spanning document intelligence, inbox management, contract analysis, lender information and reporting under human approval.
Explore the case studyfor use
Your AI. Designed around your business.
Mia is one client's assistant, with a name, voice and interfaces chosen by that practice. Every Sigma Labs deployment is shaped around the organisation it serves. What stays constant is the engineering underneath.
The name is yours.
- Name and identity
- Voice and tone
- Interfaces: portal, messaging, voice
- Permissions and data boundaries
- Specialist agents and workflows
- Connected business systems
The architecture is Sigma Labs.
- AI architecture and model selection
- Agent orchestration
- Integrations, APIs and MCP connectivity
- Identity and security boundaries
- Human approval controls
- Audit, cost and observability
Give it an identity. We engineer what sits behind it.
We don't bolt AI onto your business. We architect the environment it runs in.
Most AI agencies understand one chain: a prompt, a model and a Zapier trigger. That works until the agent needs to read a SharePoint library or a shared drive, respect a permission boundary, sign in as the right identity, survive a tenant change or explain what it cost.
Sigma Labs works across the whole environment, from identity and security through Microsoft 365, Google Workspace, Azure, Google Cloud, applications, data and APIs to automation, AI, infrastructure and day-to-day operations. That is what lets us build systems like Mia and keep them running. Microsoft is where we go deepest; the same discipline applies to Google Workspace, Slack, CRM and finance platforms, and anything with an API or an MCP server.
- IdentityEntra ID or Google identity, conditional access, least privilege
- SecurityDefender, Workspace security, governance, data boundaries
- Workplace platformMicrosoft 365 or Google Workspace, Teams, Slack
- CloudAzure or Google Cloud landing zones, private networking, key management
- ApplicationsCRM, finance, practice and line-of-business systems
- DataDocuments, records, structured and unstructured
- APIsMicrosoft Graph, Google APIs, Slack, vendor APIs, webhooks, MCP servers
- AutomationPower Automate, n8n, Apps Script, PowerShell, event-driven flows
- AIAgents, document intelligence, models, approvals
- InfrastructureNetworks, endpoints, hybrid, backup
- OperationsMonitoring, cost, audit, continuous improvement
Architect. Automate. Operate.
Three connected disciplines, one accountable team. Design the system, remove the repetitive work, then keep it secure and improving.
Design secure enterprise technology systems.
Cloud, identity, security and integration architecture decided before anything is built, so the AI has somewhere safe to run.
- Cloud
- Identity
- Security
- Networking
- Infrastructure
- Applications
- AI systems
- Integration
Remove repetitive work with APIs, workflows, software and AI.
Agents, document processing and integrations built against the architecture, with human approval where the outcome matters.
- APIs
- Workflows
- Agents
- AI
- Document processing
- Integrations
- Business applications
Secure, monitor, support and continuously improve the environment.
The unglamorous half that most AI projects skip: patching, backup, monitoring, cost control and the support desk behind it.
- Microsoft 365
- Azure
- Endpoints
- Networks
- Backup
- Security
- Monitoring
- Optimisation
AI that does real work inside real systems.
Not a chatbot bolted to a website. Specialised agents, document intelligence and automation that read your documents, act in your systems and stop for a person when it counts.
AI Agents
Specialised business, research, operational and customer-facing agents with human-in-the-loop controls.
Document Intelligence
Classification by content, OCR, extraction, validation, routing, summarisation and compliance workflows.
Business Process Automation
Workflow discovery, API orchestration, approval workflows and event-driven automation across your systems.
Knowledge Systems
Retrieval and enterprise search over Microsoft 365, Google Workspace, SharePoint, Slack, CRM, databases and internal documentation.
Voice AI
Inbound enquiry handling, qualification, scheduling and client servicing with clear hand-off to people.
AI Architecture & Governance
Model selection, identity, access control, data boundaries, approvals, monitoring, cost tracking and audit.
We do not promise that AI replaces your staff. We design systems that return capacity to the team you already have, and we measure it.
Explore AI & AutomationFrom search to business workflow.
A modern website can do more than publish information. Sigma Labs combines technical SEO, interactive tools, AI-assisted engagement and systems integration so a visitor can move from discovery to structured operational follow-up without disconnected manual handoffs.
It is a capability within Systems Integration & Business Automation, not a web-design package. The reason it works is that the same team engineers the identity, security, CRM, Microsoft 365 and AI architecture the website hands into.
- SearchThe right visitor finds the right page.
- EngageGuides, calculators and an AI assistant answer real questions.
- QualifyStructured intent is captured, with consent.
- IntegrateThe lead lands in the CRM and Microsoft 365.
- Follow upTasks and notifications reach a person.
The tenant is the platform. We engineer it properly.
Identity architecture, tenant design, mail and document platforms, device and threat management, hybrid environments and migrations, across Microsoft 365, Google Workspace, Azure and Google Cloud. The same Graph, Google API and PowerShell foundations our automation and AI systems run on.
This is not licence reselling with a support desk attached. It is the difference between an AI agent that "has access to email" and one that acts under a scoped application identity with the least permission the job needs, whether that mailbox is in Exchange or Gmail.
Cloud platform engineeringWorks with the platforms you already run.
Microsoft is where we go deepest. The same identity-first discipline applies to Google Workspace, Slack, your CRM, finance, support and practice systems, and anything that exposes an API, webhooks or an MCP server. If your team already runs on it, we build around it rather than asking you to move.
- Microsoft 365
- Google Workspace
- Slack
- Microsoft Teams
- Google Meet
- Zoom
- Notion
- Miro
- SharePoint
- OneDrive
- Google Drive
- Google Docs & Sheets
- Dropbox
- Box
- DocuSign
- Adobe Acrobat Sign
- PandaDoc
- Exchange / Outlook
- Gmail & Google Calendar
- Microsoft Bookings
- Calendly
- Twilio
- WhatsApp Business
- Telegram
- Teams Phone
- HubSpot
- Salesforce
- Dynamics 365
- Pipedrive
- Zoho CRM
- Xero
- MYOB
- QuickBooks
- NetSuite
- Business Central
- Stripe
- Square
- Jira
- Confluence
- monday.com
- Asana
- ClickUp
- Trello
- Airtable
- Smartsheet
- Zendesk
- Freshdesk
- Intercom
- Jira Service Management
- Mailchimp
- ActiveCampaign
- Klaviyo
- Typeform
- Jotform
- Microsoft Forms
- Google Forms
- Employment Hero
- BambooHR
- Deputy
- Tanda
- Shopify
- WooCommerce
- BigCommerce
- Power Automate
- n8n
- Zapier
- Make
- Microsoft Graph
- Google APIs & Apps Script
- Slack API
- MCP servers
- REST & GraphQL APIs
- Webhooks
- GitHub
- GitLab
- Azure DevOps
- Azure
- Google Cloud
- Cloudflare
- Entra ID
- Google Cloud Identity
- Okta
- Azure OpenAI
- Anthropic Claude
- OpenAI
- Google Gemini
- Azure SQL
- PostgreSQL
- BigQuery
- Snowflake
- Power BI
- Looker Studio
- Broker & lending CRMs
- Practice management
- Legal matter systems
- Clinical & patient systems
- via their APIs
Not listed? If it has an API, a webhook or an MCP server, we can architect around it. Every integration runs under a scoped identity with the least permission the job needs, and data flows to any third-party platform are designed, documented and agreed with you first.
Measured on the client's console, not promised.
The Mortgage Panel runs 406 client files across 792 deals. Loan applications generate identity documents, payslips, bank statements, contracts and lender correspondence, and filing and finding it all was consuming most of an assistant's week.
Mia now classifies documents by their content rather than their filename, sweeps the inbox, drafts replies for approval, reviews contracts against the broker's checklist, maintains lender information and produces operational reports on demand. Every consequential action waits for a person.
The same team engineered the practice's public website: search-focused architecture, calculators and a public AI assistant that hands structured leads into BrokerEngine and Microsoft 365. That website was reviewed by AFG Compliance and approved for use.
Read the full case studyBefore and after
Twelve weeks before Mia against her first fortnight, measured from the practice mailbox.
| Measure | Before | With Mia | Change |
|---|---|---|---|
| Emails sent per working day | 13.5 | 17.1 | +27% |
| Email sent after hours or on weekends | 35% | 25% | −10 pts |
| Client emails answered within 24 hours | 74% | 90% | +16 pts |
AI that operates inside guardrails.
Every system we build is architected around the customer's existing Microsoft 365, Google Workspace or cloud environment and its security boundaries. Data flows and third-party processing are explicitly designed, documented and controlled.
Customer-controlled data
Documents and records stay in the customer's own tenant and storage. We design around them rather than copying them out.
Least-privilege access
Agents run under scoped application identities with only the API permissions, Graph, Google, Slack or vendor, and file access the job needs.
Identity-first architecture
Entra ID or Google identity, conditional access and role design come before any model is chosen.
Human approval
Sending, filing to a client record, contract findings and anything consequential waits for a person.
Auditability
Every task, decision and approval is logged so the practice can answer "why did it do that?"
Cost visibility
Model and infrastructure spend is tracked per task and surfaced on the operations console.
Observability
Running tasks, queues, errors and agent activity are visible live, not discovered later.
Secure integrations
APIs, webhooks and secrets handled with the same discipline as any enterprise integration.
Model flexibility
Models are selected per task and can be swapped as capability, cost and data terms change.
Clear failure boundaries
When an agent is unsure or a step fails, work stops at a defined point and a person is told.
Document-heavy, regulated and short on time.
The practices where careful automation returns the most capacity are the ones where mistakes matter.
Financial Services
Client onboarding, identity documents, compliance records and reporting across Microsoft 365 or Google Workspace.
DetailsMortgage & Lending
Deal-anchored document filing, lender correspondence, contract review and pipeline reporting.
DetailsProfessional Services
Engagement files, inbox triage, proposals and knowledge retrieval for advisory and accounting firms.
DetailsLegal
Matter-based document intelligence, contract analysis against checklists and secure knowledge systems.
DetailsHealthcare
Identity-first Microsoft 365 or Google Workspace environments, referral and correspondence workflows with strict data boundaries.
Details
Founder & Principal Solutions Architect
Sigma Labs is architecture-led from the top. Complex engagements are designed with direct involvement from a senior solutions architect spanning Microsoft and Google cloud platforms, identity, infrastructure, automation and AI.
Our founder is a hands-on technical architect rather than a general manager. The systems on this site, including the brokerage assistant's identity model, document pipeline and operations console, were designed and built with their direct involvement.
About Sigma LabsDiscover → Architect → Automate → Operate
The same sequence whether the engagement is a tenant rebuild, an integration or a private AI operations layer.
Discover
Understand people, processes, applications, documents, systems, data and the repetitive work that consumes the week.
Architect
Define integrations, identity, permissions, models, security boundaries, approvals and the system design.
Automate
Build and test workflows, agents, integrations, interfaces and business logic against real documents and data.
Operate
Monitor security, performance, AI cost, reliability and business outcomes, and keep improving them.
Discuss your environment with an architect.
Tell us what is consuming your team's time. We will tell you honestly whether it is an AI problem, an automation problem or an architecture problem, and what it would take to fix.