AI engineering, Microsoft cloud, secure operations
We build AI systems that transform how businesses operate.
From governed AI agents and Microsoft automation to secure cloud platforms and enterprise applications, Stellar helps organizations across Canada and the United Kingdom modernize with confidence.
- AI
- agents, copilots, automation
- Apps
- custom business platforms
- Cloud
- Microsoft security and operations
- SignalInvoice exception
- PolicyHuman approval required
- ActionAgent drafts response
- ReceiptEvidence retained
context.bind(client)
approval.require()
hermes.receipt()
- DiscoverMap the operating problem
- BuildShip the AI or software system
- OperateSupport it with governance
What we build
Engineering services for companies that need practical AI, secure Microsoft systems, and software that works.
Stellar is an AI engineering and Microsoft solutions company. The service model is consulting-led: understand the business operation, design the system, build it, secure it, and keep it running.
AI Development
Custom AI agents, internal copilots, LLM workflows, executive AI, and governed automation grounded in real business evidence.
Custom Software
Business applications, portals, CRM workflows, accounting platforms, operational systems, and industry software.
Microsoft Cloud & Security
Azure, Microsoft 365, Entra, Intune, Defender, Purview, compliance controls, and secure cloud modernization.
Enterprise Automation
Workflow systems, approval chains, document intelligence, integrations, task orchestration, and evidence capture.
Cybersecurity & Compliance
Risk reduction, control mapping, audit evidence, data governance, privacy posture, and resilient operating models.
IT & Managed Services
Managed support, infrastructure projects, endpoint operations, monitoring, helpdesk, lifecycle planning, and business continuity.
Visual proof
Real systems, not abstract capability claims.
Products we have built
Proprietary platforms are proof of engineering capability.
Stella is not the whole company. It is one example of what Stellar can design, build, govern, and operate for serious business environments.
Microsoft operations
Stella
Built to answer a hard operating question: which Microsoft risks need executive action, what evidence proves them, and who is accountable?
- Microsoft posture and tenant visibility
- Evidence-backed AI recommendations
- Governed remediation workflow
Founder operating system
FounderHub
Built to make AI agents part of a founder's daily operating rhythm instead of disconnected experiments.
- Executive dashboard and marketplace
- Installed agent products
- Responsive mobile product surfaces
Financial operations
Iris
Built to prove accounting workflows can be client-scoped, evidence-aware, and governed without slowing the firm down.
- Document and review queues
- Ledger, tax binder, reports
- Evidence viewer and tenant context
AI growth automation
Nova
Built to test how autonomous outbound can remain useful only when targeting, messaging, replies, and approvals stay human-governed.
- Lead radar and outreach engine
- CRM activity logging
- Approval guardrails
Governance systems
Themis
Built around the idea that important business actions need authority, proof, review, and fail-closed states.
- Policy and approval models
- Decision evidence chains
- Regulated workflow control
Infrastructure command
Orion
Built to connect runtime telemetry, repair workflows, operational evidence, and infrastructure reporting.
- Runtime health and telemetry
- Repair-loop evidence
- Operations reporting
Case studies
How the engineering shows up in real delivery.
These are implementation patterns from verified internal product work. Public client impact numbers are not claimed until measured with a client deployment.
Stella Unified
Problem: Microsoft environments create more signals than leaders can govern.
Approach: unify posture, risk, tenant state, and control evidence in an executive command surface.
Architecture: Microsoft signals, tenant-aware operations, AI recommendations, approval boundaries, evidence receipts.
Outcome: leadership sees what needs action and why before technical drift becomes an audit or security issue.
Technologies: Microsoft 365, security posture, AI recommendation layer, governed evidence model.
Engineering decisionAI can recommend, but authority remains policy-bound and receipt-backed.
Iris
Problem: accounting teams lose time moving between documents, review queues, ledgers, and evidence.
Approach: build a workflow surface that keeps client context, documents, review status, reconciliation, and reporting together.
Architecture: client-scoped workflow, document queue, evidence viewer, ledger, tax binder, and reports.
Outcome: less context switching and a stronger audit trail for financial operations work.
Technologies: workflow UI, evidence model, accounting surfaces, tenant-aware operations.
Engineering decisionEvery financial workflow starts from explicit client context instead of a global default.
FounderHub
Problem: founders need one operational workspace for products, agents, tasks, and business health.
Approach: design a dashboard and marketplace that makes AI agents part of the daily operating system.
Architecture: dashboard, marketplace, installed products, mobile access, product factory, and AI agent layer.
Outcome: leadership can see work, agents, product health, and execution in one place.
Technologies: marketplace UI, agent surfaces, responsive product shell, executive dashboard.
Engineering decisionAI products should be visible, installable, governable, and understandable from one operating surface.
Featured proof point
Stella shows how Stellar engineers AI operations.
Operating confidence88%+14 this quarter
Identity7 controls improvingOwner assigned
Endpoint184 devices verified3 exceptions
DataPurview labels expandingPolicy review
MFA enforcedDefender activeLegacy auth
Intune enrolledLocal adminCA policies
SignalPolicyApprovalActionReceipt
Why companies hire Stellar
We become the engineering partner behind operational transformation.
Build systems, not slide decks
Engagements are measured by working software, automated workflows, secure cloud posture, and operational adoption.
Connect AI to the business
AI work starts with the process, data, approvals, risks, and people who will rely on the system.
Operate what we build
Stellar can support the Microsoft, infrastructure, security, and helpdesk layer around the systems it delivers.
How projects move
A serious delivery process for AI systems that must survive production.
Discover
Map the business operation, data, risk, people, approvals, and success criteria.
Architecture
Design the system boundaries, Microsoft integration, security model, and evidence path.
Build
Ship the AI agents, software workflows, integrations, dashboards, and automation.
Secure
Validate identity, tenant isolation, permissions, logging, secrets, and approval boundaries.
Deploy
Release with rollback, monitoring, readiness checks, and executive acceptance evidence.
Operate
Support the Microsoft, infrastructure, endpoint, security, and helpdesk layer around the system.
Improve
Use real usage, telemetry, incidents, and business feedback to keep improving the operating model.
Delivery model
Strategy, build, security, and operations in one accountable team.
AI discovery
Architecture
Software build
Microsoft cloud
Stellar engineering partner model
Security
Compliance
Automation
Managed operations
Trust and governance
AI systems need controls before they need hype.
Stellar designs AI and software systems with security, privacy, responsible AI, audit evidence, access control, and operational accountability built into the delivery model.
Security
Least-privilege Microsoft environments, hardened endpoints, protected data flows, and explicit approval boundaries.
Privacy
Data handling is documented by region, system, purpose, retention requirement, and access model.
Responsible AI
AI recommendations are grounded in evidence and require human approval for material business actions.
Operational continuity
The same team can build the system, secure it, monitor it, support it, and improve it after launch.
Delivery governance
Every serious engagement gets scope, ownership, decision checkpoints, risk tracking, and acceptance evidence.
Architecture reviews
Identity, data flow, Microsoft integration, tenant boundaries, automation authority, and rollback are reviewed before build-out.
Quality assurance
Critical workflows are verified with reproducible checks instead of assumed from demos or AI-generated claims.
Executive reporting
Leaders get plain-language progress, risk, architecture, delivery evidence, and operating decisions.
Why Stellar
Why not a generic software company, freelancers, or a traditional MSP?
Usually stops at the application boundary.
Stellar connects the application to Microsoft identity, security, compliance, operations, support, and executive reporting.
Usually depend on individual heroics.
Stellar builds with governance, continuity, documentation, operational support, and accountable delivery checkpoints.
Usually supports systems after someone else builds them.
Stellar can design, build, secure, deploy, and operate the AI and software systems together.
Industries
For organizations where AI and Microsoft systems must be useful, governed, and supportable.
Firm workflows and evidence
Client portals, bookkeeping systems, reporting automation, approvals, and audit trails.
Confidential operations
Secure document workflows, matter operations, Microsoft governance, and controlled AI assistance.
Privacy-aware systems
Operational software, secure collaboration, access control, and data governance.
Operational automation
Process systems, reporting, inventory workflows, and AI-assisted decision support.
Project intelligence
Field workflows, document routing, budget visibility, approvals, and mobile-ready systems.
Client delivery systems
CRM, portals, automation, Microsoft modernization, and executive reporting.
Governed modernization
Secure cloud transformation, records workflows, service operations, and resilience planning.
Secure collaboration
Microsoft 365, identity, device management, automation, and support operations.
Canada and Manchester
Canadian-built. UK-ready. Manchester is the flagship launch market.
Canada and the United Kingdom are both intentional markets. Manchester is the primary UK launch city for AI engineering, Microsoft security modernization, data governance, compliance evidence, and business resilience.
AI and Microsoft transformation for growing firms
Engineering, automation, cloud, security, and managed operations for SMB and mid-market organizations.
View CanadaGovernance and resilience for UK leaders
Data governance, regulatory confidence, Microsoft modernization, secure AI, and international delivery capability.
View UKFlagship UK launch market
Stellar is building a long-term UK presence through Greater Manchester: secure AI delivery, Microsoft modernization, compliance evidence, and business resilience for mid-market and enterprise teams.
View ManchesterEngineering Journal
Teach first. Sell second. Show how serious systems are built.
Stellar's public authority should come from architecture decisions, field notes, implementation guides, Microsoft security research, and lessons learned from building real platforms.
Why governed AI agents need approval boundaries before autonomy.
Explains the difference between AI assistance, delegated action, and policy-bound execution with evidence receipts.
Turning Entra, Defender, Intune, and Purview signals into executive decisions.
Shows how posture data becomes operating rhythm: risk, owner, approval, action, verification, and reporting.
Designing client-scoped workflows for accounting, legal, and professional services.
Breaks down tenant context, document queues, review states, audit evidence, and permission boundaries.
What we learned building product marketplaces for AI agents.
Looks at installable agents, permissions, billing context, mobile UX, and how to keep AI understandable.
After you contact us
No vague discovery theatre. A concrete path to a build decision.
Executive briefing
We identify the business operation, constraints, Microsoft environment, data sensitivity, and success criteria.
Architecture brief
You receive a clear technical direction: build path, risks, integration model, governance requirements, and delivery options.
Proof system
We ship a narrow working system that proves value, reveals integration risk, and gives leaders something real to evaluate.
Operate and improve
The system moves into support, reporting, security review, automation hardening, and measured improvement.
Engineering briefing
Bring the operation your team cannot solve with off-the-shelf software.
Stellar will map the AI, enterprise software, Microsoft cloud, security, compliance, and managed operations work required to make it real.