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Azure Agentic Platform & Infrastructure
Governed Azure landing zones as the foundation — identity and network segmentation built in from day one, not drift-prone portal deployments.
Canada & Beyond · Agentic DevOps & AI Platform Engineering
Ship it. Scale it.
Your agentic AI pilot works in the demo. Most don't survive the second team that tries to build on them — Gartner predicts over 40% will be cancelled by the end of 2027.
We get Azure AI platforms into production with proper landing-zone governance, and GitHub-native agentic tooling as the delivery backbone — built by the same engineer who ships it, not handed off as a slide deck.
Based in Calgary · Serving enterprise and mid-market teams across Canada and beyond
What We Do
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Governed Azure landing zones as the foundation — identity and network segmentation built in from day one, not drift-prone portal deployments.
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Building and deploying custom agents from inception to production on Microsoft Foundry — or Databricks, where that's the data platform of record. Multi-agent architecture and MCP integration, not just a platform to run them on.
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Evaluation gates, model routing, and cost discipline built into the deployment pipeline — not a review meeting bolted on after the fact. The judgment to know when an agent is the wrong tool for the job.
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GitHub Copilot's coding agent and agent mode, Actions, and MCP as the delivery backbone — agents handling the drudgery so your engineers spend their time on the decisions that need a person.
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Choosing the right target — App Service, Container Apps, or AKS — and AI-driven modernization tooling to upgrade legacy Java and .NET applications, instead of a manual rewrite.
How It Works
Pricing is scoped to what you're actually building — a landing zone assessment, a full agent platform, and a legacy modernization are different projects. See the Readiness Review.
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No pitch. A straight conversation about your platform, your team, and where governance is thin.
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A two-week review of where evaluation gates, identity, and cost controls stand today — against what production actually needs.
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A pipeline built to be reused by the second and tenth team, not rebuilt bespoke each time.
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Forward deployed engineering — we build and ship the system, embedded with your team until it's running.
Use Cases
A pattern founder Kevin Evans saw repeatedly across oil & gas customers during his years at Microsoft.
Read the full write-up →See more use cases →Proof, Not Slides
Fact-checked against current Microsoft and GitHub documentation, not marketing copy.
Free Resources
A scorecard and two checklists for teams putting agents into production. The checks are free on the web, and nothing asks for a call.
Memberships & Affiliations
An active member of the programs and partnerships shaping cloud, security, and open source — from the Government of Alberta to the platforms enterprises run on.
Why Kevin Evans
My career started in infrastructure — racking servers in data centres, building platforms, and learning how systems actually work at the hardware level. From there I moved into architecting cloud platforms, then applications and AI — including nearly five years at Microsoft, rising from Azure Customer Engineer to Senior Solutions Engineer, leading cloud and AI platform strategy for enterprise adoption. I don't just advise on technology — I've built it, across the full stack.
I've been on both sides of the table: the technology leader inside the organization making the decisions, and the trusted advisor helping clients get it right.
More about Kevin Evans →FAQ
Founder Kevin Evans spent nearly five years at Microsoft — from Azure Customer Engineer through Senior Solutions Engineer — leading cloud and AI platform strategy, and is CNCF Ambassador and Chapter Lead for Calgary's cloud-native community. Forward deployed engineering means he's embedded with your team, not a name on a partner slide.
No. We build the governance pipeline, landing zone, and agent tooling as reusable infrastructure your team owns and extends — embedded alongside your platform team, not instead of them.
Pricing depends on scope — a landing zone assessment, a full agent platform build, and a legacy modernization are different projects. Book a discovery call for a straight answer once we know what you're trying to ship.
Also From Us
33 yes-or-no checks to take AI agents from pilot to a platform other teams can trust: evaluation gates, identity, spend, and human approval.
44 yes-or-no checks, in the order to decide them, to get an Azure AI Landing Zone ready before your first agent ships. Based on Microsoft's own checklist.
A CISO at a large government organization told me modernizing apps is the fastest way to shrink attack surface and SBOM exposure. I checked the evidence.
Also Available
For startup founders and growing-business owners about to make a five- or six-figure technology decision with no one senior enough in the room to sanity-check the vendor pitching them — a fractional CTO gives you strategy, security, and AI readiness without the cost of a full-time hire.
Ready When You Are
Book a free discovery call. No pressure, no sales pitch — just a straight conversation about where you are and where you want to go.
Book a Discovery Call