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Work & Results

Real deployments. Measurable outcomes.

Case studies, how we work, and the tools we build with.

01
Fortune 500 · BPO & Customer Experience

Conversational AI — 55% autonomous ticket resolution

Built a production Conversational AI system handling IT support tickets autonomously. Gemini served as the reasoning engine, with a RAG pipeline built on Vertex AI Search against the knowledge base. Resolution time dropped from 4 hours to 8 minutes, recovering 2 FTE-equivalents per quarter.

Vertex AI Agent BuilderGeminiCloud FunctionsRAG PipelineMLflow
55% autonomous resolution · 4 hrs → 8 min response time
02
Enterprise GCP Migration

740+ workloads migrated — zero downtime, $5M+ optimized

Led end-to-end migration of 740+ enterprise VMs to GCP with zero downtime. Established Architecture Review Boards, deployed Security Command Center Premium, and built Terraform-automated infrastructure at scale, maintaining a 99.95% uptime SLO throughout.

GCPTerraformSecurity Command CenterVPC Service ControlsCMEK
Zero downtime · $5M+ infrastructure optimization
03
4 Fortune 500 Clients · Airline · Retail · SaaS

12 enterprise platforms — 92% → 99.5% pipeline reliability

Delivered 12 enterprise cloud landing zones and AI data platforms. Built AI-powered data quality monitoring using BigQuery ML and Vertex AI. Pipeline reliability improved from 92% to 99.5%, preventing $2M+ in data quality issues across 4 Fortune 500 clients.

BigQueryVertex AIDatabricksCloud ComposerMLflow
99.5% reliability · $2M+ data issues prevented
04
Professional Services Firm · AI Readiness Audit

11 automation opportunities mapped — $180K annual value identified

Conducted a structured AI Readiness Audit across a professional services firm's operations. Mapped workflows, data flows, and manual touchpoints across 6 departments. Identified 11 automation candidates ranked by ROI and implementation complexity, with the top 3 priorities projecting $180K in annual efficiency recovery.

AI Readiness AuditProcess MappingROI Analysisn8nClaude
11 opportunities identified · $180K projected annual value
05
Life-Sciences Consultancy · AI-Assisted GTM Platform

GTM Command Center — one problem-first playbook for every customer-facing team

Designed and built a go-to-market command center: a library of codified, problem-first plays, stage-gate alignment, adoption scoreboards, and a training hub, with a nightly AI pipeline that classifies sales conversations against the plays under human-in-the-loop review.

AI ClassificationHuman-in-the-LoopPlay LibraryScoreboardsTraining Hub
How it works

From first call to first automation live.

1

Discovery Call

30 minutes. You explain your business. I ask about your data flows, security posture, compliance requirements, and where your team loses the most time. No pitch deck — a real conversation.

2

Operational Diagnostic

1–2 weeks. I map where money flows, where time is wasted, and where AI creates measurable leverage. Every opportunity is ranked by projected ROI — a prototype often starts before the diagnostic wraps.

3

Build & Deploy

1–4 weeks to first automation live. Built with n8n, Vertex AI, Gemini, or Claude — whichever fits your workflow and security requirements. Deployed to your environment. You own everything.

4

Iterate & Expand

Each month we review what's running, measure impact, and identify the next highest-value opportunity. Your AI capability compounds — and so does the ROI.

NDA signed before any data is discussed. GoC Level II clearance means government engagements can proceed without delays. Your security requirements are the starting point — not an obstacle we work around.

Built with

The tools that power your automation.

Enterprise-grade AI automation built on proven platforms — not demo tools.

Workflow & Automation

n8n · Make (Integromat) · Zapier · Cloud Functions · Cloud Run · Cloud Scheduler

AI & LLM

Google ADK · Vertex AI · Gemini · Claude (Anthropic) · OpenAI · LangChain · LangGraph · RAG Pipelines · Vertex AI Agent Builder · MLflow

Cloud & Data

Google Cloud (GCP) · GKE / Kubernetes · BigQuery · Terraform · Cloud Composer · Databricks · Pub/Sub · Cloud Storage · Docker

FAQ

Questions I get on every first call.

Who is Ofnex the right fit for?
Canadian and international businesses with $5M–$200M in revenue that have clear manual processes eating their team's time — invoicing, reporting, customer follow-ups, data entry, internal support. Also government agencies and regulated industries (healthcare, financial services) where security clearance and compliance experience matter as much as the AI itself.
How is Ofnex different from an AI agency or freelancer?
Most agencies have a discovery team that hands off to a build team that hands off to a support team. By the time something breaks, nobody who understood your business is still on the account. At Ofnex, I do the discovery, the build, and the ongoing improvement myself — the institutional knowledge doesn't go anywhere.
What does it cost to get started?
It depends on scope. Secure AI Automation is the lightest way in — one focused automation scoped, built, and delivered within a week, so you can see exactly what Ofnex delivers before committing to anything larger. Larger engagements — AI agents, GCP security reviews, monthly retainers — are scoped to your specific requirements after a quick conversation. See what's offered on the Services page, or get in touch for a quote.
How quickly will we see something working?
First automation is live within 1–4 weeks depending on complexity. There are no 6-month discovery phases — the diagnostic and the prototype run in parallel, so by the time the roadmap is finalized, you already have something running in your environment.
Can you work with government or regulated industries?
Yes — it's where I have the most experience. GoC Level II Security Clearance valid to 2033. PBMM, ITSG-33, GC Cloud Security Guardrails, PIPEDA, PHIPA, PCI-DSS — I've operated inside all of them. An NDA is signed before we discuss any operational data.
Why not just hire someone in-house?
A senior cloud architect with AI and security depth costs $180K–$250K per year, plus 3–6 months to find and onboard, and another 3–6 months before they understand your business well enough to build something useful. Ofnex gives you 15 years of enterprise AI, cloud, and security expertise operational within days.
What happens to everything when the engagement ends?
Everything is yours. Code lives in your GitHub repository. Workflows are fully documented. Your team gets trained on how to operate and modify what we built. The goal isn't dependency — it's to leave your organization more capable than I found it.
I don't have an IT team — is this something I can actually use?
Yes — most of what we build is designed to run without an internal IT team behind it. Automations are documented in plain language, not engineer-only jargon, and a monthly retainer gets you ongoing support without needing to hire anyone. If something breaks, you call us — not a help desk you don't have.
Isn't enterprise-grade security overkill for a business my size?
Security matters more at smaller scale, not less — a breach or a badly-governed AI rollout can be existential for a small business in a way it usually isn't for a Fortune 500 one. The same Zero Trust discipline we bring to enterprise engagements is applied to a single automation just as rigorously as to a whole department.
I'm not ready to commit to a full audit — is there a lighter way to start?
Yes. Take the free AI Maturity Assessment on the Services page — 8 questions, no email required — or start with Secure AI Automation: one process, fully scoped and delivered in about a week, before you commit to anything larger.
How do you handle our data and access?
An NDA is signed before any operational data is discussed, work happens inside your own cloud environment, and client data is never used to train models. The details are on our Trust & security page.

Liked what you see? Let's talk.

Every engagement starts with a free 30-minute discovery call — no deck, no pitch. Or send a message and I'll get back to you by email.