Mid-market professional-services firms activate barely a third of the Copilot seats they pay for. I find the wasted spend, automate the busywork Copilot can't reach, and turn it into recoverable billable time, usually starting in a single week.
The license is the easy part. Six months in, most rollouts plateau: usage stalls around a third of seats, the wins are anecdotal, and finance starts asking what the spend returned before the next renewal. That question is the reason this work exists, and it's a measurement problem, not a training problem.
Illustrative: a 200-seat firm with roughly 64% of its seats idle is paying for about 128 licenses that return nothing. At about $40 per seat per month, that's around CA$60,000 a year. Your number scales with your seat count.
I come from 15+ years running QA governance and delivery on enterprise integration programs. That means baselines, quality gates, and metrics that hold up in front of an executive committee. I point that same rigor at your Copilot investment.
Interpret your actual usage telemetry from the admin center. Identify dormant seats, the roles where Copilot pays off, and the high-value workflows worth fixing. Set a baseline finance will accept before we change anything.
Rebuild the two to four workflows that matter: proposal and RFP generation, document review, client onboarding, CRM and data reconciliation. Role-specific Copilot use, Copilot Studio agents, and Python / n8n automation for the gaps Copilot can't reach. Adoption follows utility, not another training deck.
Re-measure against the baseline and hand you a one-page ROI scorecard for the renewal conversation. Then keep the number moving with ongoing optimization as Microsoft ships new capability.
Senior delivery without the big-firm price tag or the twenty-week timeline. Every engagement is fixed-scope and outcome-anchored.
A fast, low-risk read on whether your Copilot spend is paying off, and a number you can take into the renewal meeting.
Take the workflows the audit flagged and make them real, turning admin drag into recoverable billable time. This is the layer the trainers and no-code shops don't build.
Keep the ROI number climbing and the renewal defensible, month over month.
Turn one or two of your own people into agent-builders who sustain adoption long after the engagement ends.
For the past 15+ years, I’ve led QA and delivery for major enterprise integration programs. Most recently, as a QA and Delivery Manager at PwC, my work centered on owning comprehensive test strategies, directing both onshore and offshore teams, and managing release sign-offs with executive committees. If there is a recurring theme in my career, it is a strict focus on measurement and governance.
Alongside my enterprise background, I am a hands-on AI practitioner. I don’t just advise on AI strategy; I build with it every day. I currently have three custom agents live in the GPT Store, I actively run chained automation workflows in n8n, and I have developed my own AI-powered automation software for QA. I’m not the kind of consultant who simply reads the latest briefings on Copilot. I am the one actually building and deploying the tools.
That intersection of enterprise discipline and practical AI development is exactly what I bring to the table. AI initiatives often fail to deliver a true ROI because they lack proper integration and measurement. Because I build the automations myself and deploy them directly into your existing cloud infrastructure, I can ensure that the technology is practically wired into how your teams actually work.
Access isn't adoption. Most rollouts stall because Copilot was switched on without role-specific workflows, a usage baseline, or a way to measure value, so usage plateaus around a third of licensed seats. It's a measurement and integration gap, not a tool problem.
I analyze your actual usage and set a baseline across key workflows before anything changes, then re-measure time saved and output after integration, and report a defensible number finance can take into the renewal conversation.
Large partners and certified trainers focus on enterprise change management. Zera is built for mid-market professional-services firms: senior, fixed-scope, and focused on integrating Copilot into real workflows (Copilot Studio, Python, n8n) and proving the ROI in recoverable billable time, without the big-firm price tag or twenty-week timeline.
The ROI Audit takes about a week and gives you a scorecard and a prioritized roadmap. Workflow integration sprints run four to eight weeks. Most engagements start within days of an initial call.
Yes. Based in Vancouver, BC, working with mid-market companies across Canada and remotely.
Most rollouts stall because the licenses were switched on without role-specific workflows, a usage baseline, or a way to measure value. Industry data shows only about 36% of licensed users actively use Copilot, so roughly two-thirds of paid seats sit idle. It's an integration and measurement problem, not a tool problem.
Adoption follows utility, not training. The fastest way to lift usage is to rebuild the two or three workflows people touch every day around Copilot, so it becomes the path of least resistance, then measure the change. A generic prompt-engineering webinar rarely moves sustained usage.
It can be, because the work is billable time and Copilot plus targeted automation can cut hours from proposals, document review, and data reconciliation. The catch: value only shows up when Copilot is integrated into those specific workflows and the result is measured. Idle licenses return nothing.
A 30-minute call to see whether your rollout is in the dormant-seat bucket, and whether a one-week audit is worth it. No deck, no pitch.
Book a 30-minute call →Send a short message about your Copilot rollout and I'll reply within one business day. No obligation, no sales sequence.
Prefer email? hello@gozera.ai