As Head of Sales, I spend a lot of time trying to understand the quality of revenue across the business.
I lead several teams at Maxio, including BDRs, solution engineers, new business, account management, CSMs, and sales ops and enablement; which shapes the questions I care about most day to day. Where are renewals at risk? Where is contraction starting to show up? Which segments are performing well? What is actually driving expansion? And once I see something, how do I get it into the hands of my team quickly enough to do something about it?
The hard part isn’t asking these questions. It is getting to the answer fast enough to do something useful with it. Historically, that has meant pulling information from different places, waiting on a report, or working from a dashboard that gave me the high-level view but not the detail I needed to act.
That is why I have found Claude and Maxio MCP so useful in my role. I want the information at my fingertips, and once I find something useful, I want to turn it into a repeatable operating motion.
What is Maxio MCP?
MCP stands for Model Context Protocol. It is the standard that lets an AI client connect to a business system and work from live context instead of only whatever gets pasted into a prompt. Maxio MCP is Maxio’s implementation of that standard. It is the connector that lets me use Claude to work with Maxio data, reports, and customer signals in a much more flexible way.
For me, Maxio MCP is most useful when I want to understand the business faster and then get more specific.
The workflows I come back to most are understanding revenue quality, narrowing into renewals at risk, getting clearer on which accounts need attention, and looking at expansion so I can see where the business is growing and where I need to get involved.
Workflow 1: Starting with revenue quality
One of the things that makes this workflow useful is that I am not starting from a blank prompt every time.
I start from a saved Maxio briefing skill instead of building a dashboard from scratch. When I run it, I select the CRO performance role and let it pull the Maxio reports tied to that workflow. That takes almost no time, and it gets me to a usable dashboard very quickly.
I do not want to spend my time rebuilding the same workflow over and over. If I know I care about revenue quality, churn and contraction risk, renewals, and expansion, I want those reports and that logic packaged up so I can get to the next question quickly.
What makes this especially useful for sales is that I am using the skill as a launch point, not an end state. I am starting from the existing business dashboard and then narrowing it into something I can use to run the sales organization.
Workflow 2: Narrowing into renewals at risk
The first thing I look at is the quality of revenue across the business.
Once the skill runs, it pulls in the relevant Maxio reports and gives me a dashboard with the top-level metrics I care about. ARR. Net new for the most recent closed month. Expansion. NRR. Renewal trends. Quick ratio. All of that was right there.
What I like is that I can get the executive view in a few seconds. I do not have to sit in Excel and piece together the pattern. I can see the ARR trend, the waterfall, and the movement over time right away.
One of the things I look for is whether the topline growth story holds up when I look a level deeper. In the above video example, the business is growing, but there is also leakage out the back door. That is exactly the kind of signal I want to catch quickly because it tells me there is something I need to dig into.
From there, the next thing I want is the operating detail. I follow up with a simple prompt to look at contraction by segment, renewals at risk, timing of renewals, and renewals by account manager. I do not overcomplicate it. I ask the next obvious question.
That creates an operational drill-down tab in the dashboard.
This is where it gets much more useful for me as a sales leader. I can see renewable ARR coming up, how much of it is high risk, how that risk is distributed across the quarter, and which segments are behaving differently. In the example I walk through, there is a large April renewal bucket with a high-risk concentration, and I want to get my arms around it immediately. I am not just looking at a dashboard. I am thinking about where I need to get involved and what I need to bring to my team.
That is the point where it stops being just a dashboard and starts becoming something I can use to drive the business with my team.
Workflow 3: Making the risk model more useful
One of the things I like most about working this way is that I can keep refining the analysis.
That leads to the next question. I look at the initial risk model and decide it is not quite giving me what I want. I want to understand which signals are actually most useful. So I ask it to make the model smarter by looking at things like cancellation requests, past due invoices, and decreased usage. I want to get past a health score I do not fully understand and narrow the model to the signals I actually want to manage against.
This is where it gets more practical for me. I am not just accepting the first dashboard as final. I am shaping it around what I actually want to manage. In this case, I want a cleaner triage view of risk. Which accounts have a cancellation request? Which have declining usage? Which are past due? Which of those signals matter most for the way I want my team to work the book?
Once I narrow that down, the dashboard updates and gives me a much more actionable risk triage view.
Workflow 4: Looking at expansion, not just downside
Maxio MCP is not just useful for spotting risk. It is useful for understanding opportunities.
Another important workflow involves expansion analysis. I want to understand whether growth is coming from renewal uplift, true expansion, or specific modules and revenue streams that are performing well. That dashboard breaks expansion down into categories like usage-based fees, base platform uplift, payment processing revenue, add-on modules, and managed service, then shows where growth is compounding and where it is not.
This is valuable because it helps me think about more than pipeline and renewal pressure. It helps me think about how we educate customers, where we have product momentum, where we may need better enablement, and where I need to partner with marketing or product to unlock more growth. That gives me something useful to take back to the team, not just something interesting to look at.
Workflow 5: Adding context so I know where to get involved and turning it into a team operating rhythm
Once I know which accounts need attention, I want more context. I also add other sources like Gong through BigQuery so I can look at customer sentiment, recent call context, who the champions are, and where I might need to get involved. I could not show that live in the demo because that would have pulled actual customer data, but it is a big part of how I think about this workflow.
When I know which accounts are at risk, I want the surrounding context. What is the tone of recent conversations? What has changed? Where can I actually help?
That is what makes this useful for me as a sales leader. It does not stop at reporting. It helps me move from signal to action. A big part of the value here is not just that I can build or refine a dashboard once. Once I have something useful, I can save it, share it, and run it again.
I update the skill based on the new dashboard logic, save that skill, and then share it so other people in the organization can use the same structure instead of recreating the wheel. I also like that skills can be shared inside the Maxio Claude instance (like the briefing skill I mentioned earlier), so other leaders can start from the same structure and then manipulate the data differently for their own needs. From there, I can schedule it.
That is where this starts to feel like an operating rhythm instead of a one-off exercise. I can have it refresh on a cadence, send me the updated dashboard, and even draft a Slack message or email so I can quickly align my team on what changed and where I want us to focus. I do exactly that by having Claude draft a Slack message to my management team and by using scheduled runs to keep the information in front of me without manually rebuilding it.
Prompting, iteration, and practical use
One of the most practical things I’ve learned is that you don’t need a perfect prompt to get value.
I usually start with the obvious next question. Then I narrow it down. Then I keep shaping the output until it reflects how I actually want to run the business.
Sometimes that means refining the dashboard. Other times it means changing the signals I care about. It may even mean turning the output into a Slack message for my management team. The point is that the workflow does not stop at analysis.
Why Maxio MCP changes how I work as Head of Sales
The bigger shift is not that AI gives me a prettier dashboard.
It is that I can get closer to the data faster and ask more follow-up questions without turning every one of them into a separate lift for someone else.
I can look at revenue quality, renewal pressure, contraction, and expansion in one workflow. I can narrow from the executive view into the operational view. I can identify where I need to get involved. And I can turn that into a repeatable process for myself and my team. It is about the sales operating motion and how quickly I can go from seeing risk to doing something about it.
It does not replace judgment or the work my leaders are doing. What it does is help me come into those conversations with sharper questions, better context, and a clearer point of view.
So where would I start?
Start simple with one question you care about. For me, that starts with understanding the quality of revenue across the business, then narrowing into renewals at risk, contraction by segment, and expansion by product or category.
Set up the connector. Start with one saved workflow or one good Maxio report. Ask the next obvious question. Refine the output until it becomes useful. Save it if you are going to reuse it. Then schedule it if you want it in front of you regularly.
That is where the value starts.
It reflects a bigger shift in how I believe sales leaders can work: get closer to the data, spot what matters sooner, and move faster from signal to action.
I recently covered this in my session of our executive webinar series, AI in the C-Suite: How Maxio Leaders Make Faster Decisions with MCP, and the on-demand recording goes deeper into how I put these workflows into practice. If you want to understand how Maxio can support that kind of operating rhythm, get a Maxio MCP demo.
