June 10, 2026
6 min read
We’ve spent a lot of posts making the same argument: the tool was never the problem. Your architecture is. Your strategy is. Your data is.
But “fix your foundation” is hard to act on when nobody’s told you which part of the foundation is cracked.
So here are the six places we typically see our clients have the issues. You’ll may recognize some. Most companies recognize three or four, and that’s completely normal. Then, if you want a real read on which one is hurting you most, there’s a five-minute assessment at the bottom that scores you across all six.
This is where it usually starts. A new contact comes in and just sits there. Not enriched, not routed, not assigned. Duplicates pile up quietly until a report double-counts something and somebody notices. The data is good enough to operate on day to day, but not good enough that anyone fully trusts it.
If your team double-checks the CRM against a spreadsheet before an important meeting, your data quality is doing less work than you think it is.
It’s okay. This is the most common starting point we see, and it’s also the most fixable.
Your stages exist. They’re in the CRM. But ask three reps what “Qualified” means and you’ll get three answers. Deals go dark and nobody finds out until the forecast meeting gets uncomfortable. The pipeline is technically a system, but in practice it’s a list that everyone interprets a little differently.
Most companies don’t have the second thing. They have the first thing and are wondering why it isn’t transformative like they were promised during the procurement cycle. In this case the integration platform isn’t just another expense item on the budget sheet, it’s the connective tissue between your entire GTM stack.
When your forecast conversations feel like a negotiation about what’s real rather than a review of what’s true, your stages aren’t doing their job.
This one isn’t a tooling problem. It’s a definition and enforcement problem, and it’s solvable without buying anything. You probably have the tool to fix it, just add in the strategy and governance.
When your executive team asks for the numbers, what happens? If the answer is “someone runs a report and then works on it in a spreadsheet,” you have a visibility gap. The most dangerous version of this is when leadership quietly stops trusting the CRM and the teams supporting them have to maintain a secondary process to massage the data. Once that happens, the system becomes a data-entry chore instead of a decision engine.
If a caveat is needed after every number in these discussions the fix isn’t a better dashboard. It’s cleaner data underneath the dashboard, which is why this one is connected to number one.
Some of the obvious stuff is automated. But the edges still run on Slack messages and someone remembering to do the thing. The handoffs between sales and delivery, finance and ops, the exceptions, anything that crosses a system boundary. Every one of those manual steps is a future error and a tax on your team’s time.
When a key person is out, things fall through the cracks. That means the workflow lives in their head, not in your systems and that tribal knowledge slowly leads to drift.
This is a design problem more than a technology one, and it’s where ruthless automation pays off fastest.
Who owns your CRM? If the honest answer is more than one person or you don’t know, it’s a major issue. Without a clear owner and an active roadmap, every improvement you make is one personnel change away from quietly reverting. Initiatives start at the top, lose momentum somewhere between the leadership meeting and reality, and never quite land.
If your team doesn’t know who controls the systems they use, they will make their own to meet their needs. This is the least glamorous of the six and arguably the most important. It’s what makes every other fix stick.
This is the one everyone’s thinking about and the one almost nobody is ready for. AI learns from YOUR data and automates YOUR processes, which means it inherits whatever you give it. If the first five areas above are shaky, AI doesn’t fix them but tt accelerate them. You get faster chaos, at greater scale, with more confidence than the situation warrants. Exactly what you paid for, right?
If you’d be nervous to let an AI tool loose on your GTM data tomorrow, that instinct is correct, and it’s telling you something about the five areas above.
The companies that win with AI aren’t the ones who bought it first. They’re the ones who fixed the foundation first.
When AI suggests a wrong answer, a human reviews it and overrides. When AI takes a wrong action, that action has to be unwound. When AI takes a thousand wrong actions because the underlying data was inconsistent, you have a remediation project that can take quarters to clean up.
Almost every company we work with is strong in a couple of areas and quietly bleeding in a couple of others. The problem is they can’t always tell which is which, or which one to fix first.
That’s what the assessment is for. Fifteen questions, five minutes, scored across all six of these areas. You see your results immediately. No waiting on an email, no call required to find out how you did. It’ll show you your single biggest gap, what it’s costing you, and a full breakdown you can bring to your team.
The MIT findings validate something I’ve been arguing for years: the companies that win aren’t the ones with the best tools or the largest budgets. They’re the ones who took the time to build the foundation. The unglamorous, definitional, boring work of getting your data, your integration architecture, and your governance in shape.
It’s honest, and it might sting a little but that’s the point. An accurate read is the only kind you can actually act on.
And if the score isn’t what you hoped? That’s okay. We’ve seen it. We know exactly what it looks like, and we know the way out.
Find out which of the six is hurting you most. Then let’s fix it.