Most companies do not have an AI awareness problem anymore. AI is already in the work. It is in the CRM, in customer success platforms, in support workflows, in analytics, in forecasting, in account planning, and in the daily execution of teams across the business.
That is real progress. Teams are using AI to draft faster, summarize faster, analyze faster, and remove friction from work that used to take too long. But from where I sit, that is not the same as business progress. A faster task does not automatically create a better customer experience, a cleaner handoff, a stronger renewal motion, or a more coordinated team.
That is the part leaders need to look at more honestly. The question is no longer whether people are using AI. The better question is whether AI is helping the organization move together. In too many companies, the answer is still no.
AI is creating speed at the task level while the system around the work stays fragmented. This is creating a new form of AI workflow fragmentation. A seller can draft outreach in seconds, but the handoff to customer success can still drop the context that mattered. Support can summarize an issue faster, but the product insight inside that issue may still never reach the team that needed it. Marketing can generate more content, but the account team can still be unclear on the real customer priority, the stakeholder map, and the next best action.
AI has spread across the business. Alignment has not.
The issue is no longer adoption, it’s AI orchestration
For the last two years, a lot of leadership conversations have centered on adoption. Who is using AI? Where are they using it? Which tools are in the stack? What productivity are we seeing? Those are fair questions, and they still matter. They are just not the questions that determine whether AI turns into better business outcomes.
Adoption is happening. The harder issue is what happens after the AI output exists.
In a Mural AI Pulse survey, 77.5% of respondents said they use AI for work daily or weekly, and 45.3% said it improved the speed of completing work. Only 14.5% said it improved clarity and alignment across stakeholders.
That last number is the one I would put in front of every leadership team. AI is doing what we asked it to do at the task level. It is making parts of the work faster. What it does not do on its own is create shared context, clean handoffs, better decisions, or coordinated execution across teams.
The question now is whether the organization has the AI operating model to turn more motion into better outcomes. Many companies already have enough AI to create more activity. What they need is a clearer way to connect that activity to decisions, ownership, customer outcomes, and execution.
Faster activity is not aligned execution
The easiest trap right now is confusing activity with progress. AI creates more output: more emails, more summaries, more notes, more research, more recommendations. In isolation, a lot of that output can be useful. But more activity does not mean teams are more aligned, decisions are clearer, or the customer experience is better.
The issue is rarely effort. Most teams are working hard. The issue is that hard work inside a fragmented system still creates fragmented outcomes.
You see this all the time in strategic account work. Sales has one view of the account. Customer success has another. Product has another. Leadership has a revenue view. Each view can be accurate, but if they never come together, the company is not operating from one customer reality.
In Mural research with strategic account sellers, 48% say account strategy and customer context are spread across too many tools, 44% say the biggest consequence of go-to-market misalignment is an inconsistent customer experience, and 36% say different teams unknowingly work the same account. Across functions, 85% report ongoing misalignment, and 89% say it hurts revenue.
I do not read those numbers as an internal workflow complaint. I read them as a customer trust problem.
Customers feel fragmentation. They feel it when they repeat themselves. They feel it when the AE, CSM, solution consultant, executive sponsor, and product team are not operating from the same context. They feel it when one team is selling the future while another team is still resolving yesterday’s issue.
In that environment, AI can make individual steps faster while the full customer experience still feels disconnected.
Best practices are not enough
This is where a lot of companies get stuck. Every function can be running its own best practices. Sales can have a strong methodology. Customer success can have health scores and adoption motions. Marketing can have segmentation and intent data. Product can have feedback channels and roadmap inputs.
All of that can be true, and the customer can still experience the company as disjointed.
Functional best practices do not automatically create cross-functional alignment or execution. The handoffs matter. Shared context matters. Decision rights matter. Where the work lives matters. How teams build on each other’s work matters. If those pieces are unclear, every function can perform well in its own lane while the overall customer motion still breaks down.
That is the operating model work most companies still have not fully done. AI does not make that work optional. It makes it more urgent, because speed without shared context creates more noise, worse decisions, and more motion in separate lanes.
The gap between vendor and partner is alignment
Buyers do not want more vendors. They want partners who understand their business, their constraints, and their definition of success.
That is hard to deliver when your own teams are not aligned. A trusted partner does not show up with five disconnected conversations. A trusted partner does not make the customer re-explain the same context in every meeting. A trusted partner does not bring a solution that was shaped internally without enough customer input.
The difference between vendor behavior and partner behavior is not relationship warmth. It is execution quality.
Can the team see the same customer reality? Can they align on the real business problem? Can they bring the customer into the work early enough to shape the path? Can they execute from one shared view instead of running the account through static documents, private notes, meetings, and memory?
This is especially clear in complex, multi-threaded deals. Mural research showed alignment breaks down most in exactly the places that matter most: managing complex deals with multiple stakeholders, aligning on account strategy, and coordinating customer outreach across teams.
That is where partnership either becomes real or stays theoretical.
What is missing is a shared way to run the work
Most organizations are not short on systems. They have CRM, customer success platforms, support tools, project trackers, analytics, and AI embedded in more places every quarter.
The problem is not a shortage of places to store information. It is the absence of a shared way to run the work.
A system of record stores data. A coordination layer is where teams use that data to make decisions, assign ownership, and move work forward. That distinction matters. The goal is not another place for information to sit. The goal is a working environment where the right people can see the same customer reality, understand the dependencies, make decisions in context, and leave with clear ownership.
This is where visual collaboration becomes more than a canvas or a workshop. It becomes a practical way for teams to coordinate real work. The value is not the whiteboard. The value is that a cross-functional team can see the customer situation together, understand what matters, make the right tradeoffs, and move forward with clearer ownership.
AI can surface insight, summarize data, and find patterns. But insight alone does not create alignment. Teams still need a place to pressure-test the output, apply judgment, make decisions, and decide what happens next. In most organizations, that is the missing layer: not more intelligence, but more coordinated execution.
Collaborative selling is the next move
For revenue teams, this comes down to how we sell, support, and grow customers.
The next move is collaborative selling, and I do not mean that as a slogan. I mean it operationally.
It starts with a shared customer reality. Most teams are not misaligned because they do not care. They are misaligned because every function sees a different version of the customer. Sales sees pipeline and deal motion. Customer success sees adoption, risk, and expansion. Product sees needs and feedback. Leadership sees revenue and growth.
Those views should not compete with each other. They should inform each other. Without one shared view, those differences turn into conflicting priorities, inconsistent messaging, and a fragmented customer experience.
It also means building with customers, not for them. Too many teams shape the plan internally and bring the customer in after the solution is already mostly formed. That creates weaker differentiation, late friction, and less customer ownership. When customers are brought into the work earlier, the dynamic changes. Assumptions get tested sooner, objections surface earlier, and customers see their fingerprints in the path forward. The conversation shifts from selling to solving.
And it requires shared execution. Even aligned teams break down when execution lives across decks, meeting notes, inboxes, Slack threads, and individual memory. Plans scatter. Ownership blurs. Decisions get reconstructed after the fact. Coordination becomes meeting-dependent.
The better model is a persistent shared workspace for account execution, where customer goals, stakeholder maps, open questions, decisions, owners, next steps, risks, and dependencies stay visible to the people doing the work. That is how teams move from quota chasing to trusted partnership. Not through a better tagline. Through a better operating model.
What leaders should do next
If you are trying to close the gap between AI investment and business outcomes, I would not start by asking whether teams are using enough AI. I would start by asking whether the work is getting more coordinated.
Look first for the places where AI is creating more output without improving execution. Where are tasks getting faster, but handoffs, decisions, and customer outcomes are not improving? That is usually where the real operating issue is hiding.
Then map where context gets lost across the customer journey. Pay close attention to the transitions between sales, customer success, support, product, and leadership. Those are the moments where trust is either built or lost.
From there, define the shared account workflow. Be explicit about how strategy moves into execution, who owns what, where decisions get made, and how teams build on each other’s work instead of recreating it.
Centralize the working context, not just the data. Teams need a live view of customer goals, stakeholder dynamics, risks, decisions, next steps, and ownership.
Measure alignment, not only productivity. Faster handoffs, less rework, clearer decision visibility, fewer duplicate customer touches, and stronger renewal transitions are better signals of whether the system is actually improving.
None of this asks leaders to slow the business down. The right coordination layer does the opposite. It lets teams move faster because they are not constantly hunting for context, rebuilding alignment, or rediscovering decisions that were already made.
The system is the strategy
AI will keep making work faster. That part is inevitable. But it will not make fragmented teams coherent on its own.
If the operating model is unclear, AI scales the confusion. If customer context is scattered, AI creates more places for it to scatter. If ownership is blurry, AI creates more activity without more accountability.
The companies that win this next phase will not be the ones with the most AI tools. They will be the ones that combine organizational intelligence with coordination, speed with clarity, and automation with alignment.
That is how AI moves from individual productivity to business outcomes.
The system is the strategy. And in the end, aligned teams win.
