Save More with Predictive Risk Insights
Change orders have always been part of construction.
What’s changed is how often they happen, how long they linger, and how much margin they quietly destroy.
According to the 2025 Clearstory General Contractor Change Order Report, nearly 9 out of 10 general contractors say change orders are more frequent today than they were five years ago. More concerning, over 20% of projects experience direct fee erosion tied to change mismanagement, and 63% report legal disputes stemming from change orders. Projects face and incredible increase in cost risk each year.
This isn’t a paperwork problem.
It’s a visibility problem. Predictive risk insights make the cost savings clear by giving construction companies the information they need now, before it impacts the ROI of a project.
20% of projects experience direct fee erosion tied to change mismanagement, and 63% report legal disputes stemming from change orders.
2025 Clearstory general contractor change order report
Construction Data is Disconnected
Most contractors have invested heavily in modern platforms like Autodesk Construction Cloud, Viewpoint Vista, Procore, and CMiC. The hard part about having these large systems that are the standard in the industry is that they lack predictive risk insights by gathering project data in disconnected systems that don’t talk to one another.
Despite having more options for digital data, it isn’t enough for construction to avoid project risk. Without predictive insights, they are still stuck in a reactive cycle of rework, delays, and project cost overrun.
- 91% of general contractors still rely on spreadsheets to track financials
- 83% maintain side spreadsheets specifically for change orders
- 66% say subcontractor change logs are out of sync with internal systems
This isn’t resistance to technology, it’s critical data fragmentation. When you miss projected costs on a project budget, its not a small problem. These are problems that are costing the construction industry millions of dollars on each project. That kind of cost risk should not be ignored.
91% of general contractors still rely on spreadsheets to track financials
CMiC – Jan 24, 2026
The reality is the construction project information doesn’t live in one system. It lives in several systems all designed with a specific, yet separate purpose:
- Project management platforms
- Scheduling tools
- ERP systems
- Emails and spreadsheets
- SharePoint folders
- Field notes and attachments
When information lives everywhere, functionally, it lives nowhere. Data is overlooked and there is no way to catch a small change that came in an email last week to predict a delay on an order you have in your project management software.
That fragmentation is why forecasts turn into guesses, billing slows, and closeout drags on. In fact, 64.5% of contractors say change orders significantly delay closeout, and 92% report delays of 1 to 12 months.
This isn’t just simple inefficiency, it’s capital trapped by disconnected insight and its costing not only the ROI but leaving projects riddled with risk and delays.
Where Construction Cost Risk Actually Hides
One statistic reframes the entire conversation:
90% of change order risk originates outside financial systems.
- 55% of fee erosion comes from field-directed work tracked through T&M tickets
- 35% comes from unsolicited changes initiated in the field
- Only 10% comes from formally solicited changes
In other words, most cost risk emerges long before it reaches an ERP or cost report. It lives upstream in schedules, RFIs, submittals, coordination gaps, emails, and handoffs between teams. By the time that risk shows up in a forecast, the financial outcome is already locked in. This is exactly where predictive construction cost risk insights create a competitive advantage. By leveraging a strategy that is proactive instead of reacting to things as they happen in real time, your teams get he knowledge ahead of time. Plan ahead by avoiding the same mistake that happened in the past. AI-powered systems utilize predictive construction project insights from analyzing historical projects in your portfolio. By connecting systems, they can then cross reference data in real time. That email that was going to hint at a delay? Predictive insights have already alerted the team and made another plan to mitigate that delay and keep the project on track.
Why “Lessons Learned” Rarely Protect Future Projects
Most firms document lessons learned. Very few operationalize them. The retrospectives that happen after every project? Oh, you do those. But do you, really?
Typically:
- Lessons are stored in closeout binders
- They are unstructured
- Historical project data is disconnected from future planning
Meanwhile, the same root causes repeat:
- Design errors or omissions (56%)
- Design changes (51.5%)
- Unforeseen conditions (48%)
- Trade damage and owner-driven changes (46–48%)
History is bound to repeat itself if it is not observed and actions put into place to change patterns that cause project delays. By leveraging a system that connects data, analyzes historical project activities, and links live communications, construction leaders can have a more clear vision of how to execute a project and avoid project risk.
The Real Gap: Intelligence That Moves Across Systems
The construction industry doesn’t have a data problem. It has a pattern recognition problem across disconnected systems. Many workflow management platforms are embedding AI but most are limited to their own ecosystems with cute little agents that automate simple processes. These tools help with:
- Workflow automation
- Task efficiency
- Reporting improvements
But the biggest risks don’t live inside a single platform. To truly address predictive construction cost risk, AI must:
- Move across all systems
- Understand construction context
- Connect schedule, cost, and historical patterns
- Identify repeat risk behaviors across projects
This is where construction-specific AI like the solutions developed by Slate Technologies changes the game. General AI can summarize data. Construction AI understands why a delayed submittal tied to a scheduled activity creates downstream cost exposure. That’s how companies move from reactive reporting to proactive risk prevention.
Small Improvements, Massive Financial Impact
On a $500M capital program, just a 1–2% reduction in change-driven cost equals $5M–$10M in savings.
1–2% reduction in change-driven cost equals $5M–$10M in savings
read that again.
Now that we have your attention, consider that:
- Over 75% of projects experience overruns
- Two-thirds cite change as a primary driver
- Teams spend 10–15 hours per week managing change orders
The ROI of predictive insight isn’t theoretical. It’s already sitting in your P&L. Are you letting cost savings on your projects slip that easily?
The Future of Construction Belongs to Predictive Leaders
The industry is at a crossroads. We don’t need more tools to manage our spreadsheets, we need to surface risk early. Construction leaders can connect historical data to active projects to learn from the past and prevent repeat mistakes. Proactive strategies that utilize data instead of letting it sit can prevent cost risks on projects.
The firms that win won’t be the ones processing change orders faster. They’ll be the ones preventing them from becoming financial problems in the first place. Change orders aren’t random. They’re predictable outcomes of repeat behavior. The data already exists. What’s been missing is intelligence that can connect it and act on it in time.
Do you support the construction industry with technology consulting or other services? Partner with slate to increase the capacity to deliver value with AI-powered technology. Talk to our partnership team, submit a request to be a Slate partner.