ALICE Technologies, the creator of the world’s first generative scheduling platform, today announced the launch of Insights Agent, a new feature designed to make construction schedules easier to understand, analyze, and act upon.

Schedules are among the most powerful levers on a construction project, shaping cost, risk, and delivery timelines. Yet even with advanced scheduling platforms like ALICE, unlocking meaningful insights can require significant manual effort. Teams often export data into spreadsheets, validate logic changes manually, and create narrative explanations for stakeholders. This process consumes valuable time, reduces transparency, and makes it difficult to clearly explain not just what has changed, but why.

Insights Agent was developed to address these challenges.

By embedding conversational intelligence directly into the ALICE platform, the feature enables users to interrogate schedules, understand differences between plans, and uncover optimization opportunities — with clear explanations that make decisions easier to validate and communicate.

Powered by the latest generative AI models, Insights Agent is built as a conversational interface in the ALICE platform. Users can directly “chat” with their schedule, asking questions in plain language and receiving context-rich answers in seconds, all without the need for complex filters or manual analysis. The agent also supports multilingual interaction, enabling users to ask questions and receive answers in their preferred language.

Users can explore a wide range of topics to get insights and recommendations by asking questions. Here are a few examples:

Critical path analysis

• What are the longest tasks on the critical path?
• Which labor resource is most critical?

Project metrics and constraints

• Which constraints have an impact on the project?
• What changes have been made to milestone end dates?
• What is the total cost breakdown by crew?

Risk exposure and analysis 

• Which activities carry the highest risk of delay?
• What tasks are most likely to impact the overall project duration if they slip?

Task relationships and dependencies 

• What is the driving path of this task?
• Which tasks are linked via finish-to-start or start-to-start logic?

Optimization opportunities 

• Which crew should I optimize to shorten the project?
• How can I optimize this schedule for a faster duration?

By surfacing both explanations and “sources” behind its reasoning, the Agent builds confidence in the answers it generates. Teams can understand not only what has changed in a schedule, but also the logic that led ALICE to recommend certain optimizations. 

“We built Insights Agent to make schedule intelligence more accessible,” said René Morkos, Founder and CEO of ALICE Technologies. “Our goal is not just to create optimized construction plans, but to make those plans understandable and actionable for every stakeholder across the entire project lifecycle.”

Since its initial launch with beta users, the feature has seen strong adoption across customer projects, with users consistently highlighting its accuracy, transparency, and the value it provides.

Innovation in Action with Suffolk Construction

One company at the forefront of applying and adopting Insights Agent is Suffolk Construction, a leading construction company known for its innovation-first mindset. The company partnered with ALICE to adopt AI-driven schedule intelligence that can elevate the way its teams plan, analyze, and communicate on complex projects, delivering greater impact on critical asset delivery.

“ALICE’s Schedule Insights Agent brings a new level of planning and scheduling sophistication,” said John McKernan, Suffolk’s VP of Operations. “Its ability to generate intelligent analysis and reports goes beyond documenting changes. The agent helps identify opportunities and shape strategic conversations with stakeholders. This kind of intelligence positions us to deliver advanced services and greater value to our customers on their projects.”

With Insights Agent, Suffolk has transformed monthly workflows — from schedule updates and reporting to risk analysis and forecasting — into a data-driven process that strengthens collaboration and improves decision-making. 

The technology enables the team to focus on strategy, track variances more effectively, and optimize productivity. Beyond its operational benefits, it also delivers measurable business impact by making asset delivery more predictable and efficient.

“Insights Agent is a powerful enhancement to the ALICE platform. It delivers real tactical value to our teams by helping us surface optimizations, validate opportunities, and clearly communicate schedule updates and reasoning with stakeholders,” added Dawn Polley, Director of Scheduling on a leading industrial project for Suffolk.

Expanding the Platform with AI Enhancements

In addition to Insights Agent, ALICE also offers an AI-driven schedule comparison report feature that can automatically generate a comprehensive analysis of the difference between two schedules. The report highlights changes in project metrics, optimization insights, critical path shifts and milestone impacts, helping users understand not only what has changed but also how ALICE’s optimizations improved the schedule.

Earlier this year, the company introduced ALICE Plan, a 2D visual planning solution that allows users to automatically overlay construction schedules on project drawings for clearer, more contextual planning. With the addition of Insights Agent, ALICE continues to expand its platform with tools that make construction planning more intuitive, easy to use, and data-driven.

These latest enhancements improve how users interact with their schedules, enabling them to surface changes, compare scenarios, ask targeted questions, extract insights, and optimize visually all within one platform.

By continuously innovating and unifying capabilities in an intuitive experience, ALICE is committed to helping teams boost productivity, improve collaboration, and drive operational efficiency. 

Insights Agent is now available within the ALICE platform. Request a demo here.