Client Success Story
€65 Million Tetra Pak Facility Delivered On Time with Allex.ai
CLIENT
Rimas Damanskis
Company
Tetra Pak
project investment size
€65 million
role
Senior Investment Consultant (Plant Operations)
location
🇱🇻 Latvia (Lithuanian-owned investment)
industry
Food & Beverage Manufacturing
project SCOPE
Greenfield production facility with fully integrated Tetra Pak installation
Delivery Risk
€500,000 penalty per month for delay
From "Impossible" to On Time
"This was the biggest managed investment of my life. Very complex. Very risky. And it had to be on time."
Rimas Damanskis, Senior Investment Consultant
When Rimas Damanskis was brought in, the project was already under extreme pressure. Construction had to begin immediately, multiple contractors were working in parallel, and the Tetra Pak installation sequence dictated the entire build logic. Any delay would trigger contractual penalties of €500,000 per month. Many believed the timeline was unrealistic. Some strongly opposed the approach.
Rimas focused on what truly mattered: flow, priorities, and execution against the critical chain. That is where Allex.ai became essential.
Rimas focused on what truly mattered: flow, priorities, and execution against the critical chain. That is where Allex.ai became essential.
The Challenge:
Managing Reality, Not Percentages
Traditional project reporting suggested steady progress, but it masked real risk.
"You can be 70% complete in construction and still only 20% complete where it actually matters.
"The real objective was not overall completion. It was delivering a fully ready installation front for Tetra Pak machinery on a fixed date, while completing the rest of the facility in parallel.
"You can be 70% complete in construction and still only 20% complete where it actually matters.
"The real objective was not overall completion. It was delivering a fully ready installation front for Tetra Pak machinery on a fixed date, while completing the rest of the facility in parallel.
The Solution:
Critical Chain Execution with Allex.ai
Rimas combined critical chain thinking with Allex.ai to regain control of a highly complex environment:
Integrated schedules from six contractors
Identified true constraints and dependencies
Replaced optimistic reporting with early warning signals
Focused teams on readiness rather than appearance of progress
"For shared calendars and Gantt charts, we used LetBuild. For critical chain management and integrating all contractors - Allex was the tool."
Allex.ai provided clarity where conventional tools failed.
Allex.ai provided clarity where conventional tools failed.
The Result: Delivered On Time, Against Expectations
Construction started in September
After six months, half of the facility was completed and handed over for machinery installation
Construction and Tetra Pak installation progressed in parallel
Full construction and installation completed on time
€0 penalties incurred
Even the general contractor was surprised.
The owner of the general contractor said: "We could not believe we could deliver this on time."
The owner of the general contractor said: "We could not believe we could deliver this on time."

The Impact: From Project Rescue to CEO
Following the successful delivery and start-up, Rimas Damanskis was appointed CEO of the plant, leading operations from day one.
“Critical chain thinking — and Allex — created huge value. It is a great tool, and very well priced.” Rimas now actively recommends Allex.ai to organisations struggling with complex, high-risk project delivery.
“Critical chain thinking — and Allex — created huge value. It is a great tool, and very well priced.” Rimas now actively recommends Allex.ai to organisations struggling with complex, high-risk project delivery.
Why Allex.ai
Built for real-world complexity
Surfaces risk early — when action still matters
Aligns teams around true priorities
Enables on-time delivery under extreme pressure
Allex.ai doesn't just manage projects.
It enables outcomes others believe are impossible.
It enables outcomes others believe are impossible.








