AI Copilot for construction planning teams
Generate structured construction schedules from project documentation, with speed, precision and full control.
Trusted by Leaders
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Turning challenges into opportunities
Construction planning shouldn’t start with
weeks of manual, repetitive work
Hundreds of pages are reviewed manually
before a first schedule even exists
Planners waste too much time extracting
and structuring information
Initial schedules take weeks to prepare,
delaying bids and project kick-off
Templates are reused under time
pressure, increasing errors and rework
Transformative AI
A planning AI agent that builds your first schedule, tailored to your organization.
Miranda AI analyzes your project documentation and generates a structured, dependency-based schedule in minutes.
Reads your technical
documentation
documentation
Extracts constructive logic, sequencing and activities
Exports directly to
your planning tools
your planning tools
Trained on your
historical projects
historical projects
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Supported by
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In practice
From manual drafting to automated
initial planning
Generates a structured first
draft in minutes, not weeks
Eliminates hours of repetitive
manual work
Improves precision in activity
extraction and sequencing
Allows planners to focus on
validation and optimization
Scales planning capacity
without increasing headcount
Improves bid competitivenes
with structured schedules
How it works
How Miranda AI builds your first schedule
Document Upload
Upload technical specifications, drawings and project files.
Automated Structuring
Sequencing, dependencies and
tasks are extracted and organized.
tasks are extracted and organized.
First Schedule Generation
A draft is created, highlighting assumptions and gaps.
Review and Approval
Engineers validate details, adjust
and quickly approve the schedule.
and quickly approve the schedule.
How Miranda AI revolutionizes construction planning
Turn technical documentation into structured, reliable schedules.
Faster bidding and early
planning• Generates first schedules directly from project documentation.
• Teams move from review to planning in minutes, not weeks.
Scale planning capacity
• Junior planners work fatser and seniors focus on optimization.
• More projects move forward without increasing headcount.
Before and After
A new era of construction planning
Before Miranda AI
Each project, planning starts from scratch.
Teams spend weeks on documentation, senior planners get overloaded, and projects wait for the schedule to catch up.
With Miranda AI
Planning runs on automation, not manual drafting.
Planners review and refine instead of building from zero,
and planning moves at the pace the project demands.
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Isn’t this what a planning tools already do?
Traditional tools are not designed to automatically interpret documentation, extract activities and sequencing logic.
Traditional Planning
Miranda AI
The first schedule is built
manually, activity by activity.
manually, activity by activity.
The first schedule is created
automatically from your docs.
automatically from your docs.
Support editing and tracking but
the first draft takes weeks to draft.
the first draft takes weeks to draft.
Delivers a ready-to-review
schedule in minutes.
schedule in minutes.
The quality of the schedule
depends on the who is building it.
depends on the who is building it.
Applies consistent planning logic
across projects and teams.
across projects and teams.
Initial schedule drafting is a
hidden operational cost.
hidden operational cost.
Automation reduces drafting time,
rework and planning overhead.
rework and planning overhead.
Results
What changes when Miranda AI becomes part of your planning process
Faster schedule generation
Structured first drafts generated in minutes
from project documentation
from project documentation
More precision and consistency
Activities and dependencies generated using
structured planning logic
structured planning logic
Reduced planning bottlenecks
Senior planners focus on optimizing and reviewing
instead of repetitive schedule drafting
instead of repetitive schedule drafting
Scalable planning capacity
More bids and projects are handled without
increasing planning headcount
increasing planning headcount
Miranda AI in real projects
Crata AI selected by Madrid Innovation Lab at DesafIA Madrid
Chosen to automate construction planning and reduce manual workload in real projects.
Building Miranda AI with
Sacyr
Sacyr shares its perspective on the Miranda AI pilot and its potential impact on projects.
Inside Miranda AI: how the solution works
Technical architecture and implementation approach behind the AI planning pilot project.
Schedule a call with
our experts
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