A clear view of your AI readiness
An AI readiness assessment shows where AI can add value in your project controls today, and what to fix first.
AI Advisory and Transformation
We help owners, contractors and EPC organisations identify where AI adds value across planning, scheduling and reporting – and adopt the right technologies without disrupting live projects.
Led by experienced project controls practitioners. AI accelerates the analysis; your team retains control of the decisions.
Why experience matters
AI adoption is moving quickly, but successful implementation takes more than technology. It takes an understanding of how construction projects are planned, scheduled and controlled.
years on live capital projects
Our planners, schedulers and cost specialists have delivered and defended programmes on live capital projects. We’ve implemented and supported enterprise project systems, giving us first-hand insight into where schedules fail, reporting slows and decisions lack reliable data.
We apply AI where it adds value, address data gaps first, and keep critical project decisions in the hands of experienced practitioners.
construction professionals now use AI in some part of their work, up from just over half a year earlier.
use AI regularly in specific construction processes. Pilots are still the most common stage.
have integrated AI across their whole organisation. Skills are the top barrier in construction.
What we do
From the first question to AI running on live projects, built around your requirements, not a product.
An AI readiness assessment shows where AI can add value in your project controls today, and what to fix first.
An AI strategy and phased roadmap, with a business case for every priority use case.
AI tools compared against your requirements, so you choose on fit, not demos.
Tools connected to where your project data already lives, and proven on a live project before rollout.
Stronger project controls workflows underneath, so AI speeds up good practice rather than bad.
Role-based training so your people use AI with confidence and know when to challenge it.
Use cases
AI in construction project management works best on tasks that are repetitive, data-heavy and checked by an expert. These are the use cases we see delivering value first.
Drafts a first-pass programme from scope documents and past projects.
Planners review logic, durations and sequencing before anything is baselined.
Flags missing logic, open ends, constraints and float issues across the whole programme.
Schedulers decide which findings matter and fix them.
Compares submitted programmes against contract requirements and previous revisions.
Reviewers own the accept, reject or comment decision.
Pulls dates, quantities and obligations from contracts, RFIs and correspondence.
Project teams confirm what goes into the record.
Assembles progress, cost and variance data into monthly reports.
Project controls leads write the narrative and sign off.
Spots trends in schedule and cost data earlier than a manual review.
Project directors decide what action to take.
Why Compass Consult
We are a specialist project-controls consultancy. Technology is considered in the context of the programme, the controls model and the people accountable for delivery.
We know how programmes are built, updated, reviewed and disputed. That tells us where construction AI can help and where it creates risk.
We implement and support enterprise project management systems, so we know how AI has to connect to the tools your data already lives in.
We have built AI for planning, scheduling and project controls ourselves. That experience informs every recommendation we make, including when to choose another product.
Built, not borrowed
ConstructMind AI is backed and built by Compass Consult. The same team that develops the platform brings that hands-on experience to our advisory work: what it takes to apply AI to real schedules, real data and real project teams. Our advice stays technology-independent. ConstructMind is one option we evaluate, never a default.
FAQs
The most mature uses are in planning, scheduling, document review and reporting: tasks with lots of structured data and a clear expert check. Examples include drafting first-pass programmes, checking schedule quality, extracting obligations from contracts and assembling monthly reports. Design optioneering and site monitoring are growing too.
It shifts effort from assembling and checking information to reviewing and deciding. Routine analysis, such as schedule checks and report assembly, is done faster and more consistently, so your project controls team can spend more time on judgement, risk and advice to the project.
No. AI accelerates the analysis, but programmes still need people who understand logic, sequencing, contracts and site reality. In our approach AI assists, and your planners and schedulers stay accountable for the decisions.
It can be, when it is applied to the right tasks and checked by an expert. We recommend use cases where outputs can be verified, keep a practitioner in the loop, and prove tools on a live project before any wider rollout.
A short, structured review of your project controls processes, systems and data, mapped against practical AI use cases. It shows where AI can add value today, what to fix first, and what a sensible first step looks like.
Most organisations’ data is not perfect, and waiting for perfect data usually means waiting indefinitely. We identify the data gaps that matter, fix those first, and start with use cases that work with the data you have.
No. Our advice is technology-independent. ConstructMind AI is one option we evaluate alongside others against your requirements, and we will recommend another product where it is a better fit.
Book a consultation with a senior practitioner. We will discuss your projects, your current systems and your priorities, and give you a practical view of where AI can help first.