Project managers stuck behind a screen
Bid documents, site reports, progress billing: paperwork eats into time on site.
Your best technical people end their days on spreadsheets, not in the field.
AI that works for construction.
Tenders, cost estimation, site tracking, admin: your teams focus on the field.
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The problem
AI seems to be everywhere. The value, nowhere.
The POC graveyard
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach daily work.
An individual ChatGPT, zero compounding
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the company sees neither ROI nor a collective advantage.
95%
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
75%
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Use cases
AI across your construction processes.
From tender responses to invoicing, every step becomes faster and better controlled. We break down AI in construction, from quotes to job sites.
Faster tender responses
- Automatic analysis of tender documents and specifications
- Pre-filling of technical bids from your references
- Detection of knock-out criteria and points of attention
Assisted estimation and quantities
- Quantity extraction from specifications and bills of quantities
- Quote generation from your price library
- Automatic comparison of supplier offers
Site reports and tracking
- Automatic synthesis of site reports and photos
- Real-time tracking of punch list items, change orders and milestones
- Alerts on schedule and budget deviations
Regulatory documentation & HSE
- Generation and checking of HSE and safety-plan documents
- Standards watch (building codes, RE2020, safety regulation)
- Compliance checks on files before transmission
Technical assistant for the design office
- Instant answers on standards, building codes and datasheets
- Unified access to plans, calculation notes and past projects
- Reduced document search time
Administrative automation
- Processing of progress billing and supplier invoices
- Automatic matching of purchase orders and delivery receipts
- Payment follow-ups and tracking
How we help
Five ways to move forward, in the order that suits you.
FrameDeploy
- Enablement Bring leaders and teams on board: what AI concretely changes for your business, with demos and real cases.
- AI Audit Process mapping, data analysis, top 5 costed use cases with ROI per case. A roadmap you can defend.
- AI Training Your teams get hands-on with Claude, ChatGPT or Microsoft Copilot, wired into your tools, your data and your procedures.
- AI Automation Agents that run your high-volume processes: inbound handling, enrichment, reporting.
- AI ops product When off-the-shelf no longer cuts it: bespoke business apps, built on your data, that you own.
A proprietary method, accelerated by our tech.
Our internal tools map in days what traditional firms take weeks to audit.
Broader scope, execution in the field, delivery twice as fast.
Accelerated immersion
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Pilot on your data
Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.
Scale without lock-in
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
Where to start?
30 minutes to identify your highest-impact use cases. No commitment.
Book a callThey say it better than we do
All solutions were live in less than six weeks. Quick wins galvanized the whole team. Dust was deployed at scale with structured onboarding (templates, best practices, use cases by function) and seamless integration in our tools. Tandem also supports our portfolio companies in identifying high-ROI levers and industrializing automations.
Éléonore Breton
Operating Partner, Newfund
White paper
Everything AI can do in construction.
A complete guide, reserved for industry professionals. Leave your email and we'll send it over.
✦Use cases by function, concrete and costed
✦The ROI observed at the companies we work with
✦Our deployment method, explained step by step
The questions we get.
What happens to our data?
An NDA before any exchange. Your data is never used to train models: isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365), EU hosting available and compliance with your industry's rules (GDPR, HDS in healthcare, DORA in finance).
How do you integrate with our tools?
We plug into what exists: Microsoft or Google suite, CRM, ERP, business tools. No rip-and-replace: agents slot into your current processes.
How long before the first results?
We frame the first use cases, then deploy in short iterations. At Newfund, every solution was live in under six weeks.
How is ROI measured?
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers.
Who works on the engagement?
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope.
Where should a construction company start with AI?
With a field audit where the volume is: estimating, tenders, admin. At Coulon, a few weeks of audit in the estimating department settled what deserved automation and what had to stay under human review.