What can AI do for developers today?
- Feasibility — faster layout options and area, FAR and coverage calculations for a plot
- Design reviews — check consultant drawings and documents against your brief
- Reporting — consistent progress and portfolio summaries across projects
- Document control — search contracts, approvals and correspondence in plain language
- Digital twin planning — a staged roadmap built on structured BIM and project data
| Best first use cases | Feasibility and area checks, portfolio and progress reporting, document search |
|---|---|
| Best first service | AI strategy and readiness assessment |
| Data you'll need | Project briefs, area statements, consultant drawings, schedules and reports |
| Watch out for | Scattered data across consultants, and decisions made on unverified AI outputs |
Where should a developer start?
Begin with an AI readiness assessment across your projects and consultants. Most developers then pick one use case — often reporting or feasibility — and put the data foundations in place with BIM and data integration.
What should developers watch out for?
- Data spread across consultants — agree formats and ownership early.
- Verification — feasibility figures and design checks must be confirmed by qualified professionals.
- Confidentiality — land, pricing and approval documents need approved tools and clear rules.
Which CloudBrain services fit developers?
- 01
AI strategy & readiness
AI readiness assessment and a practical roadmap for your firm.
Learn more about AI strategy & readiness - 02
Workflow automation
Automate BOQs, compliance checks, RFIs, specs, tenders and reporting.
Learn more about Workflow automation - 03
Custom AI tools & agents
AI tools and agents built around your own data and processes.
Learn more about Custom AI tools & agents - 04
BIM & data integration
IFC/DXF pipelines, data platforms and project dashboards.
Learn more about BIM & data integration - 05
AI visualisation
AI rendering and concept pipelines for design teams.
Learn more about AI visualisation - 06
Training & AI governance
Workshops, AI usage policy and governance for AEC teams.
Learn more about Training & AI governance - 07
Product implementation
Rolling out aecoviz or aecobuild across your firm.
Learn more about Product implementation
Frequently asked questions
How can AI help with feasibility studies?
- AI can quickly generate layout options and calculate areas, FAR and coverage for a plot, so development teams can compare scenarios earlier. Results must be checked by an architect against the applicable rules.
Can AI review consultant drawings?
- AI can check drawings and documents against your brief and standards and flag likely issues for your team to review. It does not replace professional review.
What is a digital twin for real estate?
- A digital twin is a connected digital model of a building or portfolio that combines design, construction and operations data. Most developers build one step by step, starting with well-structured BIM and project data.
How does AI improve portfolio reporting?
- AI can pull figures and updates from many project reports into one consistent summary, so leadership sees comparable information across projects.
Where should a developer start with AI?
- With a short readiness assessment that maps your projects, consultants and data, and picks one use case with a clear business case.