Who are custom AI tools for?
Firms whose bottleneck is specific to them — their standards, their past projects, their clients — and that off-the-shelf software does not handle well.
What problems do they solve?
- Knowledge locked in old projects. Answers exist somewhere in past drawings, reports and emails, but finding them takes hours.
- Checking against your own standards. Reviews depend on a few experienced people.
- Proposals and reports from scratch. Each one is rebuilt from earlier documents by hand.
What do you get?
A working tool deployed in your environment, with documentation, a named owner on your team, and clear limits on what it should and should not be used for.
| Who it's for | Firms whose problem is specific to their own data, standards or clients |
|---|---|
| Examples | Project knowledge assistants, standards and submission checkers, report and proposal drafting agents |
| Outputs | A working tool in your environment, documentation, and an owner on your team |
| Duration | 8–12 weeks |
| Team | Led by Ar. Vivek Bhati, with AI, software and BIM specialists as the project needs |
How does it work?
- Define the job the tool must do, and how a person will check its output.
- Prepare the data — the documents, drawings and standards it will draw on.
- Build a prototype and test it with the people who will use it.
- Harden and deploy with access controls and logging.
- Train and hand over, with support as models change.
How do you keep answers reliable?
We prefer designs where the tool cites its sources, such as retrieval from your own documents, so every answer can be checked. AI outputs can still be wrong, so each tool comes with a review step and a written usage policy — see training and AI governance.
Frequently asked questions
What is an AI agent in an architecture, engineering or construction firm?
- An AI agent is software that uses a language model to carry out a multi-step task, such as reading a submission, comparing it with your standards and drafting comments, with a person approving the result.
When should we build a custom tool instead of buying one?
- Build when the task depends on your own data, standards or clients, and no product handles it well. Buy when a product already does the job. We will tell you which applies before any build starts.
Where does our data go?
- We design each tool so your data stays in systems you control wherever possible, and we agree in writing which AI services may process it. See our approach to security and governance.
What is retrieval-augmented generation (RAG)?
- RAG is a technique where the AI first searches your own documents for relevant passages and then answers using them, which makes answers more specific and easier to check against the source.
Who maintains the tool after launch?
- We hand over documentation and train an owner on your team. We can also support the tool as AI models and your needs change.