Our AI Philosophy

Built for the Enterprise, Open for Innovation

If you believe the hype, LLM-powered “agents” are about to take over preconstruction and design. Automating workflows, making decisions, and replacing large parts of how teams operate today.

We don’t see it that way. AI is real, and it’s improving quickly. It will change how work gets done. But it’s not a silver bullet, and it’s not replacing the human-powered judgment, coordination, and accountability required to deliver construction projects. We are a company that very much values the incredible contributions of our people-driven teams, and the people-driven teams of our customers.

This perspective shapes how we build at Join.

We are intellectually honest about what this technology can do today, and what it can’t. We are obsessively curious about where it creates real value. And we are impact driven in how we apply it—focusing on outcomes, not hype.

We are also outward first. Construction is an ecosystem. The work spans companies, systems, and disciplines. The most compelling automations span multiple systems of record, not just one.

AI should work across your ecosystem

The most important work in preconstruction spans owners, designers, contractors, and a growing set of tools that each serve a purpose.

The most valuable applications of AI:

Connect information across systems of record
Surface insights that help teams make better decisions
Accelerate routine work without breaking alignment
Support people, not replace them

Why we don’t believe in closed AI

Many platforms are introducing AI as a built-in, closed experience: typically a chatbot embedded inside their application.

We think that approach misses the mark:

It keeps AI confined to a single system, when real work spans many
It restricts how data can be combined and used across tools
It limits choice over which models interact with your data
It assumes one vendor can keep pace with a rapidly evolving AI landscape

Modern AI is powered by Large Language Models developed by companies like Microsoft, Google, OpenAI, and Anthropic. These are horizontal platforms, evolving at a pace no single vertical software provider can match.

“Power BI for construction” is Power BI.
“SharePoint for construction” is SharePoint.

When the problem is cross-system, horizontal platforms win.

An open approach, by design

At Join, we take an open approach to AI because it reflects how our customers operate.

Using the Model Context Protocol (MCP) with our public API, an open standard for connecting systems to AI applications, Join allows you to bring your own AI into your workflow.

With Join’s MCP server + API, you can:

Connect Join to the AI application of your choice
Automate routine actions inside Join
Use Join data to generate analysis and reporting
Coordinate decisions and outcomes across your broader ecosystem

Join remains the system for structured decisions, shared context, and alignment. AI becomes a layer that helps teams move faster and stay coordinated.

Built for where the industry is going

Preconstruction needs better coordination. AI can help teams move faster and see issues earlier. It can reduce manual effort and surface useful patterns. Its value depends on how well it fits into the broader workflow.

That requires a clear point of view:

Be honest about uncertainty
Stay open to better tools and approaches
Focus on outcomes over features
Build for the ecosystem, not just the product

That’s how we think about AI at Join.