The Client
SK Collaborative is a building science consultancy whose daily work runs on documents: reviewing plans, evaluating project requirements, extracting technical information, preparing reports, and managing recurring workflows. Their expertise is deep and their processes are specific, which is exactly why generic AI tools were not landing.
The Problem
The firm knew AI could help but had no path from exploration to implementation. Off-the-shelf chatbots did not understand how a building science team actually reviews documents, there were no internal policies for using AI safely in client work, and staff had no shared playbook for what the tools should and should not touch.
What We Built
- Custom AI agents shaped around their document review and reporting workflows, not generic assistants.
- Internal training materials so staff could use the tools confidently in daily work.
- AI use policies covering what the tools may and may not touch, so client work stays protected.
- Workflow documentation and practical guidance for tools like Claude and OpenAI in a real business environment.
How We Worked
We started by learning the business: sitting with the team to understand how documents move through their practice, where time disappears, and where accuracy matters most. The agents and policies were designed around those specifics. The work focused on improving efficiency, supporting document review, organizing information, and creating repeatable processes their staff could actually use, with human judgment kept in the loop for the decisions that matter.
The Full Testimonial
Web Experts helped SK Collaborative move from exploring AI to implementing practical AI tools inside our business.
The Web Experts team took the time to understand our building science work, including how our team reviews documents, evaluates project requirements, extracts technical information, prepares reports, and manages recurring workflows.
They helped us develop custom AI agents, internal training materials, AI use policies, workflow documentation, and practical guidance for using tools such as Claude and OpenAI in a real business environment. The work focused on improving efficiency, supporting document review, organizing information, and creating repeatable processes our staff could use.
What stood out was Web Experts' ability to combine technical AI knowledge with a willingness to learn our industry and our internal processes. They did not simply hand us generic tools. They helped design a system around the way our business actually works.
I would recommend Web Experts to organizations that are trying to understand where AI fits in their operations and want practical tools, workflow automation, and documentation that can support real staff doing real work.
- C. Seville, BECxP Partner, SK Collaborative
Read it on our testimonials page.
The Takeaway
AI adoption succeeds when the system is designed around the way a business actually works. If your team is stuck between "we should be using AI" and "nothing we tried fits," that gap is the work we do. See AI integration and training or our Atlanta AI services, or contact us. Browse more work in the case studies library.