AI Guides

AI in practice — by industry

What AI actually looks like when it's working. Not theory — specific applications, real considerations, and honest assessments of where AI helps and where it doesn't.

Industry guides represent typical applications based on our experience. They are not case studies of specific client engagements unless otherwise noted.

Legal

AI for law firms — intake, research, and document work

Where AI creates real value in legal practice and where it doesn’t. Intake automation, document review, contract analysis, and the compliance considerations every firm needs to understand.

8 min readRead the guide →

Accounting

AI for accounting firms — capacity without headcount

How AI changes the economics of accounting practice. Transaction processing, reconciliation, anomaly detection, and what it means for the client relationship.

7 min readRead the guide →

Insurance

AI for insurance — claims, underwriting, and client ops

Claims processing, underwriting support, and policy queries. Where AI reduces friction and where human judgment remains essential.

8 min readRead the guide →

Construction

AI for construction — documentation and project ops

RFI processing, project documentation, safety reporting, and subcontractor communication. AI applications that reduce admin without touching the job site.

7 min readRead the guide →

Education

AI for education — content, support, and administration

Course content creation, student support, administrative automation. What works, what doesn’t, and the ethical considerations every institution needs to address.

9 min readRead the guide →

Hospitality

AI for hospitality — guest experience and operations

Reservation handling, guest queries, staff scheduling, and operations reporting. AI that improves the guest experience without replacing the human touch.

7 min readRead the guide →

HR & Recruiting

AI for HR — screening, onboarding, and employee support

Resume screening, structured interviews, onboarding automation, and employee self-service. The full picture of AI in HR — including where bias risks need to be managed.

9 min readRead the guide →

Professional Services

AI for professional services — the capacity problem

Proposals, client reporting, knowledge management, and internal ops. How professional services firms use AI to grow revenue without growing headcount.

8 min readRead the guide →