The Next Chapter of Every Consulting

Natalia Quintero (head of Every’s consulting practice) announces specialized AI adoption playbooks for tech and finance companies. Drawn from work with hedge funds, biotech companies, and orgs like Headway.

Key observation: a year ago, training focused on prompt engineering and model selection. Now it’s building custom plugins connecting AI to proprietary data, teaching Claude Code for end-to-end automation, and deploying agent workflows. The pace of change in what constitutes useful AI training has been as fast as the technology itself.

Every’s consulting frameworks include their compound engineering plugin and a product development guide. The team composition — applied AI engineers, designers, analysts, writers, editors — reflects the multi-disciplinary nature of effective AI adoption.

The core thesis: professionals will increasingly be judged not by subject matter expertise but by how well they allocate and manage AI resources. This requires traditionally human skills — goal setting, clear communication, effective feedback.

RDCO mapping: Validates the RDCO content strategy positioning. AI adoption consulting is a high-growth adjacent market. The observation that training content goes stale fast reinforces the need for evergreen frameworks over tactical how-tos. The skill set they identify (goal setting, communication, feedback) maps directly to the Sanity Check audience.