Agasi provides a capability intelligence platform that measures generative AI usage across non‑technical functions and delivers a prioritized enablement roadmap. It combines diagnostics, 90‑minute instructor‑led labs, and role‑specific playbooks to teach repeatable AI workflows and track adoption metrics, helping enterprises scale consistent AI performance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations adopting generative AI lack visibility into how the technology is actually used in everyday, non‑technical workflows, leading to inconsistent practices, unreliable outputs, and difficulty scaling productivity gains across the enterprise.
Solution
Agasi offers a capability intelligence platform that first measures GenAI usage across functions such as strategy, operations, HR, and sales. The platform delivers a baseline “pulse” report that identifies gaps and prioritizes enablement actions. Based on these insights, Agasi provides 90‑minute instructor‑led labs and role‑level playbooks that teach safe, repeatable AI habits. By combining diagnostics, training, and embedded playbooks, the solution helps organizations move from ad‑hoc experimentation to consistent, enterprise‑wide AI performance.
Target Audience
Primary customers are mid‑to‑large enterprises seeking to upskill non‑technical functions—strategy, operations, HR, and sales—in the effective use of generative AI.
Features
- Wide‑angle “GenAI Capability Pulse” diagnostic that captures a snapshot of AI usage and produces a prioritized enablement roadmap
- Instructor‑led “GenAI Essentials” labs (90 minutes each) that teach repeatable, low‑risk AI workflows and include a template toolkit
- Role‑specific “AiOS” program that bundles diagnostics, labs, and playbooks for targeted execution at the individual level
- Structured progression framework (Assess → Enable → Embed) that aligns training with measured capability gaps
- Analytics dashboard that tracks adoption metrics and habit reliability across non‑technical teams