Build a useful enterprise AI agent: six steps with Addy
A 60-second captioned short with Addy: define the job, map the workflow, use trusted sources, separate language from rules and tools, keep people in charge and test before scaling. This edition has on-screen text and no narration.
On-screen text
The film’s written story, available to read alongside the video.
Useful agents. Accountable work.
An AI agent helps people finish a task. Start with the work, then decide where AI belongs.
Pick one job.
Name the problem, the person responsible and what a better result would look like.
Map the work.
List the inputs, decisions and handoffs. Give the agent one clear responsibility.
Ground the answers.
Use approved sources. Show where answers come from. Say when evidence is missing.
Separate the tools.
Use language models for language, rules for calculations and controlled tools for actions.
Keep people in charge.
Ask before consequential actions. Make escalation easy. Keep a record of what happened.
Test before scaling.
Try missing data, conflicting sources and unauthorized requests. Pilot narrowly. Measure the result.
Build trust. Then expand.
Explore Adnan Khan's enterprise agent work and practical how-to at adnankhan.ai.
