Your employees knowwhich AI tool they need.

Kogi is an AI agent your whole company talks to. It runs one-on-one discovery conversations with every employee, then turns the results into a ranked, costed roadmap of the AI products actually worth building.


What a discovery report looks like — illustrative figures

73%

of employees want an AI tool nobody in leadership has asked them about

12hrs

of weekly busywork the top request would eliminate, per team

4.2x

average projected ROI on the requests that get funded

1 week

to interview every employee — no workshops, no surveys


What you get

01

From the fog to the surface

Thousands of scattered frustrations, distilled into the handful of ideas actually worth building — instead of staying buried in inboxes and hallway complaints.

02

Every team gets sharper

Not just the loudest department. Discovery reaches every employee and every team alike, so the efficiency gains compound across the whole company.

03

One roadmap, not a hundred requests

Leadership stops fielding one-off asks in hallway conversations and starts working from a single, ranked list of what to build next.

04

Adoption that's already earned

Employees were asked before the tool shipped, not handed something built without them — so they use it, instead of quietly ignoring it.


How it works

01

Deploy in a week

Kogi drops into Slack or Teams and starts one-on-one discovery conversations with every employee — no scheduling, no facilitators, no survey fatigue.

02

Discovery at scale

Structured interviews probe the daily friction behind each request, then cluster thousands of answers into a small number of real, buildable product ideas.

03

A costed roadmap

Every idea arrives ranked by demand, hours saved and build cost, so your team funds the AI products employees will actually use — not the ones that sounded good in a meeting.

A sample discovery conversation
Kogi — discovery session
E

Employee — Operations

Honestly? I spend two hours a day reformatting reports for the exec deck.

9:14 AM

K

Kogi

How many people on the team do that same reformatting, and how often?

9:14 AM

E

Employee — Operations

All six of us. Every Friday, without fail.

9:15 AM

K

Kogi

If you had an AI product that pulled straight from the source data into the exec deck template automatically — would that help, or am I missing something?

9:15 AM

E

Employee — Operations

You're missing that it also needs to flag any numbers that look off before it goes out.

9:16 AM

K

Kogi

Noted. So: an auto-formatter that builds the exec deck from source data and flags anomalies before it goes out.

9:16 AM

E

Employee — Operations

Great, thanks!

9:16 AM

K

Kogi

Saved idea

Exec deck auto-formatter with anomaly flagging

~12 hrs/week saved across the team

Thanks! If you have more ideas, I'm here.

9:17 AM

Stop guessing which AIproduct to build.