# AI OS - The Applied AI Layer For Your Company | Koso

> Koso builds your AI OS - a custom, owned layer of workflows, agents, pipelines and dashboards wired into the tools your team already uses. Applied AI, end to end.

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 Applied AI, end to end

# One brain  
for your business.

A custom AI Operating System for your business. Koso designs and ships one connected system - workflows, agents, pipelines, knowledge and reporting - wired into the stack you already run.

[Book a discovery call ](/book)[See what's inside](#modules)

## Scattered tools.  
One brain.

Most companies run a dozen SaaS tools that don't talk. Your AI OS sits above them - one logic layer coordinating the whole stack.

Today

CRM

Email

Slack

Sheets

Ads

Analytics

Support

Payments

Eight tools. Tangled workflows. Every handoff runs through a human.

With AI OS

CRM

Email

Slack

Sheets

Ads

Analytics

Support

Payments

AI OS

BY KOSO

Same eight tools. One coordinating brain. Workflows run themselves.

## You don't need more AI tools.  
You need a system that runs your work.

Drag the slider. Same team, same day - one runs on tabs, the other runs on an AI OS.

With AI OS

5 auto · 1 needs you

* 8:30  
Inbox triaged. Brief on your desk.Handled by AI OS
* 9:15  
Leads enriched, scored, routed.Handled by AI OS
* 11:00  
Live pipeline auto-posted to standup.Handled by AI OS
* 13:30  
You  
Approve 6 replies drafted in your voice.2 min of your time
* 16:00  
Weekly report written and shipped to Slack.Handled by AI OS
* 19:00  
Offline. The system kept working.Handled by AI OS

Today

6 tasks · all you

* 8:30  
gm  
ou  
Scroll 40 unread emails. Star five. Forget three.
* 9:15  
hu  
go  
sa  
Copy lead list from CRM to spreadsheet to enrich by hand.
* 11:00  
sl  
no  
Standup - nobody knows the current pipeline number.
* 13:30  
gm  
li  
Write the same follow-up for the 12th time.
* 16:00  
no  
ai  
go  
Ops asks for a report. Pull it manually from four tools.
* 19:00  
sl  
Still online. Still catching up.

← Drag to see todayDrag to see with AI OS →

## Your tools stay.  
We build the AI layer above them.

Everything you already use - your CRM, sheets, inbox, docs - stays. Koso sits above the mess as one coordinating brain, turning tangled workflows into outcomes your team actually notices.

Excel exports

Drowning in emails

Missed follow-ups

Scattered Notion docs

Repetitive tasks

Generic SaaS tools

Google Calendar

Repetitive data entry

Manual spreadsheets

AI OS

by Koso

### Autonomous workflows

* \-Multi-system orchestration
* \-Draft, route, and update
* \-Human-in-the-loop on judgement
* \-Runs 24/7 with guardrails

### Applied intelligence

* \-One shared data model
* \-Agents scoped to your business
* \-Knowledge base you own
* \-Continuous evals + feedback

### Interfaces your team uses

* \-Slack, email, and dashboards
* \-CRM writes and alerts
* \-Reports that arrive on time
* \-No new tool to learn

Your existing stack

Excel exports

Drowning in emails

Missed follow-ups

Scattered Notion docs

Repetitive tasks

Generic SaaS tools

Google Calendar

Repetitive data entry

Manual spreadsheets

AI OS

by Koso

### Autonomous workflows

* \-Multi-system orchestration
* \-Draft, route, and update
* \-Human-in-the-loop on judgement
* \-Runs 24/7 with guardrails

### Applied intelligence

* \-One shared data model
* \-Agents scoped to your business
* \-Knowledge base you own
* \-Continuous evals + feedback

### Interfaces your team uses

* \-Slack, email, and dashboards
* \-CRM writes and alerts
* \-Reports that arrive on time
* \-No new tool to learn

01

Signal in

An email, a form, a CRM update, a Slack message - anything already flowing through your stack.

02

AI OS reasons

The core classifies, enriches, and decides the next step against your data model and guardrails.

03

Action out

Replies drafted, records updated, dashboards refreshed, pings sent - back into the tools your team already lives in.

## Six modules.  
One system that runs.

Start with the two or three modules that hurt most. Add the rest as you feel the compounding. You pick the surface area; we ship the wiring, the intelligence and the guardrails.

Ship

### Workflows that run themselves

The messy cross-tool processes your team keeps redoing - approvals, handoffs, updates, follow-ups - rebuilt as AI-native flows that just execute.

Own

### Agents with a real job

Not chatbots. Specialised agents that own an outcome - inbox triage, research briefs, QA, ops monitoring - and get graded on it.

Grow

### Pipelines that actually convert

Lead enrichment, scoring, routing and follow-up written before your SDR opens their laptop. Wired into whatever CRM you already run.

Recall

### One brain for the company

SOPs, docs, calls, tickets and Slack, all searchable in plain English. New hires ramp in days, not months.

See

### Reporting your leaders read

Live dashboards, anomaly pings and weekly narratives written by AI - so ops meetings stop being status meetings.

Connect

### Wired into your stack

Slack, HubSpot, Notion, Sheets, Postgres, Zendesk, whatever you run. Your AI OS lives on top of them, not next to them.

## From event to action.  
Without a human relay.

Inputs

Inbound email

Form submitted

Slack message

New CRM record

System event

flow

AI OS core

Classify & enrich

Decide the next step

Draft or execute

flow

Outputs

Reply sent

CRM updated

Slack ping

Dashboard refreshed

Task closed

Every workflow you'd normally do by hand becomes a wire. The OS listens, reasons, and acts - with humans in the loop only where judgement matters.

## How your AI OS gets built

The first piece of most AI OS builds is one agent in one team. This is the inbound sales agent we built for a US B2B SaaS company, written up the way it happened.

1. Wk 1  
Sat in on their inbound queue for three days. Demo requests landed in a shared inbox and waited about four hours for a reply, mostly because the SDRs were researching every lead by hand before writing back.
2. Wk 2  
Cut the scope to inbound demo requests. Partner enquiries and support questions come through the same form, and those stayed with people.
3. Wk 3–4  
Nothing shipped. We pulled a few hundred old leads out of HubSpot and had their best SDR mark the ones worth chasing. That became the test the agent had to pass.
4. Wk 5  
First version live, with a human in front of it. The agent qualified the lead and drafted the reply, and an SDR approved every email before it went out.
5. Wk 7  
Turned on booking, so qualified leads could pick a slot on a rep's HubSpot calendar straight from the first email.
6. Wk 9  
Median time to first reply was 6 minutes, down from 4 hours. We still run it with them.

## A dev team that actually ships AI.

### Built around your business, not a template

No agent farms. No AI wrapper repackaged five times. Every AI OS is scoped to your workflows, your data and how your team actually works.

### One system you own, not fifteen SaaS logins

You get code, prompts and infra you own. One logic layer. One place to change things. Most clients kill three to six subscriptions in the first six months.

### A team that ships, not slide decks

Strategy, build and ongoing operation under one roof. Nothing gets handed to a partner you've never met.

## Before you ask.

So what is an AI OS, really?+

It's the custom layer we build on top of the tools you already run - CRM, docs, sheets, email, databases. Workflows, agents, knowledge, reporting and integrations, all speaking to one shared data model that reflects how your business actually operates.

How is this different from buying another AI SaaS?+

SaaS is generic and disconnected. An AI OS is shaped around your workflows and owned by you. It plugs into your existing stack instead of replacing it, and it changes as your business changes.

How fast do we see something real?+

First workflow or agent typically ships in weeks two to four. A meaningful AI OS - three to five connected modules live in production - lands inside three months. Compounding starts from there.

Do we need engineers on our side?+

No. We build. You bring one business owner who knows the workflows and can make calls. If you have engineers we work alongside them and hand off clean.

What does it cost?+

Scoped by modules and complexity. Most builds land between a mid-market SaaS renewal and a senior engineering hire, with clear line items per module. Full proposal within 48 hours of the first call.

Do you stick around after launch?+

Yes. Every AI OS ships with an Operate phase - monitoring, tuning, cost control and roadmap extensions. You can take full ownership any time; the code and prompts are always yours.

## Ready to run on an AI OS?

Tell us where the busywork lives. We'll come back in 48 hours with a scoped AI OS plan - modules, timeline and cost.

[Book a discovery call ](/book)[See what we build](/)

A custom AI development agency. Bespoke agents, copilots and products engineered for teams that want a moat, not a subscription.

Ideanab Private Ltd is a company registered in England and Wales, no. [16344048](https://find-and-update.company-information.service.gov.uk/company/16344048). Registered office: 124 City Road, London, EC1V 2NX, United Kingdom.

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