Applied AI, end to end

Your AI OS.
Custom-built. Owned by you.

Stop taping together AI SaaS tools that don't know your business. Koso designs and ships one connected system - workflows, agents, pipelines, knowledge and reporting - wired into the stack you already run.

Before / after

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.

CRM
Email
Slack
Sheets
Ads
Analytics
Support
Payments
AI OS
BY KOSO
Same eight tools. One coordinating layer. Workflows run themselves.Hover a node

The real problem

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

Today

  • Ten SaaS tools, no shared brain
  • Copy-paste between tabs all day
  • Prompts scattered in Notion
  • Follow-ups nobody sent
  • Dashboards nobody reads
  • AI pilots that never leave the deck

With AI OS

  • One system, one data model
  • The busywork just runs
  • Prompts, agents and evals in production
  • Zero-touch follow-ups going out
  • Weekly narratives written by AI
  • Applied AI shipped, not slideware

The architecture

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

Think of it as a platform built on top of the software you already pay for. We add three layers - the core, the intelligence, and the interfaces - so work flows through one system instead of ten tabs.

Your tools Koso builds this Intelligence layer
What you already use

Your existing tools

Slack, CRM, sheets, email, ads, docs, databases. We connect to these. We do not replace them.

HubSpotNotionSheetsGmailPostgresZendeskAds
Layer 1 - We build this

The AI OS core

One shared data model, orchestration, guardrails, cost controls and observability. This is the brain that keeps everything coherent.

Data modelOrchestratorGuardrailsObservability
Layer 2 - We build this

Workflows, agents & knowledge

The intelligent modules that decide, draft, route and remember. Each one is scoped to your business, not a template.

WorkflowsAgentsKnowledge baseEvals
What your team sees

Interfaces & actions

Slack replies, CRM updates, drafted emails, dashboards, alerts, docs. This is where the AI OS shows up in your team's daily work.

SlackEmailDashboardsAlertsDocs

Inside your AI OS

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.

A signal in your business

From event to action.
Without a human relay.

Inputs

Inbound email
Form submitted
Slack message
New CRM record
System event

AI OS core

Classify & enrich
Decide the next step
Draft or execute

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.

Four phases, one team. Discover and Design take two weeks each. Build lands in production in weeks, not quarters. Operate stays as long as you want us there.

01

Discover

Two weeks inside your business. We shadow the work, map the tools and find the ten places AI moves a real number. The rest we leave alone.

02

Design

A written blueprint - modules, data flows, integrations, guardrails, cost model. You sign it off before we write code.

03

Build

Two-week ship cycles. Things land in production and in your team's daily use. No demo environments, no lab experiments.

04

Operate

We run it with you. Tune prompts, watch cost, catch drift, add capabilities as your business and the models keep moving.

Why Koso

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.

Questions

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.