Omnishi, the friendly green robot

The AI Operations Platform

Omnishi runs AI inside the work systems your team executes every day: speeding up daily operations, replacing menial labor, and freeing your people for higher-leverage work.

What Autonomous AI does for you

Coordinate projects

The Project Coordinator executes projects for you: it coordinates the work across team members, follows up on a schedule, and verifies cadence until completion. It is never awkward about the third reminder.

Where are we on the launch checklist?
Design signed off yesterday. Waiting on legal (nudged this morning). Next check-in Friday.
What was my last order?
Placed April 23: entrecôte 25kg, chicken 30kg. Want it again for the 27th?

Answered from Knowledge, at 11:48 PM, without waking anyone.

Manage customers and external partners

Bots and Playbooks answer customers and partners on WhatsApp, your website, and Telegram: in seconds, at any hour, escalating to a human the moment it matters.

Execute business Playbooks

Define what events in your business trigger real-world execution Playbooks. Once defined, Omnishi runs these autonomously, verifying and coordinating with humans, and finishing jobs at immense scale without sleeping.

Maintenance requests Playbook

● running
Trigger: tenant message · “AC not cooling, unit 4B”
Priority quantified: high · no cooling in a heat wave
Fix flow verified: HVAC covered under vendor contract
Dispatch contacted: Cohen HVAC, Thursday opening
Entry time clarified with tenant: Thursday, 9 to 11
MAINTENANCE EVENT SCHEDULED. Logging invoice and confirming with property manager.
What did we decide about the pricing change?
Enterprise tier moves to $48k on September 1. Decided in Monday's leadership call.Source: meeting transcript · #leadership

Answer internal team queries

Knowledge Chat answers from everything your company knows, with citations, in Slack, Teams, Telegram, or the web. Questions that used to cost a meeting now cost a message.

Onboard new employees

A Knowledge-connected onboarding chat teaches new hires how your company actually works. Every new hire gets your most patient veteran, from day one.

How do I file a customer refund?
Under $500: approve it yourself in the billing tool. Over $500: route to finance. Here is the step-by-step.Source: refund policy · finance handbook

Customers

Rosen ButchersActive
Cafe LilaActive
Hotel DoritFollow up

Synced from: signup form · CRM · 2m ago

Manage and analyze data

Company databases with sync rules, record editing, and AI that reads and writes records with scoped access. Clean and current in every tool at once.

Build documents and dashboards

Create turns questions into documents, slides, diagrams, and dashboards built from company data. The first draft arrives already citing its sources.

Draft the Q3 board update
Done. Pulled revenue from the June close.
Make it a one-pager

Q3 Board Update

Revenue grew 18% QoQ, driven by the enterprise tier...

v3 · sources attached

Define your business process rules and let AI take over the work

Playbooks execute whenever their trigger happens, coordinate with multiple internal and external people, and produce finished work and outputs. Menial labor moves to AI systems, and your workforce is freed to focus on the fundamental decisions and the taste of your products, services, and operations.

Most companies deploy AI as a chatbot with some tools

Scattered data. Scattered knowledge. Zero governance. Agents spread across different products, none of them accountable. Pilots that demo well and die in review, because they were never operations.

Why you need an operations platform

One platform, not scattered agents

AI scattered across different tools is not operations. One platform runs it all: Playbooks, bots, chat, and data, under one set of controls.

LLM agnostic

Bedrock, OpenAI, and Google behind one abstraction. Models keep leapfrogging each other; your operations should not care.

Data-source agnostic

Works with your data wherever it lives, and can copy, re-deploy, duplicate, and clean it across your tools. Your data is never hostage to one tool, including ours.

Gaps found and plugged

Knowledge Health detects the gaps in data and Knowledge documentation that break AI operations, and helps you plug them without months of manual documentation work.

Every AI action visible

Every call, read, write, and cost, logged and mapped. If you cannot answer "what did the AI do yesterday," you are not operating it, you are hoping.

Brakes, not just engines

Per-agent restrictions, model allowlists, a kill switch, and automatic pause when something behaves strangely.

Exceptions land on humans

Real operations are mostly routine and occasionally judgment. The judgment calls route to the right person with full context, every time.

Plugged into your business events

An email arrives, a message comes in, a record changes: operations run on events. AI that waits to be prompted is a consultation, not operations.

Omnishi gives you all of it, plus the system that plugs the gaps

Knowledge Health finds what is missing, stale, or conflicting, ranked by how often your team asks, and helps you fix it. And on top: a model-agnostic ecosystem for AI chat, agents, autonomous Loops, customer bots, and everything else AI can deliver. Built on Bedrock, OpenAI, and Google behind one abstraction. Never locked to one model.

Knowledge Health

MissingHow do we handle refunds over $500? · 14 searches this week
OutdatedParental leave policy · last updated 2023
ConflictingQ3 enterprise pricing · two docs disagree

From scattered to deployed

One central platform that turns the typical scattered-data, scattered-knowledge, zero-governance company into managed AI operations, connected to the systems your team already runs.

Playbooks · Governance · Autonomous AI

Deploy and scale AI with Omnishi

What's inside