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.
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.
Answered from Knowledge, at 11:48 PM, without waking anyone.
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.
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
● runningKnowledge 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.
A Knowledge-connected onboarding chat teaches new hires how your company actually works. Every new hire gets your most patient veteran, from day one.
Customers
Synced from: signup form · CRM · 2m ago
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.
Create turns questions into documents, slides, diagrams, and dashboards built from company data. The first draft arrives already citing its sources.
Q3 Board Update
Revenue grew 18% QoQ, driven by the enterprise tier...
v3 · sources attached
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.
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.
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.
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
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.