The Platform

Everything it takes to run AI operations

Execution, Knowledge, data, security, and governance, built to work as one. Companies that run this way will be hard to compete with.

01 · Autonomous AI Playbooks

Playbooks

Autonomous Loops that run by a trigger: define the events that fire them, and Omnishi runs the job, coordinating people and finishing work 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.

Loops

On demand, an agent executes a multi-step process with defined requirements and guidelines until completion. Included with every seat.

Clarify intake

Describe the job in plain language; a clarifying agent interviews you until the spec is airtight.

Watchers and webhooks

Playbooks fire on inbound webhooks or standing watchers, rate-capped so nothing runs away.

Multi-channel delivery

Playbooks reach people on WhatsApp, email, Slack, Telegram, or the web. The message finds the person.

One thread per person

A router gives everyone a single conversation that carries everything: questions, Playbooks, requests from other people's work.

Unapproved-request routing

Asked something outside its brief, a Playbook routes it: notify the owner, forward, log, or file it. Never improvises authority.

Contact registries

Team members by default, external contacts by invitation, allowlists per Playbook.

Owner preferences

Your standing rules, with dated confirmations, applied to everything you own.

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

02 · Customer-facing bots

Customer chatbots

Design a bot on your company's Knowledge and deploy it where customers write.

Website widget

One script tag, and the bot is on your site.

WhatsApp Telegram ManyChat

The same bot on the channels customers already use.

Per-customer scoping

Each contact's bot sees that customer's records and nothing else.

Human handoff

An escalation inbox; a person takes over with the full conversation.

PII vault

Opt-in: IDs and card numbers tokenized and encrypted before the model sees them, revealed only by audited action.

03 · Knowledge

Knowledge Chat

Answers from everything your company knows, with citations.

Ask anywhere

Slack, Teams, Telegram, WhatsApp, or the web.

Meeting Memory

A bot joins Zoom, Meet, or Teams; what was decided becomes Knowledge.

Employee onboarding chat

New hires learn how the company actually works from a Knowledge-connected guide.

Knowledge Health

Missing, stale, and conflicting Knowledge surfaces on its own, ranked by how often people ask.

Master Knowledge Base

Flag the official truth. It outranks everything else.

Scoped sources

Choose drives, channels, and projects; suspend instantly, restore without re-indexing.

Deep Answer Mode

Hard questions trigger a multi-step research run, not a shrug.

Proactive suggestions

Omnishi DMs you what it noticed and what it can take off your plate.

04 · Data

Company databases

Structured records with an editing UI, built from your sources.

Sync rules

Decide what flows in, from which source, on what cadence.

Scoped AI read and write

Playbooks and bots read and write records through scoped, logged tools.

05 · Project Coordinator

Project Coordinator

The main assistant executes projects for you, coordinating the work across multiple team members and assisting throughout the process.

Scheduled follow-ups

It follows up on a schedule so you never have to chase anyone.

Cadence verification

Progress is verified at the cadence you set, until completion.

06 · Create

Create

Documents, slides, diagrams, dashboards, and data artifacts built from company Knowledge.

Iterate in place

Every version kept. Flip back any time.

Export to Drive

Finished work lands where your team already works.

07 · Infrastructure

Permission engine

Role-based permissions checked on every route. No exceptions.

Row-level security

Tenant isolation enforced in the database itself.

Encrypted credentials

Every stored credential AES-256-GCM encrypted.

Content scanner

Every tool call scanned on the way in and the way out.

Webhook signing

HMAC-verified in both directions.

The AI Registry

A live, CI-enforced map of every AI call our platform makes: every prompt, every model, every trigger. Ask your other vendors for theirs.

AI processing logs and cost tracking

Every call, model, token count, and trigger, per org. Spend per agent, per call: the ROI is on the invoice.

Audit log

Every user action and agent action, recorded.

Model allowlists

Decide which models are allowed to run in your org.

Execution switch

One toggle stops all autonomous execution.

QA checks

A post-run pass reviews agent output and flags what looks wrong.

Anomaly auto-pause

Deterministic baseline checks; an agent acting strangely pauses itself.

Connector Builder

Describe any app and AI drafts the integration. Any source in the known universe.

17 native integrations

Drive, Slack, Notion, Confluence, Jira, Linear, Teams, and ten more.

Model-agnostic core

Bedrock, OpenAI, and Google behind one abstraction. Never locked in.

Enterprise deployments

Your servers, your models, extended privacy controls: built with you as a custom engagement.

Playbooks · Governance · Autonomous AI

Deploy and scale AI with Omnishi