Obenan

Agent Layer · Built on MCP

Ask what is changing. Understand why. Prepare the next action.

One conversation brings together reviews, Google performance, menus, posts, surveys and location facts, then prepares the next action for your approval.

Built on the Model Context Protocol. The connection runs through governed Obenan operations. Technical reference.

The gap

Dashboards show the data. Teams still need to ask, decide, act, and prove.

Local businesses and multi-location teams do not need a protocol lesson. They need reliable answers and safe action across hundreds of locations and thousands of decisions every quarter.

01Data

Reviews, hours, reputation, sentiment, performance. All of it already lives inside Obenan.

02Question

Which location needs attention first. Why did this place drop. What is the network telling us this week.

03Action

Approved corrections, replies, posts, and updates. With audit, governance, and confirmation.

Did you know you can ask

Ask the questions your team would actually ask in a meeting.

Plain language, real answers, drawn from the same governed Obenan operations your team already uses. Select a question to see the conversation.

The capability surface

108 governed capabilities. One conversation.

Across customer insight, visibility, profile accuracy, content, reputation, surveys and reporting.

108

governed capabilities

67

read and explain what is happening

41

prepare actions that wait for approval

Authenticated · Permission scoped · Confirmation gated

11

Understand how customers feel

Ratings, review themes, sentiment and survey scores, read together instead of one review at a time.

13

Connect visibility to customer action

Google search and profile performance, name searches versus discovery, and the words customers actually use.

22

Keep every location accurate

Hours, categories, contact details, descriptions, attributes and service areas, held consistent across locations.

17

Create and maintain content

Menus, posts and photos prepared as previews and dry runs before anything goes live.

15

Protect reputation with governed responses

Review replies drafted in your voice, with rules you define and approval you keep.

5

Listen through surveys

Survey responses and score breakdowns that hear the customers who never write a review.

14

Turn signals into reports and next actions

Reports generated, scheduled and delivered, with a preview before anything is sent.

11

Operate safely across locations

Every question and every action runs scoped to the account and locations you approve.

Nothing publishes without your confirmation.

Drafted, scheduled and delivered are different states. Delivery logs confirm what actually published, per location.

Search, filter, and copy the complete use-case library.

Explore all 108 questions

One conversation

One conversation, from question to prepared action.

What it looks like when an approved AI assistant connects to your Obenan account through the Agent Layer.

AI-to-AI

Approved AI assistant

Connected to Obenan

Your AI Talks to Our AI

ChatGPT5.6 Sol
Obenan connected
Ask anything...
Obenan AI

Simulated conversation. Actual responses depend on your connected network data.

Every step shown is a governed Obenan operation. Prepared work waits for your approval, and delivery logs confirm what actually published.

The causality chain

Five questions, one operating loop.

A metric is never the answer. The relationship between metrics is the answer.

The same loop your team already runs informally, made queryable and auditable.

  1. 01

    What is happening?

    Surface the locations, reviews, and topics that moved this week.

  2. 02

    Why is it happening?

    Drill into sentiment patterns, drifted business truth, and discoverability signals.

  3. 03

    What should we fix first?

    Rank the next actions by impact and reversibility, not by where they appear in the dashboard.

  4. 04

    Can we execute that safely?

    Authenticate, scope, confirm, then execute through the same approval workflow your team already uses.

  5. 05

    What proof should we check next month?

    Define the proof markers. The Agent Layer comes back and verifies them on cadence.

Trust and boundaries

It earns the access it asks for.

The Agent Layer is not a side door. It is the same governed Obenan surface, reached from a different interface.

Authentication is required

Every connection is authenticated through the Obenan identity flow before any tool can run.

Permissions are enforced

An approved AI assistant sees only what the connected user is permitted to see, always scoped to the account you approve. No quiet escalation.

Write actions require confirmation

Any tool that changes state is confirmation gated and runs inside the same approval workflow as the dashboard.

No broad customer availability today

Onboarding is handled with the Obenan team. We do not present this as a broad self-service release.

Technical reference is the Docs page

The public site explains the why and the what. The Docs page covers the how. The Agent Layer page does not host setup instructions.

Delivery is proven, not assumed

Drafted, scheduled and delivered are distinct states. Per-location delivery logs confirm what actually published. An action is never called delivered because it was requested.

Connect your operating loop

Bring approved AI assistants into the same governed Obenan you already trust.

Talk to us about the Agent Layer. We set it up with you.

Technical documentation