MornningStar
AI automation services

AI agents that handle whole tasks, not just steps

MornningStar builds AI agents that take over whole tasks in sales, customer service and the back office. They work inside the tools you already use, with a person kept in the loop.

Agent console: a WhatsApp lead conversation on a phone, the live conversation list, the exact steps the agent took with timings and sources, the rules it must follow and today’s handovers to people

AI agents and workflow automation, built on the tools you already run

Every business has work that is repetitive but not quite simple: it needs reading, judgement and follow-through. That is where agents fit. A rule-based automation breaks when something unexpected happens; an agent reads the situation and either handles it or hands it to a person.

Agents we build
  • Sales agents that call or message leads within minutes, ask the qualifying questions, handle common objections and book the meeting into your calendar
  • Customer service agents that answer on voice, chat and WhatsApp, in English and Arabic, and know when to hand over
  • Back-office agents that chase overdue invoices, sort incoming documents, prepare reports and update your systems
  • Research agents that scan sources every day and deliver a short, scored summary instead of a pile of links

How we keep agents safe and useful

Clear limits

Every agent has a written list of what it may do alone and what needs a person’s approval.

Every action logged

You can see what the agent did, why, and what it was told.

Tested on real conversations

Before going live, agents run against real past cases and are scored.

Watched after launch

We review the first weeks of activity with you and tune the agent.

How we work

Find, build, run

What AI Agents & Automation looks like from the first day to hand-over.

  1. Weeks 1–2

    01Find

    We pick the one workflow where an agent saves the most, write down the rules it must follow and the moments it must hand over to a person.

    You get: Scope, rules and hand-over points
  2. Weeks 3–6

    02Build

    We script it, connect it to your systems and test it on real past conversations, with your team scoring the results before anyone outside sees it.

    You get: An agent tested on real cases
  3. Weeks 7–10

    03Run

    We launch to a small group, read every conversation for the first weeks, tune it, then widen it to everyone.

    You get: A live agent with a weekly report
Case studies

Work that is live, not slides

Client names are kept private at their request; the detail behind each project is something we walk you through on a call.

Conversion tracking dashboard for an online store: pixel and server events side by side, a week of purchase events by state, match-rate warnings and the automation runs that fixed them
E-commerce · Ad tracking

Ad tracking rebuilt so a beauty brand could sell across India

Two clean signals, one national market

Read case study →Warehouse tablet showing an exceptions board with new holds, auto-resolved items and decisions awaiting approval, a live floor map, dock schedule and pick-wave progress
Warehouse · Order exceptions

Orders on hold cleared before the customer notices

Holds cleared before the customer notices

Read case study →Document check screen: a bilingual salary certificate on the left, a trust score of 42 out of 100 on the right with the arithmetic and font checks that failed, and a magnified view of the altered total
Banking · Document fraud

A trust score out of 100 for every loan document

Score with reasons, not a black box

Read case study →

Tell us what slows your business down

Thirty minutes on a video call. We will tell you honestly whether AI can help, what it would take, and roughly what it would cost. No slides. No hard sell.

Book a call or write to hello@mornningstar.ai