First Workflow Agent · 4–8 weeks

Stop paying your teamto copy, paste, and chase.

I hand one expensive, repetitive workflow to an AI agent that actually finishes the job — and escalates anything uncertain to a human. Scoped from your numbers, live in weeks, measured after launch.

Let's automate your business Let's talk

Free 3-minute audit
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You own the code and accounts
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Human approval on risky actions

agent · lead-qualifier 0/5

lead-qualifier 0/5

Running

The triggerWhere the work arrives: a form, an inbox, or a CRM event.

Trigger

New lead from the contact form — Northwind Facilities

The tool callsOnly the systems you granted. Every action is logged.

Read the requestForm submission · 14 fields parsed
Enrich the companyDomain, headcount, industry, signals
Score against your criteriaFit 82/100 · services, 20–200 staff
Draft the replyTone matched to your templates
Update the CRMContact created · deal set to Qualified

Your checkpointRisky or high-value steps stop and wait for a person.

Human checkpoint

Reply drafted and CRM staged. Nothing is sent until you approve.

You, in the loopRedirect it in plain English. No ticket, no rebuild.

Scroll

Why this keeps happening

The bottleneck is rarelya people problem.

Every week

The same request gets retyped into three different tools before anyone acts on it.

Every day

Good leads cool off while someone finds the time to research and reply.

Every month

You hire around the problem instead of removing it.

Buying another tool adds a login. Hiring adds payroll. The fix is to give one clearly defined job to a system that never forgets it — and to keep a human on the exceptions.

What “an agent” actually means

It works the queue. You keep the final say.

A chatbot answers a question and forgets it. An agent takes a job from trigger to finished record: it reads the context, calls the tools you approved, writes what it did, and stops at the line you drew.

Approved tools onlyIt touches the inbox, CRM, and files you granted — nothing else.
Every action loggedYou can see what it read, what it decided, and why.
Stops at the checkpointHigh-value, low-confidence, and irreversible steps wait for a person.

Mohamed Bellouch

Agentic AI & automation engineer

“Most companies do not need more AI. They need one job finished reliably, with a person still in control of the calls that matter.”

First workflow shipped: 4–8 wks
Initial scope: 1 bottleneck
Success standard: Measured

Where this pays first

Pick the job that hurts most.

Lead follow-up that never sleeps

The agent researches the lead, scores it against your criteria, drafts a reply in your voice, updates the CRM, and books the next action. You approve anything high value.

Document intake without the retyping

Invoices, contracts, and forms get classified, extracted, and validated. Clean records go straight through. Anything uncertain lands in a review queue with the source attached.

Support triage with real answers

Incoming requests are read, sorted by urgency, and answered from your approved knowledge. Sensitive or unusual cases go to a person with full context already gathered.

Reporting that assembles itself

The agent pulls the sources, flags gaps and anomalies, and prepares the pack. A human signs off instead of spending the morning building it.

What you get

A working system, not a pilot that quietly dies.

Everything below is part of the first engagement. If the numbers do not justify the build, I will tell you before you spend anything.

A measured baseline

Before anything is built, we write down what the workflow costs today in hours, delay, and rework.

One production agent

Not a prototype. A working system with approved tool access, running on the real workflow.

A human checkpoint

A review queue for low-confidence, high-value, and irreversible actions. Nothing risky runs silently.

Real integrations

It connects to the inbox, CRM, drive, or database the job actually depends on.

Testing on your examples

Validated against real cases and the awkward edge cases, not a curated demo.

Handoff and a 30-day read

Documentation, a walkthrough, and the same measures re-run after launch — including review time.

Four steps. You see working software early.

Diagnose

Map the live workflow and put a number on the bottleneck.

Design

Agree what the agent does, what stays human, and what success means.

Build

Ship in short cycles you can use. No six-month black box.

Hand off

Train the team, document the rules, measure the result.

Investment

$6k–$12k

First build, fixed and scoped after the free audit.

Then $1,500–$2,500 / month, optional

Watch exceptions, tune the agent, and add the next step once the first job is stable. Cancel whenever it stops earning its place.

The audit is free and creates no obligation. If the workflow is too small, too rare, or too risky to automate, that is the answer you get.

Let's automate your business

Worth a conversation if

The work repeats every week
Someone can define what “done” looks like
The delay costs money or client trust
You can grant access to the tools involved

I will turn it down if

You want a chatbot bolted onto the website
Nobody will own the workflow after launch
The process has no rules and changes daily
The real goal is a slide deck, not a live system

Free · 3 minutes

Three minutes now,or another quarter of copy-paste.

Run the audit and you leave with a cost baseline and an agent blueprint — whether or not we ever work together.

Let's automate your business contact@mohamedbellouch.com

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