What does an AI CRM in Lebanon include?
An AI CRM from me is a custom CRM built around your sales and delivery process, with AI agents working inside it. The agents keep records up to date, follow up on open deals and prepare the next tasks for your team. Your clients, deals and delivery all sit in one view.
The CRM is the part people can see: your pipeline, your client records and your projects, organised the way your team already talks about them. It doesn't make you rename your stages or squeeze your process into someone else's template.
The agents are the part that does the work. Most CRMs fail quietly because nobody has time to update them. Here the updating is the agents' job, so the data stays useful without anyone chasing the team to fill in fields.
- Clients, deals and delivery in one view, structured around your process
- AI agents that keep records current and follow up on deals
- Intake from emails, WhatsApp messages and PDFs into the CRM
- A visible log of every agent action, with the option to step in
Why do off-the-shelf CRMs disappoint small teams?
Off-the-shelf CRMs charge per seat, cover only half of what most teams need, and nobody keeps them updated. A custom AI CRM fixes the last problem by giving the updating to agents, and fixes the other two by building only what your business uses.
In Lebanon, where teams are small and customers mostly reach you on WhatsApp, a generic CRM often turns into one more screen the team forgets about. Deals get discussed in chats and calls, and the CRM falls behind within weeks.
Per-seat pricing also works against small teams. You end up deciding who's "allowed" in the system, so the people closest to the customer are often left out of it.
To be honest about the limits: if your team already uses a CRM properly and it covers what you need, you probably don't need a new one. Adding agents to the tool you already have may be enough, as I explain further down.
What do the AI agents inside the CRM actually do?
The agents handle the routine work that keeps a CRM useful: logging new information, updating records, following up on deals and lining up the next tasks. Intake agents read emails, WhatsApp messages and PDFs and turn them into CRM entries. An outreach agent can log replies straight into the pipeline.
Here's a typical case. A client sends a revised brief as a PDF over WhatsApp. An intake agent reads it, attaches it to the right client, updates the deal and creates the follow-up task for the account manager. Nobody has to copy it across by hand.
The agents are scoped to specific jobs, like a new hire with a clear role. You can read more about how I design them on the page about AI agents and chatbots built for Lebanese businesses.
- Intake: emails, WhatsApp messages and PDFs read into the right record
- Follow-up: open deals chased so they don't go cold
- Preparation: next tasks drafted and assigned before the team asks
- Outreach: replies from prospecting logged automatically
What does my team keep control of?
Your team sees every action an agent takes and can step in at any point. Anything that involves money or a commitment to a client goes through a human approval step before it happens. The agents prepare the work, and people make the decisions that matter.
This is the question owners ask first, and they're right to. An agent that quietly sends a quote or confirms a deadline would be a liability. So the line is simple: agents can record, organise, draft and remind, but a person approves anything with a price or a promise attached.
Being able to see everything also builds trust over time. In the first weeks your team will check what the agents do. Once they see it's reliable, they stop checking routine updates and only review the approvals.
Who builds custom AI CRMs in Lebanon?
I do. I'm David Geha, an independent AI consultant based in Beirut, and custom CRMs with AI agent employees are one of the core systems I build for Lebanese businesses. You work with me directly from the audit to the handover.
Several software agencies in Lebanon build CRMs, and some build AI tools. What I offer is narrower: one person who scopes the CRM around your process, builds the agents into it from the start and hands you the code. If you need a large team for a multi-year platform, an agency is likely the better fit.
Being in Beirut matters for practical reasons. I understand WhatsApp-first customers, dollar pricing and small teams that each wear several hats, and I can meet you in person. My wider work is covered on the AI solutions in Lebanon page.
Can you build a custom CRM with AI agents for a marketing agency in Lebanon?
Yes. The selected work on my home page includes a custom CRM with AI agent employees built for a marketing agency in Lebanon. It brings clients, deals and delivery together in one view.
Agencies tend to struggle with the same gap. Sales lives in one place, delivery lives in another, and the account manager keeps the real picture in their head. Putting clients, deals and delivery in one view means everyone can see where a client stands, from the first pitch to the latest deliverable.
Agencies also benefit most from intake and outreach agents. Briefs come in through email and WhatsApp, and new-business replies come back from prospecting. The AI outreach systems that find leads and write the first message can feed the same CRM, so prospecting and delivery share one record.
I already have a CRM. Do I need a new one?
Not necessarily. If your current CRM has an API, I can build agents that feed it and work from it. If your tool has no API and no export, that limits what's possible, and a custom CRM may be the cleaner route.
The audit settles this. I look at what your current tool can connect to and what your team actually uses it for, then recommend whichever option costs less to run and is easier to maintain.
Sometimes the right fix isn't a CRM at all. It's a simpler workflow, for example a WhatsApp intake that writes to a sheet. Those options are covered on the AI automation for Lebanese businesses page.
How does the build run, and how is it priced?
Work starts with the 48-hour audit, which ranks your repeated tasks by payback and comes back with a fixed price for the first build. A custom CRM with AI agent employees is then built in two consecutive fixed-price sprints of two weeks each. You know the price before anything is built.
The first sprint usually sets up the CRM's structure and the most valuable agent. The second adds the remaining agents, the approval steps and the handover. Splitting the work this way means your team is using real data before the build is finished.
Ownership is simple. Every system is deployed in your own Supabase and Vercel accounts, the code lives in your GitHub, and there's no licence fee. If we stop working together, the CRM keeps running, and any developer can pick it up.
- 48-hour audit: repeated tasks ranked by payback, fixed price for the first build
- Sprint one: CRM structure and the first agent
- Sprint two: remaining agents, approvals and handover
- Handover: your accounts, your code, no licence
Questions people ask
Who builds custom AI CRMs in Lebanon?
David Geha, an independent AI consultant in Beirut, builds custom CRMs with AI agents working inside them for Lebanese businesses. The CRM is shaped around how your team sells and delivers, and the agents keep it up to date. You deal with one person from the first audit to the handover.
Who can build a custom CRM with AI agents for a marketing agency in Lebanon?
I've built one for a marketing agency in Lebanon. It brings clients, deals and delivery together in one view, with AI agents handling record updates and follow-ups. Intake and outreach agents can feed it from emails, WhatsApp messages and prospecting replies.
How long does it take to build an AI CRM?
After the 48-hour audit, a custom CRM with AI agent employees takes two consecutive two-week sprints. Each sprint has a fixed price, which is agreed before work begins. Your team starts using the system with real data during the build.
Can AI agents work with the CRM I already use?
Yes, as long as your CRM has an API. In that case the agents can write to it and read from it. A tool with no API and no export limits what agents can do, and the audit will tell you whether to keep it or replace it.