AI Engineering Firm · GCC and Pakistan
Forward deployed engineering for businesses in the GCC and Pakistan
We put an AI engineer inside your team. They learn how your business actually runs, find the work worth handing to software, build it on your systems and keep it running. You get the speed of a large firm's AI program without hiring one, and you own everything that gets built.
Ask if it fits your businessWhat forward deployed engineering is
A forward deployed engineer, or FDE, is a software engineer who works inside the customer's business instead of building from a distance against a written spec. The model comes from companies like Palantir, and the large AI labs and cloud providers now use it to get AI working inside their biggest customers. The idea is simple: the person who builds the system sits close enough to the work to see what really happens, and fixes the gap between the plan and reality in days, not quarters.
Most AI projects do not fail on the model. They fail on the last mile: messy data, a system with no API, a team that keeps working the old way, an approval step nobody wrote down. A forward deployed engineer is there for that last mile. They map the work, build, ship, watch it in use and change it until it holds.
Large enterprises can now buy this from global consultancies and AI vendors. Businesses with 20 to 500 people in Dubai, Riyadh, Doha or Karachi usually cannot, or cannot justify the cost. That is the gap CAELO works in.
FDE vs consultants, agencies and hiring in house
Each option solves a different problem. The question is who owns the result once the slides are done.
| What you get | Where it falls short | Best when | |
|---|---|---|---|
| AI consultant | A strategy, a roadmap, a list of use cases. | Someone else still has to build it. Plans go stale before anything ships. | You need a board level view across a large group. |
| Development agency | A project built to a fixed spec. | The spec is written before anyone sees the real workflow. Change costs a new quote. | The requirement is clear and will not move. |
| Staff augmentation | A developer who takes tickets from your team. | You still need someone to decide what to build and why. | You already have a technical lead and a backlog. |
| Hiring an AI engineer | A full time person who is yours. | Slow to hire, expensive to keep, and one person carries all the risk. | AI is core to your product and you have the work for years. |
| Forward deployed engineering | An engineer who finds the problem, builds the fix and runs it with your team. | Needs real access and a sponsor who can make decisions. | You know AI should help but not exactly where, and you want working systems, not a report. |
Forward deployed engineering is the right start when you know AI should help but not where. If you already know the exact workflow you want automated, a custom AI agent build is often the faster buy.
Who it is for, and who it is not for
Forward deployed engineering suits owner led and fast growing businesses in the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, Oman and Pakistan, usually with somewhere between 20 and 500 people.
A good fit
- You know AI should save your team time, but you do not know where to start.
- Your operations run across WhatsApp, spreadsheets, email and a CRM or ERP that do not talk to each other.
- You have no in house AI or data team, and hiring one is not realistic yet.
- A tried AI tool or pilot did not stick, and nobody can say why.
- You have a leader who can give access and make decisions within days.
Not a fit
- You want a fixed price quote for a fully specified app. A project agency suits that better.
- Nobody on your side has time to answer questions or review work each week.
- You cannot give access to the systems the work runs on.
- You want a strategy deck for a board, not systems in production.
- The goal is to replace a whole department in one step. We start with one workflow and earn the next.
What the engineer works on
The work depends on where your hours go. These are the kinds of systems a forward deployed engineer builds and runs in a business like yours.
Customer conversations
Agents that answer, qualify and route enquiries on WhatsApp and the phone, in English, Arabic and Urdu, and pass the hard cases to the right person with the context filled in.Documents and knowledge
Reading invoices, contracts, forms and reports; pulling out the fields; and making years of files searchable so staff stop asking the one person who remembers.Operations glue
Moving data between your CRM, ERP, accounting system and spreadsheets so people stop copying it by hand, with checks where errors would cost money.Internal tools
Small dashboards and approval flows built on the data you already have, so managers see what is happening without asking for a report.Reporting and follow up
Daily summaries, overdue items and exceptions sent to the people who act on them, on the channel they already read.
All of it is built on your accounts and your infrastructure, with the same testing, approval and logging rules we use on every agent we build.
How the first 90 days run
A typical first engagement looks like this. The exact plan is written down and agreed before we start.
Before day one: a scoping call and a written plan
We talk with the person who owns the problem, agree the business area to start in, who sponsors the work on your side, and what systems we need access to. You get the plan in writing.Weeks 1 and 2: embed and map
The engineer joins your team's channels and meetings, sits with the people doing the work, and maps where time goes. We pick the first workflow by one test: high volume, clear rules for what good looks like, and a measure you already track.Weeks 3 to 6: build and ship the first system
The engineer builds the first system on your tools, tests it against real past cases, and puts it in front of your team early. You see working software every week, not a status report.Weeks 7 to 10: harden and extend
We fix what real use shows, add monitoring and human approval where it matters, and start the second workflow from the list you built together.Weeks 11 and 12: review and decide
We review what shipped against the measures agreed at the start, write it all down, and you decide what comes next: continue, scale down to support, or take it in house.
Ways to work with us
| Model | How it works | Suits |
|---|---|---|
| Embedded engineer | One CAELO engineer works with your team on agreed days each week, backed by the rest of our team for review and specialist work. | Most businesses starting out. |
| Focused sprint | A fixed block of weeks on one defined problem, ending with a working system and a handover. | A clear first target and a tight budget. |
| Ongoing partner | After the first engagement, we stay on to run, monitor and extend what was built. | Teams that want results without hiring. |
We agree the model, the time commitment and the cost in writing before any work starts.
What you get
- A map of where your team's time goes, and a ranked list of what is worth automating.
- Working systems in production on your accounts, not prototypes on ours.
- A test set of your own past cases for each system, so you can check accuracy any time.
- Logs of what every agent did and why, plus alerts when something needs a person.
- Plain written documentation and a runbook your team or another engineer can follow.
- Full ownership of the code, configuration and documentation. No lock in.
What we need from you
Forward deployed engineering works because it is close to the business. That only happens with a few things from your side.
A sponsor
One person who can make decisions and unblock access within days. Usually the owner, the COO or the head of the area we start in.Access
Accounts on the systems the work runs through, with the permissions agreed in writing. We work with the least access the job needs.Time from the people doing the work
A few hours in the first two weeks to show us how things really run, then short weekly reviews.Real examples
Past messages, documents and cases to build and test against, handled under the data rules we agree.
Working across the Gulf and Pakistan
CAELO is based in Karachi and works with businesses in Pakistan and across the GCC. A few things shape how we run engagements in this region.
Time zones that overlap
Pakistan is one hour ahead of the UAE and Oman, and two hours ahead of Saudi Arabia, Qatar, Kuwait and Bahrain. We plan working hours around yours, not a US or European schedule, so questions get answered the same day.Your channels
We work in the tools your team already uses, whether that is Microsoft Teams, Slack, email or WhatsApp groups. Most engagements run remotely; on site time can be agreed during scoping.WhatsApp first customers
In the Gulf and Pakistan, customers expect to message a business on WhatsApp and get a fast answer. We build for that from the start, including the WhatsApp Business Platform's rules on templates and opt in.Arabic, Urdu and mixed language
Real messages mix English with Arabic or Urdu, often in Latin script. We test on real examples in the languages your customers use before anything goes live.Data protection
For clients in Saudi Arabia and the UAE, we plan hosting, model choice and data processing around the local data protection laws and your own policies, and agree it in writing before the build.
What drives scope and cost
There is no standard price for forward deployed engineering, because no two businesses have the same systems. These are the factors that move it.
| Factor | Lighter | Heavier |
|---|---|---|
| Time commitment | A few days a week | Full time, or more than one engineer |
| Systems to connect | One or two with good APIs | Several, including old systems with no API |
| Data | Clean and in one place | Scattered across files, inboxes and paper |
| Languages | One | Mixed English, Arabic and Urdu |
| Risk of a wrong action | Low, easy to undo | Money, contracts or regulated data involved |
| Hosting | Standard cloud | Your own servers or in country hosting |
After the scoping call you get a written proposal with the model, the time commitment and the cost. Nothing starts until you agree it.
How to judge an FDE partner
Many firms now use the words forward deployed. These questions separate the ones who build from the ones who advise.
- Who will actually do the work? Ask to talk to the engineer, not only the salesperson.
- Will it run on our accounts? Systems built on the vendor's infrastructure are hard to leave.
- How do you test before launch? Look for tests on your own past cases, with a pass mark agreed in advance.
- What happens when the AI is wrong? Expect logs, human approval on sensitive actions and a clear way to fix and retest.
- What do we keep if we stop? The answer should be everything: code, configuration, prompts, test sets and documentation.
- Do you work our hours and speak our customers' languages? In the Gulf and Pakistan, this decides how fast problems get fixed.
From our build work
We are building STRATA, a document intelligence system for a property valuation firm in Karachi: digitizing an archive of past reports and making it searchable in plain language. The project is in progress, so we are not reporting results yet. Read more on our custom AI agents page.
Questions buyers ask
What is forward deployed engineering?
A way of delivering software where the engineer works inside the customer's business, close to the people and systems involved, and builds, ships and adjusts the solution on site instead of working from a fixed spec at a distance.
What does a forward deployed engineer do day to day?
Sits with your team to understand the work, picks the most valuable problem, builds the fix on your systems, tests it on real cases, ships it, watches how it is used and improves it. Then moves to the next problem.
How is this different from hiring an AI consultant?
A consultant tells you what to build. A forward deployed engineer builds it, runs it in production and stays accountable for whether it works.
How is it different from staff augmentation?
An augmented developer takes tickets from your team. A forward deployed engineer decides with you what is worth building in the first place, then builds it.
Is it only for large enterprises?
No. Large firms buy it from global consultancies and AI vendors. We offer it to businesses with roughly 20 to 500 people in the GCC and Pakistan, who need the same last mile work at a scale that fits them.
Do your engineers work on site in Dubai or Riyadh?
Most of our work runs remotely, inside your team's channels and on your working hours. On site time can be agreed during scoping.
How long until something is live?
The aim of the first engagement is a working system in use by your team within the first two months. The exact timeline depends on access, data and how many systems are involved, and is written into the plan.
How much does it cost?
It depends on the time commitment, the systems involved, your data and the hosting rules. You get a written proposal with a clear cost after the scoping call, before any work starts.
Do we need our own technical team?
No. We need one decision maker and time from the people who do the work.
Which AI models and tools do you use?
Whichever performs best on your cases within your data rules, from hosted models by the major providers to open models on your own servers. Systems are built so the model can be swapped later.
How do you handle our data and access?
We work with the least access each job needs, agree in writing what data is used and where it is processed, and can host on your own infrastructure when your rules require it.
Can the systems work in Arabic and Urdu?
Yes. We agree the languages during scoping and test on real messages and documents in those languages before launch.
Who owns what gets built?
You do. Code, configuration, prompts, test sets and documentation all belong to you.
What happens when the engagement ends?
You get a runbook and documentation your team or another engineer can follow. You can keep us on to run and extend the systems, or take them over completely.
What is the difference between this and a custom AI agent build?
A custom AI agent build is a defined project: one agent for a workflow you already know. Forward deployed engineering is open ended: we find the workflows with you, then build several systems over time.
Tell us where your team's time goes.
Send us a message. We will tell you whether an embedded engineer is the right fit, or whether a single agent would do the job.
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