AI consulting, Platform-neutral
Agentic AI Development Consultation in Dubai & the UAE
An agent is software that carries out a multi-step task on your behalf: reading an enquiry, checking stock, drafting a quote, and writing the result back into your CRM. It differs from a chatbot in that it acts on your systems rather than only producing text.
This is where the commercial return usually is, and it is also where most projects fail. An agent that is right 85% of the time and wrong silently is worse than no agent. We build with evaluation and human review designed in from the start, on whichever platform actually fits.
What the platform actually gives you
- Agents that read from and write to your ERP, CRM, booking or commerce systems
- Document processing for invoices, contracts, tenders and claims
- Enquiry handling that drafts a response and routes it for approval
- Evaluation harnesses that measure output quality continuously, not once at launch
- Human review gates on anything with a financial or contractual consequence
Where it fits
- Processes that are repetitive, well-defined and currently done by people reading screens
- Back-office work where volume is high and the rules are mostly stable
- Quoting and enquiry response, where speed changes conversion directly
- Businesses constrained by manual process rather than by demand
- Teams that want the capability in-house rather than a permanent vendor dependency
What we do
How we work with you.
- Process mapping first, to find where the cost genuinely sits
- Honest assessment of where a rule or an integration beats a model
- Platform selection across Claude, OpenAI and Google on the merits of the task
- Agent architecture with tool access scoped to the minimum needed
- Evaluation design, so quality is measured continuously rather than assumed
- Human review gates wherever being wrong is expensive
- Training so your team can build and extend agents themselves
- Deployment, hosting and monitoring until the build is complete and stable
The engagement
We stay until it is finished.
Most AI consulting ends at a recommendation, or at a prototype that never reaches production. This engagement is structured to end when the thing is running.
- Step 01
Consult
We map the process, cost it, and assess whether Agentic AI is genuinely the right tool against the alternatives. The output is a written view with the commercial case stated, including when the answer is not to build.
- Step 02
Guide
We work alongside your developers rather than delivering to them. Architecture, data handling, prompting, tool design and evaluation, done with your team so the knowledge stays with them.
- Step 03
Support
While your team builds, we review, unblock and correct course. This is the phase most engagements skip, and it is where builds usually drift.
- Step 04
Host
We deploy, host and monitor it until the build is complete and stable in production. You are not handed a proof of concept and left to work out the deployment.
Why Globosoft
Reasons that are checkable.
Questions
Questions about agentic ai builds.
What is an AI agent?
An AI agent is software that carries out a multi-step task on your behalf, such as reading an enquiry, checking stock, drafting a quote and writing the result back into your CRM. It differs from a chatbot in that it acts on your systems rather than only producing text.
How do you stop an agent getting things wrong?
By measuring it and by limiting it. Evaluation harnesses check output quality continuously rather than only at launch, tool access is scoped to the minimum the task needs, and anything with a financial or contractual consequence passes through a human review gate before it takes effect.
Which platform do you build agents on?
Whichever fits the task. Claude for long documents, careful reasoning and reliable tool use; OpenAI for broad general knowledge and large engineering backlogs; Google where the estate is already on Google Cloud. Globosoft evaluates rather than defaulting to one vendor.
Can our own team maintain it?
That is the intended outcome. Globosoft trains your developers on agent design, prompting and evaluation during the build, so the capability stays inside your business rather than creating a permanent dependency.
Keep reading
Related AI work.
Claude Application Development
Claude is Anthropic's model family, used through an API, through Claude Code for engineering work, and through agent tooling for systems that carry out multi-step tasks rather than answering single questions. Teams reach for it most often when the work involves long documents, careful reasoning, or an agent that has to use tools reliably.
Read onCodex & ChatGPT Application Development
OpenAI's tooling covers two things most businesses conflate: the models behind ChatGPT, which you build into your own products through an API, and Codex, the coding agent that works inside a repository to write and revise software.
Read onGrowth AI 360
The full programme: consult, implement, connect your systems and train your team, measured on a commercial outcome.
Read onThinking about building with Agentic AI?
Tell us the process you want to automate. We will tell you whether it pays back, which platform fits, and what it takes to get it into production.