What does Neovara do?

Neovara is an AI & data partner for F&B, hospitality and other ambitious SMEs. We build and run AI agents that do the work — Agentic as a Service — on top of a clean, structured data foundation you can actually trust. Where it's useful, we run the back-office too.

What is GaaS, or Agentic as a Service?

GaaS stands for Agentic as a Service. With software — SaaS — you buy a tool and your team does the work inside it. With GaaS you get working AI agents that do the job itself: researching, processing, reporting, updating your systems. They're built around how your business already runs, and we manage them. You're buying the outcome, not the licence.

Do you specialise in F&B and hospitality?

Yes. F&B and hospitality is our home turf: we built and proved the model with fine-wine merchant Cru Wine — back-office costs down 65% and a record profit year. We also work with SMEs beyond F&B.

How do we start, and how do you price?

Start with a free 20-minute discovery call. We'll get to know your business, your systems, and where the friction actually is. From there we come back with a clear view of where agents and clean data will help you most, what it takes to get there, and what it costs — scoped to your business, not to a package. No long-term lock-in.

Do we need to replace our existing systems?

Usually not. Most of the value comes from connecting and cleaning what you already have, then putting agents on top. If something genuinely does need replacing we'll tell you — but that's rarely the first move, and it's never the starting point.

Where is your team based?

We deliver from four hubs: the UK, Philippines, India and Dubai.

What is the difference between AI enablement, data architecture and back-office support?

AI enablement gets your team using AI effectively; data cleaning and architecture builds a single source of truth you can trust; back-office support is our team running finance, IT, customer service, marketing and admin for you.

Do you only work with F&B and hospitality?

No — F&B and hospitality is where we go deepest, but we help any SME growing fast on messy data and manual back-office.

Your Staff Doesn't Have an AI Adoption Problem. They Have an AI Training Problem.

Your team is already using AI. A 2026 global survey of 6,000 employees found that 70% use AI tools like ChatGPT at least a few times a week — and 31% have received zero training on how to use them from their employer. AI training for UAE SMEs isn't a rollout you're planning for the future. It's catching up to a habit your staff already picked up on their own, on their own devices, with your company's data.

Why UAE SMEs Already Have a Shadow AI Problem

Shadow AI — staff using consumer AI tools outside any company oversight — isn't a hypothetical. Between 20% and 33% of employees now use AI at work without their IT team's knowledge or approval, pasting client details, financial figures, and internal documents into tools nobody vetted. Nobody decided this was policy; it happened because the tools are free, fast, and already on people's phones. For a UAE SME juggling client contracts, supplier pricing, and payroll data, that's not a productivity story — it's an exposure nobody signed off on. The gap isn't whether your team uses AI. It's that 31% of them are doing it with no guidance on what's safe to type into it.

What Ungoverned AI Use Actually Costs You

Untrained AI use rarely fails loudly — it fails quietly, in ways that surface weeks later. A junior staffer pastes a signed contract into a public chatbot to "summarize the terms." A finance assistant uses AI to draft numbers for a client report without checking the output against the source spreadsheet. Nothing crashes. But client data has left the building, and a number that looks confident and reads wrong ships anyway. Half of employees say better training would help them get more value from AI at work — which means the tools already have the capability; what's missing is someone showing staff where the line is.

What AI Enablement Looks Like When It's Done Right

The UAE isn't short on momentum here — du Business launched a nationwide agentic AI training initiative in August 2026 aimed at 10,000 UAE SMEs, built on a "learning by doing" philosophy rather than theory. That's the right instinct: AI enablement means specific staff, specific tasks, specific rules — not a generic policy memo nobody reads. It means showing your invoicing team exactly which client data can go into a drafting tool and which can't and showing your ops team how to check an AI-drafted report against the source before it goes to a client. Done properly, this is a one-to-two-week engagement per department, not a company-wide overhaul — and it turns a tool your staff already use into one you can actually stand behind.

FAQ

Do I need to train my staff on AI if they're already using it well enough on their own?
Yes. "Working fine" usually means nobody's checked the output against the source yet. Training isn't about permission to use AI — it's about which data is safe to share with it, and when a human still needs to verify the result before it reaches a client.
What's the difference between AI adoption and AI enablement?
Adoption is staff using AI tools, with or without guidance. Enablement is giving them clear, task-specific rules for what to input, what to check, and what never leaves the business — turning ad hoc use into something you can rely on.

Neovara helps ambitious SMEs turn ad hoc AI use into a system their team can trust — training staff on exactly what's safe to input, verify, and automate, department by department. If you don't know what your team is already pasting into AI tools today, that's worth finding out before a client does.

Book a free 20-minute AI readiness call with Neovara — we'll map exactly where your team's AI use needs guardrails, before it costs you a client's trust.
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