Frequently Asked Questions

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What timeline should I expect for a custom AI project?

Every project is different, but we typically shorten AI development cycles from months to weeks. Proofs of concept can often be delivered in 2–4 weeks, while full-scale deployments may take 3 to 9 months depending on complexity, data readiness, and integration needs.

What data do I need to get started?

AI is only as good as the data it’s trained on. We start by assessing your existing datasets, identifying gaps, and preparing them for AI readiness. If your data is fragmented or unstructured, we can clean, annotate, and structure it to meet enterprise and regulatory standards.

How complex is integration with my existing systems?

What ongoing support is provided?

AI isn’t “set and forget.” We provide continuous validation, monitoring, and performance checks to ensure your models remain safe, compliant, and effective. Our support includes model updates, adaptation to evolving business needs, and rapid-response local support across the GCC.

What results should I realistically expect?

Many customers ask about the actual impact. While results vary by use case, typical outcomes include reduced operational costs, faster processing times, improved compliance, and higher customer satisfaction. We define clear success metrics at the start—so you know exactly what value to expect and measure.

Where should I start if I don’t know which AI use cases fit my business?

You’re not alone—many organizations know they need AI but aren’t sure where to begin. We start by running discovery sessions to map your business objectives against proven AI use cases. From there, we design an AI roadmap tailored to your priorities, identifying “quick wins” for immediate value as well as longer-term strategic opportunities.

How do you ensure compliance and data sovereignty?

Data governance is a core part of our approach. We align with regional and global regulations (such as GDPR) and ensure sensitive data stays within the UAE and GCC when required. For government and enterprise clients, we offer full on-premise deployment, role-based access controls, encryption, and incident response planning—so you remain in control of your data at all times.

Do you provide experts or teams to support implementation?

Yes. Many clients prefer hands-on expertise, so we can deploy dedicated task forces (data scientists, AI engineers, and annotators) on-site or remotely. This ensures projects move quickly without requiring you to build a full AI team in-house. Our model combines advisory, implementation, and resourcing to meet your needs end-to-end.

Can your solutions work with both structured and unstructured data?

Absolutely. Most organizations hold valuable data in many formats (such as databases, cloud storage, drive storage like Google Drive, OneDrive, SharePoint, PDFs, emails, voice recordings, and images etc.). We help unify, clean, and structure this data so it can be used effectively in AI models. From text and image annotation to audio and video analysis, our methods are built to handle multi-modal data at scale.

How fast can I see value from a pilot project?

Speed matters. That’s why we typically design pilots that demonstrate tangible impact in weeks, not months. A proof of concept can often be live within 2–4 weeks, allowing you to test performance, validate outcomes, and build confidence before scaling further.

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