Editorial review: Async Innovations Engineering Team. Technical and market-sensitive claims are reviewed against primary documentation where available.
There Is No Single “AI Project Cost”
A generative-AI solution can...There Is No Single “AI Project Cost”
A generative-AI solution can be a focused internal assistant, a retrieval system over company documents, a customer-facing copilot, or an agent that can call business tools. Those products have very different engineering, evaluation, security and operating requirements, so a responsible estimate starts with scope rather than a headline number.The Six Cost Drivers That Matter
Product scope: number of workflows, roles and interfaces.Data: ingestion, cleaning, permissions, retrieval and refresh frequency.
Model strategy: hosted API, multiple-model routing, or specialized deployment requirements.
Integrations: CRM, ERP, ticketing, payments, databases and internal APIs.
Evaluation and safety: test sets, human review, hallucination controls, auditability and monitoring.
Operations: model usage, vector/search infrastructure, observability, support and continuous evaluation.
Separate Build Cost From Model Usage
Model usage is only one line item. Current providers price models differently by input/output tokens, caching, batch or priority processing and other capabilities. Because these prices change, use live provider documentation during estimation: OpenAI, Google Gemini, and Anthropic Claude.Any AED project ranges from an agency should be treated as planning estimates until requirements, integrations, data volume, security constraints and acceptance criteria are known. A prototype and a production system with permissions, monitoring, fallback behavior and operational support are not equivalent deliverables.
UAE Data Requirements Can Affect Architecture
If the system processes personal data, review applicable UAE privacy requirements, including the federal Personal Data Protection Law framework, before choosing storage, logging and cross-border processing patterns.A useful procurement brief should therefore request a breakdown for discovery, application engineering, AI/retrieval work, integrations, evaluation, infrastructure and ongoing support. Our AI development and custom software teams use that separation to turn an AI idea into an auditable implementation scope.