Custom AI development for workflows that don't fit a productised system.
Voice agents, customer service AI, industry-specific systems, governance tooling, AI-native product features, and multi-agent orchestration. Designed and built around your data, your stack, and your market.
Saqr Solutions is the AI implementation arm of Saqr Academy, the KHDA-approved applied AI institute in Dubai Media City.
The shift
The custom AI build market in 2026 looks nothing like it did 18 months ago. Foundation models are widely available. Agent frameworks are mature enough for scoped production use.
The difference between a working AI system and an unused one is no longer the model choice.
It's how well the system is integrated into your specific workflow, your specific data, and your specific market.
For most use cases, a productised system makes sense. That's what our four core systems are for. But certain situations need to be designed from the ground up. Either the workflow is unique to your industry, the regulatory context is unusual, the integration requirements are heavy, or the use case touches voice, vision, or another modality the standard systems don't cover.
That's where custom builds earn their place.
Common custom build requests
The categories below are the ones we see most often in GCC businesses. Yours may not fit neatly into one of them. Tell us about your situation and we'll tell you honestly whether a custom build is the right move.
- 01
Customer Service and CX Agents.
Resolution-focused agents that go beyond the deflection chatbot. WhatsApp commerce agents, booking and reservation systems, account management agents, post-purchase support flows. The tooling is there. The hard work is the integration with CRM, OMS, and the existing customer data, plus the fallback patterns that keep humans in the loop where they need to be.
- 02
Industry-Specific AI Systems.
Real estate listings intelligence, agent copilots, and lead-matching systems for brokerages. Contract review and compliance monitoring for law firms and in-house counsel. Patient intake and clinical documentation for healthcare networks. Concierge and personalisation for hospitality groups. Wealth management and family office tooling. Each industry has its own data shape, its own regulations, and its own definitions of value.
- 03
AI Governance and Compliance Tooling.
Regulated firms across DIFC, ADGM, and VARA are working out their AI register, risk classifications, and audit trails. We build the tooling that lets compliance teams hold the line: AI inventories, risk monitoring, audit logs, automated reporting, and the internal review systems that keep your AI estate explainable to regulators operating under DIFC Regulation 10 and equivalent frameworks.
- 04
AI-Native Products.
Companies adding AI as a core feature inside their own product, not just inside their operations. SaaS firms embedding AI into the user experience. Service businesses turning a manual offering into an AI-powered product. Marketplaces using AI for matching, pricing, or content. We design and build for production product environments where the AI is the customer-facing surface.
- 05
Voice and Conversational AI.
Voice agents for inbound and outbound use cases, internal voice assistants for field teams, and IVR replacement where the use case calls for it. Voice deployments in the UAE involve telecom regulations and SIP trunk approvals that vary by use case, and the regulatory path is part of every voice scoping conversation. Where the regulatory shape is workable, the technology is now production-viable in Arabic and English.
- 06
Multi-Agent Orchestration.
Still maturing, but production-viable in the right workflow. Workflows where multiple specialised agents coordinate to complete complex tasks: research plus writing plus distribution, lead generation plus qualification plus scheduling, document review plus drafting plus approval. The technology is real but the design is hard. Bespoke orchestration is where the real leverage lives.
How we approach a custom build
- 01
Step 1 · Two to three weeks
Scoping engagement.
We sit with you, map the use case, understand the integration requirements, review the regulatory context, and produce a written design with a feasibility view and a fixed-fee proposal for the build phase. If at the end of scoping we don't think a custom build is the right move, we'll tell you and recommend the alternative.
- 02
Step 2 · Eight to twenty weeks
Build.
Engineering sprint with weekly demos. Working software, not slides. The duration depends on the scope. We build with the same stack we use for our core systems (Claude, agent frameworks, MCP-based integrations, vector search, and the right tooling for your specific use case) and document everything for handover.
- 03
Step 3 · Embed
Training and operational handoff.
Training, change management, and the operational handoff. Same approach as the core systems: no engagement closes until your team can run it without us.
- Next
After the system is live.
Many custom build engagements continue as an ongoing Fractional Chief AI Officer arrangement, governing the live system, extending it as the business evolves, and holding AI strategy at the executive level.
What we look for in a custom build engagement
We don't take on every custom build that comes through. The engagements that work best for both sides have a few things in common.
A clear sponsor at the executive level who can make decisions and hold scope.
A use case that's specific enough to scope properly. "We want AI in the business" isn't a custom build. "We want a bilingual voice agent for our 50-person inbound sales team that integrates with our existing CRM" is.
A regulatory context we can navigate. We work in PDPL, DIFC, ADGM, and sector-specific environments comfortably. We don't take on engagements where the regulatory shape isn't workable.
A budget envelope appropriate for the scope. Custom AI development isn't the right starting point for organisations who haven't yet decided AI is worth the investment.
If your situation has these elements, we'd like to hear about it.
Frequently asked questions
Build custom when the workflow is unique to your industry (real estate listings, hospitality concierge, healthcare intake), the regulatory environment is unusual (DIFC Regulation 10 tooling, sector-specific compliance), the modality is non-standard (voice, vision, multimodal), or the use case is customer-facing inside your own product. Use one of the four core systems when the use case is internal and matches an established pattern (sales, operations, finance, knowledge).
Yes, in technology terms. The bigger question is regulatory. Voice deployments in the UAE involve telecom regulations and SIP trunk approvals that vary by use case, and the regulatory path is part of every voice scoping conversation we have. Where the regulatory shape is workable, bilingual voice agents (Arabic and English) for inbound calls, outbound campaigns, internal voice assistants, and IVR replacement systems are now production-viable.
Yes. AI register systems, risk classification frameworks, audit trail tooling, automated regulatory reporting, and the internal review systems compliance teams need to keep their AI estate explainable to regulators. We work in DIFC, ADGM, and VARA-regulated environments and have engagements that address Regulation 10 readiness.
Pricing depends on scope, integration complexity, governance requirements, and whether the system is internal or customer-facing. We start with a two to three week scoping engagement, then provide a fixed-fee proposal for the build itself. Custom AI development is the right starting point when there's a clear executive sponsor, a defined business case, and a budget envelope that matches the complexity of the work.
Eight to twenty weeks of build, plus two to three weeks of scoping at the front. Voice agents and customer service agents tend to be at the shorter end. Industry-specific systems and multi-agent orchestrations tend to be at the longer end.
Yes. Many of our custom build clients are companies adding AI to their own product, where the AI is a customer-facing surface. The work is delivered with full IP transfer and your branding throughout. We build, you ship.
Yes, often. Custom builds run smoother when your internal engineers are involved from the start, both for handover and because they know your existing systems better than we do at week one. We design the engagement around your team's involvement, with us holding the AI engineering and your team holding the integration and ownership.
A simple chatbot is rarely the right answer. The deflection generation of chatbots cost the industry a lot of customer trust. If you're looking for conversational AI that actually resolves customer issues, that's a Customer Service or Voice Agent build, not a chatbot. We can help you scope what you actually need in the first conversation.
Tell us about your project.
Send us a short note covering what you're trying to build, what's been tried already, the constraints you're working inside, and the timeline you're hoping for. We'll read it, get back to you within two business days, and either arrange a scoping call or point you to a better option.