SM Stratagem builds ai integration services for Doha teams that care about deployment, evaluation, and monitoring — not just the demo that impresses the boardroom.
We build ai integration services for teams in Doha that need working software, not a slide deck for next quarter's steering committee. Qatar's LNG-funded economy rewards teams who can act on data quickly, and Doha operators tell us the same thing every quarter: less theatre, more delivery. So our default is integrating AI into the systems your business already runs on — CRMs, ERPs, help desks, product, measured and iterated before anything touches production traffic. By the time we hand over, the system is deployed on your cloud, monitored on your dashboards, and covered by tests your engineers can read. We work in your timezone, we speak the vendor landscape in Qatar, and we know which cloud regions actually keep data on-shore. What sets our ai integration services delivery apart is that the engineer who scopes the build is the same engineer who ships it and shows up at the go-live call. If you already know the outcome you want, we can scope the first release inside a week and start building the week after.
Buyers in Doha are done with pilots. What they want now is one production system, measured, running, and reducing a real cost line or lifting a real revenue line. That's the frame we work inside.
AI features inside the CRM, help desk, ERP, or product your team already uses every day — not another tool they have to remember to open.
AI reads context from your systems and writes back into them, so the system of record stays the source of truth. No shadow data in a separate AI tool.
Integrations that react to events — a new ticket, a stage change, a document upload — rather than sweeping through your database every hour. Faster and cheaper.
Every integration has a defined behaviour for when the AI is slow, wrong, or unavailable. The business process keeps running, and humans can see what happened.
AI that enriches account records, drafts outreach, and summarises calls directly inside Salesforce, HubSpot, or Dynamics.
AI that suggests responses, tags tickets, and surfaces similar past cases inside Zendesk, ServiceNow, or Freshdesk.
AI that pulls context from SAP, Oracle, or NetSuite, drafts responses, and writes structured updates back into the record of truth.
For QatarEnergy contractors, QFC-registered firms, and ministries in Doha, we deliver AI integration inside existing vendor frameworks and procurement rules. Compliance is a delivery input, not a surprise at UAT.
The big ones — Salesforce, HubSpot, Dynamics, ServiceNow, Zendesk, Freshdesk, SAP, Oracle, NetSuite, Odoo, Jira, Confluence, Slack, Microsoft 365, Google Workspace — plus most bespoke internal systems that expose an API or a stable event stream. If the system has an API we can talk to it; if it doesn't, we usually recommend building the API first.
OAuth or service accounts for API access, and — critically — we honour the permissions of the end user rather than the service account when writing back. If a user isn't allowed to see a record, the AI isn't allowed to summarise it for them. This is the single most common bug in AI integrations, so we test it explicitly.
Every integration has a defined fallback. For UI-facing features, the human sees a note and continues with their normal workflow. For batch integrations, failed items go to a queue for retry or human review. The business process never stalls because the AI is having a bad afternoon.
Yes. Most projects integrate with two or three third-party SaaS products and one or two internal systems — a data warehouse, a bespoke platform, a proprietary API. The engineering discipline is the same regardless of whether the target is a well-documented public SaaS or a legacy internal service: clean interface layer, careful permissioning, comprehensive monitoring, retries, and idempotency so nothing gets duplicated when a transient error triggers a retry.
A single AI feature inside one existing system is usually three to five weeks. Multi-system integrations that pull context from several sources and write to one system of truth take longer — six to ten weeks — because the surface area of things that can drift is bigger. We ship one system at a time so early value is real, not theoretical.
Yes. For large enterprise integrations where volume or latency matters, event-driven architecture through Kafka or a managed equivalent (AWS EventBridge, GCP Pub/Sub) is often the right shape. We build with the eventing pattern the client already uses, or set one up when it's missing and the volume justifies it.
Yes. Public-sector and energy-adjacent work in Doha typically requires sitting inside an existing vendor framework and delivering under strict procurement rules. That's the shape we default to. We don't take POC-only work in Qatar — it wastes everyone's time — so we scope for production from the start.
SM Stratagem builds computer vision development in Doha, Qatar. Vision for real environments. Edge or cloud, your call. Handles lighting and drift.
SM Stratagem builds ai consulting in Doha, Qatar. Strategy that ends in a build. Roadmaps you can budget. Vendor-agnostic advice. Pilots that get shipped.
SM Stratagem builds ai fine-tuning in Doha, Qatar. Fine-tuning that earns back cost. Smaller, cheaper, faster models. Evaluated against baseline.
SM Stratagem builds ai integration services in Sharjah, United Arab Emirates. AI inside the systems you already run. CRM, ERP, help desk, product.
SM Stratagem builds ai integration services in Riyadh, Saudi Arabia. AI inside the systems you already run. CRM, ERP, help desk, product. Book a scoping call.
We'll scope the first release, define the eval set, and give you a build plan you can hand to any engineering team — ours or yours.