AI
OpenAI
A primary model provider for generation, reasoning and multimodal workloads.
AICopilots and assistantsDocument understanding
Where we use it
Workloads we build with OpenAI
Copilots and assistants
Document understanding
Agentic workflows
Strengths
Why we choose it
- Strong general reasoning
- Broad multimodal support
- Mature tooling
Considerations
What we watch for
- Data residency must be assessed
- Cost per task needs active management
Services using this technology
Industries where we deploy it
HealthcareClinical throughput, administrative relief and defensible data handling.ManufacturingConnected plants, predictable output, lower unplanned downtime.FinanceFaster decisions, defensible controls, lower cost to serve.GovernmentCitizen services, digitised process and auditable delivery.EducationAcademic operations, student experience and institutional reporting.LogisticsCost per shipment down, exceptions handled before they escalate.RetailDemand accuracy, margin protection and connected commerce.MiningSafety, asset uptime and site-to-corporate visibility.Real EstatePortfolio visibility, faster sales cycles, tighter project control.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.EnergyAsset reliability, consumption intelligence and compliance evidence.Professional ServicesHigher utilisation, faster delivery, protected margin.
Pairs well with
Downloadable guide
OpenAI engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.