AI Implementation · Ho Chi Minh City
We implement, manage, and monitor production AI.
Senior engineers who build enterprise AI systems, available as your team. Agents, retrieval, data platforms, and the operations that keep them running, for enterprise and mid-market companies.
What we deliver for clients on OpenAI.
An OpenAI Select Partner in the OpenAI Partner Network. We help customers build, deploy, and scale AI solutions with OpenAI. Model choice stays yours.
Production systems on the OpenAI API
Agents, retrieval, and tool-calling systems built, evaluated, and run in production.
ChatGPT rollout for the organisation
Workspace setup, use-case activation, and enablement for ChatGPT at company scale.
Codex in engineering teams
Codex introduced into developer workflows with an operating model and controls.
Use-case discovery and qualification
Which processes fit an OpenAI-based system, and the case for each, before anything is built.
Hosting and migration decisions
OpenAI API or Azure OpenAI, data residency, and moving from other providers or older models.
Operations after go-live
Monitoring, evaluations, cost control, and model upgrades as new OpenAI releases ship.
How we engage
Two engagement models, one accountable team.
Choose the model that fits the work. The engineers and the systems underneath are the same in both.
A managed AI engineering team, led by an Engineering Manager who owns the outcome.
- You meet the Engineering Manager first. They scope the work and own delivery.
- Senior AI engineers shortlisted into your portal for you to review and interview.
- Month to month, 30-day notice, 14-day replacement window.
- Published pricing, IP assignment, and NDAs handled in-platform.
The engineering team behind your advisory or service business.
- We build what you recommend: under your brand, co-branded, or disclosed.
- You hold the client relationship and the contract. We handle the engineering.
- Resell at your own margin, or refer for a fee.
- Non-circumvention signed. We do not approach your client.
Services
Every service we deliver, in the order a system gets built.
From the first agent to steady-state operations. Each service is a scoped engagement with its own team and deliverables.
Build
Agents, automations, and complete AI products, taken from scope to production.
Scale
The integration, model, and data work that lets an AI system hold up under real load.
Manage
Operating, governing, and steering AI systems once they are live.
- AI Model Monitoring & MaintenanceObservability, drift detection, and retraining for live systems.
- AI Ethics & GovernanceGuardrails, audits, and compliance for regulated deployments.
- AI Consulting & StrategyUse-case discovery, architecture, and a roadmap you can act on.
- AI Transformation PartnerA standing engineering partner for multi-quarter AI programs.
Generative AI use cases: Agentic AI, Conversational AI, Enterprise RAG, AI-Powered Search, Multimedia AI.
Selected work
Delivered engagements, with the numbers.
Recent work across operations, product, and leadership programs. Each case lists what was delivered and what changed.

Equipping an FMCG leadership team to run its own AI program

Building the agent platform that became Firedesk

Repositioning and rebuilding a prompt-testing platform for mixed teams

Automating bookings and driver coordination over WhatsApp




Start a conversation
Scope your next AI system with the engineers who will build it.
A discovery call with an engineering lead: your goals, your stack, and the shortest credible path to production.
- 30 minutes, with an engineering lead
- The problem, the current stack, the constraints
- Comparable systems we have shipped, and a direct assessment
- A recommended engagement model and next step
Community
The Magnitudeminds AI Collective is a community initiative connecting technical experts with enterprise and mid-market leaders. It publishes AI news, community updates, and events at aic.magnitudeminds.com. Recent items are on our news page.
Events and workshops
Sessions with practitioners and the companies building the models, in Ho Chi Minh City and online.
News and updates
A digest of what is moving in AI, written for operators and engineers.
A network of practitioners
Technical experts and enterprise and mid-market leaders implementing AI now, comparing notes.



