Onext designs, builds and integrates AI agents that handle real business tasks: answering customers, processing documents, updating CRM and ERP records and coordinating multi-step workflows, with the security, guardrails and human oversight enterprise teams need.
Weltweit zertifizierte, KI-unterstützte Entwickler
Anderthalb Jahrzehnte Expertise
98 % Kundenbindungsrate
We are an ISO 9001/27001-certified engineering partner that takes AI agents from prototype to production. We scope use cases against measurable ROI, connect agents to your real systems and data, and keep them reliable after launch.
How AI Agent Development WorksOur team brings deep experience in web, mobile, cloud and enterprise integration, the foundation every production-grade AI agent depends on.
We build agents with monitoring, evaluation, fallbacks and human-in-the-loop controls, so they keep working reliably once real users and data are involved.
We work with OpenAI, Anthropic Claude, Google Gemini and open-source models, choosing the right model and framework for each task, budget and data policy.
Many companies experiment with AI, but few get agents working reliably in production. These are the gaps we close.
Demos built in isolation break when they meet real data, edge cases and user load. We design for production from day one with testing, evaluation and observability.
An agent is only as useful as the systems it can access. We connect agents securely to CRM, ERP, knowledge bases, databases and internal APIs.
Unreliable answers erode trust. We use retrieval-augmented generation (RAG), guardrails, validation rules and human approval steps for sensitive actions.
AI agents handle sensitive data and act on your behalf. We apply role-based permissions, data masking, audit logs and ISO 27001-aligned security controls.
Most clients start with one use case and expand as results are proven. Every engagement draws on the same delivery team.
Conversational agents that answer questions, resolve requests and hand over to your team when needed, across website, app and messaging channels.
Agents that execute multi-step business processes across your tools, cutting manual work in operations, finance and back-office teams.
Internal assistants that search your documents, policies and data to give staff accurate, sourced answers in seconds.
Orchestrated teams of agents that plan, call tools and APIs, and collaborate on complex tasks inside your existing software.
A clear, structured process that takes your AI agent from idea to measurable business results.
We discuss your goals, processes and data to identify the AI agent use cases with the highest business value.
We map workflows, data sources and integrations, then build a quick proof of concept to validate accuracy and feasibility.
A dedicated AI and software engineering team is assigned, NDAs signed, security controls set up and access configured.
Short Agile sprints with regular demos, prompt and model evaluation, integration testing and user feedback.
Staged rollout, monitoring of accuracy and costs, continuous improvement and ongoing maintenance.
Wählen Sie das Modell, das zu Ihrem Team passt. Viele Kunden starten mit einem Projekt und wechseln dann zu einem dedizierten Team.
Our engineers work as yours, embedded in your stand-ups and board, scaling up or down month to month.
We deliver under your brand. Your client sees your agency; we stay invisible behind the NDA.
A defined build with a fixed scope, timeline and price, handed over complete with documentation.
Wir wählen den Stack passend zum Problem, statt jedem Projekt dasselbe Framework aufzuzwingen.
We combine leading AI models with proven engineering to build agents that are accurate, secure and cost-efficient.
GPT, Claude, Gemini, Llama and Mistral, selected and tuned for each task, language and budget.
RAG pipelines with Pinecone, pgvector, Qdrant or Elasticsearch to ground answers in your own data.
Secure deployment on AWS, Azure or Google Cloud, connected to your systems through APIs, webhooks and MCP.
Hier finden Sie Antworten auf häufig gestellte Fragen.
A chatbot mainly answers questions. An AI agent can also take actions: it uses tools and APIs to look up data, update records, trigger workflows and complete multi-step tasks, with rules and human approval where needed.
Yes. We connect agents to CRM, ERP, helpdesk, e-commerce platforms, databases and internal APIs, and we review all integrations before quoting so the scope and timeline are realistic.
Costs depend on the use case, integrations and required accuracy. A focused proof of concept can be delivered in a few weeks, while production agents with multiple integrations take longer. With Onext's delivery center in Vietnam, you benefit from competitive rates without compromising quality.
We ground agents in your data with RAG, apply guardrails and validation rules, restrict permissions by role, log every action and keep humans in the loop for sensitive decisions. Our processes follow ISO 27001 security standards.
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