Generative AI
Drafting, rewriting and structured generation inside your product.
Artificial intelligence
AI Development & Automation Solutions
AI is useful when it is attached to a real process: answering from approved documents, extracting fields from files, drafting a first response, routing a ticket, or summarizing an internal knowledge base. It is not useful as a slogan on a homepage.
ZEH Technologies designs AI features as software: data sources, permissions, evaluation, logging, human fallback and an interface people will actually use. We do not promise human-level intelligence, guaranteed ROI, or accuracy rates we cannot measure in your environment.
The work covers generative AI, AI agents, AI chatbots, RAG, knowledge assistants, business automation, LLM integrations, document intelligence, AI search, workflow automation, AI APIs, data extraction, customer support AI, sales assistance and internal knowledge systems.
AI agents
Tool-using assistants that follow a defined workflow, not an open-ended persona.
AI chatbots
Support and website assistants grounded in your content.
RAG / knowledge systems
Retrieval over your documents with citations back to sources.
Document intelligence
Classification, extraction and summarization of business files.
LLM integrations
API connections, prompt management and safety constraints.
Workflow automation
Triggers, queues and handoffs into existing software.
AI search
Findability across policies, tickets, SKUs or manuals.
The business problem AI should attack
Companies waste time searching for the last version of a policy, re-answering the same customer question, copying fields from PDFs, or assembling weekly reports by hand. Those are bounded problems. They can be measured: time spent, error rate, backlog size.
Unbounded problems—“replace the team”, “autonomous company”—are not how we scope work. We pick a workflow, a dataset, a user, and a definition of done.
How we implement AI
Most projects start with data: where it lives, who may see it, how fresh it is, and how it will be updated. Then we choose retrieval, tools, and the model interface. Then we build the product surface—chat, inbox sidecar, back-office job, or API.
Evaluation is part of delivery: a sample of questions or documents, expected answers, and a review loop. If the system cannot show its sources for knowledge work, we treat that as a product defect, not a personality trait.
Where AI sits in your architecture
AI features almost always need a backend: authentication, file storage, job queues, audit logs. See API & backend development. The public site or app is only one client of that system.
For outcome-led views, use the AI solutions hub. For how we build, stay on these service pages.
AI development services
AI agents
Custom agents for research, support, reporting and internal workflows.
AI chatbots
Support, knowledge and multilingual assistants.
Generative AI
Product features that draft and transform content.
RAG development
Grounded answers from your own knowledge.
AI automation
Connect models to the rest of the business process.
LLM integration
Models, APIs and controls inside existing software.
Document AI
Extraction and understanding of business documents.
Related services
Related solutions
Related work
FAQ
Questions companies usually ask.
What is custom AI development?
Building AI features around your data, permissions and workflows rather than dropping in a generic chatbot widget.
Can AI integrate with our existing software?
Yes, through APIs, webhooks and backend jobs. Integration quality depends on the other system’s API.
What is an AI agent?
Software that can call tools and follow steps toward a goal, with limits. It is not a person and should not be described as one.
What is RAG?
Retrieval-augmented generation: the model answers using retrieved passages from your knowledge sources. See the RAG page.
Can you build an internal company AI assistant?
Yes. That is usually a RAG or agent system with SSO, roles and audit logs.
How long does an AI project take?
A focused pilot can be weeks. A production assistant with evaluation, permissions and integrations takes longer. We estimate after seeing the data and systems.
Start a Project
Discuss this with ZEH Technologies.
Share your current system, audience and constraints. We will recommend a practical next step.