AI Agent Development Services

AI Agent Development Services involve creating software that can understand requests, retrieve information, reason through defined steps, use authorised tools and complete tasks with suitable controls and human oversight.

A chatbot usually answers questions through predefined flows or generated text. An AI agent can also use APIs, search company data, maintain context, execute multi-step workflows and request human approval.

Cost depends on agent complexity, integrations, data sources, security and expected usage. A focused proof of concept costs less than an enterprise platform involving voice, RAG and multiple coordinated agents.

A focused AI agent may require four to eight weeks, while complex enterprise or multi-agent systems can take several months. Data preparation, integrations, evaluations and governance affect delivery time.

AI agents can automate support triage, lead qualification, document review, reporting, data entry, appointment booking, employee assistance and other structured processes involving information and software tools.

A RAG agent retrieves relevant information from approved sources before creating an answer. Retrieval Augmented Generation helps ground responses in private documents, policies and current business knowledge.

Yes. Agents can connect with CRMs, ERPs, support platforms, websites, databases and internal applications using secure APIs, webhooks, MCP servers or purpose-built integration components.

We work with OpenAI, Claude, Gemini and suitable open models. Depending on the use case, we may use LangChain, LangGraph, CrewAI, AutoGen, Python, FastAPI and Model Context Protocol.

MCP provides a standard method for AI applications to access tools and contextual data, simplifying controlled connections between an agent and approved databases, services or business applications.

We use grounded retrieval, clear instructions, structured outputs, restricted tools, citations and evaluation datasets. High-risk actions can also require validation or human approval before completion.

They can be when autonomy is limited according to risk. Permissions, audit logs, data controls, monitoring, validation and human approval help prevent inappropriate or unintended agent actions.

Yes. Voice AI agents can support bookings, qualification, customer service and follow-up. Solutions may include speech recognition, CRM updates, call summaries, operating rules and transfer to a person.

Multi-agent systems use specialised agents for responsibilities such as research, planning, execution and review. An orchestration layer manages how they exchange context, use tools and complete assigned work.

Yes, when the system applies suitable encryption, access controls, provider settings and data boundaries. Private RAG solutions can also include role-based retrieval and detailed audit records.

The right vector database depends on scale, hosting, filtering and infrastructure. We work with Pinecone, ChromaDB, Weaviate and PostgreSQL with pgvector, selecting the best fit for each project.

Healthcare agents can assist with scheduling, policy retrieval, administrative enquiries and document processing. They should support rather than replace clinical judgement and must follow appropriate privacy controls.

Real estate agents qualify leads, ecommerce agents answer order questions, finance and legal agents review documents, while education, manufacturing and logistics agents support knowledge and operations.

Yes. Support agents resolve common enquiries, sales agents research and qualify leads, and HR assistants answer policy questions, support onboarding and route sensitive matters to authorised employees.

We monitor answer quality, retrieval accuracy, tool calls, latency, token use, costs, errors and workflow completion. Logs and feedback reveal where prompts, knowledge sources or integrations need improvement.

ZakCodeX combines AI engineering with software, API, cloud and data expertise. We build agents around business outcomes while prioritising security, evaluation, maintainability and transparent delivery.