We build custom AI agents that automate complex tasks, assist your teams, and handle customer interactions so your people focus on work that actually requires human judgement.
LangChain • LlamaIndex • AutoGPT • CrewAI • OpenAI Assistants API
AI Agent Development
AI Agent Development Services
What Is an AI Agent?
An AI agent perceives context, reasons about a goal, takes actions to achieve it, and adapts based on what it observes. This is meaningfully different from a basic chatbot or a rule-based automation. A well-built AI agent handles multi-step tasks, uses tools like APIs and databases, manages context across a conversation or workflow, and knows when to escalate to a human.
We build single-agent systems for focused tasks and multi-agent systems for complex workflows requiring multiple specialised agents collaborating. We also build copilots AI assistants embedded in your existing software that suggest actions, draft responses, and reduce cognitive load on your team.
Types of AI Agents We Build
Copilots
AI assistants embedded inside your existing tools suggesting actions, drafting content, summarising information, and making decisions faster without replacing the people making them.
Autonomous Agents
Agents that operate independently to complete multi-step tasks planning a sequence of actions, using tools, retrieving information, and adapting their approach based on what they encounter.
Multi-Agent Systems
Multiple specialised agents collaborating on complex workflows each responsible for a specific step, coordinated through a designed protocol. More capable for complex tasks, built carefully so they work reliably.Multiple specialised agents collaborating on complex workflows each responsible for a specific step, coordinated through a designed protocol. More capable for complex tasks, built carefully so they work reliably.
Our AI Agent Services
AI Agent Consulting & Strategy
Before building anything, we identify high-value use cases, assess feasibility, review your data and infrastructure, and develop a clear roadmap. We are honest about what AI agents can and cannot do our consulting helps you make an informed decision.
Use case identification and feasibility assessment
Agent architecture and design recommendations
Data and infrastructure readiness review
Implementation roadmap and cost-benefit analysis
Custom AI Agent Development
We design and build agents tailored to your specific requirements handling the full lifecycle from reasoning architecture and LLM integration through to memory management, tool configuration, and deployment.
LLM-powered task and workflow automation agents
Decision-making and recommendation agents
Research and information synthesis agents
Internal operations agents for HR, IT, and finance
Conversational AI Agent Development
We build multi-turn, context-aware conversational agents that go well beyond scripted chatbots understanding natural language, maintaining context, handling complex queries, and knowing when to hand over to a human.
Customer support and query resolution agents
Sales qualification and lead nurturing agents
Appointment scheduling and service booking agents
Internal HR, IT helpdesk, and knowledge base assistants
AI Chatbot Development
NLP and LLM-powered chatbots deployed on your website, mobile app, WhatsApp, Slack, or Teams integrated with your knowledge base, CRM, and backend systems so responses are accurate and relevant.
Customer-facing service and support chatbots
Multi-channel deployment web, WhatsApp, Slack, Teams
Intent recognition, entity extraction, and fallback handling
Chatbot analytics and conversation quality monitoring
AI Agent Integration
We integrate agents into your existing software ecosystem CRM, ERP, ticketing systems, and communication platforms using API architecture, microservices, and containerisation for reliable production deployment.
CRM, ERP, and enterprise system integration
Single-agent and multi-agent system design
Real-time data integration and event-driven agent triggers
Fine-Tuning, Optimisation & Monitoring
AI agents in production need to improve over time. We update prompt engineering, refine RAG pipelines, expand knowledge bases, and monitor performance continuously tracking task success rate, response quality, and drift.
Prompt engineering and systematic iteration
RAG pipeline and knowledge base optimisation
Real-time performance dashboards and drift detection
Latency and cost optimisation for production agents
Technology Stack
NLP & Conversational AI
spaCy • NLTK • Hugging Face Transformers • BERT • Rasa NLU • Dialogflow
Memory & State Management
Redis • Pinecone • Weaviate • Chroma • FAISS • SQLite
LLM Models
GPT-4, GPT-4o (OpenAI) • Claude (Anthropic) • Gemini (Google) • LLaMA 3, Mistral (open-source)
Agent Frameworks
LangChain • LlamaIndex • AutoGPT • CrewAI • AutoGen • OpenAI Assistants API • Microsoft Bot Framework
Deployment & Infrastructure
FastAPI • Docker • Kubernetes • REST APIs • WebSockets
Cloud Platforms
AWS SageMaker & Bedrock • Azure OpenAI Service • Google Cloud Vertex AI
Monitoring & Evaluation
LangSmith • PromptLayer • Weights & Biases • MLflow
Industries We Serve
Healthcare
Patient query handling, appointment scheduling, clinical documentation assistance, medication reminders, and administrative load reduction for clinical staff.
Finance & Fintech
Customer service agents for account queries, compliance monitoring, automated report generation, fraud signal processing, and internal operations assistants.
Retail & eCommerce
Order tracking and returns chatbots, sales qualification agents, product recommendation assistants, and inventory and supplier communication automation.
Logistics & Manufacturing
Predictive maintenance agents, operations monitoring, supply chain disruption alerts, delivery status query handling, and field operations support.
Education
Student query handling, administrative assistance, AI tutoring that adapts to individual learning patterns, and knowledge base agents for institutional staff.
Travel & Hospitality
Booking and reservation agents, itinerary management, multilingual customer support, loyalty programme query handling, and property management operations support.
How We Work
- 01. Requirement Gathering
- 02. Agent Design & Architecture
- 03. Development & Prompt Engineering
- 04. Evaluation & Testing
- 05. Deployment & Integration
- 06. Monitoring & Ongoing Support
We define the agent’s goals, scope its capabilities, and identify the data and systems it needs to access.
We design the reasoning architecture LLM selection, memory management, tool access, failure handling, and system integration.
We build iteratively with regular evaluation checkpoints. Prompt engineering receives as much attention as the code.
We test against defined quality metrics task success rate, accuracy, latency, hallucination rate, and edge case handling.
We deploy to your infrastructure with monitoring, alerting, and logging configured from day one.
We monitor performance continuously, identify improvements, and provide structured post-deployment maintenance.
Why Web Chip Armor
Genuine AI agent expertise
Our developers understand LLMs, agent architectures, NLP, and the practical challenges of deploying AI reliably in production. Not generalists learning on your project.
Production-grade engineering
Clean, documented, testable code with proper architecture. The agents we build are maintainable not dependent on the original team to keep running.
Evaluation built in from day one
We define success metrics before we build, measure throughout, and deliver agents with monitoring in place. You know whether it's working.
Agile delivery with real visibility
Structured sprints, regular deliverables, and clear communication. You see working software at each stage no large untested system at the end of a long engagement.
NDA signed before any project discussion
Your business requirements, data, and code remain strictly confidential throughout and after the engagement.
Measurable results, not just deployment
The goal is not a running agent. The goal is an agent that demonstrably improves the metric it was built to improve.
Frequently Asked Questions
What is the difference between an AI agent and a chatbot?
A basic chatbot follows scripted flows and handles expected inputs. An AI agent understands natural language, maintains context, takes actions like querying databases or calling APIs, makes decisions based on context, and handles unexpected inputs gracefully. An agent manages complex, multi-step interactions in a way a scripted chatbot cannot.
Can you integrate AI agents with our existing systems?
Yes. CRM, ERP, ticketing systems, communication platforms, and data sources integration is a core part of what we do. An isolated agent that cannot access your actual data has limited value. We use REST APIs, WebSockets, and microservices patterns to ensure reliable integration within your existing infrastructure.
How do you handle data security and privacy?
Encryption in transit and at rest, strict access controls, audit logging for agent actions, and privacy-by-design architecture. For sensitive data we recommend Azure OpenAI Service or AWS Bedrock for enterprise privacy guarantees, or self-hosted open-source models in your own infrastructure.
How long does an AI agent project take?
A focused customer support chatbot typically takes six to ten weeks. A multi-agent workflow with complex integrations may take three to six months. We give you a realistic timeline after a discovery conversation where we understand your requirements properly.
What does it cost?
It depends on the complexity of the agent, the number of integrations, and the engagement model. We provide a detailed, transparent estimate after the discovery phase. We offer both fixed-price project and dedicated team models.
Do you provide support after the agent is deployed?
Yes. Ongoing maintenance is a core part of our offering model and API updates, knowledge base maintenance, performance monitoring, and capability improvements. AI agents are not fire-and-forget deployments.