AI Agent Development — Build Autonomous Agents That Work While You Sleep
We design, build, and deploy custom AI agents that handle complex multi-step tasks autonomously — freeing your team from repetitive work and giving your business a 24/7 digital workforce that never burns out.
Everything Your AI Agent Needs to Succeed
From architecture to production, we cover every layer of a robust agent system.
Multi-Agent Orchestration
Design and deploy fleets of specialised AI agents that collaborate — delegating sub-tasks, sharing context, and producing compound results no single agent could achieve alone.
Tool-Calling Agents
Equip agents with real-world capabilities: web search, code execution, email dispatch, database reads, and any REST or GraphQL API your stack relies on.
Memory & Context Management
Persistent short-term and long-term memory layers ensure your agents remember prior interactions, user preferences, and business rules across every session.
API & CRM Integration
Native integrations with Salesforce, HubSpot, GoHighLevel, and 500+ APIs so agents can read, write, and trigger actions directly inside your existing systems.
Monitoring & Observability
Full tracing, logging, and alerting dashboards so you always know what your agents are doing, where they stall, and how to optimise them over time.
Production Deployment & Maintenance
We handle containerisation, hosting, version control, and ongoing maintenance — your agent runs reliably in production from day one.
How We Build Your AI Agent
A proven four-step process from idea to production-ready autonomous agent.
Discovery & Workflow Mapping
We audit your current manual or semi-automated workflows, identify where AI agents create the most leverage, and define measurable success criteria.
Agent Architecture Design
We design the agent topology — choosing models, memory strategies, tool sets, and orchestration patterns best suited to your use case.
Build & Integration
We build, prompt-engineer, and integrate each agent with your data sources, APIs, and business tools, then stress-test edge cases thoroughly.
Deploy, Test & Monitor
We deploy to production, run end-to-end QA, set up monitoring dashboards, and provide ongoing optimisation as your workflows evolve.
Frequently Asked Questions
What is AI agent development?
AI agent development is the process of building software systems powered by large language models (LLMs) that can autonomously execute multi-step tasks — making decisions, calling external tools, and looping until a goal is complete — without constant human input.
What can AI agents do for my business?
Agents can handle lead research and outreach, automate support escalations, process documents, manage calendar and CRM entries, run competitive analysis, generate reports, and coordinate across departments — effectively adding a tireless digital workforce to your team.
Which AI models do you use?
We work with the leading frontier models including Anthropic Claude, OpenAI GPT-4o, and open-source alternatives like Llama 3. Model choice depends on your task's reasoning requirements, cost constraints, and data privacy policy.
How long does it take to build an AI agent?
A focused single-agent solution typically takes 2–4 weeks from discovery to production. Complex multi-agent systems with deep integrations can take 6–10 weeks. We provide a detailed timeline after the discovery session.
Do you provide ongoing support?
Yes. We offer retainer packages covering monitoring, model updates, prompt refinements, and feature additions as your business needs change. Most clients choose a 3-month minimum engagement for stability.
Ready to Deploy Your First AI Agent?
Book a free 30-minute consultation and we will map out exactly which workflows are ready for AI agent automation in your business.
Book Free ConsultationOr email us at contact.ladrai@gmail.com