AI & Automation
Build intelligent AI agents for your business
Agents that do the work, not chatbots that talk about it. Tool access, retrieval, and explicit limits on what they are allowed to execute.
Free AI Validation SprintHow we build your AI agent
Discovery & Requirements
We map your business workflows, identify bottlenecks, and define exactly what your AI agent needs to accomplish and which systems it must work with.
Architecture & Design
We design the agent's reasoning logic, tool integrations, data and retrieval pipelines, and safety guardrails for your specific use case.
Development & Training
We build the agent, integrate it with your systems and data, and refine its behaviour and accuracy against real tasks and edge cases.
Deployment & Optimization
We deploy to your infrastructure and continuously monitor, optimize, and iterate on cost and quality based on real-world performance.
How we ship AI agents to production
Integration & Tooling
We connect the agent to your systems, APIs and knowledge base, and define the tools it is allowed to call to get real work done.
Guardrails & Evaluation
We add safety guardrails, permissions and evaluation sets so agent behaviour stays reliable, on-task and within clear boundaries.
Testing & Hardening
We test against edge cases and adversarial inputs, then tune prompts, retrieval and fallbacks to keep the agent dependable in production.
Monitoring & Iteration
We deploy with logging and monitoring, track quality and cost on real usage, and iterate so the agent keeps improving over time.
AI agent capabilities we deliver
Autonomous AI agents
Agents that perceive their environment, reason about goals, and take independent actions in your systems without constant human input.
Agentic workflows
Multi-step AI processes that break complex business tasks into automated sequences, iterating toward a solution rather than a single reply.
AI chatbots & assistants
Conversational systems for customer support, sales and knowledge retrieval, with natural, context-aware responses.
RAG & tool-using agents
Agents with retrieval-augmented generation and API access: they search your knowledge base, query data, and call external tools.
Custom AI integration
We integrate AI agent capabilities into your existing software, APIs and infrastructure without disrupting operations.
Custom AI development
Every use case is different. We design and ship tailored AI agents on trusted technologies, not generic proprietary products.
Our case studies
See all case studies
Common questions
What is AI agent development?
Building autonomous software agents that perceive their environment, make decisions, and take actions in your business systems. Unlike chatbots that only respond to direct input, AI agents use reasoning and planning to handle complex, multi-step tasks.
What is the difference between agentic AI and a traditional chatbot?
Chatbots respond to input with scripted or retrieved answers. Agentic AI agents operate autonomously: they reason about goals, break tasks into steps, access tools and data, and iterate toward a solution.
How do you start building an AI agent for a company?
With a discovery session to map workflows, pain points and priorities, then architecture and integration planning, and an MVP to validate the approach before full deployment.
What models and technologies does Oligamy use for AI agents?
Leading LLMs (OpenAI, Anthropic and open-source models) and proven agent frameworks, with vector databases for retrieval, API integrations and monitoring, chosen to fit latency, cost and compliance needs.
How is data security handled for AI agents?
Agents are designed privacy-first: local processing where possible, encrypted data pipelines, and GDPR-aligned data handling, with agent logic kept auditable and transparent.
Contact Us!
Interested in building an AI agent or automating your operations with Oligamy Software? Contact us today to start a conversation.
Contact us: hello@oligamy.com