Agents that take real actions, safely, observably, within limits you set.
Design and deployment of autonomous AI agents and multi agent systems that can reason, plan, and execute complex workflows independently.
Agentic systems move AI from answering questions to taking action. Our AI agent development work covers single agents, coordinated multi agent systems and the MCP servers that connect them to your tools, so they can reason, act and complete real business workflows, with the monitoring and guardrails that make autonomy safe to ship.
A focused agent with clear goals, tools and memory. The right starting point for most workflows.
Specialist agents coordinated by a supervisor when one agent isn’t enough.
Safe, typed access to your APIs, databases and SaaS tools, including custom MCP servers.
Tracing, evals and policy checks that make autonomy safe to ship and easy to debug.
We don't bolt AI on at the end of a project. It's part of how we research, design, build, test and document every engagement, which is how a small senior team moves quickly without cutting corners. A person reviews everything the models produce.
Agent workflows are prototyped against your real tools early, and every step is traced, so failures show up in testing rather than in production.
With your permission, briefs, tickets, call notes and analytics exports go into a private workspace. LLMs map requirements, edge cases and open questions, so nothing said in a workshop gets lost. People run the workshops; the model keeps the record.
First-pass screens, flows and copy variants are generated from the spec, then shaped by our designers. Decisions happen on a clickable prototype instead of a document, and the final design system stays human-made.
Engineers work with AI coding assistants for scaffolding, tests and refactors. Every change is read by a person and scanned by Caudilysis, our own static analysis platform, before it merges.
AI features get an evaluation set built from real examples, and every model or prompt change is scored against it. Everything else gets generated test cases that an engineer reviews and keeps in the pipeline.
Documentation, runbooks and release notes are drafted with AI and checked by the team. After launch, monitoring and usage data feed straight into the next iteration.
The indicative shape of a first engagement. Phases overlap on purpose, so we start building while discovery is still sharpening the plan.
This is indicative only. Every engagement is scoped with you before it starts.
You have a repeatable, multi step workflow that spans several systems.
You need an agent to act, not just answer, with guardrails.
You want to expose internal systems to AI through MCP.
Not sure it fits? A free assessment will tell you
# Service manifest service: Agentic & Multi Agentic AI category: AI & Automation deliverables: • Single agent orchestration • Multi agent collaboration frameworks • Tool use & function calling integration • Agent monitoring & guardrails stack: • Model Context Protocol (MCP) • Claude Agents • Tool Calling • LangGraph • Autonomous Agents • Multi Agent Orchestration phases: 4 next_step: free assessment
A chatbot responds to messages. An agent is given a goal and tools (APIs, databases, other software) and decides which steps to take to reach that goal, checking results as it goes.
Agents only get the tools and permissions a task needs, high impact actions require human approval, step and spend budgets cap runaway loops, and every step is logged for review.
The Model Context Protocol is an open standard for connecting AI models to tools and data. MCP servers for your systems let any compatible agent or assistant use them safely, without one off integrations. Our MCP server development covers tool design, per user permissions, hosting and monitoring.
Tell us what you're building, improving or automating. We'll come back with an honest view of where AI agent development fits and the fastest path to production.
A quick word on cookies
We use a few to keep the site working and, if you're happy with it, to see which pages actually help people. Your call.