Gartner logged a 1,445% surge in multi-agent inquiries — then predicted over 40% of agentic AI projects will be cancelled by 2027. The gap isn't building an agent. It's making agents coordinate, recover from failure, and plug into the systems your business already runs.
The autonomous AI agent market is worth around $11 billion in 2026 and heading for roughly $47–52 billion by 2030 — but most of the money spent so far has produced pilots that never shipped. Gartner even coined a term for the noise: "agent washing." Of the thousands of vendors claiming agentic AI, it estimates only around 130 are the real thing. Projects fail for the same handful of reasons: agents that can't coordinate, no governance or failure handling, no way to reach the CRM or database where the work lives, and a value case that was never modelled. We design against every one of these from day one.
We build on the Model Context Protocol (MCP) — originally Anthropic's, now donated to the Linux Foundation's Agentic AI Foundation and backed by AWS, Google, Microsoft, GitHub and others, with 10,000+ active public servers. Building on the vendor-neutral standard means your orchestration layer connects cleanly to your tools and won't be stranded by a single vendor's roadmap.
LangGraph, CrewAI, AutoGen — designed to coordinate, share context, and handle failure.
n8n and LangChain integration for the processes that run your business.
Connecting agents to your tools and data on the industry standard.
Grounded answers, plus the observability that makes agents trustworthy in production.
A focused single-workflow agent starts modestly and scales with autonomy and integration complexity; a full multi-agent orchestration system typically runs £30,000–200,000. Because the build is only 25–35% of a system's three-year cost — the rest is tokens, infrastructure, monitoring and retraining — we usually pair a build with a managed-service retainer so it stays reliable and cost-efficient after launch.
Thirty minutes, no pitch deck — an honest read on what's worth building and how fast we can get it live.