AI Agent Teams
Your Own AI OperationsOperations Team
Built on Agent OS — our proprietary AI agent orchestration layer, powered by Claude.
We design and deploy AI agent teams for your specific workflows — research, write, schedule, chase, report. They execute autonomously, verify their own work, and get smarter over time.
A real pipeline: Research & Qualify → Draft Outreach → Review → Build emails → Analyse → Update CRM
How It Works
You create a task
Write what you need in plain English. Assign it to an agent or let the Orchestrator decide.
Agents execute autonomously
Agents spawn as Claude Code CLI processes. They read your codebase, write files, run commands, and use MCP tools.
Results are verified
4-tier verification checks the output. If it passes, the task moves to Done. If not, it gets flagged for review.
Knowledge compounds
Learnings are extracted from every completed task. Approved learnings feed into future agent runs.
The Platform
See It In Action
Real screenshots from real agent runs. No mockups, no Figma — this is what your team actually looks like.
Your Agent Team
A full team of specialist agents — Orchestrator, Prospector, Researcher, Writer, Scout, Rep — each with their own skills and memory.
Operations Dashboard
Real-time stats on every run: approval rates, knowledge items, agent performance, and cost tracking.
Knowledge That Compounds
Agents extract learnings from every task. You approve the good ones, dismiss the rest. Your system gets smarter with every run.
Autonomous Task Execution
The Orchestrator breaks complex work into subtasks and delegates to specialists. Each agent executes, verifies, and reports back.
Full Feature Set
Kanban Task Board
Create tasks, assign them to AI agents, and track progress. Inbox → Planned → In Progress → Review → Done.
Autonomous Execution
Agents run autonomously via Claude Code CLI. They read files, write code, run tests, and report back.
Team Orchestration
An Orchestrator agent breaks complex tasks into subtasks and delegates to specialist agents.
Workflow Canvas
Visual DAG builder for multi-step workflows. Chain agents, API calls, webhooks, and MCP tools.
Knowledge & Memory
Agents extract learnings from completed tasks. Approved learnings feed into future runs.
Cost Tracking
Every run tracks token usage and cost. Set project budgets, see cost-per-agent breakdowns.
Verification Gates
4-tier verification: output checks, requirement coverage, error detection, and LLM review.
Integrations
Connect MCP servers (Notion, GitHub, Slack), REST APIs, and webhooks. Zero extra config.
Built with
Ready for Your Own Agent Team?
AI Agent Team projects start from £5,000 build + optional monthly retainer. We design the agents, deploy them, and manage them.
Start with a free AI audit to see where agents fit. See All Services →
Get in Touch →