Offload AI — Agent Workforce

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.

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Visual workflow canvas showing a cold-to-close sales pipeline

A real pipeline: Research & Qualify → Draft Outreach → Review → Build emails in Smartlead → 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. Your system gets smarter.

The Platform

See It In Action

Real screenshots from real agent runs. No mockups, no Figma — this is what your team actually looks like.

Agent fleet panel showing 9 AI agents with roles, run counts, and learning stats

Your Agent Team

A full team of specialist agents — Orchestrator, Prospector, Researcher, Writer, Scout, Rep — each with their own skills and memory.

Dashboard showing 33 total runs, 52% approval rate, 15 knowledge items, 9 agents, and recent activity

Operations Dashboard

Real-time stats on every run: approval rates, knowledge items, agent performance, and cost tracking — all in one view.

Knowledge panel showing pending learnings with approve and dismiss buttons

Knowledge That Compounds

Agents extract learnings from every task. You approve the good ones, dismiss the rest. Your system gets smarter with every run.

Task board showing orchestrator breaking down a complex task into subtasks assigned to specialist agents

Autonomous Task Execution

The Orchestrator breaks complex work into subtasks and delegates to specialists. Each agent executes, verifies, and reports back.

Full Feature Set

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Kanban Task Board

Create tasks, assign them to AI agents, and track progress through a visual board. Inbox → Planned → In Progress → Review → Done.

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Autonomous Agent Execution

Agents run autonomously via Claude Code CLI. They read files, write code, run tests, and report back — no hand-holding required.

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Team Orchestration

An Orchestrator agent breaks complex tasks into subtasks and delegates to specialist agents. Like a project manager that never sleeps.

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Workflow Canvas

Visual DAG builder for multi-step workflows. Chain agents, API calls, webhooks, and MCP tools together. Execute with one click.

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Knowledge & Memory

Agents extract learnings from completed tasks. Approved learnings get injected into future runs — your agents get smarter over time.

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Cost Tracking & Budgets

Every run tracks token usage and cost. Set project budgets, see cost-per-agent breakdowns, get warned before you overspend.

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Verification Gates

4-tier verification: output checks, requirement coverage, error detection, and LLM review. Trust but verify.

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External Integrations

Connect MCP servers (Notion, GitHub, Slack), REST APIs, and webhooks. Agents and workflows use them directly — zero extra config.

Built With

React 19Express 5SQLiteClaude Code CLIMCP ProtocolNode 22Vite

Ready for Your Own Agent Team?

Agent Workforce projects start from £5k build + monthly retainer. We design the agents, deploy them, and manage them.

Most Agent Workforce clients start as AI Services clients first. See AI Services →

Get in Touch