// WHAT_AGENTS_DO
AI COWORKERS
Your team spends most of their time on work that isn't their actual job — chasing updates, drafting emails, scheduling meetings, compiling reports. AI copilots help individuals go faster. But the real cost is coordination. That's what agents solve.
An individual agent is a productivity tool. A network of agents that coordinate is an organisational capability.
// THE_IDEA
Every person gets a personal AI agent that knows their role, their tools, and their priorities. The agents autonomously draft, triage, research, and follow up. The humans review and decide. But here's the big thing: the agents talk to each other. Your agent contacts theirs. No diary tennis. No “just following up.” The coordination cost that dominates most organisations collapses. We call the platform Minerva.
[ TALK_TO_US → ]// THE_PLATFORM
Minerva
Minerva is our agent workspace platform — not a product you buy off the shelf, but a proven architecture we customise and deploy for your team. We adapt it to your domain, your tools, and your workflows, so your agents are useful from week one and get smarter every week after.
Personal
Every person gets their own agent — configured for their role, their tools, and their daily work. Not a shared chatbot. A dedicated coworker.
Coordinating
Your agent talks to their agent. Meetings get scheduled, information gets routed, follow-ups happen — without the humans playing telephone.
Governed
Every agent action has an audit trail. Agents start read-only. Humans approve before anything goes out. Security and IT are involved from day one.
Learning
Agents remember what worked, what didn’t, and what you prefer. The system compounds — smarter every week it runs.
// SEE_IT_IN_ACTION
A Workspace for Humans and Agents
Coding agents proved AI can do autonomous work. OpenClaw proved it works beyond code. We're building the same thing for enterprise knowledge workers — a workspace designed around your domain, your workflows, and your agents. Built first for biomedical researchers, it works in any knowledge-rich domain: equities research, due diligence, regulatory monitoring, competitive intelligence, underwriting.
// THE_FOUR_BIG_QUESTIONS
The Four Big Questions
// MISTAKES
What happens when an agent gets it wrong?
Agents start read-only. Every action has an audit trail. Humans approve before anything goes out. When something does go wrong, you can see exactly what happened and why.
// SECURITY
How do we secure this?
Isolated containers. Explicit permissions. No self-extending capabilities. Your security and IT teams are involved from day one — every concern addressed before a single agent goes live.
// COST
What does it actually cost?
Our sales agents cost ~$40/month in API fees and generate 3-5 qualified meetings per week. No software licences. The ROI is hours back, not a line item.
// REALITY
How real is this?
We run it ourselves for sales, ops, and research. Production software, real users, every day.
// GO_DEEPER
How We Think About AI Coworkers
Comprehensive Guide
The OpenClaw Ecosystem
Inside the fastest-growing open-source agent framework and what it means for enterprise. Architecture, ecosystem, and why it matters for the future of work.
[ READ_THE_GUIDE → ]
From the blog
OpenClaw and the Programmable Soul
What happens when you give an agent persistent identity, memory, and autonomy — and why it matters for enterprise.
Building a Production Multi-Agent System for Document Writing
A deep dive into the architecture of a system that uses 15 specialised AI agents to transform source materials into structured documents.
The 4 Levels of AI Agents
When to use workflows vs autonomous systems. Stop over-engineering simple problems and under-engineering complex ones.
Not a chatbot bolted onto Slack.
Let's Build Your
Agent Workspace
A managed, governed deployment where every agent action has an audit trail — and the whole system gets smarter every week it runs.
Map your domain
Workflows, knowledge assets, coordination bottlenecks, and where agents create the most value.
Build your workspace
Agents configured to your roles, connected to your tools, with security and IT involved from day one.
Watch it compound
Agents learn. Memory accumulates. The system gets smarter every week it runs.
What you get
- —A workspace designed for your domain, workflows, and knowledge assets
- —Agents configured to your team's roles and permissions
- —Full audit trail on every agent action
- —Security and IT sign-off before anything goes live
- —A system that gets smarter every week it runs