Deployed
Agents ship inside operational cells with a designated AI Team Leader. You brief the Leader, the pod does the work and reporting comes back to you through one channel.
AGENT ][ worker pods
Computer-use agents.
Secure AI agents that operate inside structured execution environments with AGENT Memory behind them. They use software the way a person does, remember how your business runs and stay under strictly defined policy controls, so the work gets done without fragile API builds.
AI that executes, not just responds.
Most AI tools generate content. Computer-use agents execute tasks.
Our worker pods are groups of computer-use agents operating inside secure virtual environments. They interact directly with authorised business systems, with their fellow pod workers and with their designated AI Team Leader, who is under your direction. All agents are governed by strictly defined policy controls.
Behind every pod sits AGENT Memory: a proper, context-aware memory kept separate from the model, so agents recall how your workflows run instead of starting from zero and the base LLM can swap without losing a thing.
Inside those boundaries they can:
- Navigate software interfaces
- Update records, where allowed
- Send communications, where authorised and directed
- Process structured workflows
- Trigger automations
- Process data
- Generate reports
This is execution infrastructure, not a chat interface.
Structured execution layers.
Each engagement is scoped to a defined workflow. Agents execute only against the tools and permissions agreed up front.
How they operate
- Controlled system access
- Logged activity
- Defined permissions
- Guardrail and policy enforcement
- Secure outbound actions
- Isolated execution environments
Infrastructure controls
- environment isolation
- activity logging
- policy control
- agent persona
- server backups
- firewall configuration
- request policy
- CVE monitoring
- breach detection
- patch management
- anomaly watch
- regional governance
- access management
- secure credentials
- RBAC
Deployed inside operational cells.
The Team Leader co-ordinates execution. Worker agents perform defined tasks. You communicate only with the Team Leader, not with individual agents.
- team-leader/ One AI Team Leader per team: your single point of contact, co-ordinating agents, assigning tasks and maintaining reporting.
- worker-pod/ 3-6 computer-use agents executing defined workflows against authorised systems.
- tasks-connectors/ Pre-built tasks and connectors that give the pod its capabilities. No custom builds required.
- governance/ Structured governance files defining boundaries, permissions and policy controls for every agent.
What can my computer-use agents really do?
Capabilities are enabled through pre-built tasks and connectors. No custom builds required.
- Reconcile financial records
- Update CRM systems
- Process inbound support tickets
- Execute outbound sequencing
- Monitor compliance deadlines
- Generate structured dashboards
- Run scheduled reporting routines
Powered by tasks and connectors.
These connectors work like the automation platforms you know, but operate within secure, governed infrastructure.
- API integrations
- trigger-based automation
- scheduled routines
- data enrichment connectors
- CRM integrations
- reporting modules
Shift from oversight to output.
Computer-use agents remove repetitive execution from your human teams. Instead of managing workflows, your team defines objectives.
Infrastructure
Consumer automation tools run inside unsecured browsers. Computer-use agents operate inside hardened infrastructure environments. This is operational infrastructure, not a plugin.
Activation
Activate pre-built tasks and connectors that can run while you sleep, eat, play sport or work on more important business.
See computer-use agents on your own systems.
Contact us and we reply within one business day. No sales calls unless you ask for one.