£40/ month
- Role-based agent across your approved tools
- Persistent workspace knowledge and context
- Integrations and tool execution
- Scheduled tasks, reports, and check-ins
- Human approval controls and audit log

Pricing
Begin self-serve with a Team plan and shared workspace credits, then move to a custom enterprise engagement when you need on-prem GPU, deep integrations, and SLAs.
The Team plan scales by monthly credit volume. Enterprise pricing depends on deployment model, number of agents, integrations, security requirements, model usage, and support level — scoped around measurable business value.
Plans
Start with a workspace agent, pick the monthly credit volume your team needs, and move to enterprise scale whenever you are ready.
£40/ month
Custom
Flexible pricing for scale
Contact salesEverything in Team, plus:
How credits work
No markup on what the models charge — and smart caching brings the cost down further.
Every credit maps to what Anthropic, OpenAI, and other providers actually charge. There is no platform fee layered on top — you would pay the same going direct.
BlueMouse caches context and reuses results across tasks. Repeated workflows cost fewer credits than calling the models fresh every time.
Scheduled automations (crons) run on credits too, so how often they run is what drives the cost. You set the cadence.
Enterprise engagements
When you outgrow self-serve credits, these engagements take you from first workflow to a managed AI workforce — each scoped around measurable business value.
Best for companies that want to identify where AI agents can create value.
Best for teams that want to test one high-impact workflow.
Best for organizations ready to deploy production AI agents.
Best for companies that want continuous support, improvements, and expansion.
For teams that need on-premise GPU, dedicated off-site GPU, managed private cloud, or hybrid deployment support.
For commercial APIs, cost depends on token usage, provider pricing, model choice, data handling, and throughput needs.
Cost factors
Pricing changes with the number of agents, data sources, system integrations, fine-tuning needs, approval flows, dashboards, and support level.
On-premise GPU, private cloud, dedicated off-site GPU, and commercial API usage each create different cost and control profiles.
Right-sized scope
We will help you estimate the effort, deployment model, operating cost, and expansion path before you commit.