What's included
- Use-case workshop: where an agent saves time, and where it shouldn't be used
- Agents for support desks, IT operations, document processing, sales and internal knowledge
- Connected to your data and tools through APIs, with limits on what they may do
- Hosted or private models, chosen for your data-privacy needs
- Human approval for risky actions, logging of every step, accuracy testing before launch
- Monitoring and improvement after go-live
An agent with guardrails
Text version of this diagram
- Request → AI agent
- AI agent → Your knowledge and data
- AI agent → Action risky?
- Action risky? → Act through allowed tools (no)
- Action risky? → Human approves (yes)
- Human approves → Act through allowed tools
- Act through allowed tools → Log every step
Who it's for
- Support teams with repetitive questions
- Companies drowning in documents and emails
- IT teams wanting faster first response
What you get
- Use-case report with expected savings
- Agent connected to your data and tools
- Accuracy testing and approval steps
- Monitoring after launch
Questions
Will our data train someone else's model?
We choose services and settings where it doesn't, or run models privately.
How do we know it's accurate?
We test it on your real cases before launch and keep measuring.
What does an AI agent cost to run?
Running costs depend on usage and the model chosen; we estimate them in the use-case report.