AI Agents & Automation
Automate repetitive tasks with defined permissions and human oversight.
Workflow completion with human control
Agents read documents, call permitted systems and perform multi-step workflows. We start with one well-defined process, measured before and after, and only extend to another once the first is tested on real cases.
We limit permissions to the minimum, validate extracted values and require human approval before any action that cannot be undone, such as payments, outgoing email or deleting records. Emails, attachments and web pages that arrive from outside are treated as untrusted. Models and integrations can make mistakes, so we test on real cases before go-live.
Every action is logged and, wherever possible, can be undone. The Model Context Protocol (MCP) connects the agent to tools and data sources through compatible connectors.
What we deliver
- Custom AI agents for specific functions: finance, customer support, procurement, HR, or legal
- Document reading and extraction (invoices, contracts, forms), validated on real test cases
- Multi-agent orchestration with clearly defined responsibilities and authority boundaries
- Integration with ERP, CRM, ticketing, databases, and internal or external APIs
- Configurable human approval workflows for high-risk or high-value decisions
- A log of every agent action, for traceability and audits
- Interoperability via Model Context Protocol (MCP) for connecting heterogeneous systems
- Stress testing, red-teaming, and performance evaluation before go-live
- Continuous monitoring of task completion and anomaly detection
TechnologyFor the technically curious
Agent frameworks
LangGraph · Microsoft Agent Framework
Interoperability
Model Context Protocol (MCP) · Agent2Agent (A2A)
Durable workflows
Temporal
Document AI
Docling · PaddleOCR
Evaluation & tracing
Langfuse · OpenTelemetry · Inspect AI