Automate tasks.
Keep control of the process.
AI agents connected to company systems and data to carry out defined tasks, record their actions and refer exceptions to the team. The level of autonomy is agreed for each process.
Decision: Match Found (Confidence: 99.8%)
Bounded autonomy.
Governance and auditable execution.
Language models should not make unsupervised operational decisions. We engineer agents with strict boundaries, dedicated tools, and deterministic safety policies.
The agent queries internal databases and APIs under least-privilege permissions, logs every action to an audit trail, and <b>requires human approval</b> for high-risk operations and edge cases.
- Least-privilege access and credential isolation
- Bounded context and decision auditability
- Human-in-the-loop sign-off for critical actions
What can they do?
Automated execution with human oversight where errors carry real costs. Operational throughput with technical governance.
Junior Data Analyst
Monitors SQL dashboards in real-time. If a metric goes off-pattern, it investigates the root cause, cross-references with system logs, and sends a preliminary report to the engineering team's Slack.
ObservabilityL1 Support Triage
Receives tickets, classifies severity, attempts to resolve known issues (password reset, order status), and if it fails, forwards to the correct human with summarized context.
Customer ServiceFinancial Conciliator
Reads bank statements and invoices (PDFs). Cross-references values. Identifies cent-level discrepancies and reports anomalies. Prepares the daily balance for CFO final approval.
FinanceWhere do we start?
We don't sell "black boxes". We build the solution with you in 4 weeks.
Mapping
We identify manual, repetitive processes based on clear rules.
Prototyping
We create an "MVP" in 15 days to prove value in a small scope.
Scaling
We expand the agent's capabilities and fully integrate it into the workflow.