Operational triage
Agents correlate alerts, telemetry and history, propose a diagnosis and route it — with a human approving remediation.
Solutions
Our experience is strongest where AI has to work with real systems, real signals and real consequences — environments with distributed assets, operational technology and strict security requirements.
Markets
Service operations, internal knowledge, ticket triage and change workflows.
Systems where agent authority must be tightly bounded and every action evidenced.
Distributed assets, telemetry-rich fleets and field operations knowledge.
Networked charging assets, uptime operations and multi-party integrations.
Operational signals across fleets, schedules, locations and maintenance.
Autonomous systems that need operational context and governed actions.
Device fleets, sensor streams and relationships between physical assets.
Agent-assisted detection, investigation and response with human approval.
Infrastructure metrics, capacity, incidents and runbook-driven operations.
OT environments where safety, segmentation and least privilege come first.
Multi-tenant agent features with tenant isolation and auditability.
Solution patterns
Every engagement is custom, but the most valuable systems tend to follow a few patterns. The Architecture Sprint determines which — if any — fit your organization.
Agents correlate alerts, telemetry and history, propose a diagnosis and route it — with a human approving remediation.
Captured field and engineering expertise answers operational questions in context of the specific asset and its state.
Repetitive changes, tickets and workflows executed by agents under least-privilege permissions and full evidence.
Specialist agents gather evidence across logs, identities and network data to accelerate analyst decisions.
Next step
Let's determine whether it is worth building. Every engagement starts with an Architecture Sprint that ends in an explicit Go / No-Go recommendation — and sometimes the right answer is "don't build it yet."