AI for critical infrastructure and energy operations.
For utilities, energy producers, grid operators and renewables. Agents work inside runtime policy, operational data stays under your control, and consequential actions need human approval.
- Operational data stays under your control
- Agents cannot act outside policy
- Audit trail for every action
Asset maintenance planning
Prioritised work, reviewed by engineers.
Problem: maintenance teams work across inspection reports, sensor feeds and work orders held in separate systems. Agent: reads approved asset records and drafts a prioritised work plan. Control: read-only access to operational systems; creating or changing work orders needs engineer approval. Outcome: planners start from a reasoned draft with sources shown.
- Read-only access to operational systems
- Engineer approval for work orders
- Sources shown with each priority
Outage and incident response
Prepare the response, keep the operator in charge.
Problem: during an incident, operators must gather alarms, procedures and history quickly. Agent: assembles context and drafts a response checklist from approved procedures. Control: the agent has no ability to issue control commands; escalation and approval are policy-defined. Outcome: faster situational awareness with a record of what was suggested and decided.
- No control-command authority
- Escalation rules set by policy
- Full record of suggestions and decisions
Regulatory and compliance reporting
Reports drafted with their evidence attached.
Problem: reports draw on data from many teams and have to be traceable. Agent: collects the inputs and drafts the report. Control: each source and model used is logged, and a named reviewer signs off before submission. Outcome: reviewers check evidence instead of assembling it.
- Source and model logged
- Named reviewer before submission
- Traceable from data to report
Energy knowledge and field support
Procedures and manuals, answered from your own documents.
Problem: field and control-room staff search large document sets under time pressure. Agent: answers from internal manuals and procedures through Cortex. Control: answers only from material the person may see, with sources cited. Outcome: staff reach the right procedure faster, and every query is auditable.
- Respects existing access rights
- Sources cited with answers
- Queries are auditable
Data and sovereignty considerations
Compliance-by-design: Swfte provides the technical controls, governance mechanisms and evidence needed to deploy AI within your applicable regulatory, security and policy requirements. The exact posture depends on your use case, jurisdiction, deployment and configuration. See the trust page for what is true today.
Operational data control
Designed so you decide where operational and asset data lives and who can reach it.
Private and air-gap-minded deployment
Designed to run on infrastructure you control, including dedicated and hybrid setups. Scoped with you.
Supply-chain visibility
Know which models, vendors and dependencies sit behind each agent.
Evidence on demand
Traceability from data to model to agent to decision to action.
Frequently asked questions
Not by default. Agents are given only the permissions you grant. Control authority over operational technology is outside what the platform grants unless you configure it, and consequential actions can require human approval.
Customer data is stored in AWS Ireland today. The platform is designed to let you choose private, dedicated or hybrid deployment and your data location. Talk to our team to scope it.
No certification is claimed. Swfte provides the technical controls, governance mechanisms and evidence to deploy AI within your applicable requirements; the exact posture depends on your use case, jurisdiction, deployment and configuration. See the trust page.
One platform, built for control
Sovereignty
Control over where and how AI runs, and over the data, models and agents inside it.
Governance
Runtime policy, human approval and an audit trail across every layer.
Governed agents
Agents that act within limits you set, and leave evidence of what they did.
Swfte Connect
The model gateway and routing layer, designed to run in your own cloud, VPC or data centre.
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