Responsible AI enablement
Choose a useful case, apply bias mitigation and guardrails, add Human-in-the-Loop review and help staff take it on.
Forward Deployed Engineering
Engineers who sit with the problem and ship the work.
Our engineers join the team to deliver AI enablement and integrations inside the systems, controls and deadlines already in place.
The model
Inside the work, with a clear outcome.
A Forward Deployed Engineer works directly with programme owners, Subject Matter Experts (SMEs), operations, security, vendors and technical teams. Approved requirements and user stories become working systems.
The work may involve cloud computing, an API integration, a legacy system or data silo, a Responsible AI workstream, an MVP or a blocked phase of municipal technology delivery.
Where we help
AI, integrations and stuck delivery work.
The engineer works inside your existing systems, controls and team structure.
System integration
Connect APIs, line-of-business systems, data sources, cloud services and human review steps.
Pilot to production
Add the tests, controls, monitoring, documentation and owner a prototype needs before wider use.
Delivery recovery
Untangle blocked requirements, settle vendor gaps and give the team a workable path forward.
Typical engagement
A defined workstream with a finish line.
Engagements are shaped around:
- A named operating outcome
- Defined systems and stakeholders
- Data, privacy, security, and compliance constraints
- Decision and human review checkpoints
- Documentation and knowledge transfer
- Clear support and ownership boundaries
Responsible delivery boundary
AI-enabled work remains subject to approved use cases, data handling requirements, human review, and client-specific controls. Sensitive use cases may be adjusted, restricted, or declined.
Start with the work
Need an engineer inside the work?
Tell us the outcome, the systems involved and where delivery is stuck.