Embedded discovery
KMayer observes the workflow, system dependencies and handoffs before recommending architecture or automation.
Forward Deployed Engineering
Forward Deployed AI Implementation for Production Workflows
AI pilots only matter when they can run safely in the business. KMayer works close to the workflow to connect Microsoft 365, Azure, internal tools, data sources and human review into controlled production use.
Move AI from demos to governed workflows with data access, review steps, monitoring and operational ownership.
Data access guardrailsHuman review checkpointsMonitoring and rollback
Client buying experience
From pilot to controlled production
AI is shown as a governed operating workflow with data, access, review and monitoring.
Microsoft 365Business context
AzurePlatform controls
Internal toolsWorkflow entry points
Data sourcesPermission-aware access
Human reviewApproval checkpoints
MonitoringUsage and exceptions
Production-minded build
Engineering work is shaped around security, rollback paths, monitoring, documentation and support.
Governed handover
Internal teams keep clarity on ownership, controls and how the system will be maintained after launch.
Remotion loop
AI production cockpit
The motion layer shows the engagement moving from uncertainty into a controlled operating path. It loads only when visible and stays quiet when reduced motion is requested.
HyperFrames buying experience
Walk through the delivery path
Use the frame controls to see how KMayer structures the engagement. Each step is keyboard accessible and works without third-party scripts.
Discover
Choose AI use cases from real workflow pressure, not generic demos.
Before and after KMayer delivery
Before
- Use FDE
- Use a normal project team
- Use advisory only
- Use managed service
After
- When AI, integration or automation depends on how people and systems really operate.
- When requirements are stable, dependencies are simple and implementation can be separated from daily operations.
- When leadership needs options, risk framing or architecture direction before funding delivery.
- When the main need is steady ownership after the environment is already defined.
Proof of operating discipline
What the buyer receives
Each engagement is shaped around practical artifacts, control points and the ability to operate after launch.
- Observe
- Map
- Build
- Integrate
- Govern
- Transfer
Explore the FDE family
Next step
Discuss a forward deployed engineering engagement
Move AI from demos to governed workflows with data access, review steps, monitoring and operational ownership.
Contact KMayer
