// FORWARD DEPLOYED AI PODS

Deploy a defined AI use case with a Solertiq FDE pod.

When the use case is clear but production delivery needs senior AI execution, Solertiq provides the FDE pod, works inside your systems, and transfers ownership back to your team.

// Delivery and Handoff
1 // Scope

You keep the product direction, approvals, and long-term owner.

2 // Ship

A scoped pod handles architecture, implementation, evaluation, and production hardening.

3 // Handoff

Your team receives the code, decisions, runbooks, risks, and backlog.

Solertiq FDE pod delivery
// WHEN THIS FITS

Use an FDE pod when the use case is real and delivery needs depth.

The use case is real

The work is tied to a real commitment: deployment, integration, evaluation, reliability, or platform ownership.

The workflow needs production depth

The business needs more than a prototype: secure data paths, release controls, monitoring, evaluations, and supportable code.

Your team can inherit the work

You have an internal owner who can provide access, context, and decisions needed for a clean transfer.

// INCLUDED IN THE HANDOFF

Your team inherits a production workflow, not a black box.

Customer-owned code and infrastructure configuration
Architecture decisions and rejected alternatives
Evaluation results and production benchmarks
Deployment and incident-response runbooks
Prioritized backlog and open-risk register
Recorded walkthroughs and pairing sessions
// FIRST STEP

Decide what the FDE pod should ship.

Share the use case, blocked workflow, and target date. The assessment will recommend a focused sprint, FDE pod, or no external engagement.

Map an FDE Pod

Tell us the use case, blocked workflow, and target date. We will recommend the smallest pod that can ship the workflow and transfer ownership.

Assessment first. Production starts only after scope validation.