Scope the tracks
Confirm selections, name stakeholders, lock success criteria per track.
Embedded AI architects and Claude engineers, scoped to what you need, for as long as you need them.
Most teams can get a Claude demo running. Far fewer get it into production, into the hands of the whole organization, and owned by their own people. That gap is where good AI programs stall.
A Caylent FDE Pod closes it. We embed a small team of Forward Deployed Engineers directly inside your sprints, standups and channels. You pick the topics that matter most. You pick the commitment: 3, 6 or 9 months. We build real things alongside your team, and hand over ownership by the end of the term.
No fixed bundle. No help-desk queue. No black box.
Choose what to build and how long to build it. Governance and handoff come built in.
Choose one or more topic tracks from the menu below across engineering, data, enablement and governance. The pod is staffed to match.
3, 6 or 9 months of embedded capacity, structured around your rollout timeline.
We define scope and cadence together, then finalize investment once tracks and term are confirmed. No pricing assumptions baked in until scope is final.
Every track ships with governance built in, not bolted on afterward. Scoped IAM roles, a data boundary that never leaves your environment, and spend visibility from the first sprint.
Confirm selections, name stakeholders, lock success criteria per track.
FDEs matched to your tracks, pulling in engineering, data, enablement or governance specialists as needed.
Weekly working sessions and async progress in between. Real artifacts shipped into your environment.
Capability, documentation and governance handed to your team by the end of the term.
Forward Deployed Engineering Pods
Confirm your tracks and duration, and we'll return a staffing plan, a detailed statement of work, and investment aligned to that scope.
Get in touch