The Inference Engine™
How Skygnosis ships production AI in 28 days — and why we’ve never missed.
Most AI agencies are project managers with prompts. We built a delivery system the way we’d build software: tested, repeatable, accountable. Inference Engine™ is the result of every system we’ve shipped — every phase has a deliverable, every deliverable has a checkpoint, every checkpoint has a guarantee.
The 4 Phases
Inference
Days 1–3
Discovery + decision graph. We ask 30 questions; you make 3 decisions; we lock the architecture. The output is a binding architecture spec — not a slide deck.
Compile
Days 4–7
Architecture artifact: agent topology, data sources, integration points, SLA targets, rollout plan. This document is the contract for what gets shipped.
Execute
Days 8–24
17 days of engineering. Daily Loom updates. Weekly demo. No silence. You see progress every day, not just at the end.
Deploy & Evolve
Days 25–28+
Production deploy + 30 days of post-launch monitoring + handover docs OR retainer transition. Your choice.
Ship in 28 days or the next sprint is on us.
We’ve never extended at our cost. We don’t intend to start.
What you get on Day 28
- Production-deployed agent
- Monitoring + alerting
- Runbook
- Handover doc
- 30-day support window
- Source code + IP ownership
Why this works
Most AI projects fail at the handoff between strategy and engineering. Inference Engine™ is one team, one timeline, one accountability. The discovery deliverable is binding. The architecture deliverable is binding. The engineering target is binding. No “phase 2.”