Months 1–2: represent the work.
Define identity, projects, permissions, event capture, object storage, dataset versioning and security boundaries.
Twelve-month execution sequence
PDICON Intelligence’s execution sequence begins with workflow data and security, adds reproducible GPU training and model interoperability, validates procurement intelligence on real projects, then hardens the platform for enterprise deployment.
Direct answer
PDICON Intelligence’s execution sequence begins with workflow data and security, adds reproducible GPU training and model interoperability, validates procurement intelligence on real projects, then hardens the platform for enterprise deployment.
Stage-gated sequence
Define identity, projects, permissions, event capture, object storage, dataset versioning and security boundaries.
Establish GPU jobs, model registry, evaluation, one external API, one open runtime and one NVIDIA-optimized path.
Validate procurement on real projects, add memory and audit, then prepare private training and enterprise tenancy.
Operating matrix
| Subject | Input | Intelligence operation | Human / policy control | Output |
|---|---|---|---|---|
| Capture gate | Real workflow episodes | Quality review | Privacy and permissions | Usable training data |
| Model gate | Versioned dataset | Training and evaluation | Expert validation | Approved candidate |
| Pilot gate | Project workflow | Assisted execution | Human approval | Measured outcome |
Design boundary
Expansion follows evidence from procurement rather than parallel module sprawl.
Multi-cloud orchestration is deferred until workload evidence justifies it.
Future states are labelled clearly and never presented as deployed customer capability.