A suitable evaluation scope
A narrowly defined support workflow appropriate to the organization's requirements.
Pion | Military
Potential Pion applications include asset-support and maintenance coordination where identity, authority, and traceability matter. Mission-specific requirements, deployment constraints, and any required approvals need separate validation.
A narrowly defined support workflow appropriate to the organization's requirements.
Coordination effort, record completeness, approved action boundaries, and support outcomes.
Pion remains in development. These are intended applications, not customer deployments or claims of available production integrations.
Where it shows in the platform
Each label is the platform's own: green where every row is a record it wrote, amber where the estate is simulated.
Every company in the simulated estate, down to the device — each level computed from the devices beneath it.
Reads · The asset estate — company, site, system, device — simulated, or reported read-only by the Azure connector — and the requests that name one
Every managed device, the tickets the platform opens for their conditions, the technicians working them, and the governed path to act on a device.
Reads · The managed fleet and its health, service tickets and their history, field visits, technicians' work
Governed decisions, the recorded re-read after them, evidence and closeout — steps 11, 13 and 14 of the resolution path.
Reads · The governed queue, decisions, transitions, evidence, and the re-reads recorded after an approved action
Decided records and the closeout packages they produce — each one verifiable by another party without trusting us.
Reads · Decided records, their packages, chain integrity, recorded activity
Development status | October 18, 2026
The current build demonstrates an authorization and evidence workflow using a simulated operational estate. The distinction between implemented controls, simulation, and future integration is part of the product explanation.
The current demonstration includes requester and approver separation, allowed roles, a required decision reason, decision records, and closeout evidence packages. In Pion, which runs on Microsoft Azure, the evidence chain is also anchored outside its database, and a person can sign in with their own Microsoft account once an administrator has added them. A person at the gate can ask EALAI to draft the likely cause and a proposed response; every figure, date, device name and record key in the draft is looked up in the records EALAI was given, which shows where it came from, not whether it is right. The decision record names the draft that was on screen, each citation opens onto the record EALAI was given, and Pion keeps a record of what followed each draft. Pion's first connector reads a company's Azure resources, read-only.
Navigation, device conditions, recommended analysis, and recovery examples use sample data or simulation. They do not establish a connection to a live client estate.
Connectors to tools other than Azure, reading a client's own Azure, live device actions, reading a client's directory beyond sign-in, and EALAI's reasoning beyond drafts are not built in this stage. Microsoft sign-in on the hosted platform uses a development registration until NGCC5's own exists, and the Azure connector is configured for no client yet.
Predictive Digital Twin models remain future work. Their presence in the product design is not a claim of current availability.
A closeout package records the demonstrated decision and evidence chain. It does not prove a live device change, production identity integration, or production readiness. A same-database hash chain detects accidental corruption and unsophisticated edits; it does not survive an adversary who can rewrite the whole table and rehash. Nothing outside the database vouches for this chain here: no external anchor is written or readable.
Select a bounded operating problem, establish its present cost and effort, and define what would justify continuing. Pion should be evaluated against those measures as connected capabilities become available.