Define portable work context and adaptive Grid Intelligence vision

[DanFashauer]

Founder vision

“This product and solution is the glue that will make everything in an industry seamless and effortless with just their badge and/or face/finger to identify the physical person. Then whatever device they’re using, it will give them the same experience and access to what is critically needed and additional features if needed or accessible.”

“The more signals you add to the grid, the smarter and more automated and effective it becomes.”

SignalGrid should become the operational trust fabric that binds a verified physical person to the correct role, task, device, location, custody state, workflow, and permitted action—without requiring the worker to operate a separate SignalGrid application.

Product thesis

SignalGrid is the glue between identity, device posture, physical presence, room/location context, workflow state, inventory/custody signals, application actions, and operational ownership.

The product should answer continuously:

Should this verified person, using this device, in this place and workflow, be allowed to perform this action now—and what should happen next if the surrounding operational state is wrong?

Canonical outcomes remain:

• allow
• step_up
• restrict
• deny

Downstream actions may include alerting, routing, holding a task, requesting verification, creating a ticket, proposing a workflow correction, or verifying resolution. High-risk actions remain approval-gated and simulated-first until separately validated.

Core capabilities

1. Physical-person binding

Support vendor-neutral proof that the person is physically present through candidate sources such as:

• badge / RFID / NFC credential
• mobile credential
• Face ID / Touch ID / Windows Hello / WebAuthn
• passkey or hardware-bound authenticator
• credential-reader case, dock, kiosk, locker, or workstation event

The host application owns the user-facing prompt. SignalGrid remains invisible to the frontline worker and receives only the verified result and necessary context.

2. Portable work context

The same verified person should receive a consistent, role-appropriate experience across authorized devices without copying excessive access everywhere.

Portable context may include:

• tenant and organization
• role and assignment
• active shift / task / workflow
• approved applications and actions
• current device and posture
• location / room / operational zone
• custody or equipment assignment
• required step-up level
• current restrictions and unresolved exceptions

Continuity must remain least-privilege and context-sensitive.

3. Contextual signal grid

Normalize signals from systems of record into one decision context:

• identity and role
• device management and compliance
• credential-reader / biometric verification
• location, room, zone, or RTLS
• dock, locker, battery, custody, and tamper state
• inventory, bin, aisle, task, and order state
• application workflow and action risk
• network and integration health
• policy version and customer-defined workflow rules

More signals should improve contextual confidence and resolution accuracy—not create an opaque black-box decision.

4. Adaptive workflow intelligence

SignalGrid should observe repeated decision, exception, routing, and resolution patterns and recommend improved workflows or automations.

Examples:

• repeated wrong-bin or wrong-aisle warehouse exceptions
• inventory item reported missing at the expected location
• device repeatedly returned to the wrong locker bay
• frequent step-up caused by stale posture in a specific workflow
• recurring handoff failures in a room, shift, or device class
• repeated task rerouting to the same operational owner

The adaptive loop must be:

1. observe
2. correlate
3. explain
4. recommend
5. simulate against fixtures/history
6. require owner approval for material policy changes
7. version and activate explicitly
8. verify the result

SignalGrid must not silently rewrite production policy or perform autonomous high-risk remediation.

5. Customer-defined orchestration

Organizations should be able to configure the grid around their own operating model:

• signal sources
• workflow definitions
• policy rules
• action risk tiers
• routing ownership
• approval gates
• verification expectations
• fail-open / fail-closed posture
• retention and evidence requirements

The platform should provide templates while preserving customer control.

6. Optional hardware and embedded ecosystem

SignalGrid should support three deployment paths:

1. Software-only integration with existing systems and hardware vendors.
2. Vendor-embedded SignalGrid SDK/API/firmware path for deeper, easier deployment and management.
3. Optional SignalGrid hardware where a dedicated badge, dock, locker, gateway, or SmartDock layer creates differentiated evidence or operational value.

No current partnership, certification, or implemented vendor integration is claimed by this issue.

Reference scenario: warehouse exception

A worker accepts a pick task on a shared handheld. SignalGrid correlates:

• verified worker identity
• assigned task and role
• managed-device posture
• expected aisle and bin
• scanner / inventory event
• current location or zone
• inventory-system state
• workflow policy

If the bin is in the wrong aisle or the product is missing from inventory, SignalGrid should not merely display an error. It should produce an explainable decision and a customer-configured response, such as:

• hold or restrict the affected task
• alert the inventory or operations owner
• propose a recount or location verification
• reroute the worker to an available task
• create an exception record
• verify that the inventory/bin state was corrected before releasing the workflow

All actions must be deterministic, auditable, customer-configured, and appropriately approval-gated.

Product boundaries

• SignalGrid is not the identity provider, MDM/UEM, WMS, EHR, inventory system, RTLS platform, locker system, or system of record.
• SignalGrid normalizes evidence, evaluates context, returns a decision, routes approved responses, records evidence, and verifies expected outcomes.
• The worker should not need to open, log into, or think about SignalGrid.
• AI/analytics may recommend patterns or summarize evidence, but authoritative access decisions remain deterministic, policy-versioned, testable, and reviewable.
• No live customer data, PHI/PII, credentials, vendor secrets, partnership claims, production-readiness claims, or autonomous production remediation should enter the public Review Hub.

Recommended implementation sequence

1. Preserve this issue as the canonical long-term product vision.
2. Finish and merge the focused PR Add SignalGrid autopilot evidence bot #36 Evidence Bot hardening.
3. Complete the first private-core wedge: tenant-aware shared-device decision loop with Microsoft Entra + Intune read-only signals.
4. Add a portable work-context model and API contract.
5. Add one warehouse exception fixture and one healthcare shared-device fixture demonstrating the same cross-device continuity model.
6. Add an adaptive recommendation engine that produces reviewable suggestions only—no autonomous policy activation.
7. Validate with one design partner before adding broad hardware or connector scope.

Acceptance criteria for a future scoped phase

• A documented portable work-context schema exists.
• A deterministic cross-device handoff simulation preserves role/workflow context while re-evaluating device and location trust.
• Warehouse wrong-bin/missing-inventory scenario produces an explainable non-allow or workflow-hold outcome with routing and verification evidence.
• At least one adaptive recommendation is generated from synthetic event history, simulated, and left pending owner approval.
• Customer-defined workflow/policy boundaries are explicit.
• Hardware paths remain optional and vendor-neutral.
• Public-safety guardrails and systems-of-record boundaries remain intact.