Built on Fibric

Products and patterns, with maturity stated.

BearScope is the live production proof. Invoice for Me is a shipped outbound-invoicing product mapped to Fibric principles. The remaining examples are reference patterns, not deployed customers or a claim that the generalized kernel is already in every request path.

Live production proof · CX operations

BearScope

BearScope is the live CX operations product for commerce teams. It brings governed conversations and calls into QA and review, runs RADAR across operational signals, and, where the connected commerce data supports it, surfaces orders at risk with evidence a person can inspect.

The shipping BearScope BFF implements the governed pattern directly today: tenant-scoped real data, grounded analysis, and explicitly wired actions. The generalized Fibric kernel remains a reference package and is not the current BearScope request path.

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Proof of reach

Reference patterns beyond the live product.

BearScope proves the governed product discipline in CX operations. The examples below show how the reference architecture could apply elsewhere; they are not deployed customers or generally available products.

Pattern 01

A buildings operator

Facilities & energy

A guest-room or campus operator that watches occupancy, energy, and the systems that run a building, then trims waste without touching comfort.

  • SensesBMS, meters, and occupancy through BACnet and web-API connectors.
  • ReasonsWhere load and presence disagree, within the limits an operator sets.
  • ActsProposes a setpoint change; a deterministic check approves or blocks it, stops if unsure, and writes a record.
Pattern 02

A warehouse operator

Fulfillment & inventory

A floor operator that watches orders, pick paths, and stock against what is promised, and catches a fulfillment problem while it can still be fixed.

  • SensesWMS, order, and inventory events as one canonical envelope per signal.
  • ReasonsWhich orders are about to slip, and what the cheapest correct fix is.
  • ActsProposes reprioritization or escalation, with entity locks and idempotency controls intended to suppress duplicate effects.
Pattern 03

A support operator

Service & quality

A service operator that scores conversation quality and routes the work that needs a human, the lineage BearScope itself comes from, generalized.

  • SensesTickets, calls, and chat through whichever helpdesk a team already runs.
  • ReasonsWhat failed a rubric and why, in plain language a reviewer can audit.
  • ActsFlags, drafts, and routes only through capabilities that have been explicitly bound and enabled.

A note on honesty. BearScope is real and running on governed tenant data. Its shipping BFF implements the pattern directly; the generalized kernel remains a reference package. Invoice for Me is also a real product, but its case study is a mapping to Fibric product principles, not proof of shared runtime infrastructure. The three patterns above are examples, not named customers or products available to buy today.

What it looks like

The Fibric contract for finished software.

This is the reference contract Fibric is building toward. BearScope demonstrates much of the discipline through its shipping BFF today; it does not yet prove every generalized runtime primitive.

It senses

Real data, one envelope

The reference architecture normalizes signals into a tenant-tagged EventEnvelope. Live BearScope handles governed inputs directly and keeps placeholder data out of real-tenant views.

It reasons and acts

Propose, then dispose

The target contract separates model proposals from deterministic validation and dispatch, with idempotency controls intended to suppress duplicate effects.

It stays accountable

Accountable by default

Policies should veto unsupported actions before dispatch. Supported action paths should leave an attributable record; correction may require a compensating action rather than a literal undo.

Managed early access

Bring us the workflow.

The public self-service SDK is not available yet. If you are evaluating a governed operator, describe the real workflow, systems, and actions; we can assess it with you through managed early access.

  1. 1

    Map the workflow

    Name the systems to observe, the decisions a person makes today, and the actions that would matter.

  2. 2

    Define the controls

    Set the tenant boundary, evidence requirements, approval points, failure behavior, and duplicate-suppression strategy before any action is wired.

  3. 3

    Tell us about it

    Write to a human at contact. Show us the loop it senses, reasons, and acts on, and we will take it from there.