Field Runtime ECC

Give Field Runtime the exception queue.

Your people keep the decisions that matter.

Field Runtime turns fragmented operational signals into governed cases, then works each case — gathering evidence, reconciling conflicts, coordinating systems, preparing permitted actions and following through to a verified outcome. Operators step in when authority, judgment or missing evidence requires a person.

More operating capacity without adding proportional headcount.

Field Runtime ECCAI operating capacity for consequential work

AI supplies operating capacity.
Humans retain judgment and authority.

Field Runtime manages the work, not just the worker.

Operational signals become governed cases

Traditional operations do not arrive as clean tasks. Emails, system events, documents and human requests arrive fragmented. Field Runtime links the evidence, preserves where it came from, surfaces conflicts and forms a governed Case before work begins.

Operational signals

EmailERP / CRM eventsDocumentsTickets / requestsHuman submissions

Field Runtime Case Formation

Link related evidencePreserve provenanceIdentify conflictsExpose missing contextKeep uncertainty visible

30governed
cases

Synthetic intake and case formation. No external systems connected.

Field Runtime is working

Many cases are moving in parallel.

Evidence, obligations, permitted actions and receiving states continue moving while operators focus on the decisions below.

26 cases under Field Runtime control

What needs you

Four decisions need you. Field Runtime is working the other 26.

Human attention queue

Field Runtime handled the surrounding work. These cases need a person for authority, judgment or missing evidence.

Complete operational case

One case stays whole from exception to verified outcome.

Start with the decision. Open evidence, history and evaluation detail only when you need it.

Cases requiring human attention

Four decisions need you. Field Runtime is working the other 26.

Every card arrives with the relevant records, conflicts, policy, owner and next action already prepared.

Outcome Ledger

The answer is not the outcome.

Each receipt connects the human decision to authority, coordinated action, the verified receiving state and the synthetic capacity estimate.

The Field Runtime difference

The AI workers can change. The company keeps what compounds.

Field Runtime does not make the model the business memory. Models and agents can change without losing the company’s operating state, authority, outcomes or learned corrections.

Company owns

Case stateEvidenceWorkflowAuthorityOutcome historyCorrectionsEvaluations

↓

Field Runtime

Authority + outcome runtime

↓

Replaceable workers

ModelsAgentsToolsHuman expertise

No lock-in: existing systems remain systems of record. Providers can change while the company keeps the complete case, authority, action receipts, outcomes, corrections and evaluations.

Learning follows the outcome

Never solve the same kind of exception from zero.

Case resolved

Human correction?

Capture correction

Replay against prior cases

Human promotion

Next comparable case starts ahead

Case state, authority, outcome and learning remain company-owned.

Decision Graph v0

The graph is the engine—not the product.

The customer buys a governed path from consequential exception to accepted outcome. The graph describes how evidence, people, models, authority and actions move through that path.

Field Runtime is a Case + Authority + Outcome Runtime. The Case makes the work legible, Authority makes consequential action governable, and Outcome verification makes the work accountable.

Deterministic control before agentic judgment.
Models may extract, synthesize and recommend. Field Runtime controls identity, state, approval, action and audit.

No direct model-to-system writes

Controlled learning loop

Memory is not learning.

1. Capture correction

Record what a human changed, why, and which case proves it.

2. Create candidate

Propose memory, evaluation, skill, policy or workflow change.

3. Replay and evaluate

Test ordinary, difficult, conflict, security and regression cases.

4. Human promotion

Named owner approves a scoped version with rollback—or rejects it.

Open-source Lego architecture

Use the pieces. Own the operating system.

GBrain, QM, models and connectors are replaceable providers. Field Runtime owns the shared case, governed workflow, authority, outcomes and learning system.

Replaceable provider

GBrain

Scoped institutional memory, similar cases, cited context and approved memory writes.

Replaceable provider

QM / Slack

First multiplayer work surface for cases, updates, tasks, watches and approvals.

Later

Buzz / Hermes / OpenClaw

Alternative work surfaces and specialist workers behind stable adapter contracts.

Proprietary product core

Field Runtime Control & Learning Plane

Canonical operational state and the governed path between intelligence and institutional action.

CoordinationCase

Participant roles

Workflow Contract

Decision Graph

Truth hierarchy

Authority Matrix

Approval service

Action Gateway

Intelligence Receipt

Outcome Ledger

Correction Ledger

Evaluation Registry

Replaceable provider

One model first

Structured extraction, grounded synthesis, contradiction detection and drafting.

Authoritative systems

CRM · Tickets · Messages

Systems of record retain transactional truth. Field Runtime reads, proposes and writes only through controlled connectors.

Technical observability

OpenTelemetry / Phoenix

Trace model and tool execution. Field Runtime separately measures accepted business outcomes.

Providers can change. Institutional learning persists.
Field Runtime preserves evidence, authority, action receipts, outcomes, corrections and workflow versions.

Horizontal runtime · vertical workflow

Evaluation and learning registry

The next similar case improves for an inspectable reason.

Run the golden cases, capture corrections, evaluate proposed changes and prevent unsafe or regressive learning from reaching production.

Fixture coverage

30

One case per named failure or boundary

Hard safety gates

5

Tenant, scope, approval, idempotency, evidence

Auto-promotion

0

Every candidate needs named approval

Rollback required

100%

No promoted item without a reversal path

Current run

—

Provider and model portability

Change the workers without losing the work.

The company-owned operating record remains stable while models, agents, tools and work surfaces are evaluated, replaced or combined.

Portable company record

CasesEvidence provenanceAuthority decisionsAction receiptsVerified outcomesCorrectionsEvaluation historyExit runbook

↓

Stable Field Runtime contracts

Workflow · authority · receipt · outcome · replay

↓

Replaceable supply

Frontier modelLocal modelSpecialist agentConnectorWork surface

The portability test: replace one provider, replay the synthetic case set, compare safety and outcome performance, and retain the company’s operating history regardless of the winner.

Implementation boundary

What runs in this website—and what production adds.

This public-safe sandbox proves the product logic with synthetic fixtures. A design-partner pilot adds authentication, databases, scoped memory and controlled enterprise connections.

BUILD NOW

One bounded product loop before any platform expansion.

One consequential workflow

Synthetic fixtures before credentials

Human approval before external writes

Read-only → staged writes → bounded authority

One model and one work surface first

Phase 1 · This sandbox

Clickable product proof

30 synthetic cases
Case room and decision packet
Role-gated approval simulation
Outcome and learning loop
No credentials or external effects

Phase 2 · Engineering MVP

Deterministic core

PostgreSQL canonical state
Tenant and scope isolation
Event journal and audit
Mock adapters and contract tests
Evaluation runner

Phase 3 · Design partner

Live read-only pilot

Customer SSO
Scoped GBrain context
QM / Slack work surface
CRM and ticket reads
Baseline and outcome metrics

Phase 4 · Controlled production

Approved staged writes

Exact action previews
Named business approval
Idempotent connectors
Action receipts and verification
Scale or stop decision

Capability	Website sandbox	Production pilot
30 synthetic evaluation cases	Included	Retained as regression suite
Shared Case Room and Decision Packet	Interactive simulation	Live, role-scoped state
Human approval gate	UI simulation	Authenticated, policy-enforced
GBrain institutional memory	Synthetic memory fixtures	Scoped adapter
QM / Slack multiplayer work	Simulated work surface	Connected adapter
CRM and ticketing systems	Fixture records	Read-only first
External writes	Always disabled	Staged, approved, idempotent
Customer data	None	Customer-defined boundary