ORGANIZATION CAPACITY

Stop wasting AI spend.
Route the capacity you actually own.

A2Agent gives companies one control plane for named-user AI seats, organization-level credits, enterprise usage, APIs, and local compute. It does not pool employee passwords or pretend a per-user allowance is transferable.

Open Capacity Console →Windows managermacOS managerView execution evidence

Credential-local · entitlement-aware · budget/model policy · worker trust · observe-first execution evidence

THE PROBLEM

Companies buy AI per seat.
Workloads are not distributed per seat.

Some employees barely touch coding tools. Other teams hit limits constantly. The wrong solution is sharing logins. The right solution is separating seat management from provider-approved shared capacity.

1

Named-user seats

Measure utilization and identify stranded spend. Keep the entitlement private to its assigned user. Reassign or change seat tiers through provider-supported admin controls instead of sharing credentials.

2

Organization capacity

Route eligible workloads across organization-owned OpenAI/Anthropic API workers when the company has the right execution contract. Host managers keep credentials local with Windows DPAPI or macOS Keychain storage.

3

Owned compute

Use company GPUs and local models through the fixed-loopback Ollama worker. A Capacity Grant keeps internal sharing rights explicit and revocable.

POLICY ENGINE

Rights first. Routing second.

A2Agent treats routing rights as data, not a marketing assumption. Every organization job must pass entitlement, workspace and execution policy before it can enter the capacity queue.

Private — only the credential owner's jobsOrganization — eligible members of the same workspaceCapacity Grants — explicit rights metadataCodex CLI / Claude CLI — hard-capped to privateAdapter / provider / model allowlistsMonthly allowance + maximum workload
01
Classify entitlementseat / organization API / enterprise / local compute
OK
02
Apply company policyscope / budget / provider / model / workload
OK
03
Observe execution evidencetrust / attempts / runtime / headroom / score
OBSERVE
COMPANY ROUTER

Measure first.
Change selection second.

The router already enforces adapter, provider, model, scope, budget, entitlement, availability and concurrency boundaries. Worker v5 adds capability evidence, and capacity_execution_v1 now records how the worker that actually leased the job looked at that moment — without changing selection yet.

Read the evidence model →
Current routing stateobserve-only
worker_protocol       = 5
trust_enforcement      = observe
evidence_score         = capacity_execution_v1
affects_selection      = false
worker_pull_leasing    = true
public_pool            = false
billing_enforced       = false
WORKER TRUST V5

Know the runtime before
you trust the score.

The downloadable worker reports a bounded capability envelope so A2Agent can show whether the local runtime passed a recent adapter-specific probe — without collecting provider credentials.

◎

Capability probe

Worker/protocol version, OS and architecture, runtime version, model pinning, fixed-endpoint posture and adapter-specific readiness checks. Secret values and prompt/result content stay out of the trust envelope.

↯

Fresh trust state

The Console distinguishes legacy unknown, self_reported, and freshly probed workers. verified is reserved for future stronger platform/provider certification and cannot be self-assigned.

≋

Execution evidence

Successful attempts, failed attempts, retryable failures, runtime EWMA, capacity headroom, shadow-price fit and trust health now produce a bounded operational score snapshot.

Current mode: observe. Trust and execution scores are measurement signals. They do not yet hard-block, prefer or reserve organization workers. This lets A2Agent learn from real runtime evidence before changing production routing.
EXECUTION SCORE V1

A score you can inspect
before it controls anything.

New workers do not start at 100% reliability, missing runtime telemetry is not treated as perfect, and every component has a visible versioned definition.

40%

Reliability

Confidence-smoothed success vs failed execution attempts.

25%

Runtime

EWMA evaluated against quick / standard / heavy workload baselines.

15%

Price fit

Worker minimum shadow value versus current job shadow value.

10%

Headroom

Available concurrency before the current claim.

10%

Trust

Fresh probe state without overriding rights or company policy.

Open Capacity Evidence →Read score semantics
WHAT WE DO NOT DO

No credential pooling. No quota tricks.

No shared employee passwords

Provider OAuth/session credentials stay on the machine and remain tied to the named user or approved organization service identity.

No disguised limit bypass

A2Agent does not rotate named-user seats to circumvent per-user limits. If a provider says an allowance is per member, A2Agent treats it as per member.

No fake “best worker” claim

The score is observe-only until real telemetry is large and stable enough to justify explicit eligibility thresholds. Global central dispatch is not implemented.

Enterprise opportunity. The product now links AI FinOps, entitlement policy, worker trust and execution evidence in one control plane. The next safe step is not “turn the score on”; it is collecting enough real Windows/macOS/API/Ollama evidence to define defensible readiness thresholds.