Build & Orchestrate Understand & Decide Connect & Extend Govern & Prove Value
Product · Pillar 4 of 4

The business case, built in — not bolted on after.

The other three pillars are how BfxOS builds, decides, and connects. This one is why any of that is defensible to a CFO, an auditor, or a board — cost, governance, and outcome, tracked by the same system that ran the work, not assembled after the fact.

Usage & Billing — the real screenlive capture
ROI Dashboard

The business case, always current.

Every Pipeline, every Crew, every agent run rolls up into one place — cost, time saved, and outcome, by team, by workflow, by month. Not a spreadsheet someone assembles the week before a board meeting. A live number, backed by the same runs that produced it.

ROI Dashboard — monthly valueillustrative
Mar
Apr
May
Jun
Jul
Aug
Usage & Billing

What it costs, broken down.

See spend by team, by model, by workflow — not one opaque monthly invoice. When a workflow's cost creeps up, you'll know which one, and why, before finance has to ask.

Usage & Billing — this monthillustrative
TeamModelCost
Claims OpsClaude$1,240
SupportGPT-4o$860
FinanceLocal / OSS$110
Compliance & Governance

Policy, built in — not bolted on.

Role-based access, org-level policy, and a governance dashboard that answers what a security review actually asks — before it's asked. Every access grant, every approval, every policy change is itself logged.

Governance — recent activityillustrative
09:14M. Reyesapproved Pipeline run · invoice-review
09:02Systemaccess grant expired · contractor-scope
08:47A. Okaforpolicy updated · Model Router / EU-only
Secret Vault

Never pasted into a prompt.

Agents reference a secret; they never see the raw value. Grants are scoped to exactly what's needed, time-boxed, and revocable — access ends the moment the need does.

Secret Vault — scoped grantsillustrative
crm-service-tokenread-only
azure-openai-keydelegated · 30d
finance-db-roteam-scoped
Observability

See exactly what ran.

When a workflow fails at 2am, you don't want a token count — you want the step that failed, the input it got, and why. Every run is traced end to end, not logged as a single pass/fail.

Run trace — wf_9f21illustrative
Fetch document
312ms
Extract fields (Model Router → Claude)
1.8s
Validate against policy — failed
flagged for HITL approval
LLM Ops

Managed like production software.

A prompt change is a versioned change, not an untracked edit in someone's notes. Evaluate before you ship, roll back if it regresses — the same discipline your codebase already has, applied to what your agents actually say and do.

Prompt version — claims-triageillustrative
Escalate any claim over $10,000.
+Escalate any claim over $10,000, or flagged by policy check.
Tokenmaxxing is dead. This pillar is where valuemaxxing actually lives.
Read the manifesto →

See your own ROI Dashboard.

Bring a real workflow. Leave with a number your CFO will believe.