Governance

Why Governance

Why energy enterprises need a company control layer for AI — access, cost, audit, and policy on the paths that touch real work.

Brightwire Agent GovernanceSupported paths

Brightwire Agent Governance is the company control layer for AI: one place to manage access, cost, audit, and policy across agents — including Copilot, Claude, coding agents, and other seats you already own — on supported clients and paths.

It curbs tool sprawl, enforces budgets and guardrails, routes work to the right model, centralizes approved skills and tools, and keeps an evidence trail — so departments can scale AI without each team freelancing its own stack.

  • Works with or without a department Agent Runtime.
  • Any Runtime always sits under Governance.
  • You do not need custom department agents on day one.

It is not a replacement for Microsoft admin centers, not a promise to intercept every closed vendor path on day one, not unsupervised plant or trading control, and not an AI agency.

Why enterprises need this

Most energy and industrial buyers already pay for AI seats. The gap is not access to a model. The gap is company control of the AI layer that touches real work.

SymptomWhat breaks
Seat sprawlCopilot + Claude + coding agents + shadow tools — no inventory of who can invoke what
Unowned spendToken and tool cost on team cards; no envelopes, stops, or attribution
Inconsistent policyOne desk allows exports another forbids; rules live in slides, not in the request path
Weak auditHard to reconstruct model, path, tools, approver, or cost when something goes wrong
Shadow AIRestrictions without an approved path push work into consumer tools
Department freelancingEach team builds its own bot; secrets and retention drift
Controls bolted on lateAccess, cost, and stop authority added after the pilot — too late for procurement and security

One control layer on paths you can govern

Agent GovernanceVendor seatsCoding agentsDept Runtime (optional)Other managed paths

Start by putting company control on the paths that already matter. Add department Runtimes when a desk needs standing multi-agent work on real ops systems.

What Governance is (and is not)

Is

  • Inventory and ownership of AI paths under management
  • Access control — models, tools, skills, environments
  • Cost envelopes — metering, budgets, soft/hard stops
  • Model and vendor registry and routing under policy
  • Policy packs, guardrails, human approval gates
  • Centralized skills and tool catalog
  • Audit, retention, evidence export where scoped
  • Stop and freeze on managed paths

Is not

  • Full interception of every closed vendor UI on day one
  • “Organizes any AI tool on earth” without supported-paths qualifier
  • A replacement for Entra, Purview, M365 admin, or vendor billing
  • Board governance theater — this is AI / agent control
  • Unsupervised OT or trading automation as the default offer
  • A requirement to buy custom Runtime on day one

Progressive autonomy under Governance

Same ladder as How Brightwire works: Ask → See → Advise → Act. Each step is useful on its own; Act is earned.

StepMeaningGovernance role
AskGrounded answers from approved sourcesRead-only paths, source allowlists, audited Q&A
SeeOperational visibility without waiting on analystsScoped data access, retention, export rules
AdviseDrafts and recommendationsHuman approve or escalate; evidence of the decision
ActBounded actions only when earnedAllowlists, freeze on managed paths, pre-approved workflows

Feature guide

Honest ceilings
  • We govern supported clients and paths we integrate — not every closed vendor surface on day one.
  • Your Copilot, Claude, and similar seats can stay; Governance is additive.
  • Agent Runtime is optional. Governance stands alone.
  • Hard stops, elevation, and spend meters apply on metered paths as scoped in the engagement.