Decision Authority · Agentic Enterprise

Let AI act.
Without letting
operations break.

Galvico introduces a new layer in the enterprise stack — a decision authority layer that governs every action across systems before it executes. As AI moves from suggestion to execution, Galvico ensures it moves safely.

Start a pilot How it works →
Pre-execution
Governance — not post-hoc
Cross-system
One authority layer
Zero rework
No migration required
// Live decision authority
ERP · CRM · Identity · Billing
Workflow · Procurement · Vendor
↓ all actions evaluated by
Galvico — Decision Authority
✓ Approved ⚑ Review ✕ Blocked
09:14:02APPROVEvendor.invoice.approve · trust high
09:14:07REVIEW hr.salary.update · conflict detected
09:14:11BLOCK procurement.bulk.order · policy exception
09:14:18APPROVEcrm.contract.renew · impact cleared

The gap

AI can act.
Most enterprises still can't let it.

Systems are moving from recommendation to execution. But enterprise infrastructure was not designed to let autonomous actions move safely across systems, policies, approvals, and operating boundaries.

01
Fragmented truth
Systems disagree on the same entity. AI inherits inconsistency, amplifies it at scale, and produces decisions that can't be trusted.
02
Disconnected policy
Enterprise rules rarely travel with the actions they are meant to govern. By the time a policy is checked, the action has often already moved, stalled, or created risk.
03
Scaling risk
Automation does not just execute faster — it fails faster. One bad decision, repeated across thousands of transactions, can become an operational, financial, or compliance crisis.
04
Missing layer
Data stores don't decide. Automation tools don't govern. AI proposes but doesn't check. There is no pre-execution authority across the stack.

How it works

From fragmented operations
to governed execution

Galvico evaluates proposed actions before they execute — using enterprise context, authority rules, approval requirements, and risk signals to determine what should proceed, what needs review, and what must be stopped.

01
Understand
Create trusted context
Galvico aligns the relevant business context across connected systems so decisions are evaluated against the right operational reality.
→ trusted context
02
Apply Authority
Bring controls into execution
Permissions, approvals, obligations, and business rules are applied before an action moves forward.
→ governed action
03
Assess Impact
Evaluate consequence before change
Galvico determines whether the proposed action could create operational, compliance, financial, customer, or security risk.
→ impact confidence
04
Control
Approve, review, or block
Approved actions proceed. Exceptions are escalated. Risky actions are stopped with a clear decision record.
→ approve · review · block

Architecture

A missing layer in
the enterprise stack

Data stores store. Automation executes. AI proposes. None determine whether an action should occur in context. Galvico governs what actually happens.

Sources
AI & Automation
LLM agentsRPA workflowsAutonomous processesAPI orchestratorsDecision engines
Authority
Galvico
Understand Context
Cross-system business context
→
Apply Controls
Policies, permissions, approvals, and operating limits
→
Assess Consequence
Operational and compliance impact before execution
→
✓ APPROVE ⚑ REVIEW ✕ BLOCK
Control Action
Approve, review, or block with a clear decision record
Operational
Systems
ERPCRMIdentityBillingProcurementInventorySupportVendorWorkflowReporting

Capabilities

Decisions don't live in
the present. Neither does control.

Galvico evaluates actions across what has happened, what is true now, and what could happen next — so enterprises can move from reactive governance to controlled execution.

Temporal
Context across time
Actions are evaluated against prior decisions, current conditions, and changing business context — not static rules alone.
Pre-execution
Consequence assessment
Before execution, Galvico evaluates whether a proposed action could create operational, financial, customer, security, or compliance risk.
Distribution
Federated operation
Works across systems, teams, and geographies without requiring centralization or re-platforming.
Deployment
Low-friction adoption
Start in observation mode. Expand to enforcement as confidence grows. Galvico governs at the action level, not by replacing your systems.

Outcomes

Control that translates
into execution

Replace fragmented decisions with governed execution — move faster without compounding risk.

Explainable
Full traceability from decision to inputs, context, and the policy that determined the outcome. No black boxes.
Auditable
A continuous, cross-system record of every action considered, approved, reviewed, or blocked — ready for compliance at any time.
Recoverable
Understand impact before execution and maintain a clear record of what happened, why it happened, and what needs to change when conditions shift.
Deployable
Move safely from pilots to production with clear gates. Galvico scales from a single domain to the full enterprise stack without disruption.

Use cases

One control layer.
High-stakes AI across every domain.

Enterprises do not need more isolated AI pilots. They need a way to let agents take meaningful action across systems without creating financial, operational, compliance, security, or customer risk.

Galvico provides the decision authority layer that allows high-stakes AI and agentic workflows to move from recommendation to controlled execution.

Workforce & Organization

AI agents coordinating onboarding, org changes, role updates, compensation workflows, access requests, and policy exceptions.

Controlled actions:
  • Employee updates
  • Compensation changes
  • Role and reporting changes
  • Access requests
  • Policy-sensitive approvals
Finance & Procurement

AI agents reviewing invoices, routing approvals, checking spend authority, coordinating vendor onboarding, and controlling procurement exceptions.

Controlled actions:
  • Invoice approvals
  • Purchase orders
  • Vendor changes
  • Budget exceptions
  • Payment workflows
Customer & Revenue

AI agents managing renewal workflows, entitlement changes, billing exceptions, support escalations, and SLA-sensitive service actions.

Controlled actions:
  • Contract renewals
  • Billing changes
  • Entitlement updates
  • Customer exceptions
  • SLA-sensitive actions
Supply Chain & Operations

AI agents coordinating inventory decisions, supplier substitutions, order exceptions, logistics changes, and operational disruption responses.

Controlled actions:
  • Supplier changes
  • Inventory decisions
  • Order exceptions
  • Logistics actions
  • Vendor risk events
Identity & Security

AI agents reviewing access requests, privilege changes, role exceptions, sensitive permissions, and security-controlled workflows.

Controlled actions:
  • Access approvals
  • Role changes
  • Privilege updates
  • Security exceptions
  • Permission-sensitive actions
Compliance & Risk

AI agents surfacing control exceptions, preparing audit evidence, escalating regulated decisions, and monitoring policy-sensitive operations.

Controlled actions:
  • Control exceptions
  • Regulatory workflows
  • Audit evidence
  • Risk escalations
  • Policy-sensitive actions

The result: enterprises can deploy AI into the workflows that actually matter — not just the ones safe enough to automate without control.

Adoption

Start with visibility.
Expand into control.

Begin in observation mode — surface what is happening without changing any workflow. Align controls around the highest-value actions, then expand to governance as confidence and evidence grow.

01
Observe
Surface decision activity
Surface risky actions, inconsistencies, exceptions, and decision patterns without changing existing workflows or systems.
→ read-only visibility
02
Align
Prepare controls for action
Establish trusted context, governance rules, and intervention points across the selected workflow or domain.
→ control readiness
03
Govern
Move from visibility to control
Move from visibility to enforcement. Approve, review, or block actions before they create business risk, with escalation paths and a clear decision record.
→ controlled execution
Get started

Start governing AI execution
before it becomes
a risk

Run a focused pilot to surface risky actions, evaluate control points, and govern AI or automation workflows across your existing systems. No migration required. No disruption to current workflows.

No migration — connects to your existing stack
Zero disruption to live workflows
First governance results in 2–3 weeks
What to expect
01
Scoping call
Day 1–2 · 30 min · Remote
02
Control readiness review
Week 1 · Selected workflows, systems, and governance requirements
03
Live control pilot
Week 2–3 · Visibility, control signals, and executive-ready evidence
Enterprise pilot — scoping form

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Request received
We'll be in touch within 24 hours with a proposed pilot scope and next steps tailored to your use case.