01
Deterministic authorization
Mandatory controls are evaluated consistently before action.
EXECUTION GOVERNANCE FOR AI
Intelligence may propose.
Execution must be authorized.
Gamma is a deterministic control layer for AI agents and autonomous systems. It independently evaluates proposed actions against enterprise policies before they reach real systems.
Works alongside existing AI systems without replacing the underlying model.
LAKHOWAL
LAS
Stability Layer
LUIPM
Kernel
RCC
Context Layer
LFC
Federation
THE EXECUTION GAP
AI can decide. But who authorizes the action?
A model believing an action is correct is not the same as the enterprise authorizing it. Gamma provides the independent execution-governance layer between intelligence and action.
01Transfer money
02Approve a refund
03Access sensitive data
04Modify customer accounts
05Approve claims
06Change infrastructure
07Issue purchase orders
08Trigger automated workflows
HOW GAMMA WORKS
A proposed action enters. Gamma evaluates whether it should proceed.
Gamma evaluates the proposal against enterprise policies and mandatory conditions before returning PERMIT or SAFE_STATE.
Independent evaluation.
Clear outcome.
The AI proposes an action. Gamma checks the applicable policies and required conditions, records the evidence, and returns a deterministic decision. Your enterprise system remains responsible for execution.
Explore the technical architectureProposal
What action is being requested?
AI → Gamma
Policy
Which enterprise rules apply?
POLICIES
Conditions
Are mandatory controls satisfied?
CHECKS
Decision
Should the action proceed?
PERMIT / SAFE_STATE
05Gamma returns PERMIT or SAFE_STATE
06Evidence is recorded
07Your enterprise system remains responsible for execution
WHY GAMMA
What Gamma adds to autonomous systems
02
Non-compensatory decisions
One mandatory failure cannot be cancelled by unrelated successful checks.
03
Decision evidence
Every evaluation records the policy, evidence, result, and reason.
04
Deterministic replay
Historical decisions can be reconstructed using their original inputs and policy.
05
Model independence
Gamma governs actions independently of whichever AI model or agent produced them.
SOLUTIONS
One control layer. Many high-impact workflows.
Potential applications include workflows across regulated and operationally sensitive industries.
Financial Services
Wire transfers, payment authorization, trading actions, and account changes.
Healthcare
Sensitive-record access and AI-assisted clinical and administrative actions.
Insurance
Claims, payouts, underwriting actions, and policy changes.
Enterprise AI Agents
Email, procurement, CRM updates, database operations, and workflow automation.
Government
AI-assisted actions requiring traceability and policy enforcement.
Critical Infrastructure
High-impact automation where action authority must remain deterministic.
SHADOW MODE
Start without giving Gamma control.
Shadow Mode allows organizations to evaluate Gamma beside an existing workflow without blocking production.
Observe→
Evaluate→
Compare→
Review→
Measure→
Consider Enforcement
Gamma records would-PERMIT and would-SAFE_STATE outcomes, evidence, review decisions, and control gaps while the existing system continues operating independently.
DECISION EVIDENCE
Every decision leaves evidence.
The goal is not only to make a decision, but to make that decision explainable and reproducible later.
1Proposed action
2Policy version
3Predicate results
4Evidence references
5Reason codes
6Decision timestamp
7Decision hash
8Signed receipt
9Replay result
10Reviewer outcome
INTEGRATION
Gamma sits between intelligence and execution.
Gamma is designed to govern actions without requiring organizations to replace their underlying AI model or enterprise systems.
Your AI / Agent
↓Gamma
↓Your Existing Systems
INTEGRATION OPTIONS
REST APIGatewayEvent mirrorCustomer-controlled deploymentShadow ModeFuture inline enforcement
A Python integration example is available for pilot exploration.
BANK DEMO
See Gamma in a simulated banking environment.
The Gamma Bank Demo uses synthetic transactions to demonstrate policy evaluation, PERMIT / SAFE_STATE decisions, control-gap detection, review workflows, signed receipts, evidence export, and deterministic replay.
Synthetic data only.
No real funds or customer data. Shadow Mode demonstration.
No real funds or customer data. Shadow Mode demonstration.
PROPOSED ACTION
Wire transfer · Synthetic account
↓ Gamma evaluates ↓
PERMIT
SAFE_STATE
SECURITY
Designed for controlled enterprise deployment.
Authentication
Role-based access and protected API routes.
Tenant Isolation
Single-tenant-per-deployment isolation in the current pilot profile.
Secret Isolation
Secrets and credentials remain outside source control.
Signed Receipts
Pilot Ed25519 software-key signing.
Tamper Evidence
Hash-linked records and replay verification.
Customer-Controlled Deployment
Docker-based pilot deployment in customer-controlled infrastructure.
For production deployment, customers may require HSM/KMS custody, enterprise SSO, penetration testing, private networking, and their own infrastructure review. Evidence mapping is available for frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OWASP guidance. Mappings do not constitute certification or legal compliance.
SHADOW PILOT
Start with one bounded workflow.
1
Discovery
Identify high-impact AI actions.
2
Policy Mapping
Translate organizational requirements into executable controls.
3
Integration
Connect Gamma to one workflow.
4
Shadow Evaluation
Observe without blocking production.
5
Evidence Review
Measure decisions, false positives, control gaps, and replay.
6
Enforcement Readiness
Decide whether further integration is justified.
CLEAR BOUNDARIES
Clear boundaries by design.
Gamma is
- ✓Execution-governance layer
- ✓Deterministic policy evaluator
- ✓Evidence and replay system
- ✓Non-blocking Shadow Mode pilot
- ✓Model-independent control layer
Gamma is not
- –An AI model
- –A payment processor
- –A fraud replacement
- –Legal advice or regulatory certification
- –Production enforcement in the current release
- –Sovereign or hardware deployment
- –Shared SaaS multi-tenancy
START A CONVERSATION
Build verifiable execution around your AI.
If your AI systems can take consequential actions, Gamma can help you evaluate where deterministic authorization should sit.