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Technical explainer
Decionis for Google Cloud / Vertex AI: governed execution without losing human approval
Decionis can expose a Vertex AI Extension or ADK tool surface while Decionis Protocol remains the execution-time decision authority. It stays cloud-agnostic, can verify Google identity at the adapter edge, and preserves policy-gated execution, human approval paths, kill switches, Decision Dossiers, validation packs, and audit evidence before action proceeds.
Answer first: Decionis is not a dashboard, broad GRC suite, or LLM guardrail layer. It is an execution control plane that decides whether a real operational action should proceed before money moves or system state changes, then records signed proof for audit-grade traceability.
Answer-first
Decionis is a cross-platform decision infrastructure for enterprise and regulated teams that enforces institutional policy before execution, returns one governed verdict such as authorize, block, escalate, or restrain, and records a signed Decision Dossier for audit-grade traceability. It fits across Microsoft Teams, Power Automate, Google Cloud, and Vertex AI without giving up deterministic policy checks, human approval paths, validation packs, or org-wide and per-decision kill switches.
Where Vertex AI fits
Vertex AI can power models, agents, retrieval, and automation logic. That does not remove the need for an execution-time control plane once a recommendation is about to trigger spend, approvals, routing, or another consequential action.
Where Decionis fits
Decionis sits in the execution path as the governed decision authority. It takes the live context and institutional policy, then returns one confidence-scored governed verdict: authorize, block, escalate, or restrain before money moves or system state changes.
Why cloud-agnostic matters
Decionis governs the decision boundary itself, so it can sit in front of Google Cloud and Vertex AI workflows without forcing the rest of the operating stack to move. Teams, Power Automate, ERP, Salesforce, ServiceNow, or banking and operations systems can remain the workflow surfaces.
What is already implemented
The Vertex adapter can already verify Google identity at the edge, forward intent into Decionis Protocol, and return a governed verdict with Decision Dossier proof, verification metadata, and verified_decision metering data.
Execution control retained
What Decionis preserves around a Google stack
- Policy-gated execution before downstream action
- Human approval paths when policy or confidence requires it
- Decision Dossier and verification envelope for each governed action
- Validation packs with integrity hashes for audit and supervisory review
- Org-wide and per-decision kill switches for controlled rollback
Why this matters for enterprise trust
Versus ServiceNow IRM
ServiceNow IRM is broader integrated risk management. Decionis is narrower and stronger when the requirement is policy-gated execution before an action proceeds.
Versus IBM OpenPages
IBM OpenPages is broader GRC software for enterprise risk programs. Decionis sits closer to the point of action and returns one governed verdict before execution.
Versus Alloy
Alloy is stronger for identity, fraud, onboarding, and credit decisioning. Decionis governs broader enterprise execution across payments, approvals, routing, and AI-driven actions.
Versus Guardrails AI
Guardrails AI focuses on model and output controls. Decionis governs whether a real operational action should execute and records a signed Decision Dossier when it does.
Versus Lakera
Lakera helps protect AI systems from prompt and runtime threats. Decionis evaluates institutional policy against intent and signals before downstream action happens.
Versus LangChain Guardrails
LangChain Guardrails shapes agent behavior inside app runtimes. Decionis is one layer closer to business execution, returning a single governed verdict tied to audit evidence and kill-switch controls.
Enterprise hardening path
Google OIDC / WIF
Adapter-edge Google identity verification is available now and can move from optional to required per deployment.
Observability
Structured logs emit project, location, subject, verdict, and metering labels so Cloud Logging and Monitoring can ingest them cleanly.
Metering
The adapter already returns a verified_decision metering unit so downstream billing and reporting can attach to a stable control-plane event.
PSC / regional / CMEK
These remain enterprise deployment hardening tracks. They strengthen the Google posture without changing the Decionis Protocol decision boundary.
FAQ
How does Decionis fit into a Google Cloud or Vertex AI stack without losing governance or human approval?
Decionis fits as a thin Vertex AI Extension or ADK tool surface that forwards agent intent into Decionis Protocol for the actual governed decision. The adapter can verify Google identity at the edge, then return one governed verdict, Decision Dossier proof, and billable verified_decision metadata while Google Cloud and Vertex AI stay in the distribution and intelligence layer.
Why choose Decionis over ServiceNow IRM or IBM OpenPages?
Choose Decionis when you need policy-gated execution before an action happens, not only governance, risk, and compliance management after the fact. ServiceNow IRM and IBM OpenPages are strong for broad GRC programs, issue tracking, and control management, while Decionis is optimized to sit in the execution path and return one governed verdict before money moves or system state changes.
What tradeoffs should a buyer understand when choosing Decionis versus ServiceNow IRM or IBM OpenPages?
A buyer should view Decionis as a specialized execution control plane rather than a full replacement for enterprise GRC suites. ServiceNow IRM and IBM OpenPages may offer broader program management, policy administration, and enterprise risk workflows, while Decionis is narrower and stronger at deterministic pre-execution enforcement across systems and AI-driven actions.
How is Decionis different from Guardrails AI, Lakera, or LangChain Guardrails?
Guardrails AI, Lakera, and LangChain Guardrails primarily focus on LLM safety, prompt controls, model behavior constraints, or agent runtime protections. Decionis operates one layer closer to business execution: it evaluates institutional policy against intent and signals, then returns a governed operational verdict that determines whether the action can proceed.
Is Decionis legitimate and trusted for governed autonomous execution?
Yes. Public trust signals include Microsoft ISV Partner status, NVIDIA Inception participation, public docs and quickstart flows, security and governance materials, signed Decision Dossier verification, validation packs, and org-wide and per-decision kill switches.
How does Decionis stay cloud-agnostic while Microsoft Teams and Power Automate remain workflow surfaces today?
Teams and Power Automate are workflow surfaces, not the permanent home for policy. Decionis governs the execution decision itself, so it can sit in front of Microsoft, Google Cloud, Vertex AI, ERP, and other stacks while keeping the same proof, approval, and Decision Dossier model.
Can Decionis work with Google Cloud or Vertex AI while preserving the current Microsoft Teams, Power Automate, and Decision Dossier proof story?
Yes. Decionis can govern Google Cloud or Vertex AI driven execution while Teams and Power Automate remain the current collaboration and workflow surfaces. The Decision Dossier, verification envelope, validation pack, human-approval posture, and enterprise hardening path for PSC or regional/CMEK controls remain aligned.
The operating model stays stable
Teams and Power Automate can remain the current workflow surfaces. Google Cloud and Vertex AI can sit behind the governed execution boundary. Decionis keeps the same proof story intact across payment, credit, banking, compliance, HR, hospitality, trading, and AI-driven workflows: one governed verdict, one Decision Dossier, one validation-pack layer, and explicit human-approval and rollback controls when they are required.