Decionis checks institutional policy before payments, approvals, compliance actions, and AI-driven workflows proceed. One governed verdict. One signed Decision Dossier.
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Execution control plane for governed decisions
Enterprise platforms remain workflow surfaces. Decionis keeps institutional policy, enterprise routes, and validation evidence in the control plane.
Teams, Power Automate, and Azure act as workflow and distribution surfaces. Decionis governs intent before these surfaces execute. Policy stays in the control plane, not in the workflow tool.
ServiceNow GRC and IRM modules serve as policy input surfaces. Decionis encodes that institutional logic into the Policy Decision Graph and returns governed verdicts with full Decision Dossier proof.
Agentforce and Salesforce CRM remain revenue workflow surfaces. Decionis intercepts revenue-impacting actions — discount approvals, contract modifications, deal escalations — and enforces policy before financial state changes.
Claude and other LLM agents provide the reasoning layer. Decionis provides the deterministic execution boundary — every agent intent passes through the Action Gate before state mutation occurs.
Every use case maps to the same architecture: surfaces submit intent, the Kernel enforces policy, the Decision Dossier provides proof.
The Decionis Kernel enforces credit policy, liquidity caps, and AML/KYC checks before a single dollar moves. Every disbursement produces a signed Decision Dossier — audit-ready on day one.
Verified by 1 Commercial Bank and 3 Microfinance Institution LOIs.
AI agents propose discount changes, contract modifications, and deal escalations. Decionis intercepts every revenue-impacting action and enforces institutional pricing policy before CRM state changes.
Prevents AI agents from modifying enterprise contracts without a deterministic audit trail.
Institutional policy shouldn't live in 5 different tools. Decionis encodes governance once in the Policy Decision Graph and enforces it uniformly across Microsoft, ServiceNow, Salesforce, and AI agent interactions.
Consistent policy enforcement across all 4 platform surfaces.
Every governed action produces a cryptographically signed audit artifact. Click any section to understand its value to a Bank Auditor or CRO.
Click any section of the Decision Dossier to see what it means for compliance, audit, and risk management.
Satisfy EU AI Act Article 12 and SEC/FINRA requirements the moment you go live. Every Decision Dossier is immutable, timestamped, and cryptographically signed.
The architecture order never changes. Surfaces submit intent, the Kernel enforces policy, and the Decision Dossier provides proof.
Salesforce, ServiceNow, Microsoft Teams, and Anthropic agents submit intent, context, and signals to the Universal Action Gate. The platform remains the workflow surface — it does not own policy.
The Action Gate resolves the Policy Decision Graph, applies encoded institutional rules and strategy bindings, and determines: execute, block, escalate, or hold.
Decionis returns the decision, verification envelope, and portable Decision Dossier. Teams, Jira, Salesforce, ServiceNow, and email render or share that artifact afterward.
Adoption is measured by governed decision throughput and policies encoded — not by seats or dashboard sprawl.
For Chief Risk Officers: how Decionis eliminates the “Black Box” problem when adopting AI at institutional scale.
| Dimension | Status Quo (Probabilistic) | With Decionis (Deterministic) |
|---|---|---|
| AI Output Trust | Hallucinations = Operational Loss | Kernel Enforcement = Binary Compliance |
| Audit Coverage | Manual sampling (~5% coverage) | 100% real-time Dossier generation |
| Compliance Standard | "Reasonable effort" documentation | Cryptographic proof (Ed25519, ISO-20022) |
| Risk Exposure | High — no execution boundary | Eliminated — deterministic gate on every action |
| Cross-Platform | Policy fragmented across tools | One Policy Graph enforced on all surfaces |
"We could have wasted resources. Decionis told us to do nothing — and that was exactly the right call."
Most workflow and AI tools optimize for speed or output volume. Decionis optimizes for governed execution quality across every enterprise surface.
Deterministic execution controls, not probabilistic routing. The Kernel enforces, it does not improvise.
Every execution includes inputs, policy checks, and accountability context. Full Decision Dossier for every action.
Active monitors detect signal reversals. Decionis auto-revokes and issues re-decision records when conditions change.
If the signal isn't clear, Decionis stays quiet. Constrained autonomy beats magical autonomy.
As autonomous systems, copilots, and workflow automations make more consequential decisions across more platform surfaces, governed execution becomes mandatory.
Agentic tools, copilots, payment automations, and workflow bots are spreading across every enterprise function. Without an execution control plane, each new surface becomes a risk vector.
EU AI Act Article 12 requires traceability. SEC/FINRA requires audit trails. Central Banks require execution provenance. The compliance clock is ticking.
Policy lives in 5 different tools. No single system governs execution across Microsoft, ServiceNow, Salesforce, and AI agents. Decionis fills that gap.
Decionis exists because enterprises don't have a software problem — they have a governance problem. Automation is moving faster than institutional policy can follow.
To give regulated institutions the execution control plane they need to govern autonomous operations safely across every enterprise surface.
Most workflow and AI tools optimize for speed and output. We optimize for decision quality, institutional trust, and audit defensibility.
Incentive-neutral by design. No affiliates, no sponsored recommendations, no vendor bias. Consistent policy enforcement across every platform surface.
Documented, defensible, reversible.
Gates decisions, doesn't guess.
No affiliates. No bias.
One policy engine, every surface.
20+ years building trust-critical enterprise systems. We've shipped decision infrastructure across fintech, supply chain, and enterprise platforms.
Built trust-critical production systems across fintech and enterprise. Deep expertise in AI/ML decision trees, reinforcement learning, and optimization algorithms — not just LLMs.
Led procurement, supply chain, and commercial finance at enterprise scale. Mapped 50+ decision points in procurement workflows and translated them into enterprise policy controls.
API design, data pipelines, and enterprise security patterns. Built connectors to ERP systems, P2P tools, supplier portals. Deep expertise in real-time decision systems.
Every signal and decision creates a feedback loop. Confidence scores improve with each cycle across all platform surfaces.
Every signal is logged with metadata. Historical patterns improve anomaly detection and confidence scoring over time.
Active monitors detect signal reversals. When conditions change, Decionis automatically re-evaluates and can revoke prior decisions.
Historical accuracy feeds back into confidence scoring. Domains where Decionis performs well get higher weight automatically.
Have questions about Decionis? We'd love to hear from you.
Decionis is a cross-platform decision infrastructure that enforces institutional policy before execution and returns one governed verdict such as authorize, block, escalate, or restrain before money moves or system state changes.
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 broader GRC platforms, while Decionis is optimized to sit in the execution path and return one governed verdict before money moves or system state changes.
Decionis is a specialized execution control plane, not a full replacement for enterprise GRC suites. ServiceNow IRM and IBM OpenPages are broader for program management, control administration, and enterprise risk workflows, while Decionis is narrower and stronger at deterministic pre-execution enforcement with signed audit artifacts.
Guardrails AI, Lakera, and LangChain Guardrails focus on LLM safety, prompt controls, runtime protections, or agent behavior. Decionis operates one layer closer to business execution: it evaluates institutional policy against intent and signals, then decides whether a real-world action can proceed.
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.
Decionis fits as a thin Vertex AI Extension or ADK tool surface that forwards agent intent into Decionis Protocol for the actual governed decision. Google Cloud and Vertex AI stay in the intelligence and distribution layer while Decionis preserves deterministic policy checks, human approval, kill switches, and audit-grade Decision Dossiers.
Yes. Teams and Power Automate can remain workflow surfaces while Google Cloud and Vertex AI handle intelligence. Decionis stays in the execution path, returns one governed verdict, and keeps the Decision Dossier, validation pack, and approval proof model intact across both surfaces.
Decionis can sit across Microsoft Teams, Power Automate, Salesforce, ServiceNow, Google Cloud, Vertex AI, Jira, ERP systems, and API or webhook-driven enterprise workflows while keeping one policy boundary before execution.
Yes. Decionis supports autonomous execution with policy gates, while still blocking, escalating, or restraining gray-zone decisions and exposing kill switches when teams need to halt execution immediately.
Join teams reducing decision overload across payments, credit, banking, compliance, HR, hospitality, trading, and AI-driven execution with Decionis.
