Your enterprise runs workflows in Salesforce, policies in ServiceNow, execution in Microsoft, and reasoning in AI agents. Decionis is the cross-platform decision infrastructure that enforces institutional policy across workflows, risk, AI, and transaction execution β before money moves or state changes.
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One governed decision before execution proceeds β across workflows, risk, AI, and transaction execution β with policy enforcement, verification envelopes, and a portable Decision Dossier that satisfies EU AI Act Article 12, SEC/FINRA, and Central Bank audit requirements.
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 β discount approvals, contract modifications, deal escalations β and enforces policy before financial state changes.
Claude and other LLM agents provide the reasoning layer. Decionis provides the deterministic execution boundary β every agent intent passes through the Action Gate before state mutation occurs.
Also integrates with: Google Cloud / Vertex AI Β· Deel Β· Workday Β· Jira Β· ERP Systems
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 β 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 β 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 β not by seats or dashboard sprawl.
For Chief Risk Officers: how Decionis eliminates the βBlack Boxβ 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 β no execution boundary | Eliminated β 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 β and that was exactly the right call."
Most AI tools optimize for output volume. Decionis optimizes for decision quality across every enterprise surface.
As autonomous agents make more financial decisions across more platform surfaces, deterministic governance becomes mandatory.
Salesforce Agentforce, Microsoft Copilot, and Anthropic Claude are being deployed across every enterprise function. Without a governance layer, each surface is 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 β they have a governance problem. AI is moving faster than institutional policy can follow.
To give regulated institutions the deterministic governance layer they need to adopt AI safely β across every enterprise surface.
Most 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 all 4 platform surfaces.
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 β 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.
Join the regulated institutions de-risking their AI execution pipelines with Decionis.