Who builds Decionis?
Decionis is built by an enterprise operating team with experience in financial systems, procurement decisioning, integrations, and rollout execution.
Before you let anything decide whether your money moves, you should know who built it. This page answers that plainly: who we are, what we have shipped, and what you can check without taking our word for it.
Stated openly rather than left to be inferred, so you do not have to piece together whether this is real from scattered mentions.
Decionis is built by an enterprise operating team with experience in financial systems, procurement decisioning, integrations, and rollout execution.
The public reputation signal comes from operator depth, partner ecosystem credibility, and a narrow focus on deterministic control instead of vague automation claims.
The team publishes real documentation, working implementation surfaces, its security posture and its tradeoffs — rather than asking you to take opaque AI claims on faith.
Decionis is not an anonymous AI tool. It is built by a named team with domain experience in financial systems, procurement, platform architecture, and pilot delivery.
Built financial and enterprise systems where auditability, routing discipline, and execution safety mattered from day one.
Mapped more than 50 procurement decision points into explicit policies, controls, and workflow gates.
Leads API design, data pipelines, and deployment patterns for policy-aware execution systems.
Partner reviews we have actually passed, and numbers from systems that are actually running. Check any of them.
Listed and reviewed inside the platforms your procurement and security teams already trust.
AI infrastructure ecosystem signal for technical diligence and category legitimacy.
Public API docs, an evidence index, a quickstart and working onboarding flows — so you can judge how deep the product goes before anyone books a call.
Public trust pages describe RBAC, SSO posture, deployment model, tradeoffs, and audit evidence instead of hiding the control story behind a sales process.
Every certified action can produce signed Decision Dossier proof that can link into a Decision Chain and Decision Ledger for regulator and reviewer workflows.
Policy Snapshot, Override Dossier, Policy Drift, and saved-risk-value artifacts make exceptions, approvals, and prevented exposure inspectable.
Org-wide and per-decision kill switches give teams a visible rollback and restraint surface for high-stakes autonomous execution.
Cumulative production scale: more than 16,000 execution decisions evaluated and certified across the protocol ledger to date — a founder-verified floor (2026-07-16). Live counters on this site update from the public metrics API.
Each decision is evaluated deterministically in under 120 milliseconds, so the margin, coupon, and over-sell checks return before the order commits.
Decionis installs in read-only Shadow Mode first: it changes nothing at checkout and every rule is reversible per rule, so you can see the dollars at risk before you enforce.
Teams can evaluate fit quickly before committing to a pilot or deeper integration program.
Paid pilots are packaged around measurable workflow coverage, evidence capture, and rollout readiness.
Public pilot onboarding supports same-day signal mapping, governance baseline setup, and initial workflow activation.
That is why Decionis publishes public comparison pages, quickstart docs, security posture, and named team credentials instead of relying on generic AI summaries.
Open quickstart