Who builds Decionis?
Decionis is built by an enterprise operating team with experience in financial systems, procurement decisioning, integrations, and rollout execution.
Team and company
Who builds Decionis and why that matters
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.
Direct answers
The trust questions answered plainly
Stated openly rather than left to be inferred, so you do not have to piece together whether this is real from scattered mentions.
What is the team's reputation in this category?
The public reputation signal comes from operator depth, partner ecosystem credibility, and a narrow focus on deterministic control instead of vague automation claims.
Why should you trust this team?
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.
Leadership
Named builders with operating depth
Decionis is not an anonymous AI tool. It is built by a named team with domain experience in financial systems, procurement, platform architecture, and production rollouts.
Founder and Chief Executive Officer
Festus .B. Jejelowo
20+ years building trust-critical enterprise systems
Built financial and enterprise systems where auditability, routing discipline, and execution safety mattered from day one.
Chief Technology Officer
Shaguy Terseer
Former CTO, Nigeria Inter-Bank Settlement System (NIBSS); high-scale payment engineering
Built high-scale payment systems as a CTO: designed and deployed the Bucks Digital Banking System, and served as CTO at the Nigeria Inter-Bank Settlement System (NIBSS). Enterprise architecture across digital payments modernization and cloud and distributed systems. MSc, Brown University.
Chief Product Officer
Dapo Okegbemila
15+ years in procurement and commercial operations
Mapped more than 50 procurement decision points into explicit policies, controls, and workflow gates.
Platform Engineer
Segun Adebumiti
Enterprise integration and platform engineering
API design, data pipelines, and deployment patterns for policy-aware execution systems, and the connectors that carry decisions into them.
Public proof
What you can verify without talking to us
Partner reviews we have actually passed, and numbers from systems that are actually running. Check any of them.
Microsoft ISV Partner
Listed and reviewed inside the platforms your procurement and security teams already trust.
NVIDIA Inception
AI infrastructure ecosystem signal for technical diligence and category legitimacy.
AWS Activate
Amazon's startup program — cloud ecosystem alignment for governed execution.
Public docs and quickstart
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.
Security and governance materials
Public trust pages describe RBAC, SSO posture, deployment model, tradeoffs, and audit evidence instead of hiding the control story behind a sales process.
Signed Decision Dossiers
Every certified action can produce signed Decision Dossier proof that can link into a Decision Chain and Execution Ledger for regulator and reviewer workflows.
Policy snapshots and override evidence
Policy Snapshot, Override Dossier, Policy Drift, and saved-risk-value artifacts make exceptions, approvals, and prevented exposure inspectable.
Kill switches
Org-wide and per-decision kill switches give teams a visible rollback and restraint surface for high-stakes autonomous execution.
16,000+
Decisions evaluated to date
More than 16,000 decisions evaluated across the protocol ledger to date, sandbox and Shadow Mode evaluations included. A founder-verified floor (2026-07-16); live counters on this site update from the public metrics API.
<120ms
Deterministic decision compute at checkout (p95)
At p95, the checkout gate's decision compute finishes in under 120 milliseconds, so the margin, coupon, and over-sell checks return before the order commits. It is a benchmarked target, not an SLA.
Read-only
Shadow Mode install with no checkout changes
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.
<5 minutes
Target time to first structured decision
Evaluate fit in shadow mode before you enforce anything or commit to a deeper integration.
Shadow first
A rollout readout with ROI and audit evidence
Shadow mode measures workflow coverage, evidence capture and rollout readiness on your own traffic before anything is enforced.
Same-day
Zero-configuration deployment path
Map your signals, set a governance baseline and activate your first workflow on the same day.
Trust grows when the company explains itself directly.
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