ASADI.AI

FINTECH SYSTEMS · CASE RECORD

GOVERNANCE-FIRST
AI InfrastructureCASE RECORD

Equira

Multi-tenant AI workspace — sovereign agent orchestration with tenant isolation, phase gates, and evidence-first workflows.

Operator impact

Eliminated cross-tenant data exposure risk by design — enterprises get isolated AI workspaces with verifiable provenance on every workflow output.

01PRIMARY SURFACEAI INFRASTRUCTURE
07 / EQUIRAON RECORD
Equira workspace — sovereign federation command center
Equira workspace — sovereign federation command center
02BUILD SCOPE
Multi-tenant platformagent orchestration enginephase-gated workflowsevidence pack systemadmin + tenant portals
03PROBLEM / ROLE

Problem

Multi-tenant AI platforms routinely share context across boundaries and let agents chain unchecked — creating data leakage risk and unattributable failures that enterprises can't tolerate.

Role

  • Sole engineer — platform architecture through implementation
  • Designed the isolation model, phase gate protocol, and evidence pack format
  • Built both admin and tenant-facing portals
04APPROACH / OUTCOMES

Approach

  • Built a full multi-tenant platform where each organization gets an isolated AI workspace
  • Tenant isolation enforced at the orchestration layer — no shared agent memory or cross-tenant context
  • Phase gates between agent steps: output must pass verification before the next agent runs
  • Evidence packs (receipts + provenance) generated for every workflow completion
  • Structured handoffs with explicit input/output contracts — no implicit state passing
  • Failure halts the chain — agents cannot skip gates or self-promote to the next phase

Outcomes

  • Zero cross-tenant data exposure by design, not configuration
  • Every workflow output is traceable to its inputs, agent decisions, and source data
  • Governance patterns proven in fintech (Truvesta, Ardura) generalized into reusable infrastructure
05PROOF LEDGER04 ENTRIES
  • Hard tenant isolation at orchestration layer — not just row-level security
  • Evidence packs with full provenance attached to every workflow output
  • Phase gates between every agent step: outputs verified before next agent runs
  • Governance patterns from Truvesta/Ardura generalized into reusable platform infrastructure
06REFUSED PATHSFAIL-CLOSED BY DESIGN

What I refused to build

These constraints are part of the engineering signal: the work stayed useful because the unsafe shortcut paths stayed out.

  • R-01Shared-context multi-agent execution — each tenant runs in an isolated cage
  • R-02Implicit state passing between agents — all handoffs use explicit contracts
  • R-03Agent self-promotion — no skipping verification gates regardless of confidence
07STACK / ACCESS

Stack

Next.jsPythonFastAPIOrchestrationEvidence Packs

Hiring signal

This is the kind of work I want ASADI AI to make legible first: fintech systems where product direction, architecture, execution, and governance all have to line up.