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Prong 03 // Reference Systems & Modules
AI Systems & Module Catalog
Start with an operating pressure, inspect the technical boundary, and shortlist the systems worth a fit review. Every module defines inputs, controls, outputs, evidence, and non-fit conditions before production work begins.
Catalog status: These are implementation reference scopes, not one-click software purchases. A fit review confirms integrations, controls, ownership, and delivery boundaries before work begins.
Decision route 01 // Start with the pressure
Which operating problem needs to move?
Choose the closest pressure to narrow the catalog. The result is a starting hypothesis—not an automated architecture decision.
Catalog modules
Architecture
Deterministic control boundaries
Delivery
Proof → hardening → transfer
Ownership
Source, tests, and runbooks
Measurement
Baseline before outcome claims
License Type:
Solution shortlist · 0/3
Compare up to three systems, then carry the exact shortlist into a fit review.
Software Engines
CommercialFlagship System
Hardonia Suite Client Operations Fabric
Multi-channel e-commerce automation, inventory sync & reconciliation engine
Complete operational backbone connecting multi-channel storefronts, warehouse inventory feeds, order triage, and automated supplier routing with deterministic reconciliation.
Operational outcome
Create one reconciled operating picture across orders, inventory, exceptions, and supplier actions.
Strongest fit
- Multi-channel commerce teams reconciling storefront and warehouse state
- Operators spending recurring time on stock, order, or supplier exceptions
Architecture boundary
Decoupled event-driven architecture with deterministic policy gates on stock allocation and supplier dispatch.
TypeScriptNext.jsPostgreSQL / SupabaseZodTailwind CSS
Core Architecture Features:
- Real-time multi-channel inventory synchronization
- Deterministic order classification and fraud rule evaluation
- Automated supplier purchase order generation with human approvals
- Comprehensive exception management dashboard with telemetry
Software Engines
CommercialEcosystem Partner
Settler Deployment & Rollback Fabric
Deterministic release orchestrator with automated policy verification and health gating
Production deployment control plane built for static-first and edge-native applications. Enforces verification suites, schema integrity, and rollback triggers designed to minimize disruption.
Operational outcome
Turn release policy into an enforceable path from verified artifact to observable rollback.
Strongest fit
- Teams shipping multiple static, edge, or containerized services
- Platforms where failed releases require faster, evidence-backed recovery
Architecture boundary
Stateful release orchestrator enforcing CI/CD gates and health probe telemetry before traffic routing.
Node.jsTypeScriptDockerGitHub ActionsVercel / Cloudflare
Core Architecture Features:
- Automated pre-flight verification test suite execution
- Canary health telemetry with deterministic rollback triggers
- Environment variable validation and secret isolation
- Audit-ready changelog generation and deployment receipts
Turnkey Workflows
CommercialHigh Throughput
Zeo High-Throughput Ingestion & ETL Engine
Unstructured document parser, schema normalizer and verified data pipeline
Transforms messy incoming invoices, shipping manifests, and PDF contracts into validated, strictly typed JSON records with human escalation on low-confidence extractions.
Operational outcome
Convert document variability into typed records with measurable extraction quality and owned exceptions.
Strongest fit
- Teams processing recurring document families at operational volume
- Workflows with known schemas and reviewers for ambiguous fields
Architecture boundary
Dual-phase pipeline: AI extraction followed by strict deterministic schema validation and policy gating.
PythonTypeScriptZodOCR EngineFastAPI
Core Architecture Features:
- Multi-format ingestion (PDF, scan images, CSV, webhook streams)
- Deterministic schema extraction with strict Zod validation
- Confidence scoring with automatic routing to operator review queue
- Export connectors for ERPs, CRMs, and SQL data warehouses
Turnkey Workflows
CommercialConversion Booster
Reach Demand Qualification & Intent Triage
Inbound lead enrichment, buying intent scoring, and deterministic routing system
Models how inbound submissions can be enriched, classified against explicit constraints, and routed to an accountable owner.
Operational outcome
Move qualified demand to the right owner faster while keeping scoring and enrichment explainable.
Strongest fit
- Revenue teams with multiple lead sources and routing rules
- Organizations losing time to manual research and inconsistent qualification
Architecture boundary
Web-native intake controller with a deterministic scoring matrix and client-approved CRM connector boundary.
TypeScriptNext.js App RouterZodCRM Webhooks
Core Architecture Features:
- Configurable intake classification and enrichment budget
- Deterministic qualification score based on organizational constraints
- Automated calendar routing with pre-populated strategy dossiers
- Privacy-requirement mapping with explicit retention and access controls
Software Engines
CommercialE-Commerce Core
TokPulse Social Commerce Growth Core
E-commerce social campaign analytics, trend detection & automated content intelligence
Autonomous analytics engine designed for modern e-commerce brands scaling TikTok and multi-channel social storefronts with predictive inventory recommendations.
Operational outcome
Connect content momentum to SKU demand and inventory decisions before signals disappear into channel dashboards.
Strongest fit
- Commerce brands publishing consistent short-form campaign volume
- Teams linking social performance, product demand, and replenishment decisions
Architecture boundary
Stream processing analytics engine linked to social commerce APIs with automated trend alerts.
PythonTypeScriptNext.jsFastAPIPostgreSQL
Core Architecture Features:
- Trend velocity scoring and social product interest tracking
- Automated content performance attribution and SKU linkage
- Inventory replenishment recommendations based on viral signal spikes
- Brand-safe content generation and copy suggestions
Governance Kits
Open SourceOpen / Pro Pack
Deterministic Policy & Zod Guardrail Kit
Reusable TypeScript & Zod boundary layer for reliable AI orchestration
Reusable governance reference architecture for validating actions before execution, reducing exposed sensitive data, and producing replayable decision records.
Operational outcome
Stop invalid or high-risk AI actions before execution and leave a replayable decision record.
Strongest fit
- Engineering teams adding tools or actions to LLM workflows
- Operators who need consistent schemas, escalation, and audit evidence
Architecture boundary
Zero-dependency TypeScript module designed to wrap any LLM or automation pipeline with deterministic gates.
TypeScriptZodVitest
Core Architecture Features:
- Pre-built Zod schemas for system inputs, actions, and outputs
- PII scrubbers with regex and semantic masking
- Confidence score evaluation with human-in-the-loop triggers
- Structured audit trail generator compatible with SIEM / logging tools
UI Kits
CommercialUI / UX Kit
Human-in-the-Loop Operator Console Kit
Lightweight triage, exception management, and review dashboard UI component library
High-contrast neo-brutalist dashboard components for operators managing AI exceptions, pipeline approvals, risk score reviews, and lead qualification queues.
Operational outcome
Give every automation exception an owner, evidence trail, decision path, and service-level clock.
Strongest fit
- Teams operating sustained review, approval, or exception queues
- Systems where human decisions must be attributable and replayable
Architecture boundary
Accessible React UI components built with Radix primitives and Tailwind CSS token architecture.
React 19Next.jsTailwind CSSRadix UIFramer Motion
Core Architecture Features:
- Queue triage view with one-click approve/reject/escalate actions
- JSON payload diff viewer with anomaly highlighting
- Operator audit trail and notes timeline component
- Full dark/light mode with keyboard shortcut navigation
Turnkey Workflows
CommercialWorkflow Pack
Autonomous Invoice & Financial Doc Parser
Pre-configured n8n & LangGraph workflow pack for accounts payable automation
Reference accounts-payable workflow for ingesting PDF invoices, validating extracted line items, reconciling purchase-order records, and drafting approval batches with confidence-based review.
Operational outcome
Turn incoming invoices into validated draft payables while keeping posting authority with accountable reviewers.
Strongest fit
- Accounts-payable teams with repeatable PO-backed invoice volume
- Organizations measuring exception cost and approval-cycle time
Architecture boundary
Event-driven workflow DAG with deterministic three-way matching logic and approval escalation.
n8n / LangGraphTypeScriptZodERP Webhooks
Core Architecture Features:
- Multi-currency line item and tax extraction
- Three-way matching against purchase orders and receipts
- Automated ERP bill creation with draft status
- Slack / Teams notification bot for manager approvals
Delivery route // From reference to owned operation
Evidence at every exit
Scope expands only when the previous stage produces decision-grade evidence. That keeps experimentation cheap and production risk visible.
- 01
Fit and boundary review
Map the workflow, decision owner, source systems, constraints, and the smallest valuable proof boundary.
Exit evidence
Signed-off problem frame, source inventory, risk register, and measurement plan.
- 02
Representative proof
Run real but controlled fixtures through the proposed path and expose every reject, escalation, and cost decision.
Exit evidence
Reproducible fixtures, baseline comparison, failure evidence, and a build-or-stop decision.
- 03
Production hardening
Add idempotency, policy gates, observability, access boundaries, runbooks, and rollback behavior around the core workflow.
Exit evidence
Acceptance results, operator walkthrough, release plan, and owned incident paths.
- 04
Transfer and measured rollout
Release against agreed thresholds, train accountable operators, and compare live results with the original baseline.
Exit evidence
Source and artifact transfer, operating cadence, outcome review, and prioritized next decisions.
Buyer questions // Answered directly
Before you shortlist a system
Are these finished SaaS products or reference implementations?
They are implementation-ready reference scopes: reusable architecture, controls, test patterns, and delivery artifacts adapted to your systems. They are not one-click subscriptions, and the site does not imply that an unconfigured module is production-ready for every environment.
Can AIAS work with our existing stack?
Usually. The fit review identifies authoritative sources, integration contracts, identity boundaries, observability, and ownership before selecting adapters. A module is reshaped around those constraints rather than forcing a platform replacement.
How do you prove value without inventing ROI?
We agree on a baseline and measurement contract first: volume, cycle time, exception rate, quality thresholds, operating cost, and who validates each result. Public examples are planning references; outcome claims belong to the measured engagement context.
What remains human-owned?
Policy approval, exception resolution, sensitive access, material external actions, and go-live acceptance remain assigned to named people. Automation can prepare evidence and recommendations without obscuring accountability.
What do you need for an initial fit review?
A representative workflow, approximate volume, current tools, the accountable owner, known failure modes, and any security or retention constraints. Sanitized examples are enough for the first conversation; do not submit production secrets or regulated data through the public site.
What if the selected module is not the right fit?
We will say so. The shortlist starts the conversation, not the architecture decision. The appropriate next step may be a smaller diagnostic, a different module combination, process cleanup before automation, or no build at all.
Need Bespoke Customization?
Hire AIAS Engineers to Adapt Any Catalog Module
Catalog entries are reference scopes. We can adapt the relevant architecture to your systems, control requirements, ownership model, and deployment boundary. Bring one representative workflow, approximate volume, known failure modes, and the person who owns the outcome.