Enhanced - Advanced AI Architecture
Custom built product designed for enhancing Human Habits AI processes with predictive analytics, automated compliance, and advanced reporting capabilities.
Data Lake
Raw docs & snapshots (Drive, Email, Jira, GIS)
Warehouse
Structured tables for analytics, compliance & ML
Vector DB
Semantic + filter search over chunk embeddings
Predictive Models
Forecasts approval timelines, RFI probability, resource burn
Rules Engine
Automated regulatory compliance validation
WF-7: Warehouse ETL & Historian
Nightly pipeline that cleans, versions and audits every data stream
WF-8: Predictive Analytics Service
Forecasts approval timelines, RFI probability, resource burn, etc.
WF-9: Automated Regulatory Compliance
Real-time scan of submissions against latest planning scheme clauses & overlays
WF-10: Retrieval API v2
Hybrid semantic + metadata search powering Slack, Power BI and other workflows
WF-11: Deep-Insight Report Generator
Multi-section PDFs with charts, compliance flags, forecasts & mitigation advice
WF-12: Auto-Response to Compliance Findings
Auto-draft RFI responses & resubmit for planner review when issues are flagged
WF-13: Resource & Workload Optimiser
Balances planner workloads using forecast durations & task queues
WF-14: Executive Dashboard Refresher
Keeps Power BI / Looker Studio datasets current
| Table | Key Columns | Sample Use |
|---|---|---|
| project | id, name, address, lga, service_line | Filters for every analysis |
| event_log | event_id, project_id, type, ts | Train RFI probability |
| doc_catalog | doc_id, project_id, type, path, checksum | Lookup for retrieval |
| compliance_audit | audit_id, doc_id, clause_id, status, ts | Compliance dashboards |
| forecast | forecast_id, project_id, metric, horizon, value, ts | Timeline predictions |
| resource_plan | staff_id, project_id, week, hours_planned | Workload optimiser |
| regulatory_clause | clause_id, lga, text, updated_at | Delta detection |
| embedding_index | chunk_id, vector, metadata | Pgvector if single-stack DB |
Sprint 0 (Weeks 0-1)
Infra, secrets, schema
Live Workflows:
—
Deliverable:
Lake + Warehouse online
Sprint 1 (Weeks 1-2)
WF-7 ETL back-fill
Live Workflows:
WF-7
Deliverable:
2-yr history loaded
Sprint 2 (Weeks 3)
WF-8 baseline forecasts
Live Workflows:
WF-7-8
Deliverable:
Approval duration model
Sprint 3 (Weeks 4-5)
WF-9 compliance engine
Live Workflows:
+ WF-9
Deliverable:
Auto flags on 3 pilots
Sprint 4 (Weeks 6)
WF-11 deep insight reports
Live Workflows:
+ WF-11
Deliverable:
Enhanced DD PDF demo
Sprint 5 (Weeks 7)
WF-13 workload optimiser
Live Workflows:
+ WF-13
Deliverable:
Staff roster suggestions
Sprint 6 (Weeks 8)
WF-14 dashboards, polish
Live Workflows:
All
Deliverable:
Full Enhanced Product live
| Dimension | Standard MVP | Enhanced Product |
|---|---|---|
| Automation scope | Manual triggers & drafts | Scheduled + exception-driven |
| AI depth | Retrieval-augmented gen | + Predictive ML & rules engine |
| Compliance | Manual checklist | Real-time clause validation |
| Reporting | 3 templates | Multi-section insights w/ charts |
| Oversight | Human on each draft | Only high-risk flags |
| Expected efficiency | 25-35% | 50%+ across planning ops |
Warehouse Selection
BigQuery (serverless) vs Snowflake vs single Postgres (pgvector)
Model Hosting
In-node Python vs managed AutoML
Rules Engine
Stay in n8n Function or adopt external (Drools / Rulex)
BI Tool
Power BI vs Looker vs Metabase
GIS Depth
Basic geocode vs full cadastral layers
Ready-Made Assets
n8n workflow JSON exports, SQL DDL, Python notebooks available
Ready for Enhanced AI Capabilities?
Let's discuss the advanced architecture and predictive analytics capabilities. Our enhanced solution delivers 50%+ efficiency gains across planning operations in just 8 weeks.