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Industry Leading - Enterprise AI Platform

12 Weeks Timeline

A company-wide AI platform that turns Human Habitats into a data-driven powerhouse: live scenario modelling, end-to-end regulatory analytics, interactive advisory bots, and cross-business intelligence that can be monetised as its own product offering.

Enterprise Architecture Overview

Streaming Ingest

Real-time feeds: property sales, traffic counts, ABS population, IoT sensors

Kafka / PubSub

Enterprise Data Lakehouse

Unified batch + streaming store; versioned data & ACID

Delta Lake / Iceberg

Data Warehouse

Curated business tables & Marts

BigQuery/Snowflake

Vector DB (Hybrid)

pgvector for short-term + Weaviate for high-dim text

Hybrid Vector Store

Predictive & Simulation Engine

Urban modelling libraries, Monte-Carlo simulations

Python/R Containers

Interactive Advisory Layer

ChatOps, Web, Voice interfaces

Multi-channel Bot
Mature Workflows (WF-15 to WF-22)

WF-15: Real-Time Signal Ingest

Consumes external market & environment feeds into Lakehouse

Trigger: Kafka Trigger (streaming)

WF-16: Town-Planning Scenario Predictor

Monte-Carlo & ML ensemble predicts approval likelihood, timeline & economic uplift under multiple zoning scenarios

Trigger: Planner request via Slack/Web

WF-17: Automated Regulatory Delta Watch

Continuously watches planning scheme amendments & alerts if they impact any active or prospect sites

Trigger: Nightly scrape

WF-18: Interactive Advisory Bot (ChatOps & Voice)

Natural-language interface covering full knowledge base, scenario predictions & compliance status

Trigger: Slack Bot, Teams Bot, Twilio Voice

WF-19: Auto-Draft Investment Prospectus

Generates polished, investor-grade prospectus for large precinct/greenfield

Trigger: Web UI request

WF-20: Live Project Health Dashboard

Roll-up of KPIs, forecasts, resource burn, compliance risk & external market signals

Trigger: Every 30 minutes

WF-21: Cross-Business Expansion Connector

Feeds anonymised, de-identified intelligence to potential SaaS product or partner APIs

Trigger: Nightly

WF-22: Automated ISO 27001 & GDPR Compliance Reporting

Auto-collecting logs & generating security docs for product-sale readiness

Trigger: Weekly
Extended Warehouse & Lakehouse Schema

Lakehouse keeps raw parquet for every ingestion topic: /bronze/drive/, /silver/market/, /gold/project/

TableNew/Extended ColumnsPurpose
scenario_simscenario_id, project_id, input_vector, output_metrics, run_tsStores Monte-Carlo results
reg_delta_alertalert_id, clause_id, project_id, impact_score, tsTrack scheme changes & responses
advisory_chat_logchat_id, user, intent, response_vector_id, tsTrain future models, audit
stream_market_signalsignal_id, type, geo_hash, value, tsReal-time property & traffic feeds
iso_audit_logentry_id, control, status, evidence_path, tsCompliance readiness
Roadmap Timeline (12 Weeks)
0

Sprint 0

Lakehouse infra, Kafka, security baselines

Key Milestone:

Lakehouse running

1

Sprint 1 (Weeks 1-2)

WF-15 streaming ingest

Key Milestone:

Live signals & diffs

2

Sprint 2 (Weeks 3-4)

WF-16 scenario engine

Key Milestone:

Planner simulations

3

Sprint 3 (Weeks 5-6)

WF-17 delta watch + WF-18 bot (text)

Key Milestone:

Real-time clause alerts

4

Sprint 4 (Weeks 7)

Voice in advisory bot

Key Milestone:

Call-in advice line

5

Sprint 5 (Weeks 8-9)

WF-19 investor prospectus

Key Milestone:

First prospectus PDF

6

Sprint 6 (Weeks 10)

WF-20 live dashboard v1

Key Milestone:

Exec KPIs auto-refresh

7

Sprint 7 (Weeks 11)

WF-21 API commercial pilot

Key Milestone:

External sandbox

8

Sprint 8 (Weeks 12)

WF-22 ISO/GDPR reporting

Key Milestone:

Audit pack delivered

Value Stack & Impact

Efficiency

65 – 80% reduction in manual analysis & drafting

Accuracy

Stat scheme deltas flagged within 12h; scenario forecast MAE < 8 days

Strategic Insight

Live simulations reveal uplift / risk trade-offs instantly

Revenue

New data-as-a-service stream (WF-21) & premium advisory bot

Compliance

Audit-ready ISO 27001 pack, GDPR evidence logs

Competitive Edge

Only firm offering live predictive town-planning intelligence at scale

Key Decisions Before Kick-off

Lakehouse Technology

Delta Lake on Databricks vs Apache Iceberg + Spark-on-K8s

Simulation Stack

Python (UrbanPy, pymc3) vs dedicated engines (MATSim) containerised

Voice Channels

Twilio vs Microsoft Teams voice

Commercial Model

Free beta vs paid tier (rate limits, SLA)

Security Posture

Central secrets vault (AWS Secrets Manager) + SOC-2 ambitions

Ready-to-Go Artefacts
n8n JSON exports for WF-15 → WF-22
Spark job templates for Delta Lake writes
Python sim dockerfile with sample Monte-Carlo notebook
ISO 27001 control mapping spreadsheet
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Ready to Lead the Industry?

Let's discuss the enterprise platform that will position Human Habitats as the industry leader in AI-powered town planning. This industry-leading solution delivers 65-80% efficiency gains and opens new revenue streams in 12 weeks.