Technical Build & Deployment Track

From Blueprint
to Production System.

Two areas of technical solutions that design and build the AI systems your organisation needs — an AI-ready data architecture and automated workflow pipelines.

Every solution begins with a Requirement Gathering stage before any build begins.

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Human-in-the-Loop Governance Production-Grade Build Fixed-Fee Pricing Requirement Gathering First

Technical Solutions

Build the Systems. Deploy the Intelligence.

Unlike advisory engagements that deliver specifications, Solutions produce running systems — governed pipelines, knowledge architectures, and autonomous agents your organisation operates from day one.

Solution 1 · Data Foundation

AI-Ready Data Architecture Design & Build

Designs and builds the data foundation AI needs to stop hallucinating and start compounding on real business context. Covers data ingestion and pipeline design (Airbyte, MS Fabric Dataflow), data warehouse and lakehouse architecture (BigQuery, MS Fabric, PostgreSQL + MinIO), semantic modelling (dbt), orchestration (Airflow), visualisation (Power BI, Looker Studio, Apache Superset), and OpenMetadata cataloguing for lineage, ownership, and discoverability.

For: IT & Data Leaders at Maturity Level 1–2 whose AI is only as good as their data · Delivers: Architecture Strategy, Semantic Model, Governed Data Pipelines, OpenMetadata Catalogue, AI-Ready Data Foundation

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Solution 2 · Automation

AI Workflow Automation Design & Build

A two-stage engagement that runs requirement gathering and blueprint design first, then builds production-grade n8n/Make pipelines with LLM nodes, Human-in-the-Loop review gates, error-catch boundaries, and handover training. Stage A covers process discovery, SIPOC mapping, API integration audit, automation feasibility assessment, and a full cost model. Stage B delivers the live automation system.

For: Operations, IT & Digital Leaders at Maturity Level 2–3 · Delivers: Process Maps, Workflow Specifications, Production n8n/Make Pipelines, API Readiness Audit, System Prompt Libraries, Governance Controls

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Every solution starts with a Requirements Gathering stage.

A low-commitment entry point that maps your systems, audits your APIs, and produces a full build specification — before any pipeline or architecture is committed.

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Solution 1 · Data Foundation

AI-Ready Data Architecture Design & Build

Your AI is only as good as the data it accesses. This solution designs and builds the governed data foundation that eliminates hallucination and enables AI that compounds on real business context.

Technology Stack

Airbyte MS Fabric Dataflow BigQuery MS Fabric Lakehouse PostgreSQL + MinIO dbt Apache Airflow Power BI Looker Studio Apache Superset OpenMetadata

Stage A Requirement Gathering & Architecture Design

Systems inventory, API connectivity audit, RAG metadata mapping, and target database schema planning. Produces a full architecture build specification before any pipeline is built.

Systems & database inventory
RAG readiness & metadata mapping
Data quality assessment & gap analysis
Target architecture schema planning

Delivers: RAG Readiness Audit Report, Data Architecture Build Specification

Stage B Full Architecture Build

Builds the complete governed data architecture — ingestion pipelines, semantic models, orchestration, visualisation layer, and OpenMetadata catalogue for lineage and discoverability.

Ingestion pipelines (Airbyte / MS Fabric Dataflow)
Semantic modelling (dbt) & orchestration (Airflow)
Lakehouse/warehouse architecture build
OpenMetadata catalogue for lineage & ownership

Delivers: API-Accessible Data Lakehouse, Standardised Semantic Repository, OpenMetadata Catalog

Start with Requirement Gathering →

Solution 2 · Workflow Automation

AI Workflow Automation Design & Build

Automating unmapped processes only accelerates chaos. This engagement maps the process first, then builds a production pipeline you can operate — not a demo you need to rebuild.

Stage A Requirement Gathering & Blueprint Design

The low-risk entry point. We map your process end-to-end, audit your API connectivity, and produce a full build specification your team can own — before any pipeline is committed.

Process discovery & SIPOC mapping
API integration audit (rate limits, auth, payload schemas)
Human-in-the-Loop gate design
Full cost model with API token budgets

Delivers: Process Maps, API Audit Report, Technical Build Specification

Stage B Pipeline Build & Deployment

Translates the Stage A specification into production-grade n8n/Make pipelines with full governance, error handling, and handover training. A live system, not a prototype.

n8n/Make pipeline builds with LLM nodes
Human review gates & override controls
Error-catch boundaries & alert configuration
System prompt libraries & handover training

Delivers: Production Pipelines, Prompt Libraries, Governance Controls, Slack/Web Review Interfaces

Start with Requirement Gathering →

Advisory Services

Strategy Before Build

Solutions are most effective when preceded by an advisory engagement that maps your maturity, prioritises use cases, and establishes governance guardrails before any system is built.

Service 1 · Free