AI-enabled architecture for regulated enterprises
From Data Complexity to Business Clarity
Trusted by UK Government, finance, healthcare and global enterprises
Our Services
Enterprise Data Architecture
We design and deliver secure, compliant, and scalable enterprise data platforms. Our architects use AI-assisted modelling and pattern detection to accelerate delivery while maintaining rigorous design control.
We help clients with:
- Data Mesh, Data Fabric, and Lakehouse architectures
- Medallion and modular data pipelines
- Migration planning from on-prem to Azure, AWS, and GCP
- AI-assisted conceptual → logical → physical data modelling
- Automated detection of legacy schema patterns and technical debt
Result: modern platforms designed faster, governed better, and built to scale.
GenAI for Data & Analytics
Generative AI is embedded across our delivery lifecycle. We don’t just build AI — we use AI to transform how data is discovered, modelled, governed, and consumed.
Our capabilities include:
- Metadata extraction and automated lineage discovery
- AI-assisted ETL/ELT design and optimisation
- Business Event Analysis Modelling (BEAM) enhanced with AI
- Natural language analytics over governed data products
- AI copilots for analysts, developers, and governance teams
Result: accelerated insight generation with auditable AI use.
Governance, Risk & Compliance
We specialise in governance for highly regulated environments where auditability and traceability matter.
We deliver:
- GDPR compliance models and data retention designs
- DAMA-aligned governance frameworks
- Enterprise cataloguing and stewardship
(Purview, Unity Catalog, Informatica, Axon, EDC) - AI-assisted policy drafting and evidence preparation
- Automated data classification and tagging using AI
All governance activities follow human-in-the-loop control frameworks suitable for regulatory scrutiny.
Cloud Modernisation
Cloud migration is an opportunity to redesign for agility, scalability, and value — not just to “lift and shift”.
We work across all major clouds:
Azure — Databricks, Synapse, Purview, Fabric
AWS — Redshift, S3, DynamoDB, Glue
GCP — BigQuery, Looker, Vertex AI
With AI-enabled accelerators for:
- assessing technical debt
- report and dependency rationalisation
- migration wave planning
- FinOps forecasting and scenario modelling
Outcome: faster migration, lower cost, meaningful business outcomes..
Advisory & Leadership
We work as trusted advisors to CIOs, CTOs, and senior leadership.
We provide:
- Strategic data roadmaps aligned to business KPIs
- Target Operating Model (TOM) design
- Board-level assurance and standards
- AI-assisted scenario modelling and risk evaluation
- Cross-sector insight from finance, healthcare, government, defence, aerospace
AI Enhanced Methodology
Our AI-Enhanced Delivery Method
AI does not replace architects.
It amplifies their capability and reduces delivery friction.
At iTeQ, AI is embedded across our consulting lifecycle under strict governance controls.
1) Discovery & Assessment
We use AI to:
- summarise large estates and documentation
- automatically classify systems and data domains
- detect duplicate reporting assets
- extract regulatory references relevant to your organisation
Architects validate all outputs.
2) Data Modelling & Architecture Design
We use AI to accelerate:
- conceptual → logical → physical data models
- BEAM event modelling and requirements clustering
- pattern identification across existing schemas
- creation of architectural decision records
Final architectures are produced and owned by experienced enterprise architects.
3) Build & Implementation
AI assists with:
- ETL/ELT pattern generation
- unit test creation
- error tracing and dependency impact analysis
- documentation generation for HLDs/LLDs
Delivery remains human-led and standards-controlled.
4) Governance, Risk & Compliance
We use AI responsibly to:
- classify data assets
- support lineage discovery
- draft policy frameworks
- prepare audit responses
All AI activities operate under human review, traceable logs, and regulated-industry safeguards.
5) Operation & Value Realisation
We help clients deploy:
- natural language access to governed data
- AI copilots for analysts and data platform teams
- KPI scenario and forecasting models
Always within your security boundaries and without training models on your data.
Case Studies
HMRC – Enterprise Data Intelligence Platform
Client context
HMRC required a scalable enterprise platform to unify council tax and related datasets, improve governance, and establish a foundation for future AI initiatives.
What we delivered
iTeQ designed and implemented an Enterprise Data Platform on Azure Databricks and Unity Catalog, embedding Data Mesh principles and Medallion architecture. We implemented a GenAI-enabled Data Intelligence Platform to support secure insight generation and automated metadata discovery.
How AI was used responsibly
- AI-assisted metadata extraction and tagging
- automated lineage discovery with human validation
- natural-language access to governed data products
- AI-accelerated documentation and design records
Outcome
A governed, scalable platform ready for advanced analytics and responsible AI adoption, delivering strategic value across multiple HMRC programmes while meeting security and compliance expectations.
HMRC — Enterprise Data Intelligence Platform
“iTeQ brought clarity to a very complex landscape. They helped us design a modern data platform while maintaining the governance and security controls we need in central government. Their use of AI accelerated delivery without compromising rigour, and their architects were trusted partners throughout the programme.”
— Programme Director, HMRC
bet365 – Cloud Migration & Reporting Rationalisation
Client context
A multi-year Google Cloud migration programme was stalled. 3,500 legacy SQL reports and overlapping data pipelines were creating cost, latency, and operational risk.
What we delivered
Using Business Event Analysis Modelling (BEAM) combined with AI-assisted requirement clustering, iTeQ rationalised the reporting estate, designed the Enterprise Data Model, and defined the path to GCP migration.
How AI accelerated delivery
- automated grouping of duplicate/near-duplicate reports
- dependency mapping across SQL and data pipelines
- AI-assisted documentation and migration wave planning
Outcome
- migration timeline reduced from 4 years to 18 months
- report catalogue reduced from 3,500 to 350
- established a reusable blueprint for global data asset management
bet365 — Migration & Reporting Rationalisation
“The team at iTeQ were instrumental in getting our cloud migration back on track. They quickly understood our reporting estate, used innovative AI-enabled analysis to rationalise thousands of reports, and gave us a clear path forward. The reduction in complexity and time saved was significant.”
— Head of Data Architecture, bet365
NHS Staff Bank – Unified Workforce Data Platform
Client context
The NHS needed to unify workforce data across the UK to support national staffing, compliance monitoring, and service planning.
What we delivered
iTeQ architected a national Staff Data Bank on Salesforce infrastructure, applying conceptual and logical data modelling to guarantee quality, interoperability, and governance.
AI contribution
- AI-assisted creation of national data standards
- automated validation-rule suggestions
- accelerated metadata documentation
Outcome
A unified, compliant, and scalable workforce data platform supporting secure nationwide integration across NHS services.
NHS Staff Bank — Unified Workforce Data
“iTeQ helped us turn a fragmented workforce data landscape into a unified national platform. They combined deep architectural expertise with a practical understanding of NHS constraints and governance. Their support accelerated modelling and documentation and ensured our solution was both scalable and safe.”
— Programme Manager, NHS Workforce Programme
Home Office – Data Quality Indexing & Governance Assurance
Client context
Critical Home Office systems lacked measurable standards for data quality, creating compliance risk and eroding trust in analytics outputs.
What we delivered
iTeQ designed a configurable Data Trust Index and quality scorecard, embedding DAMA principles into enterprise architecture standards and governance processes.
AI contribution
- AI-assisted identification of data quality patterns
- automated suggestion of data quality rules and thresholds
- accelerated audit-evidence preparation
Outcome
The Home Office gained a measurable approach to identifying underperforming systems, strengthening both regulatory assurance and operational decision-making.
Home Office — Data Quality Indexing
“iTeQ provided exactly what we needed: a structured, defensible way to measure and improve data quality across critical systems. Their approach combined strong architectural discipline with AI-enabled analysis, giving us insight we simply didn’t have before.”
— Chief Data Officer, Home Office
DEFRA – Waste Tracking & Plastic Packaging Tax Data Model
Client context
DEFRA needed a robust data model to support UK-wide waste tracking and new plastic packaging tax regulations.
What we delivered
iTeQ defined conceptual and logical data models using Sparx, supported by a comprehensive data dictionary and business glossary, ensuring alignment with regulatory reporting obligations.
AI contribution
- automated glossary and dictionary drafting
- lineage inference between data elements and regulations
- accelerated policy-to-data mapping analysis
Outcome
A scalable, regulatory-compliant data foundation enabling accurate environmental and tax reporting across the UK.
DEFRA — Waste Tracking & Packaging Tax
“The quality of iTeQ’s data modelling work was exceptional. They helped us define a regulatory-compliant data foundation for waste tracking and packaging tax that will support policy delivery for years to come. They were collaborative, pragmatic, and technically strong.”
— Senior Data Architect, DEFRA
ISG – Integrated Data Mesh for Reporting & Advanced Analytics
Client context
ISG faced siloed data sources, fragmented reporting, and growing compliance demands.
What we delivered
Implemented a Databricks ETL Mesh feeding into governed data marts, enriched with metadata and advanced reporting through Synapse Analytics and ML capabilities.
AI contribution
- AI-assisted ETL pattern generation
- automated metadata enrichment
- natural-language analytics over governed marts
Outcome
A compliant, insight-driven reporting environment that enables advanced analytics, better decision-making, and reduced manual reporting effort.
ISG — Integrated Data Mesh for Reporting
“iTeQ helped us move from siloed reporting to a governed, insight-driven analytics environment. Their architects understood both the business context and the technology, and their AI-enabled methods accelerated design and delivery. The result has materially improved our decision-making capability.”
— Group Head of BI & Analytics, ISG
Control Risks – Insurance Risk Data Warehouse
Client context
Control Risks needed to quantify and analyse insurance risk across multiple data sources with differing quality levels and structures.
What we delivered
iTeQ built a Dimensional Data Warehouse integrated with Master Data Management and an Enterprise Data Catalogue, providing consistent and trusted risk metrics.
AI contribution
- AI-assisted risk-factor modelling support
- automated metadata classification
- AI-generated KPI documentation and lineage mapping
Outcome
Enhanced KPI-driven business insight, improved risk quantification, and stronger executive confidence in data used for insurance decision-making.
Control Risks — Insurance Risk Data Warehouse
“iTeQ delivered a data warehouse solution that made our risk data far more usable and reliable. They worked closely with our teams, brought strong governance principles, and used AI tools intelligently to speed up design without losing control. We now have clearer KPIs and better insight into risk.”
— Director of Data & Analytics, Control Risks