About GeoTelligence
Architecture-first. AI-assisted. Operationally proven.
GeoTelligence is an architecture-first systems practice combining enterprise systems experience, data platform strategy, operational intelligence, and AI-assisted delivery — for organisations where systems need to be reliable, explainable, and built to last.
The Practice
GeoTelligence is an architecture-first systems practice specialising in enterprise systems, business-critical workflows, operational data platforms, and legacy-to-modern transformation. The practice is built on the principle that system design must precede implementation: understanding data models, business logic, governance, and operational risk before writing a line of code.
The practice draws on deep enterprise project experience including Lloyd's Register's IDS programme — a core ship-surveying platform operated across approximately 150 port offices worldwide — covering requirements definition, architecture analysis, TOGAF-aligned design, and security strategy. Additional significant engagements include a Network Rail system enabling a major structures safety review across approximately 18,000 nationwide assets, and regulatory risk systems at the FSA covering e-money compliance, data modelling, and governance-aware reporting.
The Microsoft enterprise ecosystem background — SQL Server, business intelligence, SharePoint, reporting chains, operational workflows, legacy platforms — is not treated as a liability. It is deep practical experience with the systems that large organisations actually depend on. Many enterprises still rely on exactly these environments, and understanding them in production is a genuine advantage in transformation, integration, and risk reduction.
GeoTelligence uses AI as a force multiplier for platform delivery — generating code, prototypes, and integrations at speed — while maintaining architectural discipline: clear system boundaries, explicit data flows, documented business logic, and controlled change.
What GeoTelligence is
A specialist practice, not an agency. Engagements are direct — with the practitioner who designed the system and will do the work, not delivered through account management layers.
The practice is especially relevant to organisations in infrastructure, energy, logistics, shipping, rail, finance, and regulated environments where systems need to be operationally resilient, analytically defensible, and maintainable over time — not just impressive at a demo.
Approach
AI makes implementation faster. Architecture makes systems survivable.
AI accelerates delivery significantly. But it does not automatically understand operational risk, hidden dependencies, legacy constraints, or business-critical workflows. The advantage is architecture-first judgement, not AI access.
Business logic is often the real system.
Applications, dashboards, and databases are visible. The actual system is usually the business logic: rules, exceptions, approvals, calculations, reporting habits, and operational knowledge. Transformation fails when this logic is not understood.
Dashboards are the visible layer, not the intelligence layer.
A dashboard only has value when the underlying data, definitions, workflows, and decisions are understood. Operational intelligence starts with workflows and data flows — not reports.
Legacy knowledge is an enterprise advantage.
Legacy systems often contain years of business logic, reporting history, and operational rules. Modernisation should reduce risk, not create a new kind of fragility. Understanding what a legacy system actually does is a senior enterprise skill.
Speed needs structure.
Fast delivery is valuable. Speed without governance creates uncontrolled accumulation. The best delivery model is rapid execution inside clear architectural boundaries — not moving fast and hoping the problems appear later.
Certifications
Professional and technical certifications
The practice is built on formally certified expertise across enterprise architecture, business analysis, project management, and technical delivery.
TOGAF 9
Enterprise Architecture — The Open Group
ISEB Business Analysis
BCS — business and systems analysis
PRINCE2 Practitioner
Project management
MCTS SQL Server BI
Microsoft business intelligence
MCSE
Microsoft Certified Systems Engineer
ITIL v3 Foundation
IT service management
Professional memberships: IIBA · Institute of Business Consulting · Institute for the Management of Information Systems
Capabilities
Breadth of practice
Each area is practiced at a working level — not advisory knowledge, but the ability to do the analytical, design, and delivery work directly.
Enterprise architecture & strategy
- Enterprise architecture review and documentation (TOGAF 9)
- Business analysis and requirements definition (ISEB / BCS)
- Legacy-to-modern systems transformation strategy
- Data platform design and migration planning
- AI-assisted delivery governance and architecture control
- Stakeholder workshops, BPMN and swimlane modelling
Data platforms & operational intelligence
- SQL Server, PostgreSQL, PostGIS database design
- Business intelligence: Tableau, Power BI, QlikView
- KPI framework, metric design and reporting chains
- Geospatial data modelling and spatial analytics
- Operational workflow analysis and data mapping
- Scientific and ecological data analysis
Platform delivery
- Architecture-first platform prototyping and production delivery
- Next.js full-stack application development
- MapLibre GL and Leaflet geospatial integration
- REST API design and implementation
- Cloud deployment — Vercel, Neon, AWS
- Rapid prototype-to-production on real data
Enterprise systems & legacy environments
- Microsoft ecosystem: SQL Server, SharePoint, VBA, MS Access
- Legacy workflow analysis and undocumented business logic
- Live database migration and data continuity planning
- SDLC governance, UAT / OAT coordination
- ISO 27001 security strategy and PCI-DSS compliance context
- Role-based access control and data protection design
Domain experience
Sectors and contexts
Enterprise systems, operational intelligence, and data platform work across complex, business-critical environments.
Rail and infrastructure
Structures review platforms, asset data modelling, safety review workflows, DER-style examination processes, risk scoring and infrastructure assurance.
Maritime and marine operations
Ship surveying platforms, global port office operations, marine asset review workflows, survey evidence management and recommendation lifecycle systems.
Shipping and fleet intelligence
Map-first fleet intelligence, port and voyage data integration, operational risk dashboards, AIS data and maritime incident monitoring.
Finance and regulated environments
Regulatory risk assessment platforms, e-money systems, compliance reporting, governance-aware data modelling, and business-critical financial workflows.
OSINT and geospatial intelligence
Geospatial event mapping, source confidence scoring, entity-location-event modelling, analytical intelligence dashboards and open-source intelligence platforms.
Energy, logistics and asset-heavy sectors
Operational reporting, asset condition and risk modelling, legacy system modernisation, data platform strategy for complex multi-site operations.
Why this combination of skills matters
Most enterprise technology challenges require business analysis, data architecture, systems understanding, and practical delivery — but rarely sit neatly inside a single discipline. A developer without business analysis produces systems that miss the actual workflow. An analyst without architecture produces requirements that cannot survive production. A consultant without delivery experience advises on things they have not built.
GeoTelligence works at the intersection of these disciplines. The advantage is accumulated: enterprise systems experience, architecture-first judgement, business analysis rigour, and the ability to understand operational risk in complex, messy, real-world environments — augmented by AI for speed of delivery.
Transparency
Experience, honestly stated
Prior enterprise work includes Lloyd's Register's IDS programme and Network Rail structures review work delivered through Amey. These engagements inform the platform concepts at GeoTelligence — but GeoTelligence platforms are independent designs, not current systems of those organisations.
Specific client and project details are available in confidence on request. GeoTelligence does not claim current endorsement by, or engagement with, any named organisation unless that engagement is active and the client has agreed to be referenced.
The live demonstration platforms — TrawlerWatch, Mapalytica Ukraine, NaviCharge, Tippov, RiverMonitor — are independently built and operated by GeoTelligence.
Get in touch
Work with GeoTelligence
If you have a complex systems challenge, a data platform to build, or a legacy environment to modernise — discuss it directly with the practitioner who will do the work.