Transform enterprise data into strategic advantage
GTP partners with enterprises to modernise data platforms, accelerate analytics maturity, and operationalise AI responsibly. We help organisations build cloud-native data ecosystems, strengthen governance, optimise operations, and unlock measurable business value from data and artificial intelligence.
Enterprise-grade consulting across the modern data stack
From legacy warehouse migration through real-time lakehouse pipelines, executive BI, and AI copilots grounded in private enterprise data - GTP delivers end-to-end on the platforms that anchor today's data-driven organisations.
Vendor-neutral
Best-of-breed across Snowflake, Databricks & the hyperscalers
Faster delivery
Proven frameworks compress 12-month roadmaps to weeks
Governance-led
Compliance, lineage, and AI safety baked into every engagement
Cost-optimised
FinOps for cloud data, with measurable platform savings
Built on the leading cloud, data & AI platforms
We align with the platforms enterprises actually run - so clients get vendor-neutral implementation backed by certified depth at every layer of the stack.
Snowflake · Databricks · AWS · Microsoft Azure · Microsoft Fabric · Google Cloud Platform
dbt Labs · Apache Airflow · Tableau · Power BI · Looker
Anthropic Claude · OpenAI · IBM watsonx · Amazon Bedrock · Azure AI Foundry
MLflow · SageMaker · Unity Catalog · Horizon Catalog · Microsoft Purview
Multi-platform expertise · Cloud-native architecture design · Vendor-neutral implementation · Cost optimisation & governance · Secure enterprise AI adoption
Seven enterprise capabilities, one delivery partner
From governance and platform modernisation through to generative AI and MLOps, GTP delivers the full data-and-AI lifecycle.
Data Strategy & Governance
Design enterprise-wide data strategies aligned with business priorities. We establish governance models, data ownership frameworks, metadata standards, and operating structures that improve trust, compliance, and decision-making.
Data Engineering & Platform Modernization
Architect and implement scalable cloud-native data platforms supporting analytics, AI, and operational reporting. Snowflake optimisation, Databricks lakehouse, dbt transformation, Airflow orchestration, medallion architecture, DataOps and CI/CD automation.
Analytics & Business Intelligence
Enable trusted enterprise analytics through modern reporting frameworks, semantic modelling, and self-service BI solutions on Power BI, Tableau, and Looker - so executives, operators, and analysts work from the same governed numbers.
AI & Generative AI Services
Move from AI experimentation to enterprise-scale adoption through structured frameworks and governance-led delivery. AI strategy, generative AI consulting, RAG architecture, copilots, agentic workflows, and LLM orchestration on Claude, GPT, and watsonx.
MLOps & AI Operations
Operationalise machine learning and AI systems with governance, monitoring, automation, and lifecycle management. Model deployment pipelines, AI observability, continuous evaluation, and scalable AI infrastructure.
Data Quality & Observability
Enterprise-grade monitoring, validation, and observability frameworks ensuring trusted and reliable data. Data contracts, SLA monitoring, lineage tracking, and proactive anomaly detection.
Data Security & Compliance
Design secure enterprise architectures supporting regulatory and operational requirements - HIPAA, GDPR, PCI-DSS, and SOC 2 - with role-based access control, encryption, audit logging, data governance policies, and secure AI implementation patterns.
Enterprise data-platform engineering at scale
We build scalable, reliable, and cost-optimised data platforms supporting enterprise analytics and AI initiatives - on the engineering disciplines that turn promising prototypes into production systems.
Lift legacy ETL into modern ELT patterns on cloud warehouses.
Real-time change-data-capture across OLTP and lakehouse.
Kafka, Kinesis & event-driven analytics architectures.
Spark, Snowpark, and warehouse-native batch frameworks.
Airflow, Dagster, and managed orchestration pipelines.
Semantic-layer transforms with test coverage and docs.
Warehouse sizing, query tuning, and credit governance.
Delta Lake, Unity Catalog, MLflow & serverless SQL.
Bronze, Silver, Gold curated data zones at scale.
GitOps-driven deployment of pipelines and warehouses.
Where GenAI is delivering business value today
Beyond the hype: the AI workloads GTP delivers most often into production, where business teams are seeing tangible outcomes within weeks.
Intelligent Document Processing
Extract structured insight from contracts, claims, invoices, regulatory archives - at scale, with provenance.
Knowledge Management Assistants
RAG-grounded copilots that answer from approved internal knowledge with citations.
Customer Support Automation
Tier-1 deflection, intent routing, and case summarisation grounded in CRM & ticket history.
Operational Workflow Automation
Agentic AI that takes multi-step action against enterprise systems, under human oversight.
Predictive Analytics & Forecasting
Demand, churn, fraud, and risk models hardened for production with proper MLOps.
AI Copilots & Assistants
Embedded copilots for sales, engineering, finance, and HR workflows.
Data & AI tailored to your sector
From HIPAA-compliant healthcare analytics to real-time financial risk platforms, GTP applies data and AI to the workloads each industry actually runs.
Healthcare
- HIPAA-compliant analytics platforms
- Clinical & operational analytics
- Patient data governance
- Healthcare AI enablement
Banking & Financial Services
- Fraud detection analytics
- Regulatory reporting
- Risk intelligence platforms
- Real-time financial analytics
Retail & E-Commerce
- Customer analytics
- Personalization engines
- Demand forecasting
- Inventory optimization
Manufacturing
- Predictive maintenance
- Supply chain analytics
- Operational intelligence
- Production optimization
Telecom & Logistics
- Network analytics
- Route optimization
- Real-time operational visibility
- Customer churn prediction
SaaS & Technology
- Product analytics
- Customer retention intelligence
- Infrastructure optimization
- AI-enabled product experiences
Standing up a scalable Data & AI CoE
GTP helps enterprises establish Data & AI Centers of Excellence that standardise governance, accelerate delivery, and build sustainable internal capabilities - so data and AI don't stay locked to a single team or vendor.
What a mature CoE delivers
- Consistent enterprise standards across data and AI work
- Improved delivery scalability and predictable throughput
- Reduced operational and compliance risk
- Stronger cross-functional alignment between business and IT
- Sustainable internal capabilities reducing long-term consulting spend
Flexible enterprise engagement models
From strategic advisory to embedded delivery teams - GTP offers commercial models that fit how enterprises actually want to consume consulting.
Advisory Consulting
Strategic guidance for platform modernisation, governance, analytics, and AI transformation.
Project Delivery
End-to-end implementation of data, analytics, and AI solutions to a fixed outcome.
Managed Services
Ongoing support, optimisation, monitoring, and operational management for live platforms.
Dedicated Teams
Embedded engineering and consulting teams aligned to enterprise roadmaps.
Staff Augmentation
Specialised engineers, architects, and consultants integrated into existing teams.
Global Delivery
Hybrid onsite and offshore delivery balancing scalability, quality, and cost efficiency.
What success has looked like
Four representative engagements illustrating how GTP turns data and AI ambition into operational outcomes.
Healthcare Analytics Modernisation
Implemented a HIPAA-compliant analytics platform consolidating clinical and operational data across multiple source systems.
Snowflake Cloud Migration
Migrated legacy enterprise data warehouses to Snowflake with minimal disruption and significantly improved performance.
Databricks Lakehouse Implementation
Built a unified analytics and AI platform using Databricks Lakehouse architecture, consolidating fragmented data estates.
Enterprise Generative AI Solution
Implemented an enterprise-grade AI assistant architecture with secure knowledge retrieval and governance controls.
A structured 5-phase delivery approach
Every Data & AI engagement follows a phased path from discovery through long-term operations - so business value lands on a predictable timeline with measurable outcomes.
Phase 1 · Discovery & Assessment
Assess current-state architecture, business goals, governance maturity, and operational challenges.
Phase 2 · Strategy & Architecture
Define future-state architecture, governance framework, and implementation roadmap.
Phase 3 · Implementation Planning
Establish delivery plans, operating models, and migration strategy.
Phase 4 · Build & Deployment
Execute platform implementation, migration, testing, and rollout.
Phase 5 · Optimisation & Operations
Monitor performance, optimise costs, and support long-term operational maturity.
Common questions about Data & AI engagements
How long does a typical cloud data migration take?
Project timelines depend on complexity, data volume, integrations, and governance requirements. Most enterprise modernisation initiatives range between 3-9 months.
Do you support healthcare and regulated industries?
Yes. We support HIPAA, GDPR, PCI-DSS, SOC 2, and enterprise governance requirements - with documented controls and audit-ready evidence.
Can you work with existing enterprise platforms?
Yes. We support both modernisation of existing ecosystems and greenfield implementation of new cloud-native architectures.
Do you provide managed services after implementation?
Yes. We provide ongoing platform support, monitoring, optimisation, and operational management on a flexible SLA.
Do you provide AI governance consulting?
Yes. We help organisations establish responsible AI frameworks, governance policies, monitoring, and operational controls.
Which AI foundation models do you support?
Anthropic Claude (via API, Bedrock, Vertex), OpenAI GPT, IBM watsonx, Azure AI Foundry models, and open-source via Bedrock and SageMaker.
Ready to modernise your data & AI ecosystem?
Partner with GTP to design scalable, secure, and future-ready data and AI platforms. Schedule a consultation, request an architecture assessment, or speak with a Data & AI specialist.