
Cloud Migration & Consolidation
104 Azure resources moved into a single Google Cloud project the client owns, with live member data migrated intact.
Result · Cost efficiency →Twenty AI engagements across five sectors — anonymised to protect clients, described by the outcome that mattered.
AI engagements delivered across five sectors, each anonymised and described by outcome.
Sectors covered — retail & commerce, financial services, infrastructure, media & travel, and education & nonprofit.
Languages supported in a single localisation engagement, without losing dialect nuance.
A hosting estate spread across 104 Azure resources and several vendors became one Google Cloud project the client owns — at about an eighth of the monthly cost.
Cloud Migration & ConsolidationMembership nonprofit · Google Cloud
Before
104 Azure resources, several vendors, roughly $1,300 a month, and a developer needed for routine content changes.
After
One Google Cloud project, about $170 a month, and staff updating the site themselves through their own admin portal.

Showing 20 of 20All twenty engagements, across five sectors.

104 Azure resources moved into a single Google Cloud project the client owns, with live member data migrated intact.
Result · Cost efficiency →
One sign-in, credential and spend-control standard applied across eleven separately built AI applications.
Result · Consistent control →
Vertex AI generating store-level demand predictions, optimising stock for thousands of SKUs.
Result · Capital efficiency
Google Trends + BigQuery to predict micro-trends and synthesise marketing copy before competitors.
Result · Speed to market
Document AI to extract and verify identity data — licences and registrations — at scale.
Result · Scale without cost
Robust regression models on Vertex AI with MLOps to predict trends and simulate ad auctions.
Result · Financial reliability
A generative AI solution grounded in proprietary docs to answer enterprise-grade queries.
Result · Reduced hallucination
GenAI grounded in technical documentation answering complex integration questions 24/7.
Result · Churn reduction
A compound AI system using DocAI for digitisation and LLMs to audit document trails for compliance.
Result · Process velocity
Specialised medical LLMs analysing applicant histories for hyper-segmented risk assessment.
Result · Precision pricing
MLOps workshops to streamline model deployment and monitoring across enterprise data teams.
Result · Reliability
Vertex AI Agent Builder lets engineers query terabytes of telemetry logs in natural language.
Result · Operational agility
A Vision AI + BigQuery pipeline automating detection of structural defects in train components.
Result · Safety & prevention
Enterprise Search ingesting 15 years of maintenance logs, manuals, and tribal knowledge.
Result · Reduced MTTR
Geospatial AI with predictive modelling to estimate vegetation growth and outage risk.
Result · Grid resilience
Cloud Search + Vision AI performing face and event recognition on historical media.
Result · Institutional memory
Vision AI automatically tagging characters, brands, and interactions within a massive archive.
Result · Asset monetisation
Vertex AI Vision generating consistent tags for vast libraries, replacing user-generated tags.
Result · Search relevance
AutoML capturing dialect nuance and SEO requirements across 12+ languages.
Result · Conversion growth
NLP models analysing player feedback and ML models for personalised ad targeting.
Result · Churn preventionWe work with teams that want AI to be useful, governed, and worth measuring. A single call is enough to map your first workflow.