Our approach

Tools & technologies

The platforms and tools we know from working inside them — not from reading the sales deck.

Technology recommendations mean more when they come from experience. We've worked inside most of the platforms we recommend — as consultants, as implementers, and as the people who've had to make them work at scale.

Where technology selection is part of an engagement, we advise without commercial bias toward any single vendor. The right tool is the one that serves the organisation's needs — not the one we know best.

Digital Experience Platforms

Sitecore

Enterprise DXP with deep personalisation, content and commerce capabilities — built for complex, multi-brand digital estates.

Optimizely

CMS, experimentation and B2B commerce combined — strong in organisations that want to test their way to better customer experience.

Adobe Experience Manager

Enterprise-scale content management and asset delivery, built for regulated sectors and brands managing global digital estates.

Acquia

Open-source power with enterprise support — Drupal-based DXP suited to organisations that value data ownership and composable architecture.

Umbraco

Flexible .NET CMS with a strong track record in mid-market organisations wanting control without enterprise overhead.

Content Management

Contentful

API-first headless CMS — the go-to for teams building composable architectures and multi-channel content delivery at scale.

Sanity

Highly customisable structured content platform — favoured by development-led teams wanting precise control over schema and editing experience.

WordPress (VIP)

The world's most-used CMS — relevant at enterprise scale on WordPress VIP, and embedded in most organisations' content histories.

Kentico Xperience

Hybrid headless CMS with built-in marketing automation — well suited to marketing-led teams in B2B and membership organisations.

Laravel

PHP framework powering bespoke content platforms — clean architecture, rapid development and a strong ecosystem for custom CMS builds.

AI & Delivery

Claude (Anthropic)

Our primary AI partner for content generation, knowledge management, document intelligence and agent-based workflow automation.

OpenAI / GPT-4

Large language model capabilities for natural language processing, summarisation and embedded AI features across digital products.

Microsoft Azure AI

Enterprise AI services — from cognitive search and document intelligence to OpenAI models within a governed, compliant infrastructure.

Vercel

Frontend cloud platform for deploying AI-native and headless web applications — fast iteration cycles and edge delivery built in.

Optimizely Agent

AI-powered experimentation and feature management at scale — embedding machine-driven personalisation into the delivery cycle.

CRM & Marketing

Salesforce

The market-leading CRM — with Sales Cloud, Service Cloud and Marketing Cloud covering most enterprise commercial and customer operations.

HubSpot

Integrated CRM, marketing and sales platform — strong for growth-stage organisations wanting a unified, lower-overhead commercial stack.

Microsoft Dynamics 365

Enterprise CRM and ERP suite — best suited to organisations already deep in the Microsoft ecosystem seeking a unified data model.

Dotdigital

Email and cross-channel marketing automation — strong in membership and retail, with deep CRM and ecommerce integrations.

Ecommerce

Shopify & Shopify Plus

The default choice for direct-to-consumer commerce — fast to launch, extensible at scale, and increasingly capable for B2B.

commercetools

MACH-native headless commerce — for organisations requiring composable, API-first architecture across complex multi-market operations.

Stripe

Developer-first payments infrastructure — subscriptions, invoicing and marketplace flows handled with minimal integration overhead.

Cloud & Infrastructure

Microsoft Azure

Enterprise cloud of choice for UK regulated sectors — strong compliance posture, M365 integration and AI services under one governance model.

Amazon Web Services

The broadest cloud platform — favoured by engineering-led organisations for its depth of managed services and global infrastructure reach.

Google Cloud

Strong in data engineering, BigQuery analytics and AI/ML workloads — often the right choice when Google Workspace is already central.

Data & Analytics

Snowflake

Cloud data warehouse built for scale — multi-cloud, performance-optimised, and the anchor of most modern data platform architectures.

Databricks

Unified analytics and AI platform — data engineering, machine learning and governance combined for organisations building intelligence into their products.

Twilio Segment

Customer data platform for collecting, unifying and activating first-party behavioural data across the full marketing and product stack.

Tableau

Data visualisation and business intelligence — translating complex datasets into insight that decision-makers can actually act on.

Microsoft Power BI

Self-service BI embedded in the Microsoft ecosystem — the practical choice for organisations already running on Azure and M365.

dbt (data build tool)

SQL-first data transformation framework — brings software engineering discipline to analytics, turning raw data into trusted, versioned models.

Microsoft Fabric & Purview

Unified analytics platform and data governance suite — end-to-end data estate management within the Microsoft ecosystem.

Integration & Middleware

MuleSoft

Enterprise integration platform — connecting applications, data and devices across legacy and modern infrastructure through a managed API layer.

Boomi

Low-code iPaaS for mid-market organisations — rapid integration of SaaS applications and on-premise systems without heavy engineering overhead.

Confluent / Apache Kafka

Real-time event streaming for high-throughput data pipelines — the foundation for organisations building event-driven, reactive architectures.

Technology selection is never vendor-neutral in practice — but it should be. We recommend what serves the organisation, drawing on direct experience of how these tools perform under real-world constraints: legacy integration, team capability, governance requirements, and total cost of ownership over time.