Technologies
A governed technology portfolio, not a logo wall.
Every technology here explains what it is, why it matters commercially, what has to be true before it will work, how to govern it, and what can go wrong. Where we have not yet published a verified capability statement, we say so rather than implying one.
How to read this
Our position on each technology
Rings describe where we think a technology sits for enterprise use. They are a point of view about the technology, not a claim about our own delivery record — that is stated separately on each page.
- Adopt
Proven in enterprise use. We would recommend this for suitable workloads today.
26 technologies
- Scale
Established and expanding. Sound choice where the fit is right.
9 technologies
- Explore
Real potential, still maturing. Worth a bounded pilot with clear success criteria.
6 technologies
- Watch
Tracking it. Not yet recommending it for production commitment.
5 technologies
The ecosystem
Pick a technology. See what it connects to.
Technologies matter through their relationships: which capability delivers them, which sectors run them, and what they are actually used for. Select one to light its layer.
Select any technology above to see what it is for commercially, which of our capabilities delivers it, and which sectors run it. Our own delivery record is stated separately on each page — a position on a technology is not a claim about us.
Enterprise Platforms
6 technologies
- AdoptMicrosoft Dynamics 365Microsoft's business application suite spanning ERP and CRM, tightly integrated with Power Platform, Microsoft 365 and Azure.
- ScaleMicrosoft Power PlatformLow-code application, automation and analytics tooling sharing a common data platform with Dynamics 365 and Microsoft 365.
- AdoptOracleEnterprise applications and database technology spanning ERP, supply chain, HCM, customer experience and enterprise performance management.
- AdoptSalesforceThe customer relationship management platform for sales, service, marketing and customer-facing digital experiences.
- AdoptSAPThe enterprise resource planning suite that runs finance, supply chain and operations for a large share of global manufacturing and process industry.
- ScaleServiceNowA workflow platform originally for IT service management, now used to digitize service and operational workflows across the enterprise.
Cloud
3 technologies
- AdoptAmazon Web ServicesThe broadest public cloud platform, spanning compute, storage, data, machine learning and managed services.
- ScaleGoogle CloudGoogle's public cloud, with particular strength in data analytics, machine learning and container orchestration.
- AdoptMicrosoft AzureMicrosoft's public cloud, closely integrated with the Microsoft enterprise estate, identity and data platform.
Data
7 technologies
- AdoptApache KafkaA distributed event streaming platform used as the backbone for real-time data movement and event-driven architecture.
- AdoptBusiness IntelligenceSemantic models, reporting and visualization that turn governed data into decisions people actually make.
- AdoptData GovernanceOwnership, definitions, quality, lineage and access control: the practice that makes a data estate usable and defensible.
- AdoptDatabricksA lakehouse platform unifying data engineering, analytics and machine learning on open storage formats.
- AdoptdbtA transformation framework that brings software engineering practice — version control, testing, documentation — to analytics SQL.
- ScaleMicrosoft FabricMicrosoft's unified analytics platform bringing data engineering, warehousing, real-time analytics and BI onto one storage layer.
- AdoptSnowflakeA cloud data platform separating storage from compute, with strong data sharing and workload isolation.
Automation
3 technologies
- ExploreAutomation AnywhereA cloud-native robotic process automation platform with document processing and analytics.
- AdoptMuleSoftAn integration and API management platform for connecting applications, data and devices across hybrid estates.
- ScaleUiPathAn enterprise robotic process automation platform with process mining, document understanding and orchestration.
Engineering
9 technologies
- Adopt.NETMicrosoft's cross-platform development platform for backend services, web applications and cloud-native workloads.
- ScaleAngularA batteries-included front-end framework with strong conventions, favoured for large, long-lived enterprise applications.
- AdoptAPIs & MicroservicesArchitectural patterns for decomposing systems into independently deployable services with governed interfaces.
- AdoptContainers & KubernetesContainerized packaging and the orchestration platform that has become the default substrate for cloud-native workloads.
- AdoptJavaA mature, statically typed language and runtime underpinning a large share of enterprise backend systems.
- AdoptJavaScript & TypeScriptThe language of the web, with TypeScript adding static typing for large, long-lived codebases.
- AdoptNode.jsA JavaScript runtime for server-side applications, well suited to I/O-bound API and integration workloads.
- AdoptPythonThe dominant language for data engineering, machine learning and AI, also widely used for backend services and automation.
- AdoptReact & Next.jsThe component-based UI library and the application framework built on it, with server rendering and hybrid data fetching.
Artificial Intelligence
7 technologies
- ExploreAgentic AIAI systems that plan and execute multi-step tasks using tools, with approval gates and observability.
- AdoptAI-Ready DataThe data foundation AI depends on: quality, lineage, permission metadata, freshness and semantic structure.
- AdoptGenerative AILarge language and multimodal models applied to enterprise knowledge work, with retrieval, evaluation and human oversight.
- ExploreMultimodal AIModels that process and relate multiple input types — text, image, audio, video — within a single system.
- AdoptPredictive AIClassical machine learning for forecasting, classification, anomaly detection and optimization: the least fashionable AI, and often the highest return.
- AdoptResponsible AIThe policies, controls, testing and oversight that make enterprise AI adoption defensible and auditable.
- AdoptRetrieval-Augmented GenerationGrounding language model output in retrieved enterprise content, with citations and permission-aware access.
Emerging Technology
11 technologies
- WatchAutonomous SystemsSoftware, perception and fleet integration for systems that operate with limited human intervention.
- WatchBlockchainDistributed ledger technology, applicable where multiple parties need shared records without a trusted intermediary.
- ScaleComposable ArchitectureBuilding systems from independently replaceable, API-first components rather than from monolithic suites.
- ExploreDigital TwinsModels of physical assets or processes kept synchronized with reality by operational data.
- ExploreEdge AIRunning inference on or near the device, where latency, bandwidth, privacy or resilience rules out the cloud.
- WatchGreen SoftwareDesigning and operating software for lower energy and carbon intensity — which usually also means lower cost.
- ScaleHyperautomationCoordinating process mining, workflow, RPA, document AI and agents as one automation portfolio rather than as separate tools.
- ScaleLow-CodeVisual development platforms that shorten delivery for the long tail of internal business applications.
- ExplorePrivacy-Enhancing TechnologyTechniques that allow data to be used for analysis and testing while reducing exposure of the underlying personal information.
- WatchQuantum ReadinessPreparing cryptographic estates for post-quantum algorithms, and assessing where quantum computing may eventually apply.
- WatchSpatial ComputingAugmented, virtual and mixed reality applied to training, remote assistance and complex visualization.
Not sure which technology fits your problem?
Start from the business outcome instead. The solution finder maps a goal, a sector and an environment to the capabilities and technologies that apply — and explains why.