Frontend
Next.js
Used where server rendering, SEO and content scale matter alongside application behaviour.
FrontendMarketing and content platformsHybrid content and application products
Where we use it
Workloads we build with Next.js
Marketing and content platforms
Hybrid content and application products
Multi-tenant SaaS front ends
Strengths
Why we choose it
- Server rendering and routing built in
- Excellent SEO characteristics
- Incremental adoption path
Considerations
What we watch for
- Hosting model must be chosen deliberately
- Caching behaviour needs explicit design
Services using this technology
Industries where we deploy it
HealthcareClinical throughput, administrative relief and defensible data handling.ManufacturingConnected plants, predictable output, lower unplanned downtime.EducationAcademic operations, student experience and institutional reporting.LogisticsCost per shipment down, exceptions handled before they escalate.Real EstatePortfolio visibility, faster sales cycles, tighter project control.RetailDemand accuracy, margin protection and connected commerce.GovernmentCitizen services, digitised process and auditable delivery.MiningSafety, asset uptime and site-to-corporate visibility.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.ConstructionProgramme certainty, cost control and site-level visibility.Professional ServicesHigher utilisation, faster delivery, protected margin.
Pairs well with
Capabilities built on Next.js
SaaSMulti-tenant product engineering, from MVP to scale.Generative AIApplied generation for drafting, summarising, extraction and content operations.LLM IntegrationEmbedding language models into existing applications, APIs and business workflows.Approval AutomationMulti-level approvals with delegation, escalation and full audit trail.Marketing AutomationCampaign, nurture and reporting operations wired to real pipeline data.InventoryMulti-location stock control with accurate, reconciled positions.
Related insights
Why enterprise AI pilots stall — and what changes when they do notThe gap between a working demo and a production system is organisational, not technical.Automation that survives auditDesigning RPA and document automation with controls, logging and ownership from day one.Modernising legacy systems without a big-bang cutoverIncremental strangulation beats a single weekend of concentrated risk.
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Downloadable guide
Next.js engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.