Your CMS has AI features you’re not using. Your team wants to experiment but has nowhere safe to start. We help CMS and DXP teams prototype AI use cases in Sengo Lab, validate them with real data, and deploy with confidence — from AI-powered search to content intelligence and AI-assisted development.
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Free AI hours estimator
Answer about 10 minutes of questions on your team, tasks and systems. You get a first estimate of the hours AI could save each month, then you can book a meeting to review it with us.
The questionnaire is in French.
AI enhances your CMS in several practical ways: semantic search that understands user intent instead of just keywords, automated content tagging and classification, personalized content recommendations, AI-assisted content creation with built-in brand guardrails, and predictive analytics that show which content drives conversions. Platforms like Sitecore and Optimizely already ship AI features — most teams just haven’t activated them yet.
AI-powered search uses natural language processing and machine learning to understand the intent behind a query — not just the keywords. Instead of returning a list of pages that match exact terms, it delivers relevant answers, even when the user phrases the question differently than your content. Solutions like Coveo and ai12z use vector embeddings and large language models to surface the most relevant content from your CMS, knowledge base, or product catalog.
Start with a focused pilot, not a full transformation. Identify one high-impact use case — such as improving site search, automating content tagging, or generating first-draft content — and prototype it in a controlled environment. At Sengo, we use Sengo Lab to let teams build and validate AI prototypes with real data before committing to production. This approach reduces risk, builds internal confidence, and gives leadership measurable results to justify further investment.
Sengo Lab is our dedicated AI prototyping environment where teams experiment with AI use cases using their own content and data — without impacting production systems. It includes pre-configured integrations with platforms like Coveo, Sitecore, and various LLM providers. Teams build working prototypes, test for accuracy and hallucinations, measure performance, and iterate rapidly. Validated prototypes then move to production with proper guardrails and monitoring in place.
AI consulting engagements vary based on scope and complexity. A focused AI readiness assessment and use case prioritization typically takes two to four weeks. A full pilot — from prototyping in Sengo Lab to production deployment — usually spans six to twelve weeks. We scope every engagement with clear deliverables and expected ROI before starting. Contact us for a tailored estimate based on your platform, team size, and target use cases.
Yes — when implemented with proper guardrails. AI can generate first drafts, suggest headlines, create meta descriptions, translate content, and repurpose long-form articles into social posts or summaries. The key is keeping humans in the loop for review, fact-checking, and brand alignment. We implement AI-assisted content workflows that accelerate production while maintaining quality, using tools like Claude Code for WordPress automation and custom LLM integrations tailored to your brand voice and content guidelines.
