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.
Start an AI pilotEveryone talks about AI, but nobody on your team has a clear roadmap. You’ve seen demos and read articles, yet translating that into concrete use cases for your CMS or DXP feels impossible without hands-on guidance.
AI-generated content that invents facts or misrepresents your brand is a real risk. Without guardrails, your team is afraid to deploy anything AI-powered because one hallucination could damage customer trust.
Leadership wants numbers before investing in AI. But you have no baseline, no benchmarks, and no framework to measure whether AI-powered search, content generation, or automation actually moves the needle for your business.
Platforms like Sitecore, Optimizely, and Contentful ship AI capabilities — content personalization, smart tagging, predictive analytics. But your team hasn’t activated them because nobody knows how to configure or integrate them properly.
Visitors type natural-language questions and get zero results. Your search still relies on exact keyword matching, missing the intent behind queries. Competitors using AI-powered search like Coveo deliver relevant answers instantly.
Testing AI in production is too risky. But setting up a sandbox takes months. Your team needs a controlled lab environment where they can prototype, validate, and iterate on AI use cases without impacting live systems.
We audit your current CMS or DXP stack to identify built-in AI features you’re not using, integration points for AI services, and gaps in your content architecture. This assessment covers platforms like Sitecore, Optimizely, Contentful, and WordPress — mapping what’s possible today versus what requires new tooling.
We work with your team to prioritize AI use cases based on business value and technical feasibility. This includes AI-powered search with Coveo, content intelligence with Sitecore AI, conversational interfaces with ai12z, and AI-assisted development workflows. Each use case gets a clear scope, expected ROI, and implementation path.
Sengo Lab is our controlled environment for AI experimentation. Your team builds working prototypes — not slide decks — using real content and real data. We validate AI accuracy, test for hallucinations, measure relevance, and iterate rapidly. The lab gives your team hands-on experience before anything touches production.
Validated prototypes move to production with proper safeguards: content review workflows, fallback logic, accuracy monitoring, and user feedback loops. We configure your CMS to leverage AI features natively — whether that’s semantic search, automated tagging, personalization, or AI-assisted content creation.
We run hands-on empowerment workshops so your team owns the AI capabilities we’ve implemented. We set up dashboards to track search relevance, content engagement, development velocity, and ROI — giving leadership the numbers they need to expand AI adoption across the organization.
AI hype decks with no working prototypes behind them
Generic chatbot implementations that hallucinate and frustrate users
AI tools that bypass your content governance and brand guidelines
Vendor lock-in to a single AI platform with no exit strategy
Rip-and-replace recommendations — we work with your existing stack
AI experiments with no measurable success criteria or ROI tracking
AI readiness assessment for your CMS or DXP stack
Prioritized AI use case roadmap with ROI estimates
Sengo Lab prototyping sessions with working demos
AI-powered search implementation (Coveo, ai12z, or custom)
Content intelligence activation — smart tagging, personalization, and recommendations
AI-assisted development workflows with Claude Code for WordPress and CMS automation
Custom LLM integration for chatbots, content generation, or internal knowledge bases
Team empowerment workshops and AI governance documentation
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.
Let’s identify the highest-impact AI use cases for your CMS or DXP — and prototype them in Sengo Lab before you commit to production.