Content Management

Our AI analyzes your historical data to build custom models specific to your business. It learns patterns, preferences, and behaviors unique to your operations—continuously improving accuracy as you use the system. Your data never trains shared models.

Absolutely. You can begin with core functionality and enable AI features gradually as you become comfortable. AI capabilities are modular—turn them on when ready, no migration required.

AI suggestions are always reviewable—you maintain final control. The system includes feedback mechanisms so it learns from corrections. Confidence thresholds let you auto-approve high-certainty actions while flagging edge cases for human review.

The choice depends on your use case: WordPress powers 40% of the web - ideal for marketing sites, blogs, and standard business websites. Extensive plugin ecosystem, low learning curve, but can become complex at scale. Headless CMS (Contentful, Sanity, Strapi) separates content from presentation - perfect for omnichannel delivery, multiple frontends, or developer-driven teams. Custom CMS makes sense for unique workflows, proprietary content types, or deep integration requirements. Consider: who manages content (marketers vs. developers), delivery channels (web only vs. omnichannel), and scale requirements. Many organizations use hybrid approaches - WordPress for marketing, headless for product content.

Effective content architecture enables both: (1) Content modeling - define structured content types with fields (not just rich text blobs). Example: Article = title + author + category + body + featured image + related articles. (2) Component-based design - reusable blocks (hero, testimonial, FAQ) that editors can assemble. (3) Taxonomy and tagging - consistent categorization enabling content discovery and related content suggestions. (4) SEO elements - dedicated fields for meta titles, descriptions, Open Graph data, schema markup. (5) URL strategy - semantic, hierarchical URLs with proper canonical tags. (6) Internal linking - structured relationships between content pieces. We design content models during discovery phase, considering both editorial workflows and technical requirements.

Enterprise content requires governance: (1) Draft/publish states - content progresses through stages (draft → review → approved → published). (2) Role-based permissions - authors create, editors review, admins publish. Granular controls by content type and section. (3) Scheduled publishing - set future publish dates for campaigns and time-sensitive content. (4) Version control - full history of changes with ability to rollback. (5) Preview environments - see exactly how content appears before publishing. (6) Notifications - alert relevant stakeholders at each workflow stage. (7) Audit logs - track who changed what and when. Modern CMS platforms offer these features out-of-box; custom implementations provide flexibility for complex approval chains.