MarketingOS: Agentic AI for Marketing

Content AI produces on-brand copy, social posts, email sequences, landing pages, and ad creative at 5× the velocity of manual production. Brand governance is enforced at generation time — not as a post-production review. Every piece is checked against brand voice guidelines, messaging hierarchy, regulatory compliance requirements, and visual identity rules before it reaches a human reviewer. Tone calibration: Content AI adjusts tone for channel (formal for LinkedIn, conversational for email, punchy for social), audience segment, and campaign objective. Human review and approval is required before any content is published. Content AI generates — marketers approve and publish.

Attribution Intelligence provides multi-touch attribution modelling from first brand touchpoint to closed revenue — running continuously, not in quarterly batch. Previously, 40% of marketing spend had no measurable attribution: dark social, direct traffic, and offline events were invisible. AI attribution combines first-party data, server-side tracking, and probabilistic modelling to attribute revenue across the full customer journey. Budget optimisation: the model continuously identifies which channels, audiences, and messages are producing the best return — and recommends budget shifts before money is wasted. All budget reallocation recommendations require CMO approval for changes above 15%.

Personalisation AI builds a real-time preference model for every customer from purchase history, browse behaviour, email engagement, and app interactions. For each touchpoint — email, push, homepage, in-store screen — the AI selects the optimal message, offer, and product recommendation. The result: email conversion 11.4% vs 1.8% generic, basket uplift of £8.40 per transaction, and campaign ROI 157% above generic campaigns on the same budget. GDPR compliance: all personalisation is based on consented first-party data only. No third-party data purchasing. Every customer can view, export, and delete their preference profile at any time through the preference centre.

Brand Governance AI checks every piece of content against brand guidelines before it is published — enforcing consistency across all teams, agencies, and regions at scale. Checks include: tone of voice (formal/informal, inclusive language, prohibited phrases), messaging hierarchy (correct value proposition order, no contradictory claims), visual identity compliance (colour, typography, logo usage), and regulatory compliance (financial promotions, health claims, geographic restrictions). When a piece fails a check, the specific violation is highlighted with the relevant guideline and a suggested correction. All governance decisions are advisory — the brand manager makes final publication calls. Brand compliance score has increased from 64% to 98% since deployment.