Scale production without scaling headcount
Your marketing team still spends more time producing and reporting than thinking strategy. AI takes over production, analysis and personalization. Your team takes over what AI cannot do: creativity and positioning.








Production, personalization and performance with AI
20x faster production with 95% less staff
Real case: 42 content creators reduced to 2, with AI generating scripts, copies and materials matching brand tone of voice. R$5.2M/year in savings.
Decisions with real-time data, not monthly reports
Campaign performance, CAC, conversion and attribution consolidated automatically. AI-generated optimization insights before the next cycle.
Personalization at scale without growing the team
Communication segmented by profile, behavior and journey stage. Message, channel and timing adapted for each audience automatically.
How marketing teams use OORT
Scripts, blog posts, emails, social media and campaign materials generated by AI in the brand's tone of voice. From 42 creators to 2, with 20x faster production. R$5.2M/year in proven savings.

How marketing teams use OORT

Diagnosis, automation and control for your marketing.
Every stage connected to revenue impact.

AI Assessment
Agents interview your teams, map real processes and project the return of each opportunity. The result is a complete diagnosis with detailed reports, a prioritization roadmap and a clear AI adoption plan. Can be contracted separately.
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AI-First Data
Data from analytics, CRM, paid media and automation organized and governed where they already are. Performance, attribution and audience behavior accessible for real-time campaign optimization.
Discover AI-First Data
OORT Flows
Content creation, communication personalization, report consolidation and media budget optimization 24/7. Production that took weeks happens in hours.
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OORT Culture
Marketing and growth teams prepared to operate with AI. Hands-on training with real tools: analytics, email automation, paid media and CRM.
Discover CultureEnterprise security for your operation
Your data never leaves your environment. Encryption at every layer, granular access control, full audit trail and LGPD compliance by default.
Frequently asked questions about AI for Marketing
20x faster, with 95% less staff. In a documented real case, 42 content creators were reduced to 2, with AI generating scripts, copies, emails and campaign materials in the brand's tone of voice, yielding R$5.2M/year in savings. According to McKinsey (2025), companies adopting generative AI in marketing increase content production speed by up to 25x and reduce creation costs by 70%, while maintaining or improving perceived quality.
Yes. AI agents are trained with the brand guide, communication examples and the company's content history. Every piece generated follows the tone of voice, visual style and brand guidelines, with human review only at final approval. According to Forrester (2025), 82% of marketing leaders using generative AI with brand training report equal or better consistency than manual production, with review time reduced by 60%.
AI agents consolidate data from Google Ads, Meta, analytics and CRM in real time, automatically identifying top-performing campaigns, budget drains and recommending reallocation. ROI reports by channel and multi-touch attribution are generated without manual intervention. According to Gartner (2025), marketing teams using AI for campaign analysis reduce budget waste by up to 35% and increase ROAS by 40% by reallocating investment based on real-time data.
R$5.2M per year proven in a single content production case, with even greater savings potential when including personalization, campaign analysis and reporting. OORT's FinOps model tracks every cent spent on AI, ensuring full ROI visibility. According to Deloitte (2025), companies implementing AI in marketing achieve an average ROI of 280% in 12 months, with the largest gains from headcount reduction in content production and automated media budget optimization.
The first automations go live in weeks. The Assessment maps every creation, distribution and analysis process, identifying the workflows with the highest ROI for immediate automation. Measurable results appear from the first week of operation. According to IBM (2025), incremental AI implementations in marketing achieve payback in 2 to 4 months and have a 4x higher adoption rate than full transformation projects.



