Generative AI Development · Content, Email, Summaries, Translation
Content with consistent quality at superhuman speed.
Marketing content, customer replies, document summarization, translation, code · with generative AI we cut your team's repetitive writing work from hours to minutes. Our generative AI development services go beyond text: when needed, we connect image and audio generation systems to the same approval flow.
Content production in 4 steps.
- 1
Week 1 · BriefContent brief + sample selection
Content type, existing samples, brand guidelines, target user persona. Model selection (GPT, Claude, Gemini or an open-source LLM) happens at this stage, based on the use case.
- 2
Weeks 2-4 · Prompt & RAGPrompt library + vector store
Tested prompts + indexing of company documents. First content drafts can be generated.
- 3
Weeks 5-7 · UI & WorkflowHuman approval interface
Editor interface, approval queue, feedback mechanism. CMS/Email/CRM integration.
- 4
Weeks 8-10 · PilotLimited volume + quality measurement
A pilot team uses it for 2 weeks, quality is measured (acceptance rate, edit density). Improvements are applied.
Content with consistent quality at superhuman speed.
Proper prompt engineering + retrieval + human QA = production-grade content. The gain works on three levels: creative output becomes consistent, your team shifts to high-value work, and the cost per piece of content drops.
- Use Case DesignMapping the content type. Which content (blog, email, product descriptions, etc.), volume, quality criteria, target tone. Typical scenarios: content calendars and social media posts in marketing, automated proposal emails in sales, product descriptions and campaign copy in e-commerce, canned responses in customer service, course content in education.
- Prompt LibraryReusable prompts. Prompt templates encoding company voice, style and quality criteria. Version controlled.
- RAG SystemAccess to company knowledge. Company documents, product information, brand guidelines · searchable in a vector store. The AI draws from here.
- Output QualityQuality filtering. AI output passes through automated quality control (length, tone, keywords). Low quality gets filtered out.
- Human ReviewHuman approval interface. Approval interface for critical content (accept / edit / reject). Edits flow back to the model as feedback.
- Multi-channelCMS / Email / CRM integration. Generated content is pushed directly to platforms like WordPress, Mailchimp and Zoho Campaigns. It runs on the same pipeline, integrated with Zoho CRM and RPA-based process management tools.
Our standard in every custom implementation.
- On-site trainingAt the same table as your team, with real data.
- Full documentationEvery structure we build is in your hands, in writing.
- How-to videosWatch-and-apply recordings for every screen.
- Fast supportQuick answers to anything left unclear after training.
- Adoption reportIs the team actually using the system? We measure it.
We don't sell hours, we build systems.
We build it, improve it, keep it alive.
No system stays standing without someone behind it. We stay with every structure we build after delivery: monitoring, fine-tuning, and making sure your team truly adopts it.
Common questions.
More questions? Write to us · we reply within 24 hours.
Does AI content create SEO problems?
Google evaluates AI content on quality, not origin. Content produced with RAG + human editing performs well in SEO.
Are multiple languages supported?
Yes · content generation in 50+ languages including Turkish, English, German, French, Spanish and Arabic.
How is our brand voice protected?
Your brand guidelines (tone, word preferences, taboo terms, etc.) are encoded in the prompt library. Every output is generated against this guide.
Does it work with our existing CMS (WordPress, Webflow, etc.)?
Yes · integration with common platforms such as the WordPress REST API and Webflow CMS API is standard. Content can be pushed directly to your platform.
How do you measure the quality of generated content?
Acceptance rate (how often the editor changed it), edit density (how many words changed), time to publish · reported weekly across three metrics.
Are you Zoho's office or branch in Türkiye?
No; Eksenium is not Zoho's Türkiye office or branch, but one of Zoho's Authorized Partners in Türkiye. Zoho has no official office in Türkiye; the company runs its licensing, implementation, customization, and support operations through these authorized partners. We deliver that service in the local language, in compliance with KVKK, and with on-site support.
What is generative AI and where is it used?
Generative AI is a type of artificial intelligence that can create new content such as text, images, audio or code. It is used across many areas including customer support assistants, content production, marketing automation and visual design.
Which models do you work with?
We work with leading generative AI models including OpenAI (GPT), Claude, Mistral, Gemini, Stable Diffusion and Midjourney. Open-source LLMs can also be integrated for organization-specific solutions.
Can a custom AI assistant be built for my organization?
Yes. We build custom AI assistants trained on your internal data, such as documents, emails, product information and call records, delivering solutions focused entirely on your needs.
How does a generative AI project progress?
First the use case is defined, then the model is selected. Next comes prompt engineering, integration and user testing before go-live. Continuous training and monitoring follow.
Can it produce incorrect content? How is it controlled?
Generative AI models can sometimes hallucinate. That is why we build control mechanisms with dedicated validation layers, rules and data filtering systems. Every piece of content is structured to be auditable.
Let's build the core of your business together.
We prepare a concrete proposal and a live demo based on your current system, your goals, and your timeline. No commitment before the contract.
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