Artificial Intelligence

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.

4-10 weeks

Timeline

GPT-4 / Claude / Gemini

Stack

API + UI

Format

Generative AI Process

Four steps, one workbench: the brief is taken, the prompt library and company documents are indexed, the human approval interface is set up, a pilot team uses it for two weeks and quality is measured. If model infrastructure, fine-tuning, and MLOps are also needed, it is planned together with AI development services.

Workbench· schematic

CONTENT BRIEF + SAMPLE SELECTIONGPTClaudeGeminiopen-source LLMcompany documentsaccepteditrejectCMSemailCRMBriefPrompt & RAGprompt library + vector storeDraftfirst content draftsQuality filterlength · tone · keywordsHuman approvalChannelsfeedbackcontent briefsamples + brand guidelinesmodel selection · based on the use case

BriefContent type, existing samples, brand guidelines, target user persona.

ModelGPT · Claude · Gemini · open-source LLM · based on the use case

PromptTested prompts · templates with company voice, style, and quality criteria encoded

RAGCompany documents, product information, brand guidelines · searchable in a vector store.

QualityAutomated checks on length, tone, and keywords · low quality gets filtered out.

ApprovalAccept / edit / reject · edits flow back to the model as feedback.

ChannelsGenerated content is pushed to CMS, email, and CRM platforms.

PilotA pilot team uses it for 2 weeks, quality is measured (acceptance rate, edit density).

MeasurementAcceptance rate, edit density, time to publish · reported weekly.

  1. 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. Tested prompts + indexing of company documents. First content drafts can be generated.

  3. Editor interface, approval queue, feedback mechanism. CMS/Email/CRM integration.

  4. A pilot team uses it for 2 weeks, quality is measured (acceptance rate, edit density). Improvements are applied.

Generative AI Scope

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. Generated content also connects to your email marketing setup through the same pipeline.

  1. 01

    Use Case Design

    Mapping 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.

  2. 02

    Prompt Library

    Reusable prompts.

    Prompt templates encoding company voice, style and quality criteria. Version controlled.

  3. 03

    RAG System

    Access to company knowledge.

    Company documents, product information, brand guidelines · searchable in a vector store. The AI draws from here.

  4. 04

    Output Quality

    Quality filtering.

    AI output passes through automated quality control (length, tone, keywords). Low quality gets filtered out.

  5. 05

    Human Review

    Human approval interface.

    Approval interface for critical content (accept / edit / reject). Edits flow back to the model as feedback.

  6. 06

    Multi-channel

    CMS / 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.

On Every Project

  1. 1

    Live training

    At the same table as your team in Istanbul, remotely in other cities and abroad; with real data.

  2. 2

    Full documentation

    Every structure we build is in your hands, in writing.

  3. 3

    How-to videos

    Watch-and-apply recordings for every screen.

  4. 4

    Fast support

    Quick answers to anything left unclear after training.

  5. 5

    Adoption report

    Is the team actually using the system? We measure it.

Support Structure

Every company whose setup we did gets base support through three channels after go-live; it is part of our responsibility and is not priced separately. The WhatsApp channel and phone stay open for as long as we are your partner; feature and customization requests by email in the first 6 months are part of the setup, while new modules and integrations are priced separately.

  1. 01 · Email

    Feature and customization requests

    First 6 months after go-live, for your existing setup. Write to us; the request is logged and planned.

  2. 02 · WhatsApp channel

    Team questions and instant fixes

    A channel set up for your company, open for as long as we are your partner. Your team asks, small fixes happen on the spot.

  3. 03 · Phone

    Urgent issues and management questions

    Open for as long as we are your partner. When something stops work or management needs an answer, call us directly.

Coverage

WhatsApp channel and phone

throughout our partnership

Email · features and customization

first 6 months

After go-live, for every company whose setup we did. None of the three channels is priced separately; the 6-month scope covers feature and customization requests.

Why Eksenium

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.

FAQ

More questions? Write to us · we reply within 24 hours.

  • Google evaluates AI content on quality, not origin. Content produced with RAG + human editing performs well in SEO.

30+

projects

99%

client satisfaction

3 channels

post-implementation support

Contact

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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