Case studies

    Agents deployed for our clients

    Real-world scenarios in production. The diagrams below are generated straight from the Make export — exactly the flow running 24/7. Click an agent to expand the full case study.

    Problem

    Dozens of supplier invoices land at the bistro every day — seafood, alcohol, packaging. Manual booking and stock updates were eating an hour a day from the owner and constantly throwing the cost-of-sales math off.

    Solution

    Two channels feeding one agent: invoices can land in a dedicated email inbox or be snapped into a Telegram bot. The agent OCRs the document, recognises items, vendor and amounts, writes everything into the stock database and confirms the booking with a reply.

    Outcome

    Invoice booking dropped from 4 minutes to 20 seconds, stock is updated in real time. The owner sees today's margin instead of end-of-month — and never touches a spreadsheet.

    How it works

    Variant: Email

    Invoice email

    Email webhook

    File archive

    Google Drive

    Document text extraction

    Google Vision OCR

    AI content analysis

    OpenAI GPT

    Database lookup

    Google Sheets

    Variant: Telegram

    Telegram message

    Telegram bot

    Database lookup

    Google Sheets

    Attachment download

    Telegram

    File archive

    Google Drive

    Document text extraction

    Google Vision OCR

    AI content analysis

    OpenAI GPT

    Database lookup

    Google Sheets

    Deployment story

    In a bistro, every minute the chef or manager spends is money. Meanwhile, booking invoices from suppliers — shrimp, seafood, alcohol, packaging — is something a guest will never thank you for. It is the "operational tax" that eats margin and pulls the team away from what actually matters: service quality and the plate.

    We built an AI agent that simply takes that work off the owner's desk. They have two options: forward the invoice to a dedicated email (if the supplier sent a PDF) or snap a photo on their phone into a Telegram bot (if it is a paper invoice). The rest — OCR, product recognition, matching against the stock database, updating quantities and cost of sales — runs automatically, in 20 seconds, 24/7.

    Under the hood, Google Cloud Vision reads the scan, Claude recognises items and vendors, Google Sheets acts as the stock database. Make orchestrates everything in a single scenario that handles both input channels with the same business-logic code. Adding a third channel (e.g. WhatsApp) is a half-day job, not a new project.

    Who this is for

    • Restaurants, bistros, food trucks and cafes handling several supplier deliveries a day
    • Grocery stores and delicatessens with high fresh-product turnover
    • Small HoReCa chains where bookkeeping is outsourced and every invoice is billed
    • Any B2B operation where PDF or paper invoices arrive late and with errors

    What this agent does

    • Accepts invoices via email (PDF/JPG attachment) or Telegram (phone photo)
    • Runs OCR on the document and extracts: vendor, tax ID, date, invoice number, item list, net/VAT/gross amounts
    • Matches line items against the existing product database (recognises "Black Tiger Shrimp 500g" despite supplier naming variations)
    • Updates stock in Google Sheets in real time, with a full audit trail
    • Detects duplicates (the same invoice submitted twice is not booked twice)
    • Sends a confirmation message — by email or Telegram — summarising what was booked
    • Escalates to a human: if OCR is uncertain or items can't be matched, the agent asks for verification instead of guessing

    „Saved me an hour a day and finally I know what each dish actually costs me — today, not at the end of the month."

    — Shrimp Bistro Bar Krewetkowy
    4 min → 20 s
    Booking time
    15–25
    Invoices/day
    97%
    OCR accuracy
    2 tygodnie
    Deploy time
    Stack
    MakeGoogle Vision OCROpenAI GPTAnthropic ClaudeGoogle SheetsTelegram Bot API

    Problem

    Staying active on social with an AI focus is a treadmill: every day you need to find interesting news, write a script, record a video, edit it, post it. For a single creator that is a half-time job — 15-20 hours a week on feeding the feed before you even talk to a client.

    Solution

    We built a 4-stage agent that orchestrates the whole production. Stage 1: scraping interesting AI articles from RSS and blogs (Inoreader + GPT classifies whether a topic is "worth covering"). Stage 2: writing the script in brand voice (GPT with a dedicated prompt + examples). Stages 3 and 4: production — the same script produces a long-form video (Gamma builds a presentation) and a short with a talking avatar (HeyGen + ElevenLabs). Each of the four Make scenarios runs independently, so a single stage (e.g. script style) can be re-tuned without rebuilding the rest.

    Outcome

    From 15-20 hours a week on content, the creator dropped to roughly 2 hours of approvals and small fixes. Output tripled while staying stylistically consistent — every video uses the same prompt and the same ElevenLabs voice. The reclaimed time goes where it should: client work.

    How it works

    Stage 1 — Article collection (RSS → AI)

    RSS articles monitor

    Inoreader

    Fetch page content

    HTTP

    AI text generation

    OpenAI GPT

    Database write

    Google Sheets

    Stage 2 — Script writing

    Database lookup

    Google Sheets

    AI content analysis

    OpenAI GPT

    Database write

    Google Sheets

    Stage 3 — Main video (presentation)

    Database lookup

    Google Sheets

    AI voice synthesis

    ElevenLabs

    File archive

    Google Drive

    File sharing

    Google Drive

    Presentation generation

    Gamma

    Stage 4 — Short with avatar

    Database lookup

    Google Sheets

    AI voice synthesis

    ElevenLabs

    File archive

    Google Drive

    File sharing

    Google Drive

    Avatar video generation

    HeyGen

    Deployment story

    Producing valuable AI content is a paradox: the topic is hot, but the pace of change leaves manual production behind. By the time you film "GPT-X release", the world is debating something else. Classic trade-off: either you put half the week into content and lose business, or you keep business and the feed dies.

    Our answer is a pipeline approach — instead of one giant scenario, we run four specialised ones. Each has a single job and does it well. That architecture pays off later: when the client wants a different video style, we change only stage 4. When they want more sources — stage 1. The rest of the production stays untouched.

    The stack combines today's strongest AI tools: ElevenLabs for voice synthesis (we clone the brand voice once and reuse it everywhere), HeyGen for talking-avatar video, Gamma for instant presentations from a script, and OpenAI GPT for both news classification and creative script writing. Make orchestrates the whole thing — a temporary outage of any single API does not stop the pipeline because the stages are decoupled.

    Who this is for

    • Content creators and online personalities publishing daily short/long videos
    • Marketing agencies running social for multiple clients in parallel
    • Companies building thought leadership in technical niches (AI, fintech, dev tools)
    • Anyone who says "I don't have time to record a video" — and is right

    What this agent does

    • Watches selected RSS sources and blogs via Inoreader, filters items with GPT for brand fit
    • Fetches full article content (HTTP) and summarises it into a script-ready structure
    • Writes scripts in a consistent brand voice — GPT uses a prompt library + examples from prior recordings
    • Generates voice synthesis in ElevenLabs using a pre-cloned creator voice
    • Produces short reels with a talking avatar (HeyGen) and full videos / presentations (Gamma) from the same script
    • Stores every artefact (audio, video, presentation) on Google Drive with publish-ready sharing
    • Logs each stage status into Google Sheets — easy to see where a given topic is stuck
    20 h → 2 h / tyg
    Time spent
    3×
    Output increase
    100%
    Voice consistency
    4 tygodnie
    Deploy time
    Stack
    MakeInoreaderOpenAI GPTElevenLabsHeyGenGammaGoogle DriveGoogle Sheets
    Autonomous AI Systems

    Accelerate Your Growth: AI Agents & Automation by Vizeon.ai

    This is the age of exponential efficiency. Talent is scarce, markets shift overnight, and manual workflows erode your margin with every click. AI Agents & Automation from Vizeon.ai transform operational drag into high-octane momentum—making agility, scalability, and intelligent process orchestration core to your digital DNA.

    CEO Priority: Remove Bottlenecks, Amplify Results

    If your business runs on fragmented tools and hands-on processes, you lose out—on speed-to-market, data insight, and ROI. Legacy approaches can’t keep up with omnichannel customer demands or the pressure to innovate. That’s where our AI Agent ecosystem comes in—blending intelligent automation with human expertise for repeatable, predictable outcomes at scale.

    What Sets Vizeon.ai’s AI Agents & Automation Apart?

    • Task Automation, Evolved: Beyond simple scripting, our autonomous AI Agents read, write, classify, and decide—accelerating everything from onboarding to claims processing with context-aware intelligence.
    • 24/7 Digital Workforce: Deploy tireless, cloud-native agents. Run complex workflows, answer customer queries, or trigger cross-system actions—instantly, reliably, and at volume.
    • Seamless Integration: Powered by Make.com, Vizeon agents interface with your existing stack. CRMs, ERPs, emails, databases—our automation slashes API complexity and operational friction.
    • Agility Redefined: Replace months-long projects with no-code builds. Vibe Coding—our next-gen programming paradigm—lets your team and ours ship AI automations in days, not quarters.

    Strategic Use Cases: Where AI Agents Impact Your Bottom Line

    • Sales Acceleration: Automate lead qualification, enriching, and nurturing—so your reps focus on closing, not clicking.
    • Customer Service 4.0: Deploy AI Agents for instant ticket triage, status updates, or conversational support across channels. Human agents focus on high-value conversations.
    • Operations at Scale: Let AI orchestrate document processing, compliance checks, and inventory updates, cutting manual hours without sacrificing quality.

    ROI, Speed, Security: The Vizeon.ai DNA

    Every automation is ROI-focused: Lower operational costs, minimize error, and free up human potential. Data security and process traceability are standard, not an afterthought. Integration with Vizeon's AI-driven video ads? Automated feedback loops optimize messaging—powered by the same infrastructure. Need to pivot fast? Our Vibe Coding platform shrinks iteration cycles by 80%. Each solution is engineered to amplify efficiency—and future-proof your edge.

    Deployment Blueprint: From Pain Point to Pilot to Scale

    • Discovery: Identify high-impact automation targets via data-driven audit.
    • Prototype: Deploy a minimum viable AI Agent for one workflow—in days.
    • Iterate & Integrate: Expand automation scope and connect to your SaaS stack or proprietary systems.
    • Optimize: Monitor, measure, and retrain agents. Continuous improvement is built into every engagement.

    FAQ: CEO Quickfire

    1. How fast can we automate core processes?
      With Vizeon.ai’s Vibe Coding and Make.com backbone, expect pilot automations in as little as one week. Full-scale rollouts typically take two to six weeks, depending on complexity.
    2. How secure are AI Agents with our sensitive data?
      Our agents operate in secure, GDPR-compliant cloud environments with full audit trails. Data never leaves your defined perimeter; encryption and RBAC are standard.
    3. Will AI automations replace our teams—or empower them?
      Our approach augments your workforce, removing repetitive grunt work so specialists focus on strategy, innovation, and high-touch engagement. Upskill potential, not headcount reductions.

    Ready to accelerate, automate, and scale? Contact us and automate your business

    Automate your first process

    Ready Automation Systems

    Proven solutions we can implement in your company today

    Smart Logistics

    Automation of PDF invoice processing and inventory management. Claude 3.7-based system extracts data from documents and updates the database in real-time.

    • Automatic invoice OCR
    • Inventory sync
    • Telegram notifications
    • Analytics reports

    HR Tech

    Automatic CV screening and job matching. Our AI Matcher analyzes candidate competencies and schedules meetings via Cal.com.

    • AI CV analysis
    • Automatic matching
    • Meeting scheduling
    • Feedback automation

    Custom Agents

    We build dedicated AI agents for custom client requirements. From simple automations to complex multi-agent systems solving complicated business problems.

    • Dedicated architecture
    • Integration with your systems
    • Scalable solutions
    • 24/7 support

    Need a custom solution?

    We build custom AI agents tailored to your unique business needs. Contact us and tell us about your challenge.

    Describe Your Project
    AI Agents in Your City

    AI Agents across Poland

    Click your city to learn more about our services in your location.

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    Get Started

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    Your transformation starts here.

    Get in touch and discover how AI automation can revolutionize your business.

    Vizeon Sp z o.o.

    NIP: 9532811123

    Address

    ul. Karpacka 31a/20, 85-164 Bydgoszcz, Poland

    Email

    tomek@vizeon.ai

    Phone

    +48 574 089 294
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