Generate investment pitch decks from financial statements and market research in hours

A founding team in London raises a Series A in eight weeks. Their deck is polished, their narrative is clear, and their data visualisations make sense. Across town, another founder has spent the same eight weeks shuffling spreadsheets into PowerPoint slides, tweaking colours, rebuilding charts by hand, and rewriting copy to match investor expectations. One team got to refine their strategy. The other was stuck making decks. The difference between these two scenarios often comes down to process. Pitch deck creation is not inherently difficult; it is tedious. You extract metrics from financial models, write narrative context, design slides, ensure consistency across forty pages, then iterate based on feedback. Each iteration means touching design, copy, and data in isolation. A single change to your unit economics ripples across five slides and three visualisations. Manual work compounds. The good news is that this workflow exists at the intersection of AI automation. You have models that write investor-grade copy, tools that generate infographics on demand, platforms that build UI without design effort, and orchestration layers that can wire everything together. The result: from financial statement to presentation-ready deck in hours, not weeks.

The Automated Workflow

This workflow moves data through four distinct stages: extraction, narrative generation, visualisation, and assembly. We will use n8n as our orchestration layer because it offers strong webhook support, flexible HTTP node configurations, and straightforward integration with AI tools. Zapier would work as a simpler alternative if you prefer fewer setup steps; Make offers similar flexibility to n8n.

Stage 1: Financial Data Extraction and Parsing

Your starting point is a financial model, usually a spreadsheet or PDF. For this workflow, assume the founder uploads a CSV file containing monthly revenue, customer acquisition cost (CAC), lifetime value (LTV), runway, and headcount. The orchestration begins when this file lands in a designated folder, triggering an n8n workflow via webhook.

CopyPOST /webhook/pitch-deck-trigger
Content-Type: application/json { "file_url": "s3://pitch-deck-uploads/financial_model.csv", "company_name": "TechStartup Ltd", "funding_round": "Series A", "timestamp": "2026-03-15T09:30:00Z"
}

The n8n workflow receives this webhook, retrieves the CSV file, and parses it. Use a simple node to extract key metrics.

Copyjson
{ "metrics": { "arr": 450000, "mrr_growth": 12.5, "cac": 1200, "ltv": 8400, "runway_months": 18, "headcount": 8 }, "company_name": "TechStartup Ltd", "market_segment": "B2B SaaS"
}

Stage 2: Narrative Generation with Copy.ai

Once metrics are extracted, send them to Copy.ai, which generates narrative copy for key slides. Copy.ai has an API that accepts structured prompts. Rather than manually writing five different versions of your market opportunity slide, Copy.ai produces multiple variants in seconds.

CopyPOST https://api.copy.ai/v1/generate
Authorization: Bearer YOUR_COPY_AI_API_KEY
Content-Type: application/json { "prompt": "Write a compelling investor-facing narrative for a Series A pitch. The company is TechStartup Ltd, a B2B SaaS platform. Monthly recurring revenue is £37,500 with 12.5% month-on-month growth. Customer acquisition cost is £1,200, lifetime value is £8,400, giving an LTV:CAC ratio of 7:1. Write for institutional investors. Keep under 100 words. Focus on product-market fit proof and repeatable unit economics.", "max_tokens": 150, "temperature": 0.7
}

Copy.ai returns polished copy ready for the deck. Store this output in your orchestration layer so you can reference it later.

Stage 3: Infographic and Chart Generation

Financial metrics demand visual clarity. Text2Infographic and Diagram handle this stage. You will send your extracted metrics to Text2Infographic to automatically generate charts showing revenue trajectory, CAC payback, and runway projection.

CopyPOST https://api.text2infographic.com/v1/generate
Authorization: Bearer YOUR_TEXT2INFOGRAPHIC_KEY
Content-Type: application/json { "title": "Financial Snapshot", "data_points": [ { "label": "Monthly Recurring Revenue", "value": "£37,500" }, { "label": "MoM Growth", "value": "12.5%" }, { "label": "LTV:CAC Ratio", "value": "7:1" }, { "label": "Runway", "value": "18 months" } ], "style": "professional", "format": "png"
}

Diagram generates custom visualisations of your business model or competitive landscape. This step reduces design work dramatically; instead of manually creating SVGs or wrestling with design tools, AI generates structured diagrams that communicate complex relationships.

Stage 4: Deck Assembly with v0 and Dora AI

This is where everything converges. v0 is Vercel's AI-powered UI generation tool. Feed it your narrative, metrics, and infographics, and it produces a slide template with correct spacing, typography, and colour consistency across all slides.

CopyPOST https://api.v0.dev/generate
Authorization: Bearer YOUR_V0_API_KEY
Content-Type: application/json { "slides": [ { "title": "The Opportunity", "content": "Generated narrative copy from Copy.ai", "visual": "url_to_infographic_from_text2infographic" }, { "title": "Unit Economics", "content": "CAC £1,200, LTV £8,400, payback 4.3 months", "visual": "diagram_from_diagram_api" } ], "theme": "professional", "output_format": "html"
}

v0 outputs HTML slides. Export these to PDF using a headless browser tool (Puppeteer or Playwright) to generate your final deck. Dora AI sits on the periphery of this workflow. If your deck needs a landing page or website component to support your pitch, Dora generates prompt-driven website designs that match your deck's visual identity.

Orchestration Glue

Here is the n8n configuration that ties everything together:

Copy1. Webhook trigger (file upload)
2. Read file and parse CSV
3. Extract and structure metrics
4. Call Copy.ai API with metrics
5. Call Text2Infographic API with metrics
6. Call Diagram API with business model data
7. Call v0 API with all generated content
8. Convert v0 HTML output to PDF
9. Send PDF to founder's email
10. Log completion in database

Use n8n's HTTP Request node for each API call. Chain these nodes together with conditional logic so that if one step fails, the workflow notifies you before attempting the next stage. Set a timeout of 60 seconds for Copy.ai and Text2Infographic, which are typically fast; v0 may take 30-45 seconds.

The Manual Alternative

If you prefer human oversight at each stage, operate the same tools individually. Upload your financial model to Copy.ai and write multiple narratives yourself. Use Text2Infographic's web interface to customise chart styles. Hand-edit the v0 output to fine-tune any slide layout. This approach takes longer but gives you granular control over tone and positioning. Many founders choose a hybrid approach: automate data extraction and visualisation, then manually refine the narrative and slide order.

Pro Tips

Error handling and retries.

API calls can fail.

Build retry logic into your n8n workflow; set exponential backoff so that failed requests retry after 2 seconds, then 4, then 8. Most failures are transient. After three retries, alert the operator.

Rate limits and batching.

Copy.ai and Text2Infographic have rate limits. If you are processing multiple pitch decks in parallel, queue requests and stagger them by 2-3 seconds. This prevents hitting rate limits and keeps API costs predictable.

Data sensitivity.

Financial statements contain confidential information. Use environment variables to store API keys, never commit them to version control. Encrypt files in transit and at rest. Delete processed files after 30 days.

Cost optimisation.

Use GPT-4o mini instead of GPT-4.1 where Copy.ai allows it. Narrative generation does not require the largest model; quality remains high, and cost drops by 60 percent. Reserve o4-mini for complex competitor analysis slides.

Version control and iteration.

Store each generated deck with a timestamp. When a founder iterates, create a new version rather than overwriting. This lets you compare iterations and revert if needed.

Cost Breakdown