The verdict in three sentences
Automating the sorting, extraction and replies of inbound emails and documents costs, in 2026, between 12,000 and 40,000 EUR, with a 100 to 800 EUR/month run and a 6 to 12 week timeline. A well-targeted back office cuts manual processing by 40 to 70 % and frees 30 to 80 h/month. The real comparison isn't RPA or AI, but rigid RPA versus AI + integration able to understand unstructured documents.
What AI actually automates
The typical flow combines OCR (reading attachments), classification (message type), extraction (key data) and reply generation or entry into a business tool. Each step has its own gain.
| Step | What AI does | Time saved | Complexity |
|---|---|---|---|
| Reading attachments (OCR) | Turns PDF/scan into text | 40 - 60 % | Low |
| Email classification | Sorts by type and priority | 30 - 50 % | Low |
| Data extraction | Pulls amounts, dates, refs | 50 - 70 % | Medium |
| Pre-filling business tool | Injects into CRM/ERP | 40 - 60 % | Medium |
| Suggested reply | Drafts a validated draft | 40 - 65 % | Medium |
Budget and running cost
Cost depends on email volume, document diversity and the number of integrations (mailbox, CRM, ERP, document store).
| Line item | 2026 range (EUR) | Note |
|---|---|---|
| Scoping + flow analysis | 2,000 - 5,000 | Volumetry, typical cases |
| OCR + AI classification | 4,000 - 12,000 | Models + rules |
| Extraction + integrations | 4,000 - 15,000 | CRM/ERP connectors |
| Testing + supervision + go-live | 2,000 - 8,000 | QA, handoff |
| Total build | 12,000 - 40,000 | 6 - 12 weeks |
| Monthly run (API + hosting) | 100 - 800 EUR/month | 2,000 to 20,000 emails |
| Maintenance | 250 - 700 EUR/month | Tuning + updates |
Classic RPA or AI + integration
RPA excels on repetitive, structured flows; AI handles variability (non-standard documents, natural language). In 2026, combining both is often optimal.
| Criterion | Classic RPA | AI + integration |
|---|---|---|
| Unstructured documents | Weak | Strong |
| Tolerance to variation | Low | High |
| Entry cost | Medium | Medium to high |
| Rule maintenance | Heavy | More flexible |
| Language understanding | None | Native |
| Best for | Fixed flows | Emails + varied files |
Mini case study
Karim, back-office manager at a trading SME in Dublin, handles 6,000 emails/month with attachments (purchase orders, supplier invoices). Two people spend 60 h/month each, i.e. 120 h/month. An automation at 26,000 EUR targets a 55 % cut in manual work: 120 x 0.55 = 66 h/month saved. At a loaded cost of 35 EUR/h, that's 2,310 EUR/month. After the run (600 EUR/month) and maintenance (400 EUR/month), the net gain is 1,310 EUR/month, a payback of ~20 months at launch, dropping below 12 months as processed volume rises.
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FAQ
What email volume justifies automation?
From 2,000 to 3,000 emails/month with repetitive attachments, the math turns favorable. Below that, semi-automatic sorting often suffices.
RPA or AI: which to choose?
If your documents are standardized and your rules stable, RPA is enough. Once there's variability (formats, language), AI + integration avoids costly rule maintenance.
How reliable is extraction?
In 2026, key-data extraction commonly reaches 90 to 97 % accuracy on clean documents, with human review on low-confidence cases.
How many hours can you really save?
Between 30 and 80 h/month depending on volume and automation rate, often the equivalent of a half-time freed for higher-value tasks.
How long to a first result?
A narrow scope (a single document type) ships in 6 weeks. The full scope takes 8 to 12 weeks depending on integrations.
Let's scope your project. Share your email volume, your document types and your target tools (CRM, ERP, document store): we'll scope a costed automation with an hours-saved target. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
