Decision guide · 12 criteria · 18 min read

Which AI to choose in 2026?

The B2B AI market polarized in 2025-2026 between generic AI (ChatGPT custom, Tidio + GPT, Intercom Fin) and vertical AI (Orkelia, a few specialized competitors). This guide helps you choose based on your sector, your budget and your regulatory constraints.

1. The two main AI families in 2026.

Family 1

Generic AI (chatbot+LLM)

Typical tools: Tidio + GPT, Intercom Fin, Crisp + AI, ChatGPT custom GPT, Drift.

Principle: a well-promptable LLM answers everything, across all sectors.

  • Fast self-serve setup (1-3h)
  • Visible pricing (€29-99/user/month)
  • Versatile (FAQ, support, qualification)
  • Hallucinations on regulated professional topics
  • No native profession-specific integrations
  • 60% retention at 12 months in B2B
Family 2

Vertical AI (Orkelia & co)

Typical tools: Orkelia (FR), Hippocratic AI (US health), Forethought (US support).

Principle: a complete system built around a specific sector (health, restaurants, transport, etc.).

  • Built-in professional vocabulary + calibrated escalations
  • Native profession-specific integrations (Doctolib, Combo, etc.)
  • 85%+ retention at 12 months
  • Native GDPR / AI Act compliance
  • Longer setup (7-14 days)
  • Higher headline pricing (€297-997/month)
  • Limited to the targeted sector

2. 12 operational selection criteria.

CriterionGeneric AIVertical AI
Initial setup1-3h7-14 days
Self-serve possibleYesNo (managed)
Precise professional vocabularyWeakNative
Native profession-specific integrationsGeneric (Zapier)Direct APIs (Doctolib, Combo)
Hallucinations on regulated professionsHighSafeguards
Native GDPRVariableNative
AI Act high-risk compliance (health)NoYes
Headline cost /month (1 user)€29-99€297-997
Real cost /year (with founder time)€20-50K€3.5-12K
Observed 12-month B2B retention~40%~85%+
Built-in human escalationNoYes
Direct founder supportNoPro+ plan

3. Decision tree by sector.

Health (doctor, dentist, clinic, physiotherapist)

Verdict: Vertical AI mandatory. Market regulated by health GDPR + AI Act high-risk + HDS. No generic AI passes the audit. Orkelia Clinic (€497/month) or Hippocratic AI (US).

B2B outbound (SaaS, agency, consulting)

Verdict: "Managed" vertical AI. Lemlist self-serve has a real cost of €36-54K/year with founder time captured. Orkelia Commercial managed service ~€6K/year. ×7 to ×9 cheaper.

Restaurants (bistro, fine dining, catering, pizzeria)

Verdict: "Operational brain" vertical AI. Combo / Skello handle structural scheduling — Orkelia Restaurants handles the day-to-day unexpected events (Insta DMs, absences, anti no-show). Compatible, not competitors.

Transport (ride-hailing, fleet, logistics, ambulance)

Verdict: Vertical AI profitable from the first month. For an independent ride-hailing driver, Uber commission avoided (27%) on 25 corporate rides/month = +€2,100/year. Orkelia ride-hailing cost: €397/month.

Trading / Individual investing

Verdict: Bloomberg Terminal (€24,000/year) inaccessible. Predator (€120/year) = 200× cheaper for SEC EDGAR + Polymarket + macro. Not the same target — not the same price.

Atypical professions (lawyer, real estate, plumbing, coach, architect)

Verdict: Tailor Program (custom build). No standard branch covers these professions, but the flat-fee Build + monthly Run model makes them economically viable (€4,500-8,500 + €600-1,200/month).

Basic FAQ / customer support (generalist e-commerce)

Verdict: Generic AI is enough. For a DTC e-commerce with 80% repetitive questions (delivery, returns, sizes), Tidio + GPT or Intercom Fin does the job for €30-100/month. No need for vertical AI.

4. The headline cost trap.

The main mistake in 2026: comparing Lemlist's €59/month to Orkelia Commercial's €497/month and concluding "Lemlist 8× cheaper". Incomplete calculation.

Lemlist requires 30-45h/month of operational work (deliverability, templates, sourcing, A/B testing, monitoring). At €100/h of founder time, that's €36-54K/year captured on tasks that don't move your business forward. Orkelia Commercial is all-inclusive at €6K/year.

See the full white paper for the detailed calculation across 7 levers.

5. The professional hallucinations trap.

In a regulated sector (health, finance, legal), a hallucination = a real risk. A generic ChatGPT agent that invents a dosage, an implant price, or a legal procedure exposes you to complaints, fines, accidents.

Vertical AIs (Orkelia included) block these hallucinations via:

  • Whitelisted tool-use (max 9 tools per workspace)
  • Pre-LLM anonymization of sensitive data
  • Post-generation check (the agent never proposes a price that isn't in the database)
  • Automatic escalation on critical signals

Full details in the Orkelia AI policy.

Not sure of the right choice?

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