AI-Powered CRM
An AI CRM that builds behavioural segments, recommends the next action, and automates high-confidence triggers. Trained on your customers. +34% response rate.
What is an AI-powered CRM?
An AI-powered CRM is a customer relationship management system that replaces static, demographic segmentation with dynamic behavioural segments, recommends the next best action for each segment, and executes high-confidence actions automatically inside guardrails the team controls. The model trains on your customers' actual behaviour and your team's accept, modify, override decisions, so the recommendations sharpen with every campaign.
Industry analysts treat behavioural-AI CRM as the dominant 2026 form factor. Gartner expects more than half of B2C and D2C enterprises to operate behavioural rather than demographic segmentation by 2027. McKinsey's research on personalisation found enterprises with mature behavioural targeting see 5–15% revenue uplift and 10–30% marketing-spend efficiency gains over peers. Forrester has flagged the model-on-your-data architecture as the critical differentiator for outcomes that compound.
Headline facts
- +34% campaign response rate at Botilia after deploying the AI-Powered CRM.
- +18% customer lifetime value versus control cohort, six months in.
- −60% time on campaign planning, freeing the team for creative and message work.
- 4 to 5 weeks from contract to first live campaign.
- Per-tenant model isolation. Your model trains on your customers only, contractual under the MSA.
What the AI-Powered CRM does
- Behavioural segments that update daily, not demographic ones that go stale.
- Recommended actions per segment: send this offer, at this time, through this channel.
- Predictive automation with confidence thresholds the team controls. Every action logged, traceable, reversible.
- Self-improving from your team's accept, modify, override decisions.
- Trained on your customers, your outcomes, your product mix — not pooled aggregates from a hundred other companies.
- Multilingual content handling, Greek and English by default.
How it compares to off-the-shelf CRM platforms
Comparison between off-the-shelf CRM platforms and the AI-Powered CRM by InBusiness across six dimensions.
| Dimension |
Off-the-shelf (HubSpot, Salesforce Einstein, Klaviyo AI) |
AI-Powered CRM by InBusiness |
| AI training data | Pooled across thousands of customers | Trained on your customers only |
|---|
| Segments | Mostly demographic / static | Behavioural, refreshed daily |
|---|
| Recommendations | Generic playbook templates | Trained on your team's accept/modify/override decisions |
|---|
| Greek + English content | Limited | Native, no retrofit translation |
|---|
| Time to first live campaign | 8 to 16 weeks (typical) | 4 to 5 weeks |
|---|
| Pricing transparency | Sales call required | Published in EUR, monthly or annual |
|---|
Pricing
Three tiers, sized to customer-record count, channel coverage, and deployment model. Pay monthly for flexibility, or annually for the equivalent of a month free. Final pricing scales with the integration footprint.
AI-Powered CRM pricing tiers, indicative, in EUR, exclude VAT.
| Tier |
Best for |
Monthly |
Annual |
| Standard | Single brand, up to 50,000 customers | €590 / month | €6,400 / year |
|---|
| Growth | Multi-channel, up to 500,000 customers | €1,090 / month | €11,800 / year |
|---|
| Enterprise | Multi-brand, unlimited customers | from €1,990 / month | from €21,500 / year |
|---|
Frequently asked questions
Will the AI CRM act on customer data without our approval?
Only inside the rules you set. Predictive automation fires only on triggers you've enabled, at confidence thresholds you control. Every other recommendation is a suggestion the team accepts, modifies, or overrides. The system never publishes anything you haven't approved a class of.
How is this different from HubSpot, Salesforce Einstein, or Klaviyo AI?
Those products ship AI features trained on aggregate industry data. Useful, but generic. Our model trains on your customers' actual behaviour and your team's actual decisions — accept, modify, override. The recommendations sharpen because they're tuned to your business, not the average of a hundred others.
How does it handle GDPR and customer consent?
GDPR-aligned by design. EU-resident infrastructure, full audit trail of every automated action, configurable retention, right-to-erasure honoured at the segment level. Consent state from your existing CRM is mirrored — segments and triggers respect opt-out flags automatically.
What systems does it integrate with?
Out of the box: Shopify, WooCommerce, Magento, Salesforce, HubSpot, Mailchimp, Klaviyo, ActiveCampaign, Microsoft Dynamics, plus standard email/SMS/push providers. Custom connectors built during deployment for proprietary storefronts and data warehouses.
How long until we see results?
First live campaign in week 4 to 5. Botilia's headline numbers (+34% response, -60% planning time, +18% LTV) materialised within six months. The compounding effect — better segments, better recommendations — becomes visible from the second quarter onward.
Are our customer signals used to train models for other clients?
No. Each tenant has an isolated segmentation and recommendation model. We do not pool customer data, behavioural events, or outcomes across clients — ever. Your model is trained on your data only. This is contractual under the MSA, not a setting.
Read the case study: How we built Botilia's AI-Powered CRM. Companion products: AI IR Assistant, AI Disclosure Co-Pilot, and Enterprise AI Search.