AI-Powered Sales Assistants

The first sales assistant that actually thinks

Only 12 implementations in 2026 | Next available slot: April 2026
Your competition uses chatbots that frustrate customers.
You will have a digital seller that converts them 24/7.
280%
Average ROI first year
23%
Conversion vs 3% industry avg
€47K
Additional revenue/month

The numbers that actually matter

We don't sell marketing promises. We deliver measurable, auditable results.

23%
Average conversion rate
€47.3K
Additional monthly revenue
89%
Lead qualification accuracy
<30sec
Response time
280%
Documented first-year ROI
12
Maximum clients in 2026

The real problem no one wants to admit

Your sales team can't compete 24/7

While your competition sleeps, you lose deals. While you respond to emails, your hot lead is talking to another provider.

Leads dying while waiting for a response

67% of B2B leads never receive adequate follow-up. Those who do wait 4-24 hours for an initial response—plenty of time to go with the competition.

Manual qualification that doesn't scale

Your senior team spends 60% of their time qualifying leads that will never buy, while 23% of real prospects slip away due to lack of immediate attention.

Post-form era: direct conversation

WhatsApp: 90% read rate, 60% response rate. Email marketing: 3% open rate. LinkedIn: saturated. Nobody wants to fill out forms, but your team can't be always-on.

Exponential opportunity cost

Every lead you don't respond to immediately has 400% less probability of converting. In B2B where the average ticket is €15K+, every lost lead hurts.

Our solution: intelligence, not automation

Why your assistant will be completely different

Most chatbots are expensive idiots with predefined scripts. Yours will be different by design.

Deeply understands your business

No rigid scripts or generic responses. AI trained specifically with your product documentation, use cases, common objections, pricing, and internal processes. Responds like your best sales rep.

Converts while your team rests

24/7 digital seller that never has a bad day, is never busy, and never loses conversation momentum. Qualifies leads, schedules meetings, handles objections, and does intelligent follow-up.

Knows exactly when to transfer

Intelligent escalation based on real context, not simple rules. Detects genuine interest vs curiosity, evaluates budget fit, passes complete context to humans, and continues exactly where it left off.

Continuously improves with every conversation

Applied machine learning: learns from successful conversations, automatically optimizes responses, A/B tests approaches, and builds an increasingly precise knowledge base.

Orchestrates your entire sales stack

Native integration with WhatsApp Business API, CRM (HubSpot/Salesforce/Pipedrive), email sequences, calendar booking, Slack notifications, and any webhook you need.

Enterprise security and compliance

SOC 2 Type II, data stored in EU, end-to-end encrypted webhooks, complete conversation auditing, and native GDPR compliance. Total peace of mind for CTOs.

The complete journey

From curious lead to paying customer: automated but human

Every step optimized for maximum conversion without losing the personal touch that closes deals.

1. Immediate contextual conversation

Lead arrives via web, WhatsApp, email, or referral. Assistant starts a conversation specific to the source, not a generic script. "I see you're looking at our e-commerce solution..."

2. Intelligent discovery in 90 seconds

In 2-3 exchanges, identifies if it's a real fit: approximate budget, timeline, decision process, specific pain points. No aggressive interrogation, natural conversation.

3. Specific value demonstration

Shows expertise with relevant cases for their industry/size. "We worked with a similar company that had exactly your challenge with..." Builds credibility without overselling.

4. Handoff at optimal moment

Transfers when interest is highest, not when the calendar permits. Your sales rep receives: complete context, identified pain points, budget range, timeline, next steps.

How we implement it: the NERVICO method

From idea to functioning, optimized assistant in 30-90 days, depending on complexity.

Week 1-2: Discovery & Architecture

Deep analysis of your current sales process, identification of specific use cases, KPI definition, and technical architecture design. Base infrastructure setup.

Week 3-4: Training & Integration

Intensive AI training with your specific documentation, historical success cases, common objections, and FAQs. Integration with CRM, WhatsApp Business API, and existing tools.

Week 5-6: Testing & Calibration

Extensive testing with real cases from your industry. Response calibration, handoff timing optimization, escalation rules adjustment. Beta testing with a subset of leads.

Week 7-8: Launch & Optimization

Go live with 24/7 monitoring. Real-time analytics, automated A/B testing of responses, continuous optimization based on conversion data. Ongoing team training.

NERVICO implementation process

Investment vs. return: real numbers

We don't sell consulting hours. We sell systems that pay for themselves with additional leads.

STARTER

To validate the approach

BUSINESS

For established operations

ENTERPRISE

For complex operations

Why NERVICO can do this right

We're not an opportunistic AI agency

5 years building enterprise software that works. Verifiable track record, not marketing hype.

Enterprise Tech Stack

Claude 3.5 + GPT-4o (best model per task)
Certified WhatsApp Business API
Scalable webhook architecture
Real-time analytics + alerting
SOC 2 Type II compliant
EU data residency

Real enterprise technical experience

5 years integrating complex systems for real clients. We know how to make things work in production, not just impressive demos that fail in reality.

Senior teams only, zero juniors

Every line of code is written by someone with 5+ years of experience. No juniors experimenting with your budget and critical timeline.

Real integrations, not just pretty APIs

Experience connecting temperamental legacy systems, CRMs with specific quirks, complex webhooks, and APIs that change without notice.

Product focus, not project focus

Your assistant will continuously improve, not become obsolete. Maintainable code your team can evolve without depending on us forever.

Radical technical honesty

If something doesn't make sense for your specific case, we tell you before charging. We prefer losing a sale over losing your long-term trust.

Boutique approach that scales

We work with few clients at a time to give real attention. But with methodology and tools that allow scaling when you're ready.

Verifiable success stories

Real results from real companies. Auditable numbers, not marketing fluff.

B2B SaaS Startup | 50 employees

"From 6 to 29 closed deals/month"

Initial response rate: 23%89%
Lead qualification time: 4 hours90 sec
Deals closed/month: 6.429.8
Additional revenue: +€47K/month
"In 6 months, the assistant generated more qualified pipeline than our last 3 events at €15K each."
Premium E-commerce | 200 employees

"73% reduction in cart abandonment"

Cart recovery rate: 12%73%
Average response time: 4 hours30 sec
Customer satisfaction: 7.2/109.1/10
Additional revenue: +€156K/year
"Our customers now prefer talking via WhatsApp over calling. The bot understands their queries better than some humans."

Questions we get asked before deciding

Real concerns from CTOs, CMOs, and founders evaluating sales assistants.

Does it really work better than a human team for qualification?

It doesn't replace humans, it multiplies them exponentially. The assistant does initial qualification 24/7 with perfect consistency, your team focuses on big deals and closing. Result: 3-5x more conversions with the same headcount.

What happens if the assistant gives incorrect information or promises something we can't deliver?

Multiple safeguards: knowledge base curated by your team, automatic escalation when uncertain, complete conversation audit trail, and approval workflow for important promises. We prefer an honest "let me check on that" over incorrect information.

Does it work for highly technical industries or complex products?

It depends. Excellent for initial qualification and scheduling technical demos. For technical deep dives, it works better as a first filter that transfers to technical sales. We've had success in SaaS, fintech, and manufacturing with a hybrid approach.

How do you measure ROI and when do we see results?

Granular tracking: leads captured, qualification rate, meeting show rate, pipeline generated, closed deals attribution. First results in 2-4 weeks, typically positive ROI by month 3-4, complete optimization by month 6.

What control do we have over responses and how easy is it to make changes?

Total control via dashboard: review and approve responses, define escalation rules, adjust tone of voice, add/remove information, A/B test different approaches. Live changes without downtime. Your assistant, your rules.

What's the real difference from €500/month chatbots we see in ads?

Night and day difference. Those are template bots with predefined scripts. We build custom AI trained specifically for your business, integrated with your stack, optimized for your customer journey, with ongoing optimization. Investment vs expense.

What about GDPR and data privacy with customer conversations?

Native GDPR compliance: EU data residency, end-to-end encryption, complete audit trails, automatic right to deletion, integrated consent management. Complete documentation for your DPO. Privacy by design, not an afterthought.

Does it include technical support or are we left alone after implementation?

Ongoing partnership, not fire-and-forget. 24/7 monitoring, monthly data-based optimization, direct technical support (no tickets), dedicated Slack channel. You talk to whoever built the system, not a call center.

Only 12 implementations in 2026

This isn't marketing scarcity. It's operational reality. Each implementation requires real senior attention for 8-12 weeks, not a junior following a checklist. We prefer doing a few things excellently rather than many things mediocrely.
4
Implementations completed
Average 6.2 months ROI payback
8
Slots available
Current queue: 2 in discovery
April
Next available slot
Implementation start date

Why do we limit to 12?

Each bot is 100% customized: No templates, no shortcuts, custom training with your specific data.

Hands-on integration: We connect with your exact stack, including quirky legacy systems.

Founders involvement: Jonathan and the senior team are involved in every implementation.

Ready for the seller that never sleeps?

30-minute private demo. No slides, just a real conversation with your assistant configured for your specific industry.