Alpha Level

An employee that never sleeps.

Custom AI assistants on Claude Sonnet 4.6 — trained on your products, docs, tone of voice and policies. Resolves up to 80% of conversations without a human, and hands off cleanly when it can’t.

80%auto-resolved (avg)
<1.4sresponse time
€50Kannual savings (typical)

What your chatbot actually does.

Real workflows. Real integrations. Real money saved — not a glorified search bar.

Customer support

Order status, refunds, troubleshooting, policy questions. Connected to Shopify / Stripe / Zendesk — resolves in chat instead of escalating.

  • Ticket auto-resolution
  • Refund + return processing
  • Smart escalation to human

Lead qualification

BANT-style qualification through conversation. Only marketing-qualified leads reach your sales inbox — with full transcripts, scoring and CRM sync.

  • Custom qualification logic
  • HubSpot / Pipedrive sync
  • Round-robin assignment

Booking & scheduling

Demo calls, consultations, appointments — booked directly in chat with calendar awareness, reminders and rescheduling. Cal.com / Calendly / native.

  • Multi-team availability
  • Time-zone aware
  • Auto reminders + rescheduling

E-commerce concierge

Personal shopping. “What works for a 5’6” bridesmaid in November in Milan?” The bot answers, links the products, applies the discount, recovers the cart.

  • Product recommendations
  • Order tracking + status
  • Cart recovery campaigns

Internal knowledge bot

Trained on your SOPs, product manuals, HR docs and Notion. Your team finds answers in seconds — instead of pinging 6 colleagues on Slack.

  • Notion / Confluence / GDrive
  • Role-aware answers
  • Slack & Teams integration

Live analytics

See exactly what users are asking, what the bot couldn’t answer, where escalations cluster. Findings feed back into the next training cycle — the bot gets smarter every month.

  • Topic clustering
  • Resolution rate by intent
  • Auto-flag knowledge gaps

Custom-trained. Not a generic widget.

Each chatbot is a unique deployment on your data, with your tone — not a wrapper around a chatbot SaaS you’ll outgrow in 6 months.

01

Discovery

We map your top 100 queries, review docs, define what the bot must know — and what it must escalate. 2–3 days.

02

Knowledge base

We embed your KB, FAQs, catalogue and ticket history into a vector store. Versioned, queryable, fast. 3–5 days.

03

Integrations

Stripe, Shopify, Zendesk, Slack, your CRM — whatever the bot needs to actually take action, not just answer. 5–7 days.

04

Train & ship

Internal beta with your team, edge-case rounds, prompt tuning. Then live to your customers. Ongoing optimisation monthly.

The most capable models we can run cost-effectively.

We pick the model per task. Sonnet for the heavy lifting, Haiku for cheap intents, embeddings from Voyage. You don’t need to care — you just see the result.

Claude Sonnet 4.6 Claude Haiku 4.5 Voyage embeddings Pinecone LangChain Tool use API Stripe API Shopify Admin Slack / Teams Twilio WhatsApp Cloud

Does it make sense for you?

We’ll tell you if it doesn’t. The math is usually obvious within 30 minutes on a call.

It probably won’t pay off if
  • You get fewer than 50 support conversations / month
  • Your queries are extremely diverse and unpredictable
  • Your catalogue / docs change daily without versioning
  • Compliance forbids any AI in your customer touchpoint
It’s a slam-dunk if
  • You handle 500+ tickets / month with a small team
  • 80% of queries fall into 20 repeating categories
  • You sell online and want a 24/7 sales assistant
  • Your team wastes time digging through internal docs

SupportHub: 80% auto-resolved, €50K saved.

SaaS company, 8-person support team, drowning in tier-1 tickets. We deployed in 18 days. Six months later:

80%auto-resolved
24/7availability
€50Kannual savings
4.7/5CSAT
Read the SupportHub case study →

Ready to automate your support?

Book a 30-minute call. We’ll look at your actual ticket data and tell you within the call whether a chatbot would pay off — and if it would, how much.