We build your chatbot inside HubSpot, Zendesk or Odoo, connect it to live order and customer data, and keep it running after launch. Pinkcube's agent answers at every hour of the week, with a median first response of 7.7 seconds.
Jason, our COO, runs the call and scopes the chatbot with you.
CustomerHi, my order still hasn't arrived. Can you check where it is?
AI agentI found your order. It shipped and is with the carrier now, and tracking shows delivery tomorrow. I've added the tracking link to this chat.
Clients include
Pinkcube runs on HubSpot and Live Platforms on Zendesk. Both answer customers after your team has gone home. See all case studies
B2B e-commerce, HubSpot chatOne HubSpot widget answers in Dutch or English, looks up live order status in HubSpot and AfterShip, and keeps internal order notes out of every reply.
Live Platforms, gemstone marketplaces on ZendeskGemma answers from a knowledge base that refreshes weekly from both sites and escalates unhappy customers to Zendesk.
We later added a 1 to 5 star score for every conversation, with low scores flagged for review, and a voice version.
No reply reaches a customer on one model's first draft. Any check can stop it or hand the conversation to your team.
Screens every incoming message for prompt injection, so an attack stops before the main agent reads it.
Drafted only from your knowledge base and live order data. A filter keeps internal notes out of anything the customer sees.
A separate agent checks the draft against your business rules and compliance constraints. On Pinkcube's build a blocked draft goes back with the violation and the fix, for up to ten rewrites.
In office hours the conversation is assigned to an available agent through a CRM workflow and the bot goes silent. After hours it opens a ticket with the full transcript and tells the customer when your team will reply.
Built into the systems your support team already uses, and tested the way your customers behave.
HubSpot, Zendesk, Odoo or the system you run. Conversations log to their own pipeline and staff chats are filtered out, so your records stay clean without manual cleanup.
The agent reads your CRM and carrier tracking such as AfterShip, so a customer asking where an order is gets the current answer.
Once a person is assigned the bot stays silent, so a customer never gets two answers. It re-engages only when the conversation returns to an automated flow.
On Pinkcube's build the chat agent has no ticket permissions. A separate triage agent reads each finished chat and creates the ticket the chat agent promised.
Development, pre-production and production, with tests run against a staging copy of your live CRM before any release ships. A global error handler alerts your team in Slack and by email.
Simulated customers of every temperament run against the agent before launch, with sample orders and accounts. On Pinkcube's build, the scenarios that fell short became its business rules.
A custom build fits when your chatbot has to read and write your own systems. Compare all three options
| What you get | |
|---|---|
| Where it runs | Self-hosted n8n in your cloud, no per-seat licensing |
| Checking replies | A second agent checks every answer before it posts |
| Your systems | Reads and writes HubSpot, Zendesk, Odoo and AfterShip through their APIs |
| Testing | Simulated customers and end-to-end cases on sample orders |
| After launch | Monitored and improved by the engineers who built it |
No. We build on self-hosted n8n in your cloud, and the agent reads your CRM through its API with the permissions your team already has. For European teams under the EU AI Act and GDPR, our AI governance page shows the controls we build in.
A guarded chat agent like Pinkcube's goes from kickoff to live in 5 to 7 weeks. Pinkcube's went live seven weeks after kickoff, on the planned date. Yours depends on how many systems it reads, and we tell you before you commit.
We scope it on the discovery call and you see the cost before you sign. If you start with the AI Audit, its fee is credited toward your first build.
Yes. As an n8n Select Partner we build integration layers on top of ERPs and CRMs without changing the core system. For a Dutch Odoo implementation partner we built one that schedules about 1,500 dental appointments a week, described on our AI pilot page. Our n8n and SAP guide shows the same approach on SAP.
NIST AI 800-4 warns that a model can behave one way in pre-deployment tests and another in production. The second agent checks every answer against your rules whatever the main model does, and test scenarios keep running against the live system. Our AI managed services cover the monitoring after launch.
Yes. Pinkcube's agent answers in Dutch or English, and after hours it tells the customer in Dutch when the team will respond.
Answer a few questions about your team and what you want automated, then Jason scopes it with you on the call.
