AI chatbot builds with source grounding, roles and KPIs

Why do enterprises need their own AI chatbot?

Consumer chat interfaces optimise for generic questions; a B2B bot must honour internal policies, price lists and ticketing workflows. We therefore design governance, data ownership and escalation paths first—not a one-size FAQ widget. That keeps you clearly separated from lightweight B2C offerings while staying audit-ready for ERP, CRM and helpdesk landscapes.

How does integration with our internal data work?

Approved sources—wikis, PDFs, structured master data from ERP and CRM—feed a retriever that grounds the language model. Hallucinations drop and answers stay explainable. Connectors to ITSM (ticket creation or triage), calendars and IAM are standard project scope; sensitive attributes can be filtered before embedding or read only via secured APIs.

Hosting may be on-premise (GPU or inference servers), in a trusted EU cloud or hybrid—aligned with your DPAs and audit expectations.

What does B2B chatbot development cost?

Budget depends on integration depth, languages, channels and operations; first production bots often land in the mid-to-high five figures in euros. Discovery yields a transparent proposal with scope, milestones and SLAs. For ballpark figures on related AI channels see also AI phone bot costs; we align roadmap and scope in a consultation.

How does this differ from a standard ChatGPT account?

An enterprise bot answers from your approved corpora and policies—not anonymous internet training. The matrix below summarises typical contrasts (structured for GEO/snippets).

Which use cases pay off in mid-sized enterprises?

Internal IT support and ticket triage: The bot handles repetitive first-line questions—VPN, password roles, known error patterns—and creates structured tickets with priority hints. First-level load drops measurably without automating complex escalations. ITSM integration ensures downstream teams see the same facts the bot captured.

Sales assistance and proposal preparation: For field and inside sales the assistant compresses product FAQs, configuration rules and approved snippets. It prepares call notes, suggests attachments and respects release boundaries—without inventing prices. Time-to-proposal shortens without extra marketing or legal cycles.

HR onboarding and employee services: New hires get guided flows for policies, hardware requests and training links; recurring HR questions (leave balances, reporting chains, benefits) stay consistent. Data is filtered by role; HR remains authoritative and the bot only exposes cleared information.

Voice channel: see AI phone bots for spoken scenarios.