Turn your internal data into an instant, queryable knowledge hub. This agent allows customers to get answers from complex manuals and docs via chat, providing immediate, researched answers by blending internal data with live web intelligence. Additional Information: How does it work? When a user submits a query via the communication channel, the agent first parses your uploaded documentation to find a precise match. If the internal data is insufficient or outdated, it triggers an autonomous research sequence to gather real-time data from the web. It uses natural-language understanding to prioritize your files as the primary source while using the internet as a fail-safe for current information. Optimized for messaging interfaces, it delivers hierarchical, concise replies and logs every interaction for quality assurance and audit trails. What's in it for me? This agent reduces the volume of repetitive questions reaching your team by handling documentation lookups automatically, 24/7. The interaction log doubles as a gap analysis tool — showing you exactly where your documentation is failing the people who rely on it. Perfect for Support, HR, Legal, Sales Enablement, and IT teams who need their existing documentation to do more work without adding headcount to manage it.

This workflow automatically enriches KlickTipp contact data from unstructured context using AI Agents. It accepts an email address together with source content such as a LinkedIn profile, website text, CRM note, or any other contact-related description, and extracts useful contact details like first name, last name, company name, website, job title, department, and social profile URLs. For each extracted value, the workflow also returns a quality score from 0 to 100, helping you evaluate how reliable the result is before storing it. The enriched values are then mapped into KlickTipp contact fields, including global fields and custom fields such as LinkedIn URL, Instagram URL, Facebook URL, Job Title, or Department when configured. This workflow is especially useful for marketers, agencies, sales teams, recruiters, coaches, and service-based businesses that want to improve contact records at scale without manually reviewing every source. Important: Adjust section 5 in the agent instructions so the AI understands your custom field mappings, or remove the example mappings if you do not use custom fields. The current confidence threshold for updating existing values is set to 70%. You can set it to a different value in the prompt.

This workflow provides an AI-powered KlickTipp tag management agent. It accepts a contact email address together with explicit tag instructions, either as a natural-language request, and manages the requested tags for an existing KlickTipp contact. The agent can check the contact, load the current KlickTipp tag list, create missing tags when explicitly requested, apply tags, remove specific tags, or remove all currently assigned tags from the contact. It compares tag names using exact normalized matching, so differences like capitalization or repeated spaces do not cause duplicate tag creation. For example, VIP Customer and vip customer are treated as the same tag. This workflow is especially useful for marketers, agencies, sales teams, coaches, and automation builders who want to manage contact segmentation in KlickTipp through simple instructions such as “Add VIP and Webinar Lead to [email protected]” or “Remove all tags from [email protected]”. Important: The agent only acts on explicit tag commands. It must not infer tags from background context such as purchases, job titles, plans, roles, or descriptions. For example, “[email protected] just bought the Premium Plan and is a CEO” should not automatically create or apply Premium Plan or CEO tags unless the user explicitly asks to add those tags.