Solutions for Software

Technical Support on Autopilot

Reduce L1 support ticket volume and activate your users faster. Interlinked AI resolves technical questions by exploring your documentation and assists with onboarding 24/7.

Fewer tickets, more active users

Tools designed to scale digital product companies.

1

Semantic Search in Docs

Connect your Help Center or API docs. The agent will read thousands of articles and deliver the exact answer with links to users.

2

Conversational Onboarding

Guide new sign-ups step-by-step via WhatsApp or web widget so they complete their profile and understand your app's value quickly.

3

Smart Escalation

If an issue requires a human or is a critical bug report, the AI captures the logs and silently hands over to your team in Slack or Zendesk.

4

Feedback Collection

Schedule short and friendly NPS surveys after an interaction ends to measure account health without friction.

Use Cases

Discover how Interlinked optimizes the growth of other Startups.

Level 1 Resolution (Deflection)

Stop your engineering team from wasting time answering 'How do I reset my password?' or 'Where is my API key?'. AI resolves 80% of these queries.

Demo Scheduling

Qualify B2B leads from your website by evaluating their company size. If they match your Ideal Customer Profile (ICP), schedule a demo with your Sales team.

Product Updates (Changelog)

Notify about new features launched directly through your users' favorite channels and prompt them to try them conversationally.

Fast deployment for agile teams

01

Sync your Knowledge Base

Paste the link to your Notion, Gitbook, Zendesk, or upload technical PDFs to train the foundational model.

02

Integrate your Stack

Use our Webhooks to read user data (id, current plan) from your database and provide ultra-personalized answers.

03

Deploy your Widget or WhatsApp

Copy and paste a script into your SaaS or connect the WhatsApp Business API and start deflecting tickets immediately.

Evaluation paths

Keep evaluating the fit

Use these links to validate implementation details, commercial fit, and proof before moving forward.