AI Tools

By integrating third-party data sources, we enable your AI to deliver informed, real-time responses that go far beyond static knowledge or pre-loaded datasets.

Whether it’s pulling in the latest movie details from TMDB, enriching answers with context from Wikipedia, or referencing stock prices, flight statuses, weather forecasts, or product catalogs—your AI assistant can look it up, live. This isn’t just about information retrieval—it’s about augmenting conversations, automations, and workflows with verified, fresh, and contextual data from the world around your business.

External API Use Cases

• TMDB (The Movie Database):

“List 5 sci-fi movies released in the last year with a rating over 7.”

→ LLM fetches real-time data, filters, and formats the output.

• Wikipedia or Custom Knowledge Sources:

“Summarize the history of Kubernetes.”

→ Retrieves and processes external content on demand.

• Finance & Market Data:

“What’s the current stock price of Tesla?”

→ Queries a finance API and delivers the live value in context.

• Travel & Logistics:

“Check flight status for Lufthansa 456.”

→ Pulls the most recent status from a flight tracker API.

• Product or Inventory Checks:

“Is the black XL version of this item in stock?”

→ Accesses e-commerce or inventory systems via API.

LLM-powered tools don’t just execute single tasks—they orchestrate entire workflows. By analyzing intent, conditions, and context, the model can intelligently select one or more actions, sequence them, and use the output of one to inform the next. It’s like having an AI-powered operations manager embedded in your systems.

These actions can span departments—connecting your CRM, project management tool, support platform, internal databases, and even external services. With tool orchestration, the AI moves from being a responder to becoming a proactive operator.

Examples of Common Business-Oriented Actions

1. Customer Support Automation

→ Create support ticket → Assign correct team → Send confirmation email using the right tone and urgency

2. Sales Assistance

→ Lookup client info → Draft proposal → Schedule meeting → Notify account executive

3. Task Management

→ Generate task from a meeting summary → Assign to team → Set deadline → Link related documents

4. CRM Updates

→ Pull client record → Update deal status → Add meeting note → Trigger follow-up sequence

5. Approval Workflows

→ Analyze request → Check limits or thresholds → Route to manager → Log approval → Notify requester

With integrated tools and function calling, they can now drive real business operations—performing complex, multi-step tasks across your systems with contextual awareness and intelligent decision-making.

• Automated Support Agents with Action Hooks

Customer-facing AIs can handle entire requests—like updating addresses, issuing invoices, or resetting passwords—without agent intervention.

• Sales & CRM Automation

Your AI assistant can log meetings, pull client histories, update deal stages, or suggest next steps—turning conversations into conversions.

• HR & Internal Admin Bots

Let employees interact with internal systems via natural language: booking time off, checking payroll, or accessing training materials instantly.

• Workflow Orchestration

Trigger internal workflows based on requests: kick off onboarding sequences, publish content, or start approval chains with a single command.

• Data-Driven Decision Support

Combine retrieval and actions to give leadership real-time dashboards, performance summaries, and even initiate follow-ups based on insight.