CUSTOMER SUPPORT
Operations & Analytics
Automated article drafting, clustering, and gap detection.
Available AI Agents
Explore agents built for operations & analytics. Deploy instantly or customise for your workflow.
AgentOps Monitor
AppFolio enhanced its LLM application performance by integrating Datadog LLM Observability, leading to improved model quality and faster feature expansion
Provides comprehensive observability for LLM agents, enabling proactive issue detection and performance optimization.
- Real-time tracking of LLM agent interactions
- Monitoring of tool usage and dependencies
- Error detection and logging
HelpDesk Insight AI
A published AI helpdesk system processed over 40,000 emails/month and saved ~23,000 staff-hours per year (accuracy ≈ 90%) across three major service providers
Generates monthly SLA reports from GLPI tickets, analyzes compliance, and emails HTML summaries to management automatically
- Automatically retrieves last month’s tickets from GLPI
- Calculates working-hour performance and SLA compliance
- Summarizes metrics globally and by technician
MarketPulse AI — Automated
Bloomberg introduced AI-powered earnings call summaries that reduced report preparation time from 1 hour to under 2 minutes, accelerating insight delivery by 30×.
MarketPulse AI monitors S&P 500 stocks in real time, analyzes RSI & MACD indicators, and delivers clear buy/hold/sell insights directly to Slack every market hour.
- Automates hourly stock monitoring during market hours
- Generates buy/hold/sell insights from RSI & MACD indicators
- Converts technical analysis into plain English for non-experts
SpecForge PRD & Test Studio
T-Mobile cut test-data request time 50% and reduced a validation cycle 14→3 days using Tricentis Tosca.
Turn structured inputs into a professional PRD plus Gherkin test scenarios, merged and exported as a branded PDF. Built for PMs and QA teams to standardize docs and cut busywork.
- Generates a structured PRD from your brief
- Derives aligned Gherkin test scenarios from the PRD
- Merges PRD + tests into one reviewable document
Telegram AI Image Analysis
Middle School study applied AI image recognition, achieving 80% accuracy versus 77% for traditional SVM model in teacher-literacy classification.
Lets users send images to telegram and receive AI‑based analysis and feedback automatically.
- Enables users to send images via telegram and receive instant AI‑driven analysis and categorisation
- Automatically generates structured feedback or next‑step guidance based on image content, reducing manual review time
- Logs image metadata (sender, timestamp, category) into a central tracking system to support auditability and reporting
Auto Categorise Outlook Emails AI
San Diego Community College District reduced communication overhead by 40% after handling 70% of routine student inquiries via AI-powered classification/routing.
Automatically categorises outlook emails using AI models. moves messages to folders and assigns categories based on content, reducing manual sorting.
- Automatically detects new outlook emails and applies defined sanitisation rules, reducing manual redaction
- Ai‑driven classification of email content into categories (invoice, seo request, client contact, etc.) and automatic folder routing
- Logs full metadata (sender, subject, category, timestamp) into Airtable (or equivalent), creating an audit‑ready record of all processed emails
Microsoft Outlook AI Email Assistant
Oak National Academy saved ~25 minutes per lesson by using an AI planning assistant (lessons planning from ~30 min to ~5-10 min).
An AI‑powered assistant for outlook that processes emails, sanitises content, assigns categories using Airtable rules, and triggers contact workflows via monday.com.
- Automatically sanitises incoming email content, reducing manual redaction and privacy risk
- Categorises emails (invoice, lead, seo task, client query) and routes them appropriately
- Logs email metadata (sender, subject, date, category) into Airtable for audit‑ready tracking
Telegram Bot with Memory
University research project “MemoryBank” demonstrated long-term memory enabled LLMs recalled user-context across dialogues, improving conversational coherence (research simulation).
Adds long‑term memory via supabase to a telegram bot, paired with OpenAI for rich, context‑aware conversations.
- Stores user conversation history in supabase so the bot remembers past interactions and builds continuity
- Uses OpenAI api to generate context‑aware responses leveraging stored memory, reducing repetitive queries
- Routes users intelligently based on their past interactions and current intent, improving workflow efficiency
Upload to Instagram and TikTok from Google Drive
Berkeley County Schools saved 18,000 hours/year and $464,000 in software costs after deploying Canva’s content tools and scheduling — an example of centralized content workflows improving capacity.
Automates uploading media from google drive directly to instagram and tiktok: watch drive folders, apply presets (caption templates, hashtags, aspect-crop), schedule posts.
- Watch drive folders and auto-detect new media for publishing
- Apply platform presets (instagram/tiktok crop, length trim, watermark) to ensure publish-ready files
- Populate caption templates & hashtag bundles, with variables (date, campaign, handle)
Invoice Data Extraction Agent
Dean Close School achieved 30 hrs to <2 hrs monthly invoice data-entry and 85% productivity boost after implementing AP automation (example of similar technology, not this exact agent)
This workflow extracts structured data from invoices using llamaparse and OpenAI, then produces detailed invoice data extraction ready for downstream automation.
- Automatically imports invoice files (pdf/docx) and detects format via llamaparse
- Uses OpenAI gpt‑4 to interpret context and extract vendor, date, amount, line items
- Generates structured data output (json/csv) for downstream workflows
Analyze Feedback using AWS Comprehend
Similar AI tools helped the University of Thessaly process 700+ student comments in one study, enabling detection of teaching-competency issues across courses.
Performs sentiment analysis on feedback using aws comprehend and sends results to mattermost.
- Automatically ingest student open‑ended comments from surveys or forms
- Run sentiment classification and key‑phrase/theme extraction using aws comprehend
- Automatically classify and tag comments by course, instructor or module for drill‑down
More in Customer Support
Help Desk Copilot
Agent sidekick for instant replies, summaries, and escalations.
Quality Assurance
Monitor sentiment and compliance across every support interaction.
Student Support & Retention
Conversational bots that resolve FAQs and triage edge cases.
Voice Virtual Agents
Phone-first agents that handle inbound calls end-to-end.