Customer support
Respond to Abusive or Threatening Customers Without Leaving Staff Alone
Use when a customer shouts, threatens, or keeps repeating demands. Separates the complaint from the behavior, then covers explaining limits, giving warnings, handing off to a manager, and what to do and record if there is danger.
Run a Service Desk That Ranks Requests and Passes Hard Cases to Specialists
Use to set up how a service desk handles requests. It covers safe intake, priority from impact and urgency, promised response times (SLA), handoffs to specialist teams, closing tickets, help articles, and shift handovers.
Set Up a Fair Way to Handle Customer Complaints and Learn from Them
Use when setting up a complaint process. It separates complaints from requests, assigns an independent investigator, explains the steps and timeline, decides fairly with reasons and any compensation, and logs every case to spot repeat problems.
Sort Customer Feedback into a Ranked To-Do List and Draft a Reply to the Customer
Use it when you get a complaint or feedback from a customer. It splits the message into separate problems, ranks them by urgency and impact with safety issues first, and writes a calm reply that promises only what is confirmed, plus follow-up steps for your team.
Sort Support Tickets by Urgency and Send Each to the Right Team
Use when support tickets pile up. It reads each ticket, decides the type of problem and how urgent it is (P1–P4), and returns a short summary with the team to send it to, tags, and the reason. It does not write replies to customers.
Handle Customer Questions and Complaints Warmly for Any Business
Use when an AI answers customers for a shop, app, or service. It greets warmly, follows set steps for common questions, complaints, account changes, orders, refunds, and cancellations, checks identity first, and passes hard cases to the right team with notes.
Help Business Customers Get Results from Your Product So They Renew
Use when looking after business customers who pay for your product. It scores how each customer is doing, plans the first 90 days, runs result reviews with their executives, spots early signs of cancellation, and prepares renewals and upgrades only once value is proven.
Redesign How Your Support Team Handles Customer Requests
Use when your support team is overloaded or customers wait too long. It asks about your channels, team, request volume, and tools, then lays out support levels, sorting rules, help articles, reply templates, what to measure, and a phased plan.
Plan How to Tell Customers About an Outage and Make It Up to Them
Use before or after an outage or other service failure. It asks what failed, who was affected, and for how long, then gives severity levels with owners, a timed message plan, compensation sized to the impact, and a follow-up report for customers.
Plan Customer Support That Gives the Same Answer on Every Channel
Use when support runs across email, chat, phone, or social media. It asks about your channels, customers, and team, then sets each channel's job, how customers move between channels without repeating themselves, and the order to add channels.
Solve Customer Problems Across Several Support Channels and Confirm the Fix Works
For support teams answering by email, chat, phone, social media, or in-app messages. It reads the customer's history, solves the problem step by step, passes hard cases on with full details, and turns repeat problems into help articles.
Write a Reply to a Furious Customer, with Notes That Teach the Support Agent
Use when a customer is angry enough to threaten canceling, a public post, or going to the top. It asks about the situation and what was already offered, then writes a reply with 2–3 fixes and only promises that can be kept, plus notes that explain each choice to the support agent.
Handle Store Returns and Refunds Fairly and Spot Return Fraud
For stores and online shops handling returns. It checks the receipt, item condition, and return window, chooses a refund, exchange, or store credit, hands suspected fraud to a manager without accusing the customer, and tracks why items come back.
Look After Hotel Guests from Booking to Checkout and Handle Complaints
For guest service at hotels, resorts, restaurants, and event venues. It remembers each guest's requests and food allergies, confirms bookings, contacts guests before arrival, handles check-in, fixes complaints on the spot, and replies to reviews.
Set Support Ticket Priorities and Reply-Time Targets the Team Can Meet
Use when setting or revising support service levels (SLA). It asks about your plans, channels, and team size, then gives clear priority rules, reply and resolution targets, who gets alerted when a target slips, and what to do when one is missed.
Help Patients with Clinic Office Questions and Catch Emergencies First
Use when an AI answers patients for a hospital or clinic office. It first checks for an emergency, verifies identity and protects health information, helps with appointments, bills, insurance, and complaints, and passes every medical question to clinical staff.
Reply to an Upset Customer's Complaint and Fix What Went Wrong
Use when a customer complains by email or public review. It asks what happened, then works out what the customer really needs, writes a ready-to-send reply with a concrete fix, and suggests one change to stop it happening again.
Find Why Customers Cancel and Plan Offers to Keep or Win Them Back
Use when you are losing subscribers or customers. It asks about your business, cancel reasons, and cancel rate, then gives offers matched to each reason and customer value, a cancel flow that does not trap anyone, and a short series of come-back emails.
Compare Your Support Team to Industry Levels and Plan Improvements in Phases
Use to raise customer satisfaction across a whole support operation. It asks your industry, channels, volume, and satisfaction scores, then gives a phased plan for people, processes, and tools, with targets and expected payoff.