The AI Copilot for Diwali: How to Handle More Support Without Hiring in 2026

Diwali brings a support crunch for most SaaS and B2B teams: clients push for year-end rollouts before the festive break, and Wati's AI Copilot is how a growing number of teams handle the resulting spike in WhatsApp messages without hiring temporary staff.

Wati AI Copilot is a WhatsApp Business API feature that drafts replies, summarizes conversations, and scores customer interactions inside your existing Team Inbox, while a human agent still reviews and sends every message. 

This guide breaks down how Wati’s AI Copilot can support your team during the Diwali rush, from smart replies and AI CX Score to Topic and Operator Insights. 

You will also get a week-by-week rollout plan, real credit and pricing details, and the limitations to consider before you switch it on.

What is an AI Copilot, and How is It Different From an AI Agent?

An AI copilot works alongside your support team. It drafts replies, summarizes conversations, translates messages, and scores customer interactions, but a human still reviews and sends the message. Meanwhile, an AI agent interacts with customers directly and can resolve certain queries without human intervention.

Wati offers both. Astra is Wati's AI agent that handles conversations end-to-end for repetitive queries. Wati AI Copilot, the focus of this piece, works inside the Team Inbox to help human agents respond faster and manage more conversations.

For a Diwali support spike, most SaaS and B2B teams want both working together. Astra AI Agent clears the repetitive order status and pricing questions before a human ever sees them. Copilot then speeds up everything that lands in front of an agent, such as renewal negotiations, integration troubleshooting, and partner escalations that need a human voice. 

If you want to see how AI agents and human teams can work together, our guide on scaling support using Wati’s WhatsApp-First Solution with a Smart AI Agent for deeper insights.

Rolling Out an AI Copilot for Diwali: A Step-by-Step Playbook

Turning on AI Copilot the week your Diwali campaign launches is too late. The setup itself is quick, but your team needs time to test the features, establish a CX baseline, and make sure your knowledge base is ready.

Use the timeline below to roll out AI Copilot before support volume peaks. It follows the same automation principles covered in our guide to handling FAQs and support tickets on WhatsApp.

Three weeks before the spike:

1. Audit your knowledge base.

AI Editor and smart reply drafts pull from this content, so gaps here show up as weak drafts later. Add any new Diwali-specific policies, offer details, or renewal terms now.

2. Check your AI Copilot credits.

Check your current plan's credit balance against expected Diwali volume. A Pro plan team handling around 300 conversations a month rarely exhausts its 500 monthly credits, but a much larger campaign might need a top-up.

3. Submit new WhatsApp templates for approval.

If your Diwali campaign needs new WhatsApp message templates, submit them for Meta approval now. Template review can take longer during high-traffic festive periods, and a rejected or delayed template right before launch can stall the whole campaign.

Two weeks before the spike: 

4. Establish your AI CX Score baseline.

Turn on AI CX Score and let it run for at least a week before the campaign. This gives you a baseline to compare with your CX performance during the Diwali rush.

5. Configure live translation. Turn on live translation for any new language markets your Diwali campaign targets. 

6. Plan after-hours coverage. Set up shift rotation across your existing team inbox for after-hours coverage during the campaign window.

One week before the spike:

7. Enable AI Editor and smart replies for your team.

Give agents a short walkthrough of how to review, edit, accept, or discard AI-generated drafts. The goal is to make Copilot part of their normal workflow before the support queue gets busy.

8. Set up a Topic Insights review.

Set a recurring weekly slot to review Topic Insights once conversations start flowing, so a spike in one subject, like shipping delays or login issues, gets caught early.

During the spike: 

9. Monitor AI performance daily. Track metrics such as resolution rate, escalations, time saved, and after-hours coverage. If coverage drops, adjust team schedules rather than assuming you need more automation.

10. Review Operator Insights regularly. Use Operator Insights to identify patterns in agent performance and see where additional coaching or support may be needed. Catching these issues early is easier than trying to fix them after the festive rush.

Pre-launch checklist

Run through this checklist at least a week before your campaign goes live:

• Knowledge base updated with Diwali-specific policies
• New WhatsApp templates submitted for Meta approval
• AI Copilot credit balance checked against expected volume
• AI CX Score baseline established
• Live translation configured for target markets
• After-hours shift rotation scheduled
• Team walkthrough completed for AI Editor and smart replies
• Topic Insights review scheduled

How Wati AI Copilot Handles the Diwali Support Rush 

AI Copilot runs as a team of connected features inside your Team Inbox on the WhatsApp Business API. They help agents respond faster, handle conversations across languages, and understand customer experience without adding more people to the support queue.

Smart Reply Suggestions 

The copilot drafts a response inside the conversation based on your knowledge base and the conversation's context. Your agent can review the suggestion, make changes if needed, and send it instead of writing the response from scratch.

For a busy Diwali support queue, that can turn repetitive questions into quick reviews rather than full replies. AI-assisted drafting is also becoming more common across customer service teams. Zendesk's CX Trends Report 2026 found that 75% of customers say they support service agents using AI to draft responses, and 88% expect faster responses than they did a year ago.

AI Editor 

AI Editor improves a reply your agent has already written. It improves clarity, fixes grammar and spelling, and can match a specific tone based on a sample you provide. 

It also adjusts for regional English differences, so a reply for a UK customer reads differently than one for a customer in India, without your agent doing that work manually. Each AI Editor action costs 1 credit, so using both Match Tone and Improve Writing on the same message costs 2 credits.

Chat Summaries 

The copilot automatically summarizes a thread once it reaches 10 messages and the conversation is marked closed or expired. Any available agent can pick up a conversation midway without reading the full history.

That matters during a Diwali spike when conversations may change hands more often as teams manage a higher volume.

Live Translation 

The copilot translates conversations in real time. For SaaS and B2B teams expanding a Diwali campaign into new markets, this can help extend support coverage without adding language-specific hires.

AI CX Score 

AI CX Score rates every eligible closed conversation on a 1 to 5 scale based on customer sentiment, issue resolution, and service quality, with no customer survey required.

Here is how the scoring works:

• A conversation is scored once it is closed, the customer has replied at least once, and your team has responded at least twice.
• Your CX Score is calculated as the number of 4 and 5 ratings divided by the total number of ratings, multiplied by 100. So, a 75% score means 75% of rated conversations received a positive experience score.
• Automatic scoring finishes within about 3 hours of a conversation closing. Manually scoring a single conversation is near-instant.
• AI CX Score currently covers WhatsApp, web chat, Instagram, and Facebook conversations. Voice calls are not scored yet.

Topic Insights and Operator Insights (Pro and Business plans) 

Available on Pro and Business plans, Topic Insights and Operator Insights help you go beyond the overall CX score to understand what is happening inside your support operation.

Topic Insights reads your closed conversations and groups them by subject automatically, labeling them with terms like "Shipping Delay" or "Login Issues" without any manual tagging. Each topic shows a conversation count and an average CX score, so you can see which subjects generate the most contact and whether those conversations are going well.

Operator Insights gives each agent a weekly, AI-generated performance review. It includes an aggregate score, a count of positive and negative experiences, and a short written summary of what they did well and where they can improve, updated every Monday for the previous full week.

How to Read Your AI Performance Dashboard?

Beyond CX Score, AI Copilot also tracks four operational metrics that tell you whether the rollout itself is working, separate from any individual conversation's quality.

Check this dashboard daily during the campaign window rather than waiting for a weekly review. Small dips are easier to fix on day one than day ten.

What Mistakes Should Teams Avoid When Scaling AI Support for a Festive Spike?

Most problems during a Diwali rollout come from rushing the setup or expecting AI Copilot to do more than it's built for. 

Here are the mistakes worth watching for before volume peaks.

• Skipping the knowledge base cleanup: Review your knowledge base before peak traffic and add missing product information, policies, and Diwali-specific details. Better source content leads to better AI-assisted replies.
• Testing edge cases only once: Test AI-handled edge cases every week, not just at setup.
• Rolling out everything at once: Start with the features that solve your biggest support bottlenecks, such as smart replies and chat summaries. Once the team is comfortable with those, expand to features such as AI Editor, translation, and CX analytics.
• Ignoring after-hours gaps: If support volume continues outside your team's working hours, AI Copilot alone will not solve the coverage problem. Use your performance data to identify gaps and adjust shift coverage or automation accordingly.
• Treating AI Copilot as a full replacement for your team: Copilot is designed to help agents handle more conversations in less time, not eliminate human support. Keep people available for complex issues, escalations, and conversations that need judgment.

The Bottom Line

Diwali doesn't have to mean choosing between a support backlog and a stack of temporary hires. Smart reply suggestions, AI Editor, chat summaries, live translation, and AI CX Score all sit inside the WhatsApp inbox your team already uses, and every plan already includes the credits to run them. 

Start the rollout early, keep a human reviewing every draft, and use Topic and Operator Insights to catch problems while they're still small.

Ready to see it running in your own inbox before the festive rush hits?

Book a demo with the Wati team and turn on AI Copilot today.