Case Study

AI CRM with Automation & Campaigns in One App

Small sales and support teams were paying for a CRM, a website chatbot, a WhatsApp bot, a campaign tool and a security scanner, and none of them shared data. DXDasia built one AI CRM that does all five jobs from a single login.

Key result

Five Tools Replaced by One AI CRM

AI CRM DevelopmentWhatsApp AutomationWebsite ChatbotCampaign Automation
Laptop showing sales dashboard charts

The challenge

Leads and conversations were scattered across separate subscriptions.

  • Website chats, WhatsApp messages and form leads landing in different places
  • Follow-ups depending on someone remembering to send them
  • Campaigns sent from a tool that couldn't see which contacts were already customers
  • Five monthly subscriptions for one small team

Our approach

We built a single app where every lead, conversation and campaign lives together.

  • A CRM pipeline that every channel writes into: website chat, WhatsApp and forms
  • An AI website chatbot and an AI WhatsApp chatbot that answer, qualify and capture contact details
  • Automated follow-ups and reminders triggered by pipeline stage
  • WhatsApp broadcast campaigns sent to segments straight from CRM data
  • A built-in website security scanner, so one dashboard covers sales and site health

The outcome

The team now works from one system instead of five:

  • Every lead, from any channel, lands in one pipeline with its full history
  • AI chatbots handle first replies around the clock and hand over warm leads
  • Campaigns go to the right segment because they run on live CRM data
  • One login and one bill instead of five separate subscriptions
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Why it worked

Most small teams don't need more software; they need their software to share data. Putting the CRM at the centre, and making chatbots and campaigns read and write to it, meant every automation knew who the customer was and what had already happened.

The technical approach

The app is built as five modules inside one codebase with a shared contact and pipeline model, so a chatbot conversation, a campaign reply and a manual note all attach to the same record. It is white-label ready, so the same build can be branded and deployed for different businesses without code changes.

Why are small sales teams moving to AI CRMs?

Because most of a salesperson's week goes on work that isn't selling. In Salesforce's seventh State of Sales report (2026), reps said they spend 60% of their time on non-selling tasks such as manual data entry, lead research and switching between tools. The same report found sales teams juggle an average of eight tools, and 51% of sales leaders say those tech silos hold back their AI efforts.

AI is already paying off for teams that connect it to their data. Salesforce's 2024 survey of 5,500 sales professionals found 83% of sales teams using AI saw revenue growth, against 66% of teams without it. Salesforce's latest State of Sales page adds that nine in 10 sales teams use AI agents or expect to within two years.

FindingSource
60% of rep time spent on non-selling tasksSalesforce State of Sales, 7th edition (2026)
Average of 8 sales tools per team; 51% of leaders say silos hinder AISalesforce State of Sales, 7th edition (2026)
83% of teams with AI grew revenue vs 66% withoutSalesforce State of Sales, 6th edition (2024)

What rules apply to automated follow-ups in Singapore?

If you send marketing messages to Singapore phone numbers, the PDPA's Do Not Call rules apply. The PDPC's advisory guidelines say you must check the number against the Do Not Call Register within 21 days before sending, unless you hold the person's clear and unambiguous consent. An AI CRM should store consent and register checks with each contact so campaigns stay compliant.

How can you apply this in your own business?

  1. List every place a lead can arrive Website forms, chat, WhatsApp, calls, ads. Each one needs a path into the same pipeline.
  2. Define your pipeline stages first Automation is only as good as the stages it reacts to. Keep them few and clear.
  3. Automate the follow-up, not the relationship Use AI for first replies and reminders, and hand over to a person once intent is clear.
  4. Run campaigns from CRM data Segment on real behaviour, such as enquired but not booked, instead of one big list.
  5. Review what the bots say every week Read a sample of conversations and refine the answers they get wrong.

Frequently asked questions

Is an AI CRM only for big companies?

No. Small teams benefit most, because one connected system replaces several subscriptions and the manual work of copying data between them.

Can it work with WhatsApp?

Yes. WhatsApp conversations and campaigns run inside the CRM using the official WhatsApp Business Platform, with opt-in and template rules respected.

Can you build one for my business?

Yes. We start from the modules we have already built and tailor the pipeline, chatbot answers and automations to how your team sells.

Sources

  1. Salesforce: 7th Edition State of Sales Report, takeaways for startups and SMBs (2026)
  2. Salesforce: Sales Teams Using AI 1.3x More Likely to See Revenue Increase (2024)
  3. Salesforce: State of Sales Report
  4. PDPC Singapore: Advisory Guidelines on the Do Not Call Provisions (revised 2021)

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