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CRM Checklist for AI-Built Apps

Track leads, deals, and customer relationships

When you vibe code crm with tools like Cursor, Lovable, Bolt, v0, or Claude Code, the generated code often works in development but misses critical production requirements. This checklist helps you catch what AI missed before you ship.

Danger Zone

moderate risk

A messy CRM doesn't crash — it just quietly makes your sales team slower until nobody uses it

A CRM looks like a fancy contact list with some extra fields. But it's actually the system that decides how your entire sales process works: who follows up with who, what information matters at what stage, how deals move through your pipeline, and what gets reported to leadership. Build it wrong and it becomes a data graveyard where leads go to die — build it right and it runs your whole revenue operation.

Failure scenario

You build a custom CRM because "we're just tracking contacts and deals, how hard can it be?" Six months later you have 1,000 contacts, half with duplicate entries, a third with missing information, and nobody can answer "how many deals are closing this month?" because everyone tracks things differently. Your sales team goes back to their personal spreadsheets because your system is too slow and too confusing.

Common mistakes

  • No deduplication — same customer exists 5 times with slightly different emails
  • Activity history scattered across different tables making it impossible to see conversation threads
  • Search that's too slow or too limited — finding a contact takes 30 seconds
  • No clear ownership rules — multiple people follow up with the same lead
  • Deal values and stages that don't match what actually closed, making forecasting worthless

Time to break: 3-6 months before data quality degrades to uselessness

How are you building this?

Showing what to check when using a managed service

Audit Prompts

Copy these into your AI coding assistant to check your implementation.

Is your CRM actually being used?
reliability
Check how our team is using the CRM. Are all sales activities (calls, emails, meetings) getting logged consistently? Are contact records complete or full of empty fields? When someone leaves the company, does their data stay accessible? Is there a clear process for when a lead becomes an opportunity becomes a customer? Can everyone find what they need in under 10 seconds?

A CRM that people don't use is worse than no CRM at all — it creates the illusion of organization while actual information lives in people's heads and private notes.

Can you trust your pipeline numbers?
data
Look at how deals move through stages in our CRM. Do stage definitions match how we actually sell? Are deal values accurate or just guesses? Can you see when a deal last had activity? If you sum up all "likely to close this month" deals, does that number match what actually closes? Are there deals stuck in stages for months?

Sales forecasting only works if the data is honest. If your CRM shows $100K closing this month but reality is $20K, you can't plan anything.

Is customer data syncing correctly?
reliability
Check how our CRM connects to other tools. If someone pays through Stripe, does that update in the CRM? If support handles a ticket in Zendesk, does the sales team see it? Are email opens and clicks tracking correctly? When data flows between systems, is it creating duplicates or losing information?

A CRM that doesn't talk to your other tools becomes a second source of truth — which means nobody trusts it.

Can your CRM handle your growth?
performance
Look at performance as data grows. How quickly can you search across all contacts? How long does it take to load a contact with a long activity history? Are there limits on custom fields, automation rules, or the number of records? What happens if you import 10,000 contacts at once?

A CRM that slows down as you grow means your sales process gets slower just when you need it to speed up.

Checklist

0/10 completed

Smart Move

It depends

Here's the truth: a spreadsheet actually works fine until you have a real sales team. Once you need deal stages, activity tracking, and more than 3 people managing relationships, a proper CRM pays for itself immediately. The free tiers are generous enough that building your own only makes sense if you have genuinely weird requirements.

HubSpot

Generous free tier with contact management, deal tracking, and email integration — scales to full enterprise

Unlimited contacts and users free (paid features start at $45/month)

Attio

Modern, flexible CRM designed for startups — clean interface, good automation

Free up to 3 users, then $29/user/month

Pipedrive

Sales-focused with visual pipeline management — straightforward and not overwhelming

14-day trial, then $14/user/month

Folk

Lightweight and relationship-focused — good if you're not doing complex enterprise sales

Free for 1 user, then $20/user/month

Tradeoffs

Using a service means learning their way of doing things and paying per user as you grow. Building your own means you can customize everything but you're also responsible for every edge case and performance issue. Most teams underestimate how complex a good CRM actually is.

Did you know?

Sales teams spend an average of 17% of their time on data entry and CRM updates — that's nearly a full day per week not spent actually selling.

Source: Salesforce State of Sales Report 2024

Related Checks

✉️Email

Send transactional and marketing emails

📊Analytics

Track what users do

🔐Authentication

Sign up, log in, password reset, 2FA