How We Built a Custom Sales CRM in 90 Days: Real Costs & Timeline | WeGotCode

(And What It Reveals About the Economics of Custom Software)

When Exovations approached us, they had a problem many growing businesses recognize: their sales process did not fit neatly inside an off-the-shelf CRM.

Generic platforms could manage contacts and opportunities, but they also pushed the team toward workflows that did not match how Exovations actually sold. Customizing Salesforce appeared likely to require a significant upfront investment, plus ongoing licensing and administrative costs, while still leaving limitations around workflow fit.

They needed software built around the way their sales team worked, not the way a generic platform expected them to work.

Here is how WeGotCode delivered a custom sales flow CRM in 90 days, what the cost compariso

 

n looked like, and how AI-assisted development helped make the timeline realistic without removing the need for experienced engineering judgment.

The Challenge: A Sales Workflow That Did Not Fit a Standard CRM

Exovations’ sales process includes specialized stages that do not map cleanly to standard CRM pipelines. Their team needed to track custom data points at each stage, connect with tools already used across the business, and report on metrics that reflected their actual sales process rather than generic sales KPIs.

Off-the-shelf CRM platforms created two imperfect options: change proven workflows to fit the software, or pay for extensive customization that still might not feel natural to the team.

The business case for custom development became clearer when we compared three-year costs. Based on the licensing, customization, and support needs involved, a Salesforce Enterprise path could have exceeded $300,000 over three years. A purpose-built solution designed around Exovations’ workflow came in at less than half that projected amount.

Weeks 1-2: Discovery and Workflow Mapping

We started by understanding how Exovations actually operates. Our team reviewed the sales process, interviewed key team members, and documented each step from initial contact through closed deal.

That discovery phase revealed workflow nuances that would have been difficult to support cleanly in a generic CRM without extensive customization. We mapped 9 distinct lead and sales workflow stages, identified more than 30 contact data fields used as merge variables across the workflow, and documented integration requirements with the tools the team already used: Calendly for scheduling, Mandrill for transactional email, Podium for SMS messaging, and Microsoft Entra, formerly Azure AD, for user provisioning.

AI-assisted development tools helped us rapidly prototype interfaces based on those workflows. Within two weeks, Exovations could interact with clickable mockups and see how the custom CRM would support their real sales process before the full build moved forward.

Weeks 3-6: Core Development

With the workflows validated, we built the foundation. AI-assisted development helped accelerate this phase, but the important decisions still came from understanding the business process, the data model, and the integrations required to make the system useful.

Database Architecture: AI tools helped accelerate portions of the data modeling process, while our development team made the final architecture decisions based on Exovations’ workflow, reporting, and scalability requirements.

User Interface Development: AI-assisted coding helped generate clean, responsive interfaces designed to work well across desktop and mobile devices.

Business Logic: We programmed sales flow rules, approval processes, and automated notifications to match Exovations’ requirements.

Integration Development: APIs connected the new CRM to existing business systems so data could move automatically and reduce unnecessary manual entry.

By week six, the core functionality was ready for review and testing. The sales team could create opportunities, move them through stages, and review early reports based on their established process.

Weeks 7-10: Refinement and Testing

Real-world testing revealed improvements that were hard to anticipate from requirements alone. The sales team identified shortcuts that would save time, suggested reporting and data visualization enhancements, and requested minor workflow adjustments.

AI-assisted testing tools helped identify potential bugs and areas for review faster than manual testing alone. We addressed issues while they were still easy to fix, rather than waiting until after launch when they could interrupt day-to-day sales operations.

That iterative refinement helped turn a functional system into software the team would actually want to use.

Weeks 11-12: Training and Launch

Because the CRM reflected how Exovations already worked, training was simpler than it would have been with a system that required the team to learn an unfamiliar workflow. The interface felt intuitive because it followed recognizable patterns rather than forcing new ones.

We deployed gradually, starting with a small team before expanding the rollout company-wide. This phased approach gave us a chance to catch remaining issues without disrupting the entire sales operation.

Within 12 weeks of starting discovery, Exovations had a fully operational custom CRM replacing their previous generic solution.

The Real Costs

The total project investment is kept confidential per client agreement, but the structure of the investment is useful for understanding how a custom CRM project is typically built.

Project investment included:

• Discovery and planning
• Core development
• Integration work
• Testing and refinement
• Training and deployment

Ongoing costs include:

• Hosting and infrastructure: a predictable monthly cost on Microsoft Azure
• Maintenance and updates: a predictable monthly cost covering security updates, bug fixes, and feature iterations
• Annual total: kept confidential per client agreement

Compared with the Salesforce path they were evaluating:

• Estimated annual licensing on Salesforce Enterprise at this team size
• Estimated customization and setup work
• Estimated year-one total in the low-to-mid six figures
• Estimated subsequent years in the high five-to-six figures annually before additional support, administration, or future customization needs

Based on those estimated Salesforce costs, the custom solution created meaningful first-year savings and could materially reduce annual CRM-related costs going forward.

The Technology Stack

We built the CRM using modern, proven Microsoft technologies and AI-assisted development tools:

Backend:  .NET 8 with ASP.NET Core for fast, scalable server-side processing

Frontend:  Blazor WebAssembly 8.0 with MudBlazor for responsive, intuitive user interfaces

Database:  SQL Server for reliable transactional data management

Hosting:  Microsoft Azure cloud infrastructure for security and uptime

AI Tools:  Claude Code with specialized agents and skills, including product-owner, backend-developer, UI-designer, QA-tester, code-reviewer, and docs-writer support for accelerated coding, review, testing, and documentation

This stack gives Exovations a system that can remain maintainable, secure, and scalable as the business grows.

Results That Matter

Three months after launch, the impact was measurable:

User Adoption: The sales team uses the system daily. Adoption is high because the interface mirrors how they already work.

Data Accuracy: Records are cleaner and more complete because fields match actual business needs.

Sales Cycle Visibility: Pipeline insights reflect actual deal status instead of generic CRM stages.

Time Savings: The team spends less time on manual data entry and data manipulation.

Reporting: Executives can access meaningful metrics without requesting custom reports each time they need visibility.

Most importantly, the sales team reports that the software supports the way they sell instead of creating another administrative burden.

Why This Approach Works

The Exovations project demonstrated three critical success factors.

Requirements Before Code: We invested two full weeks understanding the business before building the system. That helped prevent expensive mid-project changes and kept the final product focused on actual needs.

AI Acceleration, Human Expertise: AI tools handled repetitive coding, testing, and documentation tasks, but experienced developers designed the architecture, made technology decisions, and ensured quality.

Continuous Validation: Weekly check-ins with the Exovations team caught misalignments early. Their feedback shaped development in real time instead of waiting until after launch to discover issues.

This methodology works because it respects both the technology and the business. AI can make custom development faster and more affordable, but human understanding of sales processes ensures the software solves the right problems.

Is Custom Right for Your Business?

The Exovations project succeeded because the sales process was central to how the business operates. A generic CRM would have required too many compromises around workflows that were already working for the team.

Custom development tends to make sense when:

• Your sales methodology is proprietary or central to your competitive advantage
• Teams waste hours each week working around CRM limitations
• You are paying for extensive SaaS customizations that still do not quite fit
• Growth plans require software flexibility that vendors cannot guarantee
• Compliance, security, or data control needs exceed what a multi-tenant platform can easily support

When those issues are present, custom software can become more than a technology project. It can become a way to protect the processes that make the business work.

The team at WeGotCode specializes in translating unique business processes into custom software. We have built CRM systems for companies across industries, each with workflows as distinctive as Exovations’. Our AI-assisted development approach helps deliver the precision of custom-built software without the traditional six-month timelines or automatic six-figure assumptions.

Want to see what a custom CRM tailored to your sales process could look like? Schedule a workflow consultation. We’ll map your current process, identify where off-the-shelf tools are creating friction, and show where custom software may improve cost, adoption, visibility, and efficiency.

FAQs

1. Why did the Exovations project take 90 days instead of 6 months like traditional custom development?

AI-assisted development accelerated repetitive coding, testing, and documentation tasks, allowing our team to move faster while keeping experienced developers focused on architecture, workflow logic, and quality. Just as important, the project started with clear discovery and workflow mapping, which reduced rework later in the process.

2. Can you add features after the initial launch?

Yes. One advantage of custom software is flexibility after launch. We built Exovations’ CRM with a modular architecture, making it straightforward to add capabilities as the business evolves without disrupting existing functionality.

3. What happens if we need support after launch?

We provide ongoing maintenance covering security updates, bug fixes, and technical support. For Exovations, ongoing maintenance includes support, updates, and priority response times. This predictable cost structure contrasts with SaaS platforms, where support quality and flexibility often depend on the subscription tier.

4. How did you handle data migration from their old CRM?

We built automated migration tools to transfer existing customer records, deal history, and sales data into the new system. The process preserved historical information while cleaning duplicate and outdated records, giving Exovations a stronger data foundation going forward.

5. Could this approach work for companies larger or smaller than Exovations?

Yes. The methodology can scale in both directions. Smaller businesses benefit from right-sized solutions without paying for unnecessary enterprise features. Larger organizations get custom software that can handle complexity without the constraints of platforms designed to serve every industry at once.