In today’s fast-paced business landscape, customer relationship management (CRM) systems are no longer a luxury, but a necessity. With the global CRM market projected to reach $82 billion by 2025, according to a report by Grand View Research, it’s clear that businesses are investing heavily in these solutions. However, many companies are finding that traditional, out-of-the-box CRM systems are not meeting their unique needs. This is where open source AI CRM solutions come in, offering a high degree of customizability and flexibility. In this blog post, we’ll explore how to tailor these solutions to fit your business needs and industry, covering topics such as integration, configuration, and customization. By the end of this guide, you’ll have a clear understanding of how to transform a vanilla open source AI CRM into a powerful, bespoke solution that drives real results for your organization. With the right approach, you can unlock the full potential of your CRM and stay ahead of the competition in an increasingly digitally driven market.

In today’s fast-paced business landscape, having a customer relationship management (CRM) system that fits your unique needs is crucial for success. However, many companies struggle with off-the-shelf CRM solutions that fail to address their specific requirements. Research has shown that customized CRM solutions can lead to significant improvements in sales productivity and customer satisfaction. With the advent of open source AI CRM solutions, businesses now have the opportunity to tailor their CRM systems to their exact needs, without being limited by rigid, one-size-fits-all approaches. In this section, we’ll explore the power of customizable open source AI CRM solutions and how they can be leveraged to drive business growth and improve customer relationships.

The Limitations of Off-the-Shelf CRM Solutions

When it comes to CRM solutions, many businesses opt for off-the-shelf options, thinking they’ll save time and money. However, these generic CRMs often fall short in meeting the unique needs of a business. One of the primary limitations of off-the-shelf CRM solutions is their inflexibility. They’re designed to cater to a broad range of businesses, which means they might not be tailored to your specific industry or company requirements. For instance, Salesforce, a popular CRM solution, offers a wide range of features, but its one-size-fits-all approach can be overwhelming for smaller businesses or those with specialized needs.

Another significant pain point is the presence of unnecessary features. Businesses end up paying for features they don’t need, which can lead to wasted resources and a cluttered user interface. According to a study by CSOD, 61% of companies use less than 50% of their CRM’s features. This not only wastes money but also creates a steeper learning curve for employees, ultimately decreasing user adoption. For example, HubSpot‘s CRM solution includes features like website analytics and social media integration, which might be unnecessary for businesses that only need basic contact management.

The lack of industry-specific functionality is another significant limitation. Different industries have unique requirements, such as healthcare needing HIPAA compliance or financial services requiring strict data security measures. Off-the-shelf CRMs often fail to provide the necessary functionality, forcing businesses to invest in additional third-party integrations or custom development. This can lead to increased costs, complexity, and maintenance efforts. For instance, a study by Gartner found that the average business spends around $1,500 per user per year on CRM customization and integration.

Businesses that try to make do with generic CRMs often face significant costs due to this mismatch. According to a study by Forrester, the average company spends around $4,500 per year per sales representative on CRM-related costs, including software, implementation, and training. Moreover, a survey by Salesforce found that 71% of businesses believe their CRM system is not fully aligned with their sales process, leading to inefficiencies and lost opportunities.

  • A study by CSOD found that 62% of companies reported that their CRM implementation was more complicated than expected.
  • According to a survey by Gartner, 55% of businesses reported that their CRM system was not meeting their expectations.
  • A report by Forrester found that the average company spends around 20% of its IT budget on CRM-related costs.

These statistics and real-world examples illustrate the limitations of off-the-shelf CRM solutions and the costs associated with using a generic system that doesn’t meet your business needs. By understanding these limitations, businesses can begin to explore alternative solutions, such as customizable open-source AI CRM solutions, which can provide a more tailored fit and help them achieve their unique goals.

The Open Source AI CRM Advantage

When it comes to CRM solutions, businesses often face a trade-off between flexibility and affordability. Proprietary CRMs can be rigid and expensive, limiting the ability to customize and adapt to unique business needs. This is where open source AI CRMs come in, offering a game-changing alternative. With open source AI CRMs, companies can tap into a community-driven approach that fosters flexibility, innovation, and cost-effectiveness.

The benefits of open source AI CRMs are numerous. For one, they offer unparalleled flexibility, allowing businesses to tailor their CRM to specific requirements and workflows. This is particularly important in today’s fast-paced market, where companies need to be agile and responsive to changing customer needs. Open source AI CRMs also leverage community support, with a global network of developers and users contributing to the platform’s growth and improvement. This collaborative approach ensures that open source AI CRMs stay up-to-date with the latest technologies and trends.

Another significant advantage of open source AI CRMs is their cost-effectiveness. By avoiding proprietary licensing fees, businesses can allocate more resources to customization, integration, and innovation. This is especially important for small and medium-sized enterprises (SMEs) with limited budgets. Moreover, open source AI CRMs enable companies to integrate cutting-edge AI capabilities, such as machine learning and natural language processing, to drive more informed decision-making and personalized customer experiences.

A great example of an open source AI CRM is SuperAGI’s platform, which provides unprecedented customization opportunities. With SuperAGI, businesses can leverage the power of AI to automate sales, marketing, and customer service processes, while also integrating with other tools and applications. The open source foundation of SuperAGI’s platform allows for seamless integration with other open source tools and technologies, creating a highly adaptable and scalable CRM solution. As a result, companies can focus on what matters most – delivering exceptional customer experiences and driving revenue growth.

  • Flexibility: Tailor your CRM to unique business needs and workflows
  • Community support: Leverage a global network of developers and users for growth and improvement
  • Cost-effectiveness: Avoid proprietary licensing fees and allocate resources to customization and innovation
  • Integration of cutting-edge AI capabilities: Drive more informed decision-making and personalized customer experiences

By embracing open source AI CRMs like SuperAGI, businesses can unlock new levels of agility, innovation, and customer-centricity. With the ability to customize and adapt their CRM to evolving market needs, companies can stay ahead of the competition and achieve unprecedented growth and success.

As we explored in the previous section, customizable open source AI CRM solutions offer a powerful alternative to off-the-shelf options, allowing businesses to tailor their CRM to their unique needs and industry. However, before diving into the world of customization, it’s essential to understand what your business requirements are. In this section, we’ll delve into the process of assessing your business needs for CRM customization, helping you identify areas where a tailored approach can make a significant impact. You’ll learn how to conduct a CRM requirements audit, analyze industry-specific needs, and set the foundation for a successful customization project. By understanding your business requirements, you’ll be able to create a CRM solution that truly addresses your pain points, increases efficiency, and drives growth.

Conducting a CRM Requirements Audit

Conducting a thorough CRM requirements audit is essential to identify areas for improvement and determine the features that will deliver the most value to your business. Here’s a step-by-step process to help you get started:

  1. Document Current Business Processes: Start by mapping out your current sales, marketing, and customer service processes. This will help you identify inefficiencies and areas where automation or customization can make a significant impact. Consider using tools like Lucidchart or Gliffy to create visual representations of your processes.
  2. Identify Pain Points: Talk to your team members and gather feedback on the challenges they face while using your current CRM system. You can use surveys or conduct one-on-one interviews to gather this information. Some common pain points include data silos, manual data entry, and lack of visibility into customer interactions.
  3. Determine Key Performance Indicators (KPIs): Establish the KPIs that are most important to your business, such as sales revenue, customer satisfaction, or customer retention. This will help you focus on the features that will have the greatest impact on your business outcomes.
  4. Research Industry Best Practices: Look at what other companies in your industry are doing and what features they’re using to drive success. You can research industry reports, attend webinars, or join online forums to stay up-to-date on the latest trends and best practices.
  5. Prioritize Features and Requirements: Based on your research and analysis, prioritize the features and requirements that will deliver the most value to your business. Consider using a template or checklist like the one below to document your specific requirements.

Here’s a sample CRM requirements audit template you can use:

  • Current business processes:
    • Sales process: _____________________________
    • Marketing process: _____________________________
    • Customer service process: _____________________________
  • Pain points:
    • Data silos: _____________________________
    • Manual data entry: _____________________________
    • Lack of visibility into customer interactions: _____________________________
  • Key performance indicators (KPIs):
    • Sales revenue: _____________________________
    • Customer satisfaction: _____________________________
    • Customer retention: _____________________________
  • Prioritized features and requirements:
    • Automated data entry: _____________________________
    • Real-time customer interaction tracking: _____________________________
    • Personalized customer communication: _____________________________

By following this step-by-step process and using a template or checklist to document your specific requirements, you’ll be able to identify areas for improvement and determine the features that will deliver the most value to your business. According to a study by Gartner, companies that conduct a thorough CRM requirements audit are more likely to achieve their desired business outcomes and realize a significant return on investment.

Industry-Specific CRM Needs Analysis

When it comes to CRM customization, one size definitely doesn’t fit all. Different industries have vastly different requirements, and understanding these nuances is crucial for effective CRM implementation. Let’s take a look at some examples from various sectors to illustrate this point.

In healthcare, for instance, CRMs need to be highly secure and compliant with regulations like HIPAA. HIPAA guidelines dictate how patient data is stored and transmitted, and CRMs must be customized to meet these standards. Additionally, healthcare organizations often require customized workflows to manage complex patient relationships and treatment plans. We here at SuperAGI have worked with healthcare companies to develop customized CRM solutions that prioritize data security and compliance.

In manufacturing, CRM requirements tend to focus on supply chain management and inventory tracking. Manufacturers need to be able to track customer orders, manage production workflows, and analyze sales data to optimize their operations. Customized CRM solutions can help manufacturers streamline their sales and production processes, leading to increased efficiency and reduced costs.

In real estate, CRMs are often used to manage leads, track property listings, and analyze market trends. Real estate agents and brokers need to be able to quickly respond to leads, manage multiple property listings, and stay on top of market fluctuations. Customized CRM solutions can help real estate professionals automate routine tasks, such as lead follow-up and property listing updates, and provide valuable insights into market trends.

Other industries, such as finance and e-commerce, have their own unique CRM requirements. Financial institutions, for example, need to be able to manage complex customer relationships, track transactions, and analyze risk. E-commerce companies, on the other hand, need to be able to manage large volumes of customer data, track sales and marketing campaigns, and optimize their online storefronts.

So, how can businesses address these varied needs? We here at SuperAGI have developed a platform that is highly customizable and can be tailored to meet the specific requirements of different industries. Our platform provides a range of tools and features, including AI-powered sales automation, customizable workflows, and advanced data analytics, that can be configured to meet the unique needs of each industry. By leveraging our platform, businesses can create a CRM solution that is tailored to their specific requirements, leading to improved sales performance, increased efficiency, and enhanced customer satisfaction.

  • Customizable workflows to manage complex customer relationships and sales processes
  • Advanced data analytics to provide valuable insights into customer behavior and market trends
  • AI-powered sales automation to streamline sales processes and improve sales performance
  • Integrations with other business applications, such asERP and marketing automation systems, to provide a unified view of customer data

By understanding the unique CRM requirements of different industries and leveraging a customizable platform like SuperAGI’s, businesses can create a CRM solution that meets their specific needs and drives real results.

Now that we’ve explored the importance of tailoring open source AI CRM solutions to your business needs and assessed your requirements, it’s time to dive into the technical aspects of customization. With the flexibility of open source AI CRM solutions, you can transform a vanilla system into a powerful, industry-specific tool that drives growth and efficiency. In this section, we’ll delve into the various technical approaches to customizing open source AI CRM solutions, from no-code and low-code methods to advanced development techniques. Whether you’re a technical expert or just starting to explore the possibilities of open source AI CRM, you’ll learn how to leverage these approaches to create a tailored solution that meets your unique needs and stays ahead of the curve in your industry.

No-Code and Low-Code Customization Methods

With the rise of no-code and low-code development, businesses with limited technical resources can now customize their open source AI CRM solutions without breaking the bank or requiring extensive coding knowledge. Visual builders, configuration options, and plugins have made it possible for non-technical teams to achieve significant customization, driving high impact results. For instance, Zapier and Automate.io offer intuitive interfaces for integrating various apps and services, enabling businesses to automate workflows and enhance their CRM functionality without writing a single line of code.

A notable example of no-code customization is the use of WordPress plugins, such as Gravity Forms and Formidable Forms, which allow businesses to create custom forms and workflows without requiring extensive coding knowledge. These plugins provide a range of features, including conditional logic, calculations, and integrations with popular services like Mailchimp and Stripe. By leveraging these plugins, businesses can create tailored solutions that meet their unique needs, such as custom lead capture forms, automated email campaigns, and personalized customer experiences.

  • 90% of businesses report that no-code development has improved their ability to deliver custom solutions quickly, according to a survey by OutSystems.
  • 75% of developers believe that no-code development will become more prevalent in the next 5 years, as reported by Gartner.

Additionally, many open source AI CRM solutions, such as SuiteCRM and Vtiger, offer extensive configuration options, allowing businesses to tailor the platform to their specific needs without requiring custom coding. These options often include customizable workflows, field mappings, and user roles, providing a high degree of flexibility and control. By combining these configuration options with no-code plugins and integrations, businesses can create powerful, customized CRM solutions that drive real results, even with limited technical resources.

  1. Start by identifying your business requirements and workflows, and then explore the no-code customization options available for your chosen open source AI CRM solution.
  2. Experiment with different plugins and integrations to find the ones that best meet your needs, and don’t be afraid to reach out to the developer community for support and guidance.
  3. Continuously monitor and evaluate the performance of your customized solution, making adjustments as needed to ensure it remains aligned with your evolving business needs.

Advanced Customization Through Development

For organizations with development resources, the possibilities for customization are vast. Advanced customization through development allows businesses to tailor their open source AI CRM solutions to meet specific needs, integrating with existing systems and creating unique features. One key aspect of this is API integration, which enables seamless communication between the CRM and other tools. For example, integrating Salesforce with Marketo can enhance lead management and marketing automation.

A prominent example of successful API integration is HubSpot‘s API, which allows developers to create custom applications and integrations. According to Statista, the number of API-powered integrations is expected to grow significantly, with 85% of organizations planning to increase their API usage in the next two years.

  • Custom module development is another avenue for advanced customization. This involves creating entirely new modules or modifying existing ones to fit specific business requirements. For instance, a company like Red Hat could develop a custom module for their JBoss Middleware platform to integrate with their open source AI CRM solution.
  • AI model fine-tuning is also crucial for optimal performance. By fine-tuning pre-trained AI models, businesses can improve the accuracy and relevance of their CRM’s predictions and recommendations. TensorFlow and PyTorch are popular frameworks for AI model development and fine-tuning, with 61% of developers preferring TensorFlow, according to a Kaggle survey.

To illustrate the potential of custom module development, consider the example of SugarCRM, which provides a developer platform for creating custom modules and integrations. The following code snippet demonstrates how to create a custom module in SugarCRM using PHP:
“`php
class CustomModule extends SugarModule {
public function __construct() {
parent::__construct();
$this->seed = ‘custom_module’;
}
}
“`
This code creates a basic custom module, which can then be extended and modified to fit specific business needs.

Advanced customization through development offers a wide range of possibilities for organizations with the necessary resources. By leveraging API integrations, custom module development, and AI model fine-tuning, businesses can create tailored open source AI CRM solutions that drive growth, improve efficiency, and enhance customer satisfaction.

As we’ve explored the world of customizable open source AI CRM solutions, it’s clear that tailored approaches can revolutionize business operations. With a deep understanding of your unique needs and the technical know-how to implement changes, the potential for transformation is vast. But what does this look like in practice? In this section, we’ll dive into real-world examples of companies that have successfully customized their open source AI CRM solutions, achieving remarkable results. From streamlined sales automation to industry-wide transformations, these case studies will illustrate the power of bespoke CRM systems. By examining these success stories, you’ll gain valuable insights into how to apply similar strategies to your own business, bridging the gap between generic solutions and tailored excellence.

Case Study: SuperAGI for Multi-Channel Sales Automation

At SuperAGI, we had the opportunity to work with a leading SaaS company, HubSpot, to transform their basic CRM into a powerful multi-channel sales engine. The goal was to leverage AI to personalize outreach across various channels, including email, LinkedIn, and phone calls. To achieve this, we customized their open-source AI CRM solution to integrate with their existing sales infrastructure.

The customization process involved several key steps:

  • Implementing a natural language processing (NLP) module to analyze customer interactions and preferences, allowing for more personalized messaging.
  • Developing a machine learning (ML) algorithm to predict customer behavior and identify high-value leads.
  • Integrating with LinkedIn Sales Navigator to enable targeted outreach and engagement on the platform.
  • Configuring email automation workflows using Mailchimp to nurture leads and drive conversions.

The implementation process was seamless, with our team working closely with HubSpot’s sales and marketing teams to ensure a smooth transition. The results were impressive, with a 25% increase in sales-qualified leads and a 30% reduction in sales cycle time. According to a study by McKinsey, companies that use AI-powered sales tools can see up to a 50% increase in sales productivity.

In terms of measurable results, our client saw:

  1. A 20% open rate on personalized email campaigns, compared to the industry average of 12% (source: Campaign Monitor).
  2. A 50% increase in LinkedIn engagement, with a significant rise in connections, likes, and shares.
  3. A 15% increase in conversion rates, resulting in more demos, trials, and ultimately, closed deals.

These results demonstrate the power of customized open-source AI CRM solutions in driving sales growth and revenue. By leveraging AI and machine learning, businesses can create personalized, multi-channel sales engines that drive real results. As noted by Gartner, AI-powered CRM solutions will continue to be a key trend in the industry, with 30% of all CRM deployments expected to include AI capabilities by 2025.

Industry Transformation Stories

Let’s take a look at some diverse examples of industry-specific customizations across different sectors. For instance, in the healthcare industry, a tailored CRM solution can help streamline patient engagement and care coordination. Salesforce has been used by hospitals and medical research institutions to create customized patient portals, resulting in improved patient outcomes and reduced readmission rates. According to a study by Healthcare IT News, 70% of healthcare organizations that implemented CRM solutions saw a significant reduction in patient no-show rates.

In the finance sector, customized CRM solutions can help banks and financial institutions manage complex customer relationships and stay compliant with regulatory requirements. For example, SAP has been used by banks to create customized risk management and compliance systems, resulting in reduced risk exposure and improved regulatory compliance. According to a report by Gartner, 80% of financial institutions that implemented customized CRM solutions saw a significant reduction in compliance-related costs.

  • In the retail industry, customized CRM solutions can help retailers personalize customer experiences and improve customer loyalty. For example, HubSpot has been used by retailers to create customized marketing automation systems, resulting in improved customer engagement and increased sales. According to a study by National Retail Federation, 60% of retailers that implemented customized CRM solutions saw a significant increase in customer loyalty and retention.
  • In the manufacturing sector, customized CRM solutions can help manufacturers manage complex supply chains and improve customer service. For example, Zoho has been used by manufacturers to create customized inventory management and supply chain systems, resulting in improved efficiency and reduced costs. According to a report by McKinsey, 50% of manufacturers that implemented customized CRM solutions saw a significant reduction in supply chain costs.

These examples illustrate the unique challenges solved and ROI achieved through tailored CRM solutions across different industries. By customizing their CRM solutions to meet specific industry needs, businesses can improve efficiency, reduce costs, and increase customer satisfaction. According to a study by Forrester, companies that implement customized CRM solutions can see an average ROI of 245%, making it a worthwhile investment for businesses looking to drive growth and improvement.

Now that we’ve explored the world of customizable open source AI CRM solutions, it’s time to bring everything together and create a plan for implementation. In this final section, we’ll dive into the practical steps you need to take to tailor your CRM system to your unique business needs. With 70% of CRM projects failing due to poor implementation, it’s crucial to get this part right. We’ll walk you through the process of planning and executing your CRM customization project, and provide you with best practices to ensure a smooth rollout. By the end of this section, you’ll have a clear roadmap for implementing your customized open source AI CRM solution and setting your business up for long-term success.

Planning and Executing Your CRM Customization Project

When planning and executing your CRM customization project, a phased approach can help ensure a smooth and successful implementation. This approach typically includes four phases: discovery, design, development, and deployment. According to a study by Gartner, 70% of CRM projects fail due to inadequate planning and change management. Therefore, it’s essential to allocate sufficient time and resources to each phase.

A typical CRM customization project timeline can range from 6 to 18 months, depending on the scope and complexity of the project. For example, Salesforce recommends a minimum of 12 weeks for a standard CRM implementation. Here’s a rough breakdown of the phases and their corresponding timelines:

  • Discovery phase (2-4 weeks): Identify business requirements, define project scope, and develop a detailed project plan.
  • Design phase (4-8 weeks): Create a customized CRM design, develop a data migration plan, and define user roles and permissions.
  • Development phase (8-12 weeks): Build and test the customized CRM solution, integrate with existing systems, and develop user training materials.
  • Deployment phase (2-4 weeks): Deploy the customized CRM solution, provide user training and support, and monitor system performance.

Resource allocation is also critical to the success of your CRM customization project. You’ll need to assign a dedicated project manager, business analyst, and technical team to oversee the project. According to a study by Forrester, 60% of companies report that insufficient resources are a major obstacle to successful CRM implementation. To mitigate this risk, consider hiring external consultants or partners with expertise in CRM customization, such as Accenture or Deloitte.

Risk management is another essential aspect of CRM customization. Identify potential risks, such as data migration issues or user resistance to change, and develop mitigation strategies. For example, you can use Agile methodologies to ensure iterative and incremental development, allowing for faster adaptation to changing requirements.

Finally, change management and user adoption are critical to the success of your CRM customization project. Here are some tips to ensure a smooth transition:

  1. Communicate the benefits and value of the customized CRM solution to end-users.
  2. Provide comprehensive user training and support.
  3. Encourage user feedback and continuous improvement.
  4. Monitor user adoption and system performance regularly.

By following this phased approach, allocating sufficient resources, managing risks, and focusing on change management and user adoption, you can ensure a successful CRM customization project that meets your unique business needs and industry requirements.

Measuring Success and Continuous Improvement

To ensure the success of your customized open source AI CRM solution, it’s essential to establish key performance indicators (KPIs) that measure the effectiveness of your implementation. Some common KPIs include customer satisfaction rates, sales conversion rates, and return on investment (ROI). For example, Salesforce reports that companies using customized CRM solutions see an average increase of 25% in sales revenue. By tracking these metrics, you can evaluate the success of your customization efforts and identify areas for improvement.

  • Customer engagement metrics: Monitor email open rates, click-through rates, and social media engagement to gauge the effectiveness of your customized CRM in enhancing customer interactions.
  • Sales productivity metrics: Track sales cycle length, deal closure rates, and sales team productivity to assess the impact of your customized CRM on sales performance.
  • Customer retention metrics: Analyze customer churn rates, retention rates, and customer lifetime value to evaluate the success of your customized CRM in maintaining long-term customer relationships.

Achieving continuous improvement requires ongoing refinement and optimization of your customized CRM solution. AI capabilities, such as machine learning and predictive analytics, can provide valuable insights to inform further optimization. For instance, HubSpot‘s AI-powered CRM platform uses machine learning algorithms to analyze customer data and provide personalized recommendations for sales and marketing teams. By leveraging these insights, you can refine your customization strategy and ensure that your CRM solution continues to meet the evolving needs of your business.

With the right KPIs in place and a process for ongoing refinement, you can unlock the full potential of your customized open source AI CRM solution. So why wait? Start your customization journey today and discover how a tailored CRM solution can transform your business. As you embark on this journey, consider exploring platforms like SuperAGI, which offers cutting-edge AI capabilities and customizable solutions to support your unique business needs. By taking the first step, you’ll be well on your way to creating a CRM solution that drives real results and propels your business forward.

In conclusion, tailoring open source AI CRM solutions to your unique business needs and industry can be a game-changer for organizations seeking to enhance customer relationships and drive business growth. As we’ve discussed throughout this post, customizing open source AI CRM solutions can bring numerous benefits, including improved customer insights, enhanced sales forecasting, and increased operational efficiency. To get started, assess your business requirements and identify areas where customization can add value. With the right technical approach and implementation roadmap, you can unlock the full potential of your open source AI CRM solution.

Looking ahead, the future of CRM customization is exciting, with advances in AI and machine learning enabling even more sophisticated and personalized customer experiences. According to recent research, 80% of companies that have implemented AI-powered CRM solutions have seen significant improvements in customer satisfaction and revenue growth. For more information on how to leverage AI-powered CRM solutions for your business, visit Superagi to learn more.

To recap, the key takeaways from this post are:

  • Customizing open source AI CRM solutions can help businesses achieve their unique goals and objectives
  • A thorough assessment of business requirements is essential for successful customization
  • A well-planned implementation roadmap and technical approach are critical to unlocking the full potential of open source AI CRM solutions

As you embark on your own CRM customization journey, remember to stay focused on your business goals and be mindful of the latest trends and insights in the industry. With the right approach and mindset, you can unlock the full potential of your open source AI CRM solution and drive meaningful business outcomes. So why wait? Take the first step today and discover the power of customized open source AI CRM solutions for yourself.