AI Tools for Automation - gettectonic.com
Being AI-Driven

Being AI-Driven

Imagine a company where every decision, strategy, customer interaction, and routine task is enhanced by AI. From predictive analytics uncovering market insights to intelligent automation streamlining operations, this AI-driven enterprise represents what a successful business could look like. Does this company exist? Not yet, but the building blocks for creating it are already here. To envision a day in the life of such an AI enterprise, let’s fast forward to the year 2028 and visit Tectonic 5.0, a fictional 37-year-old mid-sized company in Oklahoma that provides home maintenance services. After years of steady sales and profit growth, the 2,300-employee company has hit a rough patch. Tectonic 5.0’s revenue grew just 3% last year, and its 8% operating margin is well below the industry benchmark. To jumpstart growth, Tectonic 5.0 has expanded its product portfolio and decided to break into the more lucrative commercial real estate market. But Tectonic 5.0 needs to act fast. The firm must quickly bring its new offerings to market while boosting profitability by eliminating inefficiencies and fostering collaboration across teams. To achieve these goals, Tectonic 5.0 is relying on artificial intelligence (AI). Here’s how each department at Tectonic 5.0 is using AI to reach these objectives. Spot Inefficiencies with AI With a renewed focus on cost-cutting, Tectonic 5.0 needed to identify and eliminate inefficiencies throughout the company. To assist in this effort, the company developed a tool called Jenny, an AI agent that’s automatically invited to all meetings. Always listening and analyzing, Jenny spots problems and inefficiencies that might otherwise go unnoticed. For example, Jenny compares internal data against industry benchmarks and historical data, identifying opportunities for optimization based on patterns in spending and resource allocation. Suggestions for cost-cutting can be offered in real time during meetings or shared later in a synthesized summary. AI can also analyze how meeting time is spent, revealing if too much time is wasted on non-essential issues and suggesting ways to have more constructive meetings. It does this by comparing meeting summaries against the company’s broader objectives. Tectonic 5.0’s leaders hope that by highlighting inefficiencies and communication gaps with Jenny’s help, employees will be more inclined to take action. In fact, it has already shown considerable promise, with employees being five times more likely to consider cost-cutting measures suggested by Penny. Market More Effectively with AI With cost management underway, Tectonic 5.0’s next step in its transformation is finding new revenue sources. The company has adopted a two-pronged approach: introducing a new lineup of products and services for homeowners, including smart home technology, sustainable living solutions like solar panels, and predictive maintenance on big-ticket systems like internet-connected HVACs; and expanding into commercial real estate maintenance. Smart home technology is exactly what homeowners are looking for, but Tectonic 5.0 needs to market it to the right customers, at the right time, and in the right way. A marketing platform with built-in AI capabilities is essential for spreading the word quickly and effectively about its new products. To start, the company segments its audience using generative AI, allowing marketers to ask the system, in natural language, to identify tech-savvy homeowners between the ages of 30 and 60 who have spent a certain amount on home maintenance in the last 18 months. This enables more precise audience targeting and helps marketing teams bring products to market faster. Previously, segmentation using legacy systems could take weeks, with marketing teams relying on tech teams for an audience breakdown. Now, Tectonic 5.0 is ready to reach out to its targeted customers. Using predictive AI, it can optimize personalized marketing campaigns. For example, it can determine which customers prefer to be contacted by text, email, or phone, the best time of day to reach out, and how often. The system also identifies which messaging—focused on cost savings, environmental impact, or preventative maintenance—will resonate most with each customer. This intelligence helps Tectonic 5.0 reach the optimal customer quickly in a way that speaks to their specific needs and concerns. AI also enables marketers to monitor campaign performance for red flags like decreasing open rates or click-through rates and take appropriate action. Sell More, and Faster, with AI With interested buyers lined up, it’s now up to the sales team to close deals. Generative AI for sales, integrated into CRM, can speed up and personalize the sales process for Tectonic 5.0 in several ways. First, it can generate email copy tailored to products and services that customers are interested in. Tectonic 5.0’s sales reps can prompt AI to draft solar panel prospecting emails. To maximize effectiveness, the system pulls customer info from the CRM, uncovering which emails have performed well in the past. Second, AI speeds up data analysis. Sales reps spend a significant amount of time generating, pulling, and analyzing data. Generative AI can act like a digital assistant, uncovering patterns and relationships in CRM data almost instantaneously, guiding Tectonic 5.0’s reps toward high-value deals most likely to close. Machine learning increases the accuracy of lead scoring, predicting which customers are most likely to buy based on historical data and predictive analytics. Provide Better Customer Service with AI Tectonic 5.0’s new initiatives are progressing well. Costs are starting to decrease, and sales of its new products are growing faster than expected. However, customer service calls are rising as well. Tectonic 5.0 is committed to maintaining excellent customer service, but smart home technology presents unique challenges. It’s more complex than analog systems, and customers often need help with setup and use, raising the stakes for Tectonic 5.0’s customer service team. The company knows that customers have many choices in home maintenance providers, and one bad experience could drive them to a competitor. Tectonic 5.0’s embedded AI-powered chatbots help deliver a consistent and delightful autonomous customer service experience across channels and touchpoints. Beyond answering common questions, these chatbots can greet customers, serve up knowledge articles, and even dispatch a field technician if needed. In the field, technicians can quickly diagnose and fix problems thanks to LLMs like xGen-Small, which

Read More
Salesforce Campaign Flows

Salesforce Campaign Flows: A New Era of Automation

Salesforce’s Flow has long been a powerful automation tool, democratizing access to sophisticated automation for non-coders. It also drives the automation behind Marketing Cloud Growth Edition, including email dispatch. Salesforce Campaign Flows mark a significant step toward making automation more accessible for marketers. For the first time, Salesforce introduces what are termed “non-admin flows,” which offer a streamlined interface for managing Flow automation without dealing with complex nodes and elements. This marks a significant development, as no other Salesforce products currently feature this simplified approach. Marketers now have direct access to Flow’s capabilities. Introduction to Salesforce Campaign Flows Campaign Flows in Salesforce provide a user-friendly interface for setting up email content, applying actions to records triggered by events, and more. This functionality closely parallels tools like Engagement Studio in Account Engagement and Journey Builder in Marketing Cloud. However, the timeline for incorporating features such as Journey Builder’s goals and exit criteria into Campaign Flows remains undisclosed. Flow now supports shorter wait periods, a sought-after feature for orchestrating marketing journeys more effectively. Branching logic with Decision elements allows users to create “yes/no” paths based on lead or contact criteria, adding flexibility to the marketing automation process. Types of Campaign Flows Currently, there are two types of Campaign Flows: Segment-triggered Flows and Form-triggered Flows. The key differences between these Campaign Flows and traditional Salesforce Flows include: Available Elements Campaign Flows are a simplified version of Salesforce Flows, with some elements unavailable in this reduced interface. Key elements such as Wait and Decision elements are included, which are essential for marketing use cases. The following table compares available elements: Element Name Salesforce Flow Segment-triggered Flows Form-triggered Flows Action ✅ ❌ ❌ Add Prompt Instructions ✅ ❌ ❌ Apex Action ✅ ❌ ❌ Assignment ✅ ✅ ✅ Collection Filter ✅ ✅ ✅ Collection Sort ✅ ✅ ✅ Create Records ✅ ✅ ✅ Custom Error ✅ ❌ ❌ Decision ✅ ✅ ✅ Delete Records ✅ ✅ ✅ Email Alert ✅ ❌ ❌ Get Records ✅ ✅ ✅ Loop ✅ ✅ ✅ Recommendation Assignment ✅ ❌ ❌ Screen ✅ ❌ ❌ Send Email Message * ✅ ❌ Send SMS Message * ✅ ❌ Start ✅ ✅ ✅ Subflow ✅ ❌ ❌ Transform ✅ ❌ ❌ Update Records ✅ ✅ ❌ Wait ✅ ✅ ✅ Wait Until Event * ✅ ✅ *Only with Marketing Cloud Growth Wait vs. Wait Until Event Elements The “Wait” element allows for fixed pauses, such as waiting for three days. The “Wait Until Event” element, available in Marketing Cloud Growth, holds Leads/Contacts until a specified event makes them eligible to proceed. This mirrors functionality found in Engagement Studio. User Access and Capabilities In Marketing Cloud Growth, Campaign Flow sharing is set to private by default, with visibility influenced by associated records, sharing rules, and manual sharing settings. This means Campaign Flows are generally private unless additional sharing rules are established. Creating and Editing Campaign Flows Campaign Flows in Marketing Cloud Growth have a simplified user interface compared to Salesforce’s traditional flows. Summary The introduction of non-admin flows in Salesforce marks a significant step toward making automation more accessible for marketers. These simplified interfaces enable the creation of effective marketing campaigns while maintaining the option to integrate with more complex flows in Marketing Cloud Growth Edition. Future developments will likely expand the use cases and capabilities of these streamlined flows. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
AI Tools for Automation

AI Tools for Automation

Revolutionizing QA Testing: Top 10 AI Tools for Automation Artificial intelligence (AI) is transforming many aspects of our daily lives and professional environments, and its impact on Quality Assurance (QA) testing is particularly groundbreaking. While AI applications in areas like photo-to-anime converters gain attention, its role in automating QA testing processes is truly revolutionary. In this article, we’ll explore the top 10 AI tools that are changing the game in QA automation. AI Tools for Automation. Why Use AI in QA Testing? AI is a game-changer in QA testing, streamlining processes that were once manual and time-consuming. It enhances efficiency by optimizing test scenarios, predicting defects, and automating test creation and execution. Although manual testing remains important, AI tools are becoming crucial for achieving more accurate and efficient QA processes. Top 10 AI Testing Tools Here’s a curated list of the top 10 AI tools for test automation. Choosing the Right AI Tool To select the best AI testing tool for your needs, follow these steps: Conclusion AI is transforming QA testing by reducing preparation time, improving accuracy, and enhancing software quality. By leveraging the AI tools outlined above, you can optimize your testing processes and achieve superior results. For expert QA assistance and a detailed product testing estimate, contact our professional team. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
gettectonic.com