How to Solve Over-Promised AI Tools Failing to Deliver

Go-to-market teams often resist AI adoption due to past disappointments with solutions that overpromised and underdelivered. Tools hyped as cure-alls left many doubting AI's ability to drive revenue growth. Consequently, teams waste hours on repetitive tasks that distract from strategic initiatives, causing GTM Bloat.

Implement the right GTM AI strategy with targeted workflows to achieve the promised efficiency gains. Thoughtful AI applications automate time-consuming processes, personalize messaging at scale, and convert more leads into customers, increasing GTM Velocity. Focus on solving specific challenges rather than attempting to address all issues with one tool.

How to Solve Disappointment from Overhyped AI Tools

Address AI disappointment and time wasted on low-value tasks by using two key workflows on a GTM AI Platform:

• Cold Messaging Creation from the Prospecting Cockpit package
• Email Nurture Campaigns from the Inbound Lead Processing package

These workflows automate personalized outreach and lead nurturing. Eliminating manual effort from repetitive tasks allows marketing to focus on strategic growth initiatives.

1. Cold Messaging Creation (Prospecting Cockpit package)

The Cold Messaging Creation workflow streamlines personalized outreach across multiple channels.

Inputs Needed:

• Data from account research
• Data from contact research
• Company value propositions

What the Workflow Does:

• Step 1: Analyze target audience data to identify key persona attributes
• Step 2: Map persona attributes to relevant value propositions and messaging
• Step 3: Customize outreach templates with persona-specific messaging
• Step 4: Generate personalized messages for email, social, and phone outreach
• Step 5: Load messages into sales engagement tools for automated delivery

This workflow enables marketing to deliver relevant outreach at scale. Sales reps save time on template customization, and engagement rates increase with persona-specific messaging.

Example in Action: Acme Inc. promotes a new product feature to existing healthcare customers. Marketers input a generic product announcement email and healthcare customer attributes. The workflow produces tailored emails highlighting specific benefits for healthcare organizations. Automated delivery of these personalized emails increases feature adoption by 30%.

2. Email Nurture Campaigns (Inbound Lead Processing package)

The Email Nurture Campaign workflow helps marketing teams build and deploy lead nurturing sequences that maintain prospect engagement.

Inputs Needed:

• Lead engagement data (e.g., content downloads, webinar attendance)
• Follow-up history

What the Workflow Does:

• Step 1: Analyze lead engagement data to determine nurturing paths
• Step 2: Segment leads onto topical nurture tracks based on engagement data
• Step 3: Customize email sequence templates with relevant content and CTAs for each track
• Step 4: Schedule emails for automated delivery at set intervals
• Step 5: Analyze email performance data and optimize sequences over time

This workflow ensures consistent lead follow-up without constant manual effort. Tailored nurture sequences based on lead behavior keep prospects engaged with relevant information. Marketing can automate the process, focusing on performance monitoring and periodic optimizations.

Example in Action: Acme Inc. nurtures leads from a recent sales coaching webinar. Marketers input webinar attendance data, and the workflow subscribes leads to a pre-built "sales coaching" nurture track. Leads receive a series of emails over three weeks sharing Acme's latest sales coaching eBook, demo invitations, and a case study. The automated campaign converts 10% of nurtured leads to sales opportunities.

Combining the Workflows

Using Cold Messaging Creation and Email Nurture Campaign workflows together enables marketing teams to automate lead engagement. Cold Messaging Creation generates personalized outreach to target accounts, initiating sales conversations at scale. As leads respond and engage, the Email Nurture Campaign guides them through the buyer's journey with relevant content.

This workflow combination covers the full lead lifecycle from first touch to conversion. Automating these processes allows marketing to optimize performance and expand AI usage for other growth initiatives. The result: an efficient, always-on lead generation and nurturing system that accelerates GTM Velocity.

Why Copilots Aren't Sufficient

AI copilots like ChatGPT lack the ability to operationalize AI workflows across the marketing tech stack. While useful for one-off tasks like email writing, copilots cannot ingest data from marketing systems, make decisions based on that data, and push outputs to other tools. Attempting to use copilots for this purpose leads to fragmented tech stacks, siloed data, and inconsistent processes that worsen GTM Bloat.

Marketing teams need purpose-built AI workflows on a GTM AI Platform that works together naturally with existing tools and data to solve efficiency challenges. This approach enables end-to-end process automation in a unified way. Copilots may assist with ideation and content creation but cannot drive the comprehensive process changes required for transformational growth.

Looking Ahead

After automating lead generation and nurturing, marketing teams can focus on optimizing performance and expanding AI usage. Examples include:

• Using the A/B Testing workflow to experiment with new messaging and offers
• Implementing the Dynamic Landing Pages workflow to personalize post-click experiences
• Utilizing the Predictive Lead Scoring workflow to identify sales-ready leads

As marketing teams gain experience with initial workflows, they can tackle more complex use cases. Focus on addressing real challenges, not adopting AI indiscriminately. Link workflows directly to growth objectives to build trust in AI and secure further investment.

AI can enhance efficiency across all marketing functions - from campaign planning to content creation to performance measurement. As marketing becomes more effective, it will play an increasingly crucial role in driving company growth and GTM Velocity.

Related Resources

If you found this guide helpful, then you might also be interested in the following resources:

• What is GTM Bloat? Learn more about the causes and consequences of go-to-market bloat and how AI can help streamline growth.
• Making the Shift to Profitable, Efficient Growth with Sam Jacobs Discover strategies for improving go-to-market efficiency and profitability in this insightful podcast episode.
• How Companies Can Eliminate Bloat and Improve CAC with Chris Walker Learn proven tactics for reducing customer acquisition costs by eliminating operational bloat.

By leveraging the power of AI workflows, marketing teams can finally achieve the efficiency gains they need to accelerate growth. Book a demo today to see how Copy.ai's GTM AI Platform can help you eliminate bloat and boost GTM velocity.