Unframe's $50M 'Building Blocks' Strategy to Transform Enterprise AI + Google's Gemini Leadership Shakeup

Welcome to Automation Toolbox, the short-form newsletter helping business leaders understand and leverage the power of AI automation.

In Today’s Toolbox

🔳 Unframe Raises $50M to Transform Enterprise AI with 'Building Blocks' Approach

🔳 Companies Expecting Significant ROI from Agentic AI in 2025

🔳 Google Replaces Gemini AI Head Amid Performance Challenges

🔳 Papa John's Unveils AI Transformation for Pizza Ordering

🔳 75% of Banks Now Exploring GenAI Deployment, Temenos Survey Reveals

AI Development

Unframe Raises $50M to Transform Enterprise AI with 'Building Blocks' Approach

Headed by Noname Security founder Shay Levi, Unframe announced that it had raised $50 million in funding to deploy turnkey AI solutions to large enterprise companies. “Just say the use case, and we’ll tailor a fully operational solution - built in days, not months - designed specifically for your needs.”, said Levi in a press release Thursday.

Levi explained that the product is based on modular AI “building blocks” that can be tailored to each business’s environment, goals, and tech stack. This means that Unframe can deliver AI solutions to replace legacy software and integrate them into existing tools and systems. Levi also touted the company’s “outcome-based pricing'“, allowing users to test Unframe’s fully-functioning solutions without the upfront financial investment.

While standalone AI tools and agents have exploded in popularity, this marks a significant leap toward enterprise-level adoption of the technology. Rather than integrating a multitude of standalone tools into already complex business systems, startups like Unframe are positioned to make enterprise AI adoption a much more cohesive - and secure -process.

Read the Silicon Angle article

Read the press release

AI Automation

Companies Expecting Significant ROI from Agentic AI in 2025

Executives are feeling bullish as a recent PagerDuty study revealed that 62% of enterprises expect to see more than a 100% return on investments in agentic AI. The research surveyed 1,000 Directors and above at companies with at least $500 million in annual revenue across the US, UK, Japan, and Australia.

AI agents are already deployed in 51% of the companies surveyed, with an additional 35% poised to implement within the next 24 months. Respondents cited improving customer service and cybersecurity, and streamlining daily tasks as the chief drivers of near-term adoption.

This shift toward agentic AI represents a significant opportunity for executive decision-makers to gain competitive advantages. Companies that delay implementation risk falling behind competitors who are already realizing operational benefits. The rapid ROI timeline suggests that properly deployed AI agents can quickly transform from cost centers to value creators within existing budget cycles.

Read the PagerDuty article

Papa John's Unveils AI Transformation for Pizza Ordering

Papa John's has announced a major investment in artificial intelligence to reshape how customers order pizza. Using past customer behavior data, the fast-food giant plans to implement a slew of targeted marketing campaigns as well as AI-powered ordering.

The plan calls for marketing initiatives such as phone push notifications, targeted marketing emails, and hyper-personalized loyalty programs tailored to individual customers through artificial intelligence powered by Google Cloud. The goal is personalization, says President and CEO Todd Penegor. “We’re not just reacting to orders - we’re anticipating our customers’ needs and proactively providing tailored recommendations and offers.”

The company also disclosed plans to offer online ordering through an AI chatbot, which can escalate complex issues to live agents when needed. Additionally, voice ordering is expected to be rolled out inside the Papa John’s app, further streamlining the ordering process.

Papa John's AI implementation demonstrates how traditional businesses can leverage technology to simultaneously transform customer interactions. As customers demand increasingly personalized service, AI continues demonstrating its competitive advantages in established industries.

Read the Reuters article

View the Press Release

AI on X

As agentic AI continues to develop at breakneck speeds, questions - and excitement - are mounting around the automation of IT tasks.

AI Leadership

Google Replaces Gemini AI Head Amid Performance Challenges

In the last Automation Toolbox, we discussed the rollout of Google’s Gemini 2.5 Pro, which appears to be setting new standards in performance and visibility for AI models. Despite this development, the company has opted to remove Gemini head Sissie Hsiao in favor of former Google Labs chief Josh Woodward.

Woodward, who previously headed Google Labs’ launch of NotebookLM, is expected to “sharpen [the company’s] focus on the next evolution of the Gemini app.” Hsiao will return to a new role at Google after a short hiatus and referred to her role at Gemini as “chapter 1” of the project.

Even with Gemini 2.5 Pro’s impressive debut, Google has struggled to maintain AI market share among its competitors. Despite commanding nearly 90% of search engine traffic on the web, Google continues to lag behind other AI giants like OpenAI, which currently enjoys a 74% market share among AI chatbots in the U.S.

Read the PYMNTS article

AI on X

With data security questions looming amid the development of AI tools, firms like Cyberhaven are betting big on risk mitigation.

Generative AI

75% of Banks Now Exploring GenAI Deployment, Temenos Survey Reveals

Temenos' latest banking survey reveals that 75% of banks are now actively exploring generative AI deployment across their operations. The survey, which polled 420 financial services leaders from various regions, shows a significant acceleration in GenAI adoption compared to previous years.

Banks are primarily focusing on customer service enhancements, with virtual assistants and personalized financial guidance being the top implementation areas. However, the survey also highlighted ongoing challenges. According to Isabelle Guis, Chief Marketing Officer at Temenos, “concerns around data privacy, legal requirements and accuracy remain top of mind.”

For business leaders, this trend signals a significant opportunity to optimize customer interactions in financial services. Banks that delay implementation risk falling behind competitors who are already leveraging these technologies to reduce operational costs and enhance customer experiences. The widespread adoption also suggests that GenAI solutions are becoming more mature and viable for enterprise-level deployment in regulated industries.

View the press release