👋 Good morning! AI is growing up fast, no longer content being a chatbot or code companion, it’s stepping into the role of operator. From UnifyApps building an “AI operating system” for enterprise workflows to agentic systems quietly running sales teams and defending digital identities, this week’s edition explores how AI is becoming the infrastructure of modern business. The next phase isn’t about teaching AI what to say, it’s about trusting it to act. Let’s dive in.
📄UnifyApps - the “AI operating system” for large organisations
UnifyApps recently closed a US$50 million Series B round at approximately a $250 million valuation, led by WestBridge Capital, marking a strong vote of confidence in its vision.
Launched in 2023, UnifyApps describes itself as an “enterprise operating system for AI” and targets the messy reality of large-company workflows by connecting systems like Salesforce, Workday, and others to generative AI models.
Its customers already include big names such as Lowe’s, HDFC Bank and Deutsche Telekom, companies that rely on intricate enterprise systems and high-volume processes.
What’s compelling about UnifyApps is how it interprets the challenge of enterprise AI: rather than focusing on flashy single-use cases, it builds a platform that embeds AI into the tools employees already use, automating claims processing, HR workflows and supply-chain tasks. This reframing, of AI as a “workflow fabric” rather than a standalone app, may well define how large firms move from pilots to production. With this latest funding, UnifyApps plans to expand its headcount by over 100, scale into Europe and deepen its platform integrations.
In short: UnifyApps is a strong indicator that the next frontier for AI isn’t the model, it’s the messy, real-world enterprise infrastructure and the human workflows layered on top.
📈 Trendlines: From Chatbots to Autonomous Execution Engines
Investors and strategists are shifting their gaze from splashy chatbot interfaces to the less glamorous but higher-stakes “AI infrastructure.” The emerging trend? The real gold isn’t who has the slickest chatbot, but who builds and scales the agentic AI engines, platforms enabling businesses to deploy and govern fleets of autonomous AI agents reliably.
Why? Because today’s AI agents are execution engines, embedded deep into workflows, rather than conversational novelties. This demands an architectural evolution, separating agent orchestration, integration, and oversight from basic AI model capabilities. Firms building the underlying infrastructure, akin to AWS in cloud computing, are positioning themselves as essential partners for the next generation of AI deployments, where autonomy, security, and governance are non-negotiable.
Expect this trend to accelerate as businesses wrestle with scaling agent fleets while maintaining compliance and control. The era of single chatbot apps is giving way to enterprise-grade AI orchestration platforms, quietly powering automation across industries.
🤖AI In Action
Large enterprise sales teams are increasingly turning to “agentic AI”. Autonomous systems trained on the workflows of top-performing sales reps that can manage inbound leads, follow up with prospects and update CRM systems in real time. These agents not only execute tasks but anticipate next steps, integrate across systems and continuously learn from each interaction.
What this means in practice is that companies are shifting from AI as a passive assistant to AI as an active collaborator. Agents now qualify leads, generate outreach messages, schedule demos and even escalate complex cases to humans, freeing sales professionals to focus on negotiation, relationship-building and strategic accounts. The result: faster cycles, higher conversion and more efficient use of human talent.
💬AI in the Wild: When Identity Theft Meets AI Generators
Identity theft is getting a 21st-century upgrade, AI-powered. The battle to secure digital identity isn't just about passwords anymore; it’s about outsmarting AI-enabled fraudsters using deepfakes, synthetic identities, and impersonation attacks. Industry leaders like Okta and Ping Identity are fighting back using AI themselves, deploying multi-layered defenses combining privacy-preserving biometrics (think zero-knowledge proofs) and AI-driven fraud detection.
In a notable acquisition, MTX Group snapped up Verifyid.ai to boost AI-powered public sector identity verification, emphasizing scalable, ethical AI deployment. Meanwhile, the Cloud Security Alliance introduced the Digital Identity Rights Framework (DIRF) to guard against emerging AI-based threats, from deepfakes to unauthorized biometric data capture.
What’s compelling: AI that once enabled digital trickery is being weaponized to defend digital trust, creating an automated security fabric that adapts as attackers evolve. For enterprises operating in financial services, government, or any sector where identity is king, this marks a non-negotiable frontier. The race isn’t just to innovate AI, but to trust AI.
💡 Quick Hits & Numbers
- 78% of C-suite executives say agentic AI requires new operating models to capture its full potential.
- Adobe Firefly launches an all-in-one creative AI suite integrating audio, video, and imaging with models from ElevenLabs, Google, and Topaz Labs.
- Internal OpenAI data reveal over 1 million users weekly show signs of mental health distress or mania interacting with ChatGPT.
- Together AI expands its platform with 40+ new image and video models, fueling multimodal creative apps development.
🧩 Closing Thought
Autonomy in AI is no longer a theoretical goal—it’s becoming the baseline expectation. From immersive virtual agents in Minecraft to complex workflows in enterprises, AI is shifting from scripted response machines to self-directed collaborators. Yet, with great autonomy comes the need for equally robust governance, trust frameworks, and ethical guardrails. In this unfolding era, AI won't just replace tasks—it will challenge the very way we structure decision-making and responsibility.
The question for leaders: How ready are you to work with autonomous AI agents, and not just through them?