The Tech Panda takes a look at recent launches in the superfast field of Artificial Intelligence (AI).
Enterprise AI: Workato Opens Hyderabad AI Collaboration Hub to Co-Build the Future of Enterprise AI with Customers & Partners
Workato®, a control and execution platform for Enterprise AI, opened its third AI Collaboration Hub, located in Hyderabad, joining existing hubs in San Francisco and Singapore. The Hyderabad hub is a working space built on a simple conviction: the next wave of enterprise AI will be built together with an ecosystem of customers and partners.
“I grew up in Hyderabad, so opening this hub is personal – but why it matters to our customers is anything but sentimental. The hard part of enterprise AI was never the model; it’s making AI work within real companies, with their enterprise systems, data, and compliance realities,” said Vijay Tella, CEO and Co-founder, Workato. “The engineers who can solve that – at the intersection of AI, enterprise architecture, and governance – are here. So, we opened a place where our customers and partners build production-grade AI with us, in the same room, and walk out with something tangible.”
FEATURES
- The facility pairs collaboration zones and hot-desking with hands-on build labs, so that what starts as a whiteboard idea on Monday can be a running agentic workflow against a customer’s real systems by Friday.
- For customers, the hub compresses the distance between an AI idea and an AI outcome. Instead of trading documents and waiting on roadmaps, they co-engineer solutions against their own systems, in real time, with the people who built the platform.
- For GSI partners, it’s a launchpad: a place to co-create repeatable agentic solutions, establish enterprise AI practices, and bring joint offerings to market at speed.
InsurTech: Guidewire Introduces Qusar Release to Help Insurers Build and Control AI Agents
Guidewire (NYSE: GWRE) launched the Agentic Framework in its new Qusar release, enabling insurers to build, deploy, and manage AI agents on Guidewire Cloud Platform. The framework delivers value grounded in Guidewire’s deep insurance context across the functions that matter most to the business throughout the insurance lifecycle. Paired with new capabilities across Guidewire’s application portfolio, the Agentic Framework empowers carriers to protect indemnity margins, and elevate underwriting decisions, giving them the operational speed and precision to compete with confidence.
“Insurers are increasingly recognizing that AI value comes from deep integration with core business processes, not from isolated experimentation,” said Karlyn Carnahan, Executive Partner, Celent. “Agentic Framework addresses this directly by letting insurers deploy AI within their existing systems and workflows while maintaining operational control and compliance.”
FEATURES
- Claim Summarization for ProNavigator: Provides adjusters claim summaries, allowing them to focus on complex resolutions instead of manual note review
- Policy Change for ProNavigator: Serves as an embedded assistant that helps underwriters and customer service representatives complete policy changes faster, leading to faster turnaround and improved quote-to-bind ratios
- Agentic First Notice of Loss (FNOL): Guides claimants through the first notice of loss using conversational AI voice, capturing key claim details to improve the customer experience
Cloud: Cloudflare Gives Companies Full Visibility to Audit & Analyze AI Use
Cloudflare, Inc. (NYSE: NET), the connectivity cloud company, launched Identity-Aware AI Gateway, giving IT and security teams their clearest view yet into how employees use AI at work. For the first time, companies can see exactly which employee or agent sent a request to an AI model, set individual or team-level spending limits, and automatically flag risky content – all without building new systems or disrupting how people work. A companion feature, User Insights, goes further by learning what normal AI usage looks like for every person and automated system on a network and alerting teams the moment something breaks that pattern.
“When security is clunky, it becomes a speed bump that slows down innovation. Right now, companies are wary of surprise AI bills or accidental data leaks, so their instinct is to lock down access and restrict what teams can build,” said Dane Knecht, CTO of Cloudflare. “Connecting our access controls directly to AI Gateway flips that dynamic. Teams get the freedom to work with any AI model they choose. IT gets real-time visibility, guardrails, and the budget controls they actually need.”
FEATURES
- See Exactly Who’s Sending What: By connecting AI Gateway with Cloudflare Access, every AI request is now tied to a verified identity whether that’s an employee or an automated system.
- Catch Unusual Behavior Before It Becomes a Problem: User Insights tracks each user’s AI activity over time and builds a user baseline. When spending spikes well beyond what’s normal for a specific user or system, IT gets an alert.
- Surface Efficiency Opportunities That Are Easy To Miss at Scale: User Insights checks whether employees are using high-powered models for simple tasks that lighter, less expensive models could handle so efficiency gains are easy to find.
- Enforce Identity-Based Access and Authentication: Companies can replace blind, shared API keys by integrating with their Identity Provider (IdP) and Zero Trust (ZTNA) infrastructure. This validates user and device posture before sending requests to the model provider without slowing adoption, recording verified identities directly in request logs.
- Have One Place to See and Control all AI traffic: Instead of managing AI usage piecemeal across every tool and model provider, all requests flow through a single point. That gives IT immediate visibility across the board, the ability to cache repeat requests and cut redundant costs, rate limiting to stop runaway usage before it hits the invoice, and automatic filters that strip out employee names, passwords, and other sensitive data before they ever reach an outside AI provider.
WealthTech: Ionic Wealth Launches Institutional-Grade AI for Personalised Portfolio Insights
Wealth-tech platform Ionic Wealth launched Ionic Wealth AI, an institutional-grade wealth intelligence feature designed to deliver personalised portfolio insights. The feature combines an investor’s synced portfolio data for the last 20 years of Mutual Fund transaction history, through Mutual Fund Central with Ionic’s institutional knowledge across markets, macroeconomics and asset classes. It can analyse changes in portfolio and investment behaviour over time, identify recurring patterns and concentration across holdings and use the historical context to surface relevant portfolio insights.
Srikanth Subramanian, CEO and Co-founder, Ionic Wealth, “AI has made information more accessible, but access alone doesn’t lead to better decisions. Investors increasingly need an understanding of how each decision fits within their broader and long-term financial goals. Our approach is to use AI to augment human capital, bringing institutional investment knowledge into the context of each investor’s financial journey.”
FEATURES
- Analyses 20 years of related data through MF Central to uncover investor behaviour
- Designed to retain and connect an investor’s financial context over time.
- Brings an investor’s financial history and current portfolio together with Ionic’s domain expertise providing insights that reflect both what is happening in the market and how it relates to the investor’s own financial journey.
- Builds a longitudinal view of their wealth creation journey and applies real-time market developments to deliver insights relevant to their specific circumstances.
Industrial AI: New NI Nigel AI Capabilities Embed Context-Aware AI Authorship Across the NI
Global automation platform Emerson (NYSE: EMR) announced new NI Nigel™ AI enhancements, including author code generation capabilities, across its full software portfolio. This next phase of Nigel AI introduces prompt-based code generation within NI LabVIEW™ and automated sequence generation in NI TestStand™, enabling engineers to move from design to validation more quickly while maintaining the rigor required in mission-critical applications. Based on internal benchmarking across representative engineering workflows, these capabilities reduce the time and effort required to develop and deploy test systems by up to 50 percent – accelerating test engineering productivity across industries like automotive, electronics, aerospace and defense, and semiconductors.
“In one year, Nigel has evolved from an AI advisor to AI author, showing the strength of the NI platform and its ability to integrate the most in-demand technologies quickly for the benefit of our customers,” said Ritu Favre, president of Emerson’s test and measurement business. “By enabling purpose-built AI to generate code and test sequences within workflows, we’re accelerating productivity while ensuring engineers remain in control of validation and decision-making.”
FEATURES
- LabVIEW+ Suite, extending productivity gains to engineers globally
- Adds AI-powered code generation to LabVIEW and automated test sequence creation to TestStand
- Cuts test development time and effort by up to 50 percent across representative engineering workflows
- Extends Nigel AI across the full NI LabVIEW+ Suite for end-to-end AI-assisted test workflows
- Keeps engineers in control with built-in security, governance and regulatory alignment
