Category technology

India,  Nov 27:  Icertis, the global leader in AI-powered contract intelligence, today announced the acquisition of Dioptra to further accelerate its best-of-breed AI technology for enterprise contracting. This marks the next milestone in the company’s long-term AI strategy following the launch of Icertis Vera and signals an inflection point in contract lifecycle management (CLM) innovation.

More than 80 percent of C-suite leaders are ready to let AI agents support contract negotiations, and AI capabilities from Icertis and Dioptra are turning this vision into reality. Dioptra’s surgical redlining and automated playbook creation augment the Icertis Contract Intelligence platform to advance speed and accuracy in contract operations and reimagine every contract interaction as an AI-first experience.

“Icertis and Dioptra share a commitment to keep customers at the forefront of what’s possible with AI. Their technology and talent are the perfect complement to underscore our leadership and enable Icertis to deliver even greater value across the entire contract lifecycle,” said Anand Subbaraman, CEO, Icertis. “Icertis has the most robust contract data repository in the market, and that enables us to deliver more accurate AI that understands the intention of contracts. Dioptra’s legal-centric tools will be an added catalyst to adoption of our platform as we continue to define the future of contracting with breakthrough AI.”

Contract data was historically housed in an average of 24 different systems, according to World Commerce & Contracting. Today, Icertis Contract Intelligence unifies contract data across the enterprise, delivering AI-driven insights, operations, and performance in one platform to streamline contract creation, optimise negotiations, and position businesses to realise long-term outcomes from their agreements. Dioptra builds on the Icertis platform’s operations capabilities – powered by Vera – with pre-signature agents that automate playbook creation based on existing contracts and handle first line of review on every new agreement. Together, this next-gen AI brings enterprises one step closer to fully autonomous contracting – where every agreement performs as intended and legal talent is deployed to its highest and best use.

“Becoming part of Icertis was a natural next step after Dioptra’s success as a Y Combinator startup and the early results from our partnership,” said Farah Gasmi, Co-founder of Dioptra. “It was clear from day one that we have a shared mindset around the opportunity to transform contracts into strategic business assets, and our team is excited to help drive this next chapter in Icertis’ journey as an AI company.”

Dioptra’s founders, hailing from Spotify, IBM Watson, and academic roles at Columbia University, will join the Icertis product and engineering teams to shape the future of AI-powered contract intelligence. Their legal expertise will further evolve the Icertis AI roadmap, positioning customers to gain:

· Automated playbook creation based on existing contracts to speed time to value, reinforce negotiation best-practices, and maximise outcomes with fully custom, AI-ready playbooks.

· Agent-powered risk review that instantly pinpoints noncompliance with governance standards and generates a streamlined issues list to minimise liability.

· Interactive surgical redlines that align precisely with bespoke playbooks to drive greater efficiency in contract reviews and alleviate legal workloads.

· One-click clause insertion via an integrated clause library to expedite contract drafting and pre-signature processes.

“Enterprises – particularly legal teams – demand accuracy, transparency, and defensibility from AI. Icertis is the AI company legal departments can trust to bridge the gap between innovation and governance and deploy contract AI with confidence,” said Subbaraman.

Icertis makes every contract deliver to turn contract clarity into operational confidence. Through next-gen offerings like Vera Agents, deep partnerships with AI leaders like SAP and Microsoft, and the financial viability to invest in long-term innovation, Icertis is rapidly advancing contract-specific AI that reflects the true intent of business agreements.

Bengaluru, Nov 26: Scaler School of Technology is all set to host its inaugural fest, Yugaantar, a celebration of innovation, learning, and the spirit of transformation. Bringing together some of the most dynamic voices in tech and entrepreneurship, including Sambhav Jain, Co-founder at Fampay; Varun Agarwal, Entrepreneur; Madhurima, Leads AI Transformation at Microsoft and Vasuta Agarwal, Independent Director and Board Member at IndiaMART and Kaya Limited, among others, the fest promises an enriching and inspiring experience for students and attendees.

Yugaantar: A Fest That Marks the Change of an Era

True to its name, Yugaantar embodies Scaler’s belief in revolutionising education and embracing the future. With a vibrant mix of events, workshops, and speaker sessions, the fest offers something for every tech enthusiast, from coding aficionados to budding founders. It reflects Scaler’s commitment to shaping next-gen innovators while staying rooted in tradition and community.

Spotlight Events at Yugaantar

Unfiltered

Straight Talk. Real Stories.

Speaker: Varun Agarwal, Entrepreneur | Founder & CEO – Enthu Cutlets | Co-founder – Alma Mater Store

An exclusive, candid entrepreneurial talk series that brings audiences face-to-face with leading founders in an unscripted format. Get an inside look at the journeys of successful entrepreneurs through informal, honest conversations that cut through the polish.

In this edition, Varun Agarwal, one of India’s OG college entrepreneurs and a multi-venture founder, shares the real story behind his rise: the challenges he faced, the lessons he learned, and the turning points that shaped his career.

With limited, invite-only access, this session offers a rare opportunity to learn directly from industry leaders in an intimate, unfiltered setting.

When Chai Meets Tech

Brewing Ideas, One Sip at a Time

Speaker: Madhurima, Leads AI Transformation at Microsoft | TEDx Speaker

A captivating intersection of cutting-edge innovation and timeless tradition. Join Madhurima, leader of AI transformation at Microsoft and a TEDx speaker, as she explores emerging technologies, meaningful innovation, and the stories that shaped her journey, all over a warm cup of chai.

An enlightening experience that blends community, curiosity, and future-focused ideas.

The Bounce Back

Turning Failures into Foundations

Speaker: Vasuta Agarwal, Independent Director & Board Member – IndiaMART, Kaya Limited | Former CBO – InMobi

A riveting tech talk show that uncovers the triumphs hidden within the trials of industry titans.

Featuring Vasuta Agarwal, a seasoned business leader with decades of experience scaling global organisations, this session dives deep into the setbacks that shaped her and how she used them as fuel for reinvention.

An unforgettable exploration of resilience, growth, and the power of learning from our missteps.

Tic-Tech-Talk

Where Ideas Meet Innovation

Dive into the realm of cutting-edge technology as our panel of renowned industry technologists shares their insights, predictions, and the latest trends shaping the digital landscape.

Featuring Sambhav Jain, the visionary Co-founder of FamPay and a Forbes 30 Under 30 honoree, this session promises thought-provoking conversations on the ideas defining tomorrow.

An unmissable event for tech enthusiasts, entrepreneurs, and innovators.

Event Details:

Date: 28th November to 30th November

Time: 09:00 AM onwards

Venue: Scaler School of Technology, Bengaluru, Karnataka

MUMBAI, India, Nov 24: Crayon Software Experts India (Crayon), a leading provider of cloud-first digital transformation services in India, and monday.com, the global software company that builds products people love to manage the core of their work, today announced their partnership to accelerate the adoption of monday.com’s Work OS products across Indian enterprises and mid-market organizations.

Through this partnership, Crayon will deliver integrated solutions that combine monday.com’s flexible, no-code work platform with Crayon’s expertise in consulting, cloud, software asset management, and managed services. The collaboration aims to address key business challenges in the Indian market, such as workflow fragmentation, limited visibility, and the growing demand for agile remote and hybrid work models. By uniting Crayon’s vendor-agnostic, lifecycle-driven service approach with monday.com’s unified platform, customers gain a single ecosystem to centralize work, automate processes, and enhance collaboration and insight-driven decision-making across functions, including projects, operations, sales, marketing, and IT.

As part of this alliance, Crayon will also enable its extensive partner network to seamlessly access and distribute monday.com’s products (monday Work Management, monday CRM, monday dev & monday Service), helping organizations boost productivity and business agility. Furthermore, Crayon has been authorized as a Designated Seller of Record (DSOR) to transact monday.com through AWS Marketplace, allowing partners and customers to securely procure, deploy, and manage monday.com using their existing AWS accounts in full compliance with Indian taxation and regulatory requirements.

“Organizations in India are increasingly demanding platforms that not only support transformation, but also enable real-time execution and measurable business outcomes,” said Vikas Bhonsle, EVP- MEA at Crayon Software Experts India. “Our partnership with monday.com aligns with our mission of helping customers build the commercial and technical foundation for a successful and secure cloud-first journey. By embedding monday.com into our solution stack, we are able to deliver tailored workflows, industry-specific templates and managed services that make work easier, faster and more impactful for our clients.”

Together, Crayon and monday.com will further expand monday.com’s Work OS ecosystem in India, enabling Crayon1 to strengthen its portfolio of collaborative cloud solutions while deepening its role as a trusted advisor in helping businesses optimize technology investments and accelerate digital transformation outcomes.

“We are delighted to partner with Crayon Software Experts India to extend our product offering into the Indian market,” said Dean Swan, VP and GM Asia Pacific at monday.com. “Crayon’s strong local presence, lifecycle-oriented service model, and deep expertise across software and cloud make them an ideal partner. Together, we will help Indian organisations transform how work gets done, boosting transparency, agility, and growth.”

Pune, Nov 21:- Onix, a global leader in data, cloud, and AI transformation and a 16-time Google Cloud Partner of the Year, today announced that it has been recognized as a Leader in Everest Group’s 2025 PEAK Matrix® for Google Cloud Services Specialization.

The recognition highlights Onix’s leadership in helping enterprises modernize, innovate, and scale through AI-first, data-driven cloud solutions built on Google Cloud. Everest Group’s independent assessment evaluates providers based on their market impact, vision, and capabilities in enabling business transformation through Google Cloud technologies.

“Recognition by Everest Group as a Leader in Google Cloud services underscores the depth and success of our strategic partnership with Google Cloud,” said Sanjay Singh, Chief Executive Officer at Onix. “For over 20 years, our Google-first approach as a trusted Google Cloud partner has fueled customer success and innovation across industries. By combining Google Cloud’s advanced technologies with our IP-led, agentic AI approach, we are leading the industry in equipping organizations with the intelligence, agility, and autonomous systems needed to lead in this era of continual change.”

Recognition Highlights;

In its 2025 PEAK Matrix® assessment, Everest Group highlights  Onix’s strengths in:

• Deep Google Cloud expertise across modernization, data analytics, AI/ML, and industry-specific solutions, backed by 16 Google Cloud Partner of the Year wins.
• Outcome-driven engagement models that align delivery with business KPIs and transformation metrics.
• Innovative use of agentic AI and IP-led assets such as the Wingspan platform to automate and optimize cloud operations.
• High customer satisfaction for agility, delivery excellence, and partnership flexibility.
• Strong leadership depth, with former CDOs, CTOs, and CIOs guiding strategy and execution for enterprise transformation.
• Launch partners for Google Cloud Gemini Enterprise.

“Onix demonstrates strong capability as a Google Cloud specialist partner, supporting enterprises in modernizing data, applications, and AI workloads through integrated transformation programs. It showcases deep alignment with Google Cloud’s AI-driven modernization vision through multiple specializations, proprietary IPs, marketplace presence, and launch partners for offerings such as Gemini, Agentspace, and Google Distributed Cloud. Clients commend Onix for combining strong technical expertise with strategic partnership alignment, delivering value-driven outcomes and tech-enabled growth. These factors have contributed to its positioning as a Leader and Star Performer on Everest Group’s Google Cloud Services Specialist PEAK Matrix® Assessment 2025,” says Zachariah Chirayil, Practice Director, Everest Group.

Driving Next-Gen Transformation with Agentic AI and Google Cloud;
Onix’s success in Google Cloud services stems from its agentic AI approach, which embeds autonomous, self-learning agents into enterprise workflows to drive efficiency, performance, and innovation. Powered by the Wingspan platform—combining proprietary IP, automation, and AI accelerators—Onix streamlines modernization and ensures every solution delivers measurable, outcome-based business value.

Trusted by Industry Leaders, Guided by Cloud and AI Veterans;
Onix’s leadership team of seasoned industry executives brings a blend of technical depth and business foresight to every engagement. The company’s partnership-led model with Google Cloud emphasizes long-term transformation, ensuring customers gain not just cloud capability but sustained competitive advantage through AI-driven modernization.

Airtel Payments Bank Secures Rights for Multi-Lane Free Flow Tolling System Implementation from IHMCL

Airtel Payments Bank has bagged the rights from Indian Highways Management Company Limited (IHMCL) to implement the Multi-Lane Free Flow (MLFF) tolling system at the Daulatpura Toll Plaza in Jaipur.

The Multi-Lane Free Flow (MLFF) system is an advanced, barrier-less Electronic Toll Collection (ETC) solution that allows vehicles to pass through toll plazas without stopping. It facilitates seamless transactions by reading FASTag and Vehicle Registration Numbers (VRN) using high-performance RFID readers and ANPR cameras. This implementation is expected to reduce congestion and travel time, improve fuel efficiency, and provide commuters with a smoother travel experience.

The deployment of MLFF at Daulatpura marks a significant milestone in transforming toll operations and advancing the government’s vision of a modern, technology-driven highway infrastructure.

Mr. Ganesh Ananthanarayanan, Chief Operating Officer, Airtel Payments Bank, said,

“India is at the cusp of a transport revolution driven by digital infrastructure and intelligent mobility systems. Airtel Payments Bank has been at the forefront of digitizing travel-related payments, and this partnership with IHMCL to implement the MLFF tolling system is another important step in that journey. We are honoured to collaborate in advancing the next phase of smart and seamless mobility. With our robust digital banking ecosystem, we aim to contribute meaningfully to India’s vision of a frictionless, future-ready transport network.”

Through this initiative, Airtel Payments Bank and IHMCL are moving towards a nationwide shift leading to frictionless mobility. The initiative underscores Airtel Payments Bank’s commitment to powering India’s digital public infrastructure and enabling faster, more efficient movement of people and goods across the country.

India, Nov 20: IEEE, the world’s largest technical professional organisation dedicated to advancing technology for humanity, released the results of “The Impact of Technology in 2026 and Beyond: an IEEE Global Study,” a survey of global technology leaders from Brazil, China, India, Japan, the U.K. and the U.S. The study covers which technologies AI will influence the most in 2026; expectations for AI market growth, benefits, uses, and skills; and future technology trends. To learn more about the study and the impact of technology in 2026 and beyond, visit https://transmitter.ieee.org/iot-2026.

Increased Use of Agentic AI by Everyone to Drive Need for More Data Analysts

Agentic AI is like a smart assistant that, when given a task, can work independently, but still needs its work double-checked. Its adoption is on the rise, and a strong majority of technologists globally (96%) agree that agentic AI innovation, exploration and adoption will continue at lightning speed in 2026, as both established enterprises and start-ups deepen investments and commitments to technology.

However, the rise of agentic AI won’t be confined to business. Survey respondents see it reaching mass or near-mass adoption by consumers in 2026 for the following uses:

(52%) Personal assistant | scheduler | family calendar manager
(45%) Data privacy manager
(41%) Health monitor
(41%) Errand and chore automator (e.g. grocery orders)
(36%) News and information curator

In addition, 91% agree the use of agentic AI to analyze greater amounts of data will grow in 2026, spurring a data analyst hiring boom to analyze the accuracy of results, transparency and vulnerabilities. According to the survey, the top skills technologists will seek in candidates they plan to hire for AI-related roles in 2026 are:

(44%) AI ethical practices skills (+9% from prior year)
(38%) Data analysis skills (+4% from prior year)
(34%) Machine learning skills (+6% from prior year)
(32%) Data modeling skills, including processing (no change from prior year)
(32%) Software development skills (-8% from prior year)

Humanoid Robots as Co-Workers: The Influence of AI on Other Tech

A majority (77%) of technologists agree the novelty of humanoid robots can inject fun into the workplace but over time will become like commonplace co-workers with circuits. Robotics is also a top area of technology over half (52%) of technologists think will be influenced by AI in 2026. Other areas influenced by AI in 2026 will include extended reality (XR), including augmented, virtual and mixed reality (36%); and autonomous vehicles (35%). Meanwhile, the top industries expected to experience the greatest transformation from AI next year will be software (52%); banking and financial services (42%); healthcare (37%) and automotive and transportation (32%).

Policy and Governance Guided by ‘Who Built the AI?’

Policy and governance regarding how and when AI should be used depends on where the AI was built. When asked which statement best describes their organizations’ stance on AI products – built by their company or built by a third party – for work at their company, a majority of technology leaders selected:

Full speed ahead: AI will be integrated throughout the organization and our use policies will align with government regulations, if any exist or are enacted. (49% if company-built AI vs. 40% third-party-built AI)
Everyone follows the rules: We will be issuing clear policies on how and when AI can be used. (26% company-built AI vs. 33% third-party built AI)

The stage technologists expect their organization to be in the adoption of generative AI in 2026 has advanced significantly:

(39%) Using Regularly, But Selectively: Generative AI will continue to be a regular part of our work in selective areas, and adds value. (+20% from prior year)
(35%) Rapidly Integrating, Expecting Bottom Line Results: AI will continue to be integrated throughout all our operations. We’ve already seen measurable bottom line results and expect these to grow.

The top uses for AI applications technology leaders expect in 2026 includes:

(47%) Real-time cybersecurity vulnerability identification and attack prevention (-1% from prior year)
(39%) Aiding and/or accelerating software development (+4% from prior year)
(35%) Increasing supply chain and warehouse automation efficiencies (+2% from prior year)
(32%) Automating customer service (+4% from prior year)
(29%) Powering educational activities such as customizing learning, intelligent tutoring systems, university chatbots (-10% from prior year)
(23%) Accelerating disease mapping and drug discovery (-3% from prior year)
(22%) Automating and/or stabilizing utility power sources (-3% from prior year)

More than half of those surveyed (51%) cited 26-50% of jobs across the global economy will be augmented by AI software in 2026, while less than one-third (30%) cited 51-75% of jobs, (16%) cited 1-25% of jobs, and only (4%) cited 76-100% of jobs.

Close to half of technologists (49%) think it will take 5-7 years to build out the global data center infrastructure required to meet growing AI development and demand. One-third think it will happen sooner, in 3-4 years, while 10% think it will not happen for 8-10 years or more.

Day 2 of the Gartner IT Symposium/Xpo 2025 delivered major insights into the future of AI, autonomous business, and IT spending. Key discussions covered why GenAI projects fail, the evolving landscape of global AI regulation, the transition toward autonomous business, and crucial considerations for AI and GenAI contracts.

Key Announcements

India’s IT Spending Forecast

• Gartner predicts India’s IT spending will surpass $176 billion in 2026, highlighting accelerated digital and AI-driven transformation across industries.

Top Reasons Why GenAI Projects Fail And How to Fix Them

Speaker: Arun Chandrasekaran, Distinguished VP Analyst, Gartner

Enterprises are under pressure to demonstrate measurable value from GenAI pilots. Chandrasekaran outlined common pitfalls and how organizations can avoid them.

Key Takeaways

• “The biggest risk with GenAI today is not taking any risk or waiting for the dust to settle.”

• Reason 1: GenAI alone may not deliver optimal results—use composite AI combining multiple techniques.

• Reason 2: Avoid tech obsolescence by building composable architectures and ensuring AI-ready data.

• Reason 3: Don’t treat responsible AI as an afterthought; embed it at the core of all initiatives.

• Reason 4: Invest in data and AI literacy through hands-on training that emphasizes both understanding and application.

The State of AI Regulation: Building a Unified Strategy

Speaker: Anushree Verma, Sr Director Analyst, Gartner

With AI laws emerging rapidly worldwide, organizations must navigate varied compliance frameworks without slowing innovation.

Key Takeaways

• “Most AI laws share a common structure… defining AI, assigning risk tiers, and outlining obligations.”

• High-risk AI systems require strong risk management programs to monitor, track, and mitigate risks.

• Ensure the quality of data used in training and inference for high-risk systems.

• Establish human oversight mechanisms to detect and address abnormal system behavior.

• Launch AI training programs so teams working with high-risk AI understand compliance requirements and can spot issues.

Autonomous Business: The Next Phase After Digital Business

Speaker: Kristian Steenstrup, Distinguished VP Analyst, Gartner

As AI reshapes products, customers, and operations, Steenstrup outlined the shift toward autonomous business—the next frontier after digital transformation.

Key Takeaways

• “Autonomous business is a force multiplier… enabling business innovation beyond traditional leadership.”

• Build an augmented workforce using AI-driven adaptive training to accelerate learning.

• AI-powered products will redefine customer expectations; leverage automation to unlock new revenue streams.

• Prepare for machine customers—AI agents engaging in transactions.

• The programmable economy will monetize new value forms; fintech adoption will be central.

Addressing Risks in AI and GenAI Contracts

Speaker: DD Mishra, VP Analyst, Gartner

GenAI introduces unique contractual risks related to data usage, responsible AI, and evolving pricing models.

Key Takeaways

• Ensure vendors clearly define data access, use, and responsible AI practices.

• Monitor market changes, as rising adoption and shifting pricing models can complicate contracts.

• Buyers should push for transparent, predictable pricing, as vendors often do not offer it upfront.

• Play an active role in shaping future standards by demanding greater transparency and risk mitigation from vendors.

End of Day 2

That wraps up Day 2 of the symposium. You can explore the agenda for Day 3 on the event website. If any session interests you and you’d like deeper insights, we can facilitate an interaction with the respective Gartner analysts.

AppsFlyer Announces Major Release of Eight New Products to Advance Growth Measurement, AI Automation, and Data Collaboration

SINGAPORE, Nov 19: AppsFlyer, announced the launch of eight new products designed to help businesses transform complex data into clarity and growth. The announcement underscores AppsFlyer’s evolution from mobile attribution pioneer to Modern Marketing Cloud that breaks down silos across omnichannel measurement, deep linking, data collaboration, and autonomous AI workflows to enable brands to make smarter decisions, faster.

“The Modern Marketing Cloud represents the next evolution of our mission, uniting measurement, data collaboration, and AI into one trusted, privacy-first platform.” said Oren Kaniel, CEO and Co-founder of AppsFlyer. “For over a decade, we’ve helped marketers adapt through the mobile and privacy revolutions. Now, in the AI era, we’re empowering them to go beyond optimization, to achieve truly autonomous growth.”

As part of this release, AppsFlyer introduced new products across its four suites, including:

Agentic AI Suite: AppsFlyer’s execution layer for marketing intelligence, combining an AI-ready data foundation, always-on pre-configured agents, and the Model Context Protocol (MCP) for building custom autonomous agents. The MCP layer supports leading large language models, including Claude, ChatGPT, Cursor IDE, and VS Code, enabling brands to design and automate any agentic workflows they need. The suite also includes pre-built AI agents that help marketers spot creative opportunities, surface daily insights, monitor configuration status, and identify performance trends – all built on trusted, privacy-safe data to deliver speed, automation, and agility.

Incrementality for User Acquisition: Quantifying the true incremental contribution of every touchpoint across the funnel. Incrementality for UA works holistically, cross-network and alongside attribution to deliver rigorous lift measurement seamlessly, without manual setup, enabling confident, data-driven investment decisions.

Cross-Platform Journeys & LTV Measurement: A unified omnichannel measurement layer that stitches user journeys across mobile, web, desktop, console, and CTV, delivering accurate ROI analysis, high-value user identification, and insights into long-term customer value.

Signal Hub: AppsFlyer’s new foundation for privacy-safe data collaboration, built for an era of signal loss and data fragmentation. It redefines how brands, partners, and media platforms connect and activate insights across the marketing ecosystem. Built on real-world purchase signals with integrated clean-room and identity-resolution technology, Signal Hub securely combines first-party and partner data to build high-intent audiences and measure performance across mobile, web, and CTV – delivering shared value, measurable performance, and privacy-safe growth across the ecosystem.

Enterprise-Grade Security Package: A new premium security tier adding SAML 2.0 SSO with SCIM provisioning, multi-token governance, extended audit logs with API access, IP allow lists, and granular RBAC, aligned to Zero Trust to streamline lifecycle management, speed audit readiness, and strengthen compliance.

Enhanced Attribution Model: A new anti-fraud attribution model that applies real-time AI behavioral analysis to detect click flooding per attribution, providing clean, trustworthy data, fairness for networks, and scalable growth for marketers.

My Dashboards (AI-Upgraded Dashboards): A redesigned dashboards experience that consolidates Activity, LTV, Cohort, SKAN, and SSOT views. With natural-language queries and an embedded AI assistant, teams can surface insights instantly without BI dependencies, turning dashboards into an interactive decision partner.

Creative Management Hub: The central hub for storing, managing, analyzing, and deploying creative assets. Built on AppsFlyer’s Creative Optimization suite, it unifies import, optimization, and distribution into one automated system, helping marketers eliminate manual work, accelerate time-to-launch, and scale creative insights with AI-powered scoring and recommendations.

For more than a decade, AppsFlyer has been the trusted leader in mobile attribution, empowering over 15,000 businesses worldwide – from startups to global giants. These eight new products mark the next chapter in AppsFlyer’s story, setting the pace for the future of marketing where data, AI, and collaboration drive growth at scale.

“These products were built hand-in-hand with our customers and partners, tested across industries and regions over the past several months,” said Barak Witkowski, Chief Product Officer at AppsFlyer. “Seeing how they’ve already helped brands identify new opportunities, maximize efficiency, and adapt to the AI era gives us tremendous confidence in what’s ahead.”

Bengaluru, Nov 19th : Biz Staffing Comrade Pvt Ltd, a renowned name in the HR realm which provides a wide range of recruitment and selection services to diverse companies released the results of its survey held at the HR Conclave recently. As artificial intelligence moves to the core of enterprise transformation, 59.1 percent of HR leaders believe that lack of trust in AI-driven decision-making is the single biggest barrier to its adoption. 27.3 percent pointed to insufficient communication and change management, indicating that many organisations are struggling to articulate the purpose, impact and expected outcome of AI adoption. 9.1 percent stated leadership hesitation or lack of clarity reflecting uncertainty at the top level around how to steer AI initiatives. While only 4.5 percent cited fear of job loss – challenging the popular belief that resistance to AI is driven by job insecurity.

The insight emerged from Biz Staffing Comrade’s HR Leaders’ Roundtable on “The Human Enterprise in an AI World” moderated by Achyuta Ghosh, Executive Research Leader at HFS Research, which convened more than 30 senior HR and Talent Acquisition leaders from India’s leading product and technology organisations. During the event, several questions were posed to the HR leaders to gain insights into their views on various strategic topics. The dialogue revealed that while Indian enterprises are keen to embed AI into their operations, trust and transparency – not technology – are emerging as the true markers of readiness.

This data challenges a long-held assumption that employee resistance to AI stems from anxiety about automation. Instead, the barrier appears to lie in opacity and unclear communication – a pattern reflected in global studies showing that while AI capability has accelerated, confidence in its governance and explainability still lags behind.

AI Ambition Is High, But Execution Still Trails

While optimism around AI adoption runs high, readiness to scale AI transformation remains limited. Only 8 percent of HR leaders said their organisations were fully prepared and already scaling human + AI collaboration. Around 40 percent described themselves as partially prepared, experimenting in select functions, while 44 percent said they were at the pilot stage with limited adoption. Another 8 percent admitted they had not yet started and were still evaluating possibilities.

These findings place India’s readiness curve close to the global average, where most organisations remain in early or partial stages of adoption. While global enterprises are investing heavily in automation, true differentiation increasingly lies in human capability. For India, this presents an opportunity to convert its demographic and digital strengths into sustainable AI maturity.

Jasvinder Bedi, Managing Partner at Biz Staffing Comrade, said that the focus must now move from intent to implementation. India’s AI opportunity is massive, but it needs speed, structure, and leadership clarity to translate ambition into real adoption.

Building Capability, Not Just Hiring Talent

A key shift highlighted during the roundtable was the move from hiring for skills to building them internally. 38 percent of leaders said upskilling existing employees on AI, related competencies had become their top workforce priority. 25 percent were focused on hiring AI or data specialists, while 21 percent said they were restructuring roles to promote deeper collaboration between humans and machines, and a minority of 16 percent suggested that it is still too early to determine the impact of AI on talent priorities. 

This marks a clear reorientation in talent strategy – from “buying capacity” to “building capability.” As AI continues to redefine work, organisations are realising that learning agility has become their strongest competitive edge. Globally, enterprises are shifting from one, off training programs to continuous learning ecosystems that keep pace with constant change.

Puneet Arora, Managing Partner at Biz Staffing Comrade, said

“the shift reflects a deeper evolution in leadership mindset. “Upskilling is no longer an HR initiative – it’s a core business priority. The key to success lies in building a resilient and adaptable workforce, equipped with the skills and mindset to thrive in a rapidly changing world.”

Legacy inefficiencies threaten transformation

The discussion also underscored how enterprise debt, the accumulated inefficiencies of legacy systems and siloed processes, continues to slow AI adoption. Many organisations are finding that automation exposes structural weaknesses rather than eliminating them. Globally, such inefficiencies are estimated to represent trillions of dollars in lost productivity each year.

The roundtable concluded that AI may redefine the structure of work, but humans will continue to define its purpose. Technology can deliver efficiency, but enduring value will come from trust, adaptability, and inclusion. Participants agreed that the next decade will not be defined by how fast machines learn but by how wisely humans adapt. Organisations that combine transparency with technological capability, and empathy with efficiency, will lead this new phase of human + machine collaboration.