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Human + AI: Redefining the Future of Contact Centers If your contact center AI strategy is measured only by cost reduction, you’re already behind. The future of contact centers isn’t automated—it’s augmented. And the organizations winning with AI understand why humans still matter most. For years, contact center transformation has focused on efficiency—reducing handle time, improving adherence, and automating repetitive work. AI has accelerated these efforts, but the real opportunity lies beyond automation. The next era of contact centers is not about replacing humans with machines—it’s about redefining work through Human + AI collaboration. AI delivers its greatest value when it augments human judgment rather than replaces it. Technologies such as speech analytics, large language models, and real-time intelligence enable agents to handle more complex interactions, supervisors to coach with precision, and leaders to make faster, data-backed decisions. This shift moves contact centers away from reactive service models toward proactive, insight-driven CX organizations. As AI becomes embedded in daily operations, traditional roles evolve. Agents move from script-followers to skilled problem-solvers supported by real-time guidance and contextual insights. Supervisors shift from monitoring metrics to coaching outcomes. Quality and performance teams evolve from manual sampling to full-coverage, real-time evaluation, unlocking consistency, fairness, and faster improvement cycles. CX leaders gain predictive visibility to anticipate customer issues and operational risks before they escalate. One of the most powerful examples of this evolution is AI-powered performance management. By replacing lagging scorecards with continuous intelligence, organizations align agent experience, customer outcomes, and business goals in real time. Successful Human + AI transformation requires more than technology. Organizations must redesign operating models, invest in reskilling, and establish governance frameworks that build trust with employees. AI must be transparent, explainable, and embedded directly into workflows. The future contact center is not automated—it is augmented. AI elevates human capability, enabling contact centers to deliver better experiences for customers while creating more meaningful, empowered roles for employees. Human + AI: Redefining the Future of Contact Centers January 9, 2026 AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency AI isn’t just a buzzword anymore. It’s… Read More → AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency December 29, 2025 AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency AI isn’t just a buzzword anymore. It’s… Read More → Why Treasury Teams Must Embrace Digital Transformation in 2026 December 29, 2025 Why Treasury Teams Must Embrace Digital Transformation in 2026 In 2026’s fast-moving financial landscape, treasury teams that fail to modernize… Read More → The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →

AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency AI isn’t just a buzzword anymore. It’s reshaping how legal departments operate, particularly within corporate and inhouse teams. Instead of relying solely on digital tools like shared drives or static templates, forward thinking legal teams are embedding AI into their workflows to save time, reduce risk and focus human expertise on justice. This shift isn’t just evolutionary, it’s transformative and the numbers back it up. In-house legal teams are adopting AI at a pace few anticipated just a few years ago. Around 72% of in-house legal professionals currently use AI tools in their work, outpacing many traditional law firm counterparts as they seek greater speed and accuracy in high-volume tasks. This trend reflects a broader wave of legal tech investment which is about 84% of legal professionals either using or planning AI adoption by 2025. A dramatic shift from just a few years ago when AI was considered experimental.  One of AI’s biggest impacts is on contract review and management, historically one of the most time consuming activities in legal workflows. In-house teams often deal with hundreds and thousands of contracts annually. According to recent surveys, AI integration for contract reviews has grown by roughly 75% year with nearly two-thirds of legal departments exploring AI solutions to handle extensive workload more efficiently. By automating routine contract analysis and risk flagging, teams can dramatically reduce turnaround times and allocate human expertise to negotiate and form strategies.  Beyond contracts, AI speeds up other core legal functions as legal research, document summarization and compliance monitoring. More than 60% of legal professionals report using AI for these tasks and many teams say they save significant time; freeing up weeks of work hours that would have been spent manually sifting through statutes, case law and internal documents. These efficiencies aren’t just anecdotes, they translate into measurable business value. For instance, Forrester commissioned study found that corporate legal departments deploying advanced AI platforms like Lexis+ AI achieved a 284% return on investment over 3 years with technology paying for itself in under six months and generating over $1.2 million in cost savings and benefits.  AI isn’t replacing lawyers, it’s augmenting and assisting them. Instead of lawyers acting as data processors or document revisors, AI handles repetitive pattern based tasks while lawyers apply judgment, strategy and expertise to do real case work. In-house legal teams are evolving into true business partners advising on risk, strategy, compliance and corporate governance. A staggering 96% of In house legal professionals expect AI to be integrated into their departments within the next five years and 86% already report improved efficiency where AI is used currently.  This shift has also driven cultural and workflow changes. Departments are rethinking about traditional linear processes where work is passed task by task and are considering integrating AI into daily operations. This means embedding AI into contract lifecycle management systems, legal research platforms, compliance dashboards and risk scanning tools so that insights are delivered at the point of need rather than as after-the-fact reports.  The adoption of AI legal functions requires governance,quality control and ethical guardrails. Legal teams must ensure outputs are accurate, compliant and secure especially given the sensitivity of legal work. But when implemented thoughtfully, AI becomes a force multiplier, turning in-house legal from a cost center into a strategic engine of operational efficiency.  In today’s competitive business environment, the legal departments that embrace AI intelligently with governance, training and integration end up redefining their workflows for speed, accuracy and impact. The future belongs to legal teams that don’t just digitize; They AI-power their work.  AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency December 29, 2025 AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency AI isn’t just a buzzword anymore. It’s… Read More → Why Treasury Teams Must Embrace Digital Transformation in 2026 December 29, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →

Why Treasury Teams Must Embrace Digital Transformation in 2026 In 2026’s fast-moving financial landscape, treasury teams that fail to modernize risk being sidelined. Once seen as a purely operational back-office function, treasury is rapidly evolving into a strategic driver of enterprise performance and digital transformation is the engine behind the change. From AI-driven forecasting to real-time liquidity insights and automated compliance, technology is reshaping how treasury operates, creates value and manages risk. Digital transformation isn’t optional, it’s imperative. According to HSBC’s Treasury Pulse Survey, nearly half of the treasury teams cite technology adoption as a top priority for 2026, alongside traditional goals like cost reduction and financing optimization. This reflects a broad consensus that smarter systems are vital to meet modern business demands.   At its core, digital transformation enables treasury teams to move away from manual spreadsheet-driven processes that are slow, error-prone and poorly suited for real time decision-making. Today’s treasurers have access to a suite of technologies including automation, AI, machine learning and cloud platforms. These tools not only reduce workload but unlock new capabilities.  AI and predictive analytics are game changers. These tools allow treasury teams to analyse massive datasets, something which takes a longer time period with traditional methods. Moreover, these tools generate forward looking insights into cash flow trends, liquidity needs and risk exposure. This shift from reactive reporting to proactive forecasting means treasurers can anticipate market shifts, optimize working capital and advise leadership with confidence.  Automation and robotics play similar transformative roles. Routine repetitive tasks such as reconciliation, data entry and reporting can now be handled by Robotic Process Automation (RPA) and other intelligent software, freeing treasury professionals to focus on strategy rather than spreadsheets.  Digital transformation also supports better risk management which is a core treasury mandate. Real time visibility into cash positions across subsidiaries and geographies enables faster responses to volatility. APIs and integrated systems break down data silos, allowing treasury to react instantly to changing conditions rather than relying on delayed reports.  Regionally, these trends are playing out quickly. In India, for example, an EY survey found that 82% of treasury leaders view AI as critical to their operations and over half rank automation as a top investment priority. These leaders are not just experimenting; they are actively deploying AI for cash forecasting, risk analysis and anomaly detection.  Despite all this progress, many treasury teams still have work to do. Reports suggest that a significant portion of teams remain rooted in fragmented manual processes and upskilling talent remains at a gap with technical data skills increasingly essential for success.  Treasury is no longer just about safeguarding cash, it’s about driving strategic outcomes. Digital transformation elevatess treasury to a business partner that contributes to Capital allocation decisions, supports growth initiative and enhances enterprise resilience.   AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency December 29, 2025 AI in legal frameworks: How In-house teams are rewriting their workflows for efficiency AI isn’t just a buzzword anymore. It’s… Read More → Why Treasury Teams Must Embrace Digital Transformation in 2026 December 29, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →

The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in sales, it’s a force multiplier. Over the past 2 years teams that adopted AI thoughtfully have accelerated their work flows, improved forecasting and given sales reps the most valuable commodity: time that they focus on selling products instead of maintaining sheets and logs. The difference between “AI experiments” and “AI that brings in revenue” comes down to how teams integrate the technology into their daily work flow, measure its impact and protect the human relationship at the centre of every deal they close.  The integration of AI has been moving rather fast. Recent industry data shows a major jump in frontline usage with a sharp rise in AI use among sales pros from mid 20% to roughly 40% across the recent years. This number is only projected to increase as many firms adapt to tools that are cost effective and efficient. At the organizational level, many firms are still considering the integration of AI and curiosity is palpable. A survey conducted by McKinsey’s State of AI suggests that a large number of companies are experimenting with AI agents and scaling revenues.  What high performing teams are doing differently:  Focusing on outcomes rather than features– Top teams don’t buy every shiny AI feature, they map out AI tools to specific outcomes such as faster qualification, higher conversion rates, fewer dead leads and measure it. They run A/B tests and monitor downstream metrics, pipeline conversions, sales cycle length, and rep quota attainment rather than vanity metrics.  Integration of AI into existing workflows– Instead of making sales teams switch to new workflows, winning teams plug AI into CRMs, cadence tools, call coaches and email builders so that tech augments existing actions and enhances the existing workflow with automatic meeting notes, suggested next steps, personalized outreach messages and much more. This reduces friction and increases adoption. Some commonly integrated tools are Gong, Outreach and Salesloft.  Investing in Data Hygiene– AI is only as good as the data it consumes winning organizations priorities clean CRMs, standardized opportunities stages and reliable activity logging so that predictive models and coaching engines deliver accurate recommendations. Gong and Clari reports repeatedly highlight data quality as core to realizing AI’s promise.6 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →

Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods built on intuition, manual follow ups and fragmented data will no longer be enough to stay ahead of the competition in the competitive market. Buyers are more informed, sales cycles are longer and decision makers expect personalized, value driven conversation from the very first interaction. This is where artificial intelligence moves from being “an accessory” to an absolute necessity for modern sales teams.    One of the biggest challenges sales teams face today is information overload. Sales reps and teams deal with thousands of data points such as CRM entries, email conversations, call logs, LinkedIn interactions and customer behaviour signals. Artificial intelligence powered tools help cut through this noise by analysing big volumes of data in real time and surfacing what actually matters. In 2026 high performing value driven sales teams will rely on AI to prioritise leads and recommend the next best course of action; allowing the sales reps to focus on selling rather than sorting out data.  AI is also transforming lead qualification and forecasting accuracy. Instead of relying on static scoring models or gut instincts, AI systems analyse historical deals, behaviour patterns and engagement levels to predict the prospectus of the most likely leads to convert into full fledged sales. This improves workflow quality and gives sales leaders clearly visible advantages into revenue forecasts. As markets become more volatile the ability to forecast potential sales accurately will be a competitive advantage that only AI driven sales teams will use.  Another critical reason why  sales teams need AI in 2026 is personalisation at scale. Buyers expect tailored messaging that speaks directly to their industries, roles and challenges; instead of vague generic responses that free AI models or automated messages offer. AI helps sales teams to craft hyper personalized outreach messages by analysing customer data, previous interactions and the market context. From personalized email sequences to intelligent content recommendations, every interaction feels relevant, timely and valuable even when the team is engaging with hundreds and thousands of prospective clients simultaneously.  AI also plays a key role in coaching and performance improvement. Modern AI tools analyse sales calls, meetings and demos to identify patterns in top performing products’ behaviours. They provide actionable feedback on tone messaging, objection handling and closing techniques. By 2026 AI driven coaching will become a standard part of sales induction programs at major companies, helping teams continuously improve without relying on manual reviews or sporadic training sessions.  Also allows sales teams to sell smarter instead of harder. Automation of tasks like data entry, follow ups, scheduling and reporting frees up a lot of time for the sales teams to help them focus on the one thing that matters the most, SELLING!. In a new emerging world where buyers go for trust and expertise instead of aggressive sales pitches, this shift is essential.  AI will never replace sales professionals, it is a tool to help them get bigger clients, amplify their reach and store information in a systematic manner. Sales teams that adapt to the use of AI models will have more time and resources to build stronger relationships with clients, chart out new territories to enter with their product and also get a fair understanding of how their product is performing in the market.     The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →

AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer attention has never been more dynamic, sales leaders are increasingly turning to artificial intelligence (AI) to add precision, speed and insight to their sales strategies and techniques. The AI-Driven Sales Excellence Virtual Summit, to be hosted by Techsommet shall bring forth this transformation on 28th of January 2026, offering an immersive online experience aimed at empowering revenue teams across the EMEA region and beyond.  Traditional sales playbooks are rapidly being disrupted by AI-powered tools that can predict customer needs, automate time consuming tasks and personalise customer interactions at scale. This summit serves as a convergence point for thought leadership and innovation, offering attendees a deeper understanding of how to harness AI responsibly while fostering human-centric customer relationships. The emphasis on ethical AI, adoption frameworks and change management highlights the importance of balancing technology with trust and organizational readiness.  AI-Driven Sales Excellence Virtual Summit is a one day program dedicated entirely to exploring how AI technologies can be infused in refining sales practices; from lead generation and consumer engagement to predictive trend analytics and ethical deployment. As organizations navigate a rapidly evolving marketplace, the summit will try to teach practical ways of using generative AI and automation technologies that will help companies to upgrade their sales workflows and deliver with a competitive advantage by their side. The summit consists of expert keynotes, panel discussions and real world case studies that will help the attendees to better understand how they can integrate AI tools into sales operations for measurable impact.  The session is a must attend for senior sales and revenue professionals, Business Development Strategists, Vice Presidents of sales, Head of Intelligent Automated, Sales Operations Leaders, Vice Presidents of Sales and anybody who wants to upgrade their sales skills and maintain relevance in a dynamically changing market. With Industry Professionals tuning in from sectors like telecommunications, e-commerce, SaaS and financial services, the event addresses the challenges, opportunities and the nitty gritties of deploying AI across diverse business landscapes. The session will be held on 28th January 2025 at 12:00 PM CET and will be attended by professionals from all over the world. The eliminated travel barriers opens a broad participation opportunity for tech and revenue leaders to future proof their sales strategies.  The AI-Driven Sales Excellence Summit is an attempt by Tech Sommet to not just share knowledge but help organizations build a blueprint for the future of modern selling. For any sales leader looking to harness the power of AI, the summit is a one stop solution to get actionable insights which can directly help them scale their operations  in the ever-evolving world of revenue growth.  The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! December 18, 2025 The Rise of AI-Driven Sales: What High-Performing teams are doing differently and RIGHT! AI is no longer a novelty in… Read More → Why Sales Team Needs AI in 2026 December 18, 2025 Why Sales Team Needs AI in 2026 The sales landscape is chasing faster than ever. By 2026, traditional sales methods… Read More → AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 December 18, 2025 AI Driven Sales Excellence: How TechSommet Shaped the Future of Sales in 2026 In a world where competition for customer… Read More →