\n India’s wealth industry is growing quickly enough that the constraint on expansion may prove to be human rather than technological. Firms can buy systems, but they cannot buy experienced people at the same speed, and the roles those people occupy are themselves beginning to change as automation moves further into the middle and back office.
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\nAt the Hubbis India Wealth Management Forum 2026 in Mumbai, the fourth panel discussion of the day, chaired by Garett Stanhope, Senior Associate at Hubbis, examined whether the technology underpinning India’s wealth industry can keep up with the rate of its growth. Srutaban Mukhopadhyay, Chief Executive Officer of Valuefy, brought an enterprise and institutional perspective to the discussion, returning throughout to questions of sequencing: getting the data right before the reporting, the process right before the technology, and the people ready for roles that will not look the same in a few years’ time.\n <\/p>\n
Key Takeaways<\/p>\n
\n\tTalent Is the Bigger Constraint: Mukhopadhyay suggested that a shortage of skilled people may become one of India’s most significant wealth management challenges, and that technology will only partly bridge it.
\n\tPrevention Beats Correction: In his view, modern platforms should validate data quality at the point of input rather than discovering errors downstream.
\n\tProcess Is Frequently Missing: He observed that firms often collect data without a clear view of how it will be used or whether it is fit for purpose.
\n\tOperations Roles Will Evolve: He argued that operations teams are underappreciated and are likely to shift towards solution consulting and operational risk management.
\n\tAudit the Data Before Building the Report: Mukhopadhyay described running an AI-driven data audit ahead of any implementation, on the basis that good analytics will magnify bad data.
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The Constraint Nobody Can Code Around<\/p>\n
Mukhopadhyay entered the discussion early, offering a deliberately different diagnosis from his own vantage point servicing enterprise institutions.<\/p>\n
“The problem is a little different,” he said. “Do we have the right talent to be able to service these family offices? Because the family offices may know what to do, but they need people who will help to achieve that as well.”<\/p>\n
His conclusion was direct. “Shortage of talent is definitely going to be a problem in the future. Indian wealth is going to have faster pace.”<\/p>\n
What made the point notable was his refusal to resolve it neatly with technology, despite being the chief executive of a technology firm. He allowed that platforms would help, saying he hoped some of those on the panel could bridge part of the gap, but was careful not to overstate the case. “I don’t think technology will bridge that,” he said. “There is no replacement.”<\/p>\n
That balance, technology as partial remedy rather than answer, ran through everything he said afterwards.<\/p>\n
Three Things That Have to Line Up<\/p>\n
Asked what a firm actually needs in place to deliver personalisation at scale, Mukhopadhyay structured his answer around three elements. “To answer this question is around people, processes, and platforms.”<\/p>\n
On the platform itself, he described the requirement in terms of data assurance and data quality, alongside the security considerations another panellist had raised. But his more interesting argument concerned where in the workflow quality should be enforced.<\/p>\n
Legacy systems, he suggested, operate on a simple and unforgiving principle. “You put in input, the quality of input that goes in is the quality of output that you have.”<\/p>\n
The alternative he described moves the checkpoint forward. “With technology, you can actually evolve that, where you can go at the time of input itself check the quality of data. Most legacy systems don’t do that.”<\/p>\n
He framed this as preventing error rather than catching it. “How you prevent a person from making a mistake? Always prevention is better than cure. You put in the data, find that it is wrong, and your time is lost.”<\/p>\n
The distinction may sound modest, but the operational implications are not. A system that validates at entry protects everything downstream. A system that validates only at output turns every error into rework.<\/p>\n
Data Without a Purpose<\/p>\n
The second element, process, drew what was arguably his sharpest observation, and one familiar to anyone who has watched a data project accumulate more than it uses.<\/p>\n
“You need to know how the data is used,” he said. “Very often, data is residing over there. You are collating the data, no process as to where we are going to use it, how we are going to use it, and whether it is actually fit for purpose or not.”<\/p>\n
The critique is not of the data itself but of the absence of intent behind gathering it. Firms can build considerable stores of client information without ever establishing what question that information is meant to answer, and fitness for purpose becomes an assumption rather than a test.<\/p>\n
The Quiet Reinvention of the Back Office<\/p>\n
On people, Mukhopadhyay made a prediction that sat somewhat apart from the rest of the panel’s focus on relationship managers.<\/p>\n
“AI is going to change the kind of jobs,” he said, offering his own firm as an illustration of how far that shift can go: “Today, in my firm, we don’t have developers. We are supervisors.”<\/p>\n
He then redirected attention away from the front office. “People talked a lot about RMs. As a person who has been on the front office and the product office side, I have a great amount of respect for people from operations. They are very, very, what should I say, underappreciated.”<\/p>\n
His expectation is that these roles will change in character rather than disappear. “I believe that over a period of time there will be a change in the role of operations as well, who upkeep the systems, and they will become operation solution consultants or operational risk managers.”<\/p>\n
And then the connection back to the front line. “That is the bedrock on which RM productivity will depend.”<\/p>\n
It is a useful corrective. Much of the industry conversation about productivity concentrates on the adviser’s desktop, while the people maintaining the accuracy of what appears on that desktop receive comparatively little attention.<\/p>\n
Analytics Will Amplify Whatever You Feed It<\/p>\n
Asked where the genuine value in AI sits amid the surrounding noise, Mukhopadhyay began by pushing for specificity. “I think we really need use cases that we use in AI.”<\/p>\n
His own firm, he noted, is regarded as a capable implementer in reporting and analytics. That made his central caution more pointed rather than less.<\/p>\n
“Let’s be very clear. A great analytics report will only amplify the error in the data. You get one date wrong in your IRR, you are lost.”<\/p>\n
The example is well chosen. An internal rate of return calculation is unforgiving of a single incorrect date, and the resulting figure will be presented with exactly the same visual confidence as a correct one. As he put it, “I can show a fancy report and show that this is what I’m going to do, but the data doesn’t support it, or the data is not ready.”<\/p>\n
His response has been to build the check into the sequence rather than hope for it. “One of the things that we have done is that before we do any implementation, we run a very strong data on it, and that we use a lot of AI tools to do that data reconciliation, whether the data is sitting well.”<\/p>\n
He described the output of that exercise as a diagnostic rather than a deliverable. “That tool, that data audit tool, tells us the gaps and tells us where quality of data is missing in terms of what you want to show in the reports.”<\/p>\n
The ordering matters to him. “We run an entire data audit using an AI tool before we even start doing any kind of implementation or reporting.”<\/p>\n
There is a certain elegance to using AI on the unglamorous end of the problem in order to make the visible end trustworthy, and it aligns with a view expressed elsewhere on the panel that the most durable gains sit lower down the stack than the marketing tends to suggest.<\/p>\n
Built for Change<\/p>\n
On the closing question of what will separate the firms that succeed over the coming decade, Mukhopadhyay’s answer was brief and concerned adaptability rather than any particular capability.<\/p>\n
Organisations that are consistent in their approach to change, he suggested, are the ones likely to succeed. What matters, in his account, is having change management built into the systems themselves, combined with the right mindset among the people using them.<\/p>\n
It was a fitting note on which to close. Across the session he had argued for validating data at entry rather than exit, for knowing the purpose before the collection, and for auditing before building. The common thread is a preference for designing conditions in advance rather than correcting outcomes afterwards, and his final point simply extended that logic to the organisation itself.<\/p>\n","protected":false},"excerpt":{"rendered":"India’s wealth industry is growing quickly enough that the constraint on expansion may prove to be human rather…\n","protected":false},"author":2,"featured_media":773566,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[142044,142048,142056,142052,142043,142047,142055,142051,142045,142049,142057,142053,142042,142046,142054,142050,84,11912,4176,4174,4175,438,56,54,55],"class_list":["post-773565","post","type-post","status-publish","format-standard","has-post-thumbnail","category-personal-finance","tag-asia-private-banking","tag-asia-private-banking-news","tag-asia-private-banking-online-training","tag-asia-private-banking-training","tag-asia-wealth-management","tag-asia-wealth-management-news","tag-asia-wealth-management-online-training","tag-asia-wealth-management-training","tag-asian-private-banking","tag-asian-private-banking-news","tag-asian-private-banking-online-training","tag-asian-private-banking-training","tag-asian-wealth-management","tag-asian-wealth-management-news","tag-asian-wealth-management-online-training","tag-asian-wealth-management-training","tag-business","tag-e-learning","tag-finance","tag-personal-finance","tag-personalfinance","tag-training","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/773565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=773565"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/773565\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/773566"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=773565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=773565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=773565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}