Thread regarding TIAA (TIAA-CREF) layoffs

Sastry’s Spin About Accenture

This PR story by Sastry appeared in Fortune recently. Fact check this & weigh in with your comments:

AI Won’t Fix A Broken Company. Rewiring it will

By Sastry & M. Sharma

“Every CEO wants to talk about AI’s magic. Almost none want to talk about the boring problems standing in the way.
Picture a railroad that spends billions on the fastest trains in the world, then runs them on the same aging rails. The trains aren’t the constraint. The tracks are. That’s the uncomfortable truth for most enterprises deploying AI today: the technology has never been more powerful, yet only a fraction of companies turn it into measurable business impact. The rest are stacking agents on top of decades of legacy IT, siloed data, and broken workflows, which doesn’t accelerate the business. It just automates the dysfu.ckson. We know this firsthand. Nearly two years ago, our organizations partnered to modernize TIAA’s recordkeeping infrastructure. TIAA is 108 years old and carries the technical debt to prove it. Before we could scale AI, we had to rebuild the foundation underneath it, cleaning data, retiring outdated systems, and redesigning how work actually flows. The payoff: plan sponsors can now change investment options for employees’ retirement plans in days instead of weeks, and digital engagement across TIAA’s millions of participants has risen 13%. None of that came from a flashy AI demo. It came from the unglamorous work most companies skip.

That’s the real story of this moment: AI transformation isn’t a technology project. It’s a business transformation, a change-management project, and an operating-model rebuild that happens to run on AI. Companies that treat it as a tech bolt-on will spend years chasing pilots that never scale.
Here are five focus areas we believe separate the enterprises pulling ahead from those stuck in perpetual pilot mode, and the actions leaders should take now.

  1. Modernize the digital core before you scale agents. Don’t layer AI on top of legacy systems and hope for the best. Audit which platforms are actually load-bearing, retire the rest, and rebuild the infrastructure agents will run on. AI amplifies whatever foundation it’s given, good or bad.
  2. Treat data readiness as a prerequisite, not an afterthought. Only 5% of businesses say their data is AI-ready, and Gartner predicts 60% of AI projects will be abandoned through 2026 for lack of AI-ready data. The fix isn’t more data, it’s a unified, governed platform with quality pipelines that structure what you already have before it ever reaches a model.
  3. Redesign the workflow, not just the task. Automating a broken process just makes it fail faster. Map the end-to-end workflow first, then decide what AI should touch. Apply an 80/20 lens to every role: some jobs will change 20%, others 80%, and the people doing the work are best positioned to say which is which.
  4. Keep humans in the loop where trust is the product. When a 73-year-old retiree calls to make a decision about their life savings, that moment requires a different level of care than a chatbot can offer. Put AI in employees’ hands first to make them faster and better, TIAA has rolled out its own generative and agentic platform, GAIT, to 85% daily adoption among colleagues, while reserving high-stakes, high-trust interactions for humans augmented by AI, not replaced by it.
  5. Build for resilience, governance, security, and optionality. Stay tech- and model-agnostic so you’re not betting the enterprise on a single frontier lab’s roadmap. Strengthen third-party and cyber defenses as attack surfaces grow, and build audit trails and human oversight into the orchestration layer itself, especially in regulated industries where compliance can’t be an afterthought.
    None of this is glamorous. It won’t generate a headline about a breakthrough demo. But the enterprises winning with AI aren’t the ones with the biggest budgets or the fastest adoption, they’re the ones disciplined enough to do the boring work first: clean data, a modernized core, and workflows rebuilt for how AI actually works, not how it’s marketed.

In the AI era, complexity is a competitive disadvantage that can no longer be hidden behind a sizzling AI experience. The tracks determine how fast the trains can go. Enterprises that rewire the foundation now, not just the technology sitting on top of it, are the ones that will still be running at full speed five years from now.”

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune, TIAA, Accenture, clowns, or goons


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Post ID: @OP+1m0gxjydh

6 replies (most recent on top)

@19g clients want to do business with companies who are easy to do business with. Make it easy to send & deposit $ with us. Make it easy to take $ out. Multiple channels of communication to answer questions & resolve issues. Most companies fail to address the client facing experience & only address internal operations to save money & to implement Salesforce workflows. They misjudge & make the mistake of believing that solving internal operations workflow challenges are the same as making it easier for clients to do business with us and that is exactly why Sastry, the EC, T-Duck & the Board are getting it all wrong.

Dipshiites

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Post ID: @1dh+1m0gxjydh

I will never forget sastrys statement made via zoom call “our clients don’t like us because we don’t have straight thru processing”. This was made to 1,500 of us who were notified that our jobs were being moved to Accenture. I agreed with sastrys statement. I did not agree with his approach to fixing the systems which made the task even more different. He kicked out knowledgeable consults from cts because acn and cts are enemies. He moved retained Tiaa employees to new development projects leaving the legacy systems in the hands of new acn personnel and new Tiaa personnel who had no business knowledge of Tiaa legacy systems Sastry should have fixed the legacy heavily customized systems that made straight thru processing so difficult I saw tt day when clients were made to wait unnecessarily for data fixes needed in the feeding systems sastry did identify the problem correctly but his approach to fixing it was flawed

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Post ID: @19g+1m0gxjydh

@OP

Take a look at this ! This was in CIO Magazine. Marcella Gift’s Wistleblower complaint & lawsuit has the Executive Committee, Board, T Duck, scared shiiteless ! Take a look at this BS !

Inside TIAA’s massive IT transformation to fuel business growth

Phase two of the financial services company’s large-scale IT modernization blends a business-first focus to delivering new products with a tenacity for cutting down tech debt.

When Sastry Durvasula joined TIAA in early 2022, he saw an organization fighting against outdated legacy technologies and in need of a major IT refresh.

Since then, the nonprofit has completed two phases of a comprehensive transformation initiative called Technology Ecosystem Transformation, or TETRIS, leading to a huge reduction in tech debt and a major expansion of functionality for customers.

The ongoing project, anchored in cloud and AI technologies, started in 2023 with phase one that modernized the core technology stack with 10 new enterprise platforms. Phase two, launched in late 2024, went further by enabling 87 use cases across all major lines of the business.
The project, for example, allowed TIAA to launch its MyChoice Multi-Year Guaranteed Annuity product, and helped create the TIAA Gateway portal, an API-based suite that integrates with partners in retirement and wealth planning using industry standards.

TETRIS phase one took home a CIO 100 Award in 2025, and phase two received a CIO 100 Award in 2026.

Durvasula, TIAA’s chief operating, information, and digital officer, pitched the multimillion-dollar TETRIS project to the board as a three-pronged strategy, with empowering business growth, fueling innovation, and transforming the IT core as its key goals.

Not only did TETRIS need to modernize the company’s IT systems, decommission legacy processes, and automate other processes, but Durvasula pitched it as the way to expand the reach of TIAA’s products and move the company into the future.

“As you expect in a company of our size, we have problems of yesterday, today, and tomorrow being solved at the same time,” he says.

Focus on business use cases

As TETRIS moved into phase two, project leaders shifted their goals from pure technology modernization to business outcome-driven prioritization. So once phase one delivered needed IT platforms like a data cloud and design studio, TIAA pivoted toward enabling business use cases.
This business-first approach ensured continuing executive support and clear ROI at every key milestone, TIAA says.

In 2022, just before the project launched, more than 80% of TIAA’s IT workloads resided in fragmented, end-of-life platforms, which created operational risk, compromised security and resilience, and constrained its ability to innovate. Through TETRIS phase two, however, the organization has cut that tech debt nearly in half.

And consolidating 17 design systems also led to digital products looking and behaving differently, depending on the team that designed them, and accelerated product launches by 35%, enabled multi-lingual capabilities, and increased accessibility to more than 185,000 customers who don’t speak English.

In addition, TETRIS allowed TIAA to combine multiple middleware systems and data lakes, Durvasula says, and the organization moved mainframe applications and data center infrastructure to the cloud.

A giant leap forward

TETRIS has been a huge project, with the company saying it empowered TIAA to have one of the largest leapfrog moments in company history in its submission for the 2026 CIO 100 Award.

Despite the reported failure rates of large transformation projects — some estimates suggest up to 95% fail to meet their goals — TETRIS was essential to keep TIAA competitive and move it forward in the market, Durvasula says.
A big part of the project has been workflow modernization, he says, because TIAA were using some technologies and workflows that were decades old.

“There’s your classical platform and application rationalization, and then there’s your end-of-support, end-of-life stuff that should’ve been remediated long ago,” he says. “Some of the processes we have, because we’re such a large, old company, were designed when the internet just came along.”

Stick to the metrics

Two keys to pulling off such a large project are establishing metrics for success and transparency with leadership, Durvasula says. Project leaders set milestones to indicate when things went well, and they planned for bumps in the road so the TIAA board knew when setbacks happened.
“Not everything is as pretty as it sounds in an awards application, but the success measures we established with our board were based on both phases,” he says. “For the first one, we said we’d deliver enterprise-grade platforms and accomplish migration objectives, but not tied to any specific business objectives.”

Phase two metrics focused more on business objectives, and the project team kept the TIAA board updated as TETRIS moved forward. Setting realistic goals was important, he says, with the team determined not to overpromise results.

“Large programs have a range of objectives, and if you publish the outcomes you’re looking for, people start looking for them, especially stakeholders, the C-suite, and board,” he says. “You have to be honest about which metrics or KPIs you can deliver in the first and second year, and when you’ll start seeing real business scale and impact, which definitely won’t be that soon in a large program like this.”
Goals also need to be flexible, Durvasula says, so transparency with leadership sometimes means telling them the project needs to reset. “If something doesn’t go well, what’s the level of fungibility you have?” he says. “We pick this tool, but what if it doesn’t work? You need to have a plan B.”

So TIAA’s IT team is heavily focused on flexible systems, and what was contemporary three years ago is probably legacy now, especially thanks to AI.

The power of change management

Another big lesson from a project of this size is the need to focus on change management. Retiring old IT systems requires the organization to bring employees along on the journey and convince them the changes are for the better.
TIAA established a multi-disciplinary team to implement a change management program focusing on breaking down silos and setting common adoption goals across the organization and its lines of business. Stakeholder forms and a huge focus on continuous collaboration helped employees understand the need for the changes.

“It’s a big organizational change,” Durvasula says. “If you’re working on a legacy system, and you think at some point it’s going to be modernized, then you become a legacy talent, and won’t have a job.” But the right change management program can convince these employees they can upskill and bring value to the new systems.

“You can bring your functional knowledge of the business and learn new technical skills,” he says. “It’s a massive culture- and people-change initiative as much as tech initiative.”
TIAA’s change management efforts were also made easier because TETRIS happened at the same time as the recent AI bo-m and involved AI elements. So it wasn’t hard to convince employees they needed to improve their AI skills.

“Because of AI, everybody woke up to this new reality,” he says. “We rode that wave when transformation drove from a cultural and organizational change management point.”

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Post ID: @k2+1m0gxjydh

Leadership at this company is the blind leading the blind. Ask anyone and they could tell you to not do this Accenture deal. We’ve accomplished 0 from it

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Post ID: @jj+1m0gxjydh

@cp ACN emphasizes Salesforce workflows & AI. Organically, this is all stuff we could take on w/the added interference & paying $100M+ to a third party who is located 1/2 the world away. All of these changes we could have done ourselves & better & cheaper all the while saving jobs in the USA.

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Post ID: @e7+1m0gxjydh

He’s so full of sh*t. We’ve had internal folks yelling for years that our applications and process were outdated, our test environments were unstable, and we needed to source better technology. Yet, we had to “partner” in order to modernize. Translation - offload higher salaries, bring in ACN to completely destroy everything and improve nothing, all so he can say “look, we had to tear down the technical debt”

He and TDuck are complete id--ts

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Post ID: @cp+1m0gxjydh

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