QuietGrowth Tech

QuietGrowth Tech is an enterprise AI services company building AI-ready products, web & mobile apps, and custom AI/ML solutions, and upgrading firms for AI.

[QuietGrowth Tech @QuietGrowthTech]

Applied AI is not just about choosing the "best" model. It is about understanding a workflow deeply enough to know which model is best for each job.

Document extraction, legal analysis, customer support, research -- each task in the enterprise has different demands. And a different model may be more efficient for each of these tasks, when performance and cost are considered together. This is definitely an area where a skilled Forward Deployed Engineer brings value.

[QuietGrowth Tech @QuietGrowthTech]

Most AI cost debates miss one uncomfortable truth: a lot of AI usage is still unskilled.

Don’t give people expensive frontier models before they can get strong output from cheaper ones.

The real waste is not the model price. It is using powerful models to produce mediocre work faster.

[QuietGrowth Tech @QuietGrowthTech]

"A harness (often referred to as an AI evaluation framework, orchestration layer, or scaffolding) is just as important as the model itself—and in some contexts, even more so. A model and a harness are quite different. While the AI model acts as the "brain," the harness serves as the nervous system, hands, and guardrails that allow that brain to interact safely and effectively with the outside world."

-- Tren Griffin @trengriffin, Tech leader, May 2026.

[QuietGrowth Tech @QuietGrowthTech]

"If you think about where we were 12 months ago, it was about model dominance... Now it's no longer about model dominance, but the right model for the right use case, factoring in cost performance. Earlier it was about the art of the possible, but that is not the case anymore. It is more about ROI implications."

"Enterprises are realising: "Maybe, you don’t need the fanciest models.""

- Snowflake executives on AI, Jun 2026.

[QuietGrowth Tech @QuietGrowthTech]

AI is a powerful tech, but AI spend does not automatically translate into AI value for an enterprise.

Spending money on AI without making clear effort on how to utilise AI tech can lead to weak ROI on AI investments. The better approach for enterprises to take the guidance of AI experts and involve them in the enterprise's AI activities.

[John Cassidy @JohnCassidy]

First it was MIT and McKinsey. Now Bain finds that returns to corporate AI investments are disappointing.

[QuietGrowth Tech @QuietGrowthTech]

AI is a powerful tech, but AI spend does not automatically translate into AI value.

Spending money on AI without making clear effort on how to utilise AI tech can lead to weak ROI on AI investments. The better approach for enterprises to take the guidance of AI experts and involve them in the enterprise's AI activities.

[QuietGrowth Tech @QuietGrowthTech]

Before companies deploy AI agents, they need to extract the context locked inside the organisation.

AI agents do not just need access to company data. They need access to company context.

Companies often underestimate how much critical operating context still lives in people’s heads. Decisions, processes, exceptions, workflow logic, and tribal knowledge need to be captured and converted into usable unstructured data before AI agents can work effectively.

We at QuietGrowth Tech will work with you during this crucial process.

[QuietGrowth Tech @QuietGrowthTech]

"Existing" big IT service companies are not able to capture the potential new market quickly. This is more to do with their own inability to provide the exact service that enterprises are wishing for.

One needs to see which IT services firms (big or small) will be able to effectively capture the newly emerging market. Looks like, Anthropic and OpenAI themselves will have a sizeable share in that pie too.

[QuietGrowth Tech @QuietGrowthTech]

"A common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable."

-- Andrew NG @AndrewYNg; Former Head of Google Brain.

To mitigate this concern, we at QuietGrowth provide you with vendor-neutral FDEs.

[QuietGrowth Tech @QuietGrowthTech]

Bajaj Finance was one of the first movers among the bigger enterprises in India to lead initiatives to transform their enterprise with AI.

[Rahul Mathur @Rahul_J_Mathur]

Rajeev Jain (MD of Bajaj Finance) spends 4 days per month focused on AI initiatives.

His direct reports also spend cumulatively 17% of their time dedicated to AI.

This disclosure was made during Bajaj Finance’s roadshow in Singapore earlier this month.

Bajaj Finance clearly laid out its FinAI strategy in December 2024. Fast forward to today:

> AI contributed ~7% to new AUM in FY26

> 30% of outbound call center volume handled by AI agents

> 200+ member team focused on AI deployment in Bajaj Finance alone

[QuietGrowth Tech @QuietGrowthTech]

Same dynamic among enterprises! Those enterprises that do not become AI-ready will be left out!

[Itamar Golan 🤓 @ItakGol]

Men in their 40s used to have cool midlife crises… now they just have agentic workflows.

Bought a Claude subscription instead of a Porsche lmao.

[QuietGrowth Tech @QuietGrowthTech]

41 stocks are identified as AI-related companies by JP Morgan's Michael Cemblast. Below is the calculation.

2/n

[QuietGrowth Tech @QuietGrowthTech]

A dynamic that no enterprise should ignore: nearly 49% of the S&P 500's market capitalization is now concentrated in AI-related stocks.

A good reason for every serious enterprise to take initial steps towards being at least AI-ready by improving their data layer and context layer.

1/n

[QuietGrowth Tech @QuietGrowthTech]

Now that we have powerful AI coding models, this is the best time to refactor the codebase, a long-pending activity that your enterprise has been postponing for years! Make those pending library upgrades. Now, not working fast with AI to drastically reduce the tech debt is poor technical leadership. Reducing tech debt has never been cheaper and faster.

[QuietGrowth Tech @QuietGrowthTech]

We suggest to set up a focussed "AI monitoring team" in an enterprise led by at least one AI expert. The AI expert can be a external FDE/consultant or an internal employee. An important task of that team is in guiding the enterprise employees in the judicious and meaningful usage of AI tokens.

[QuietGrowth Tech @QuietGrowthTech]

A cool meme that aptly shows the importance of guiding the employees of an enterprise in the judicious and meaningful usage of AI tokens.

[Justine Moore @venturetwins]

Me using Claude Opus 4.8 to rename a file

[QuietGrowth Tech @QuietGrowthTech]

"A major topic that keeps coming up in talking to CIOs across enterprises of all sizes and industries is the implementation gap for getting agents to work at scale and organizations on mission critical work.

As the task goes from implementing a chat system that’s basically an LLM plus search, to connecting to real production systems that both can deliver meaningfully better productivity gains but also introduces meaningfully more risk, a whole new set of work has to be done.

You have to ensure the right level of protection of data, updates to access control controls, migration of legacy systems to common modern platforms, create observability across what agents are doing, implement new workflows, figure out the human in the loop moments, drive the change management of the new workflows, and more."

-- @levie , Box, May 2026

#AI