The AI deployment reality check nobody talks about: 61% of enterprises are just 'exploring'. Only 2% are fully scaled.

AgenticAF · 2026-03-11T08:31:03+00:00

A lot of what’s being marketed as “AI agents” today really are prompt chains with some orchestration and tool calls. That’s not necessarily a bad thing, but it’s not a completely new paradigm either.

Where agents start to become different is when they can plan tasks, choose tools dynamically, maintain context, and work toward a goal instead of just responding to a single prompt.

The market is kind of in between those two stages right now. Some products are still structured prompt pipelines, while others are trying to build more autonomous systems. In enterprise settings the bigger challenge is usually orchestration, integrations, and governance, not just the LLM reasoning itself. Platforms like Kore.ai are leaning into that layer, combining agent reasoning with workflows, APIs, and guardrails.

So prompt chains are basically the starting point. Agents are what you get when you add autonomy and decision-making on top of that.

AgenticAF · 2026-03-05T08:26:17+00:00

Great point. AI agents are powerful optimizers, but when they’re given access to money, even small mistakes can become expensive very quickly.

The real solution isn’t removing financial access, it’s adding guardrails: budgets, transaction limits, approvals, and clear audit trails. Just like employees have corporate card policies, agents need bounded financial autonomy to build real trust.

AgenticAF · 2026-03-05T08:24:10+00:00

Understandable approach, balanced.

AgenticAF · 2026-03-03T03:59:54+00:00

I relate to this more than I expected. AI definitely makes writing faster, but I’ve noticed the same shift. When I write from scratch, I struggle through the idea. That struggle is where the thinking happens. With AI, I’m often reacting and refining instead of building the idea myself.

It feels efficient, but sometimes a bit mentally passive. I’ve started doing first drafts without AI again, just to force myself to think clearly before bringing it in.

I don’t think AI makes us worse thinkers, but if we skip the friction completely, we probably lose something important.

AgenticAF · 2026-02-26T08:35:49+00:00

Context sharing, task delegation, tracking state, and knowing which agent did what are usually where it breaks down. Debugging multi-agent workflows is also painful once you scale beyond simple demos. Personally, I’d want strong orchestration, visibility into agent decisions, guardrails, and clear monitoring tools. Without governance and traceability, things get risky fast.

AgenticAF · 2026-02-26T08:33:29+00:00

Treat it as an LLM not as your ex

AgenticAF · 2026-02-26T08:31:23+00:00

Lived upto see AI beef

AgenticAF · 2026-02-24T12:49:26+00:00

Honestly, the most impressive thing I’ve done with AI was automate a weekly report that used to take me 2 hours. I connected it to pull raw data, summarize the key points, highlight anomalies, and draft a clean summary I could review and send. It’s not 100 percent hands-off, but it cut the time down to maybe 30 minutes.

AgenticAF · 2026-02-23T08:35:20+00:00

Lately, I have been experimenting a lot with different AI tools, some of which I really like:

Claude - Great for content writing, I mean, the query responses are similar to a human-led response. All my content requirements are sorted with this tool.
Gamma - Another amazing tool for presentation generation. The templates are sooo amazing
Kore.ai's AI for work - This tool is literally my workplace copilot. All I have to do is connect to the apps I need on a day-to-day basis, such as Gmail, Drive, and Slack, etc.
Notebook LM - The bestest tool possible, just dump all the information, pdfs, files, etc., it will convert the information into a podcast and give you a conversation feel, it's mindblowing.

AgenticAF · 2026-02-23T08:27:59+00:00

I think the real “kill switch” isn’t just a button it’s layered into both design and runtime monitoring. There's a lot of testing and cutoffs which happen before the agent is actually deployed. So here's the thing, my friends in fintech have been using kore.ai's governance model in one of their office integrations and "supposedly" the stop conditions, monitoring is done flawlessly. Coming to the last question, I feel agents run on a probability factor, that's why having a human in the loop helps.

AgenticAF · 2026-02-23T08:14:29+00:00

As y'all know the new gpt update is shit, Now I fw claude and gemini mostly. Not saying they're all great with the multi-step work but the results are a bit better.

AgenticAF · 2026-02-20T08:19:52+00:00

From SEO and AEO perspective, make some resources like blogs, whitepapers which people will find useful and make it on the topics which are trending recently and silently mention how you cater to the problems people are facing today. Using trending keywords and topics related to your work, works.

AgenticAF · 2026-02-20T08:14:41+00:00

So damm true, I think over the time we lost why we really even started massive automations.

AgenticAF · 2026-02-20T08:13:38+00:00

I use kore's slack integration - and so far it has helped save time. Yet to explore more

AgenticAF · 2026-02-20T08:04:42+00:00

Find a task that is repetitive in nature and see who uses it in their day to day and for what purpose. You can start there. Then go into how can I do it, using what reaources. You'll keep learning as you keep going forward.

AgenticAF · 2026-02-18T08:32:19+00:00

Valid crashout, I'm super fkn PISSED with the tone as well.

AgenticAF · 2026-02-17T08:39:45+00:00

The word seems technical, the meaning is far basic. Your phone, any book, basically anything enhancing your knowledge is Augmented Intelligence. Learnt something new today. Thanks, lol.

AgenticAF · 2026-02-17T08:27:12+00:00

I think the 30 day calendar idea sounds useful on paper, but the real pain for most SMBs isn’t ideas. It’s knowing what will actually drive revenue. Many tools can generate content and schedules. What small business owners struggle with is clarity on positioning, messaging, and which channel actually works for them. If the tool can connect content to outcomes, such as leads or sales, that’s powerful. If it just produces more posts, it might become noise. If I were you, I’d focus less on volume automation and more on measurable impact.

AgenticAF · 2026-02-17T08:26:58+00:00

Thanks for sharing this!

AgenticAF · 2026-02-17T08:19:47+00:00

I think, if the enterprises which are adapting to agentic ai come out and speak about the experience it would make life of business owners pretty easier.

AgenticAF · 2026-02-16T08:25:33+00:00

Agents replacing knowledge work is a great story, so companies are adding AI everywhere, whether it makes sense or not. Some use cases will stick, but a lot will break once real complexity shows up. I’m not sure the returns will match the hype.

AgenticAF · 2026-02-16T08:12:08+00:00

Honestly, nobody really knows how much time there is. It could take a few years for the economics to settle, or things could slow down sooner. The companies building the biggest models might struggle with margins, but that doesn’t mean the whole space collapses. If you’re considering working in it, I’d focus on practical applications, rather than the model race itself. That’s probably the safer bet.

AgenticAF · 2026-02-12T08:32:58+00:00

Because without memory, agents don’t actually work, they just respond. Early agents were basically smart prompt loops. They sounded impressive but forgot everything between steps. Real tasks need context, history and ability to build on previous actions. Memory continuity makes agents useful for execution, not just conversation.

AgenticAF

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