u/Accomplished_Job_76

At $300k/month Cloud spend, our bill keeps 
growing faster than our traffic.

Cost Explorer shows the numbers but nobody 
actually checks it weekly.

Trusted Advisor gives 40+ recommendations 
with no priority order.

Anomaly detection emails get archived.

What actually works for your team?

Curious about:
- How often someone reviews the bill
- Whether you automate any cleanup
- If you bought a tool, which one and is it used
- War stories from cost incidents

Trying to learn from teams that figured this out.

We are seeing more companies experiment with AI agents on websites, not just as basic chatbots answering FAQs, but as agents that can actually run the first layer of sales or presales conversations.

Imagine a customer lands on a company website and instead of filling a form or waiting for an SDR, an AI agent starts asking discovery questions:

What problem are you trying to solve?
What systems are you currently using?
What is your company size?
Are you evaluating now or just researching?
Would you like to see a product demo or use-case walkthrough?

In theory, this could help qualify leads, explain the product, demonstrate relevant features, and route serious prospects to the right sales or presales person.

But I am curious how ready the market actually is for this.

Would buyers be comfortable discussing their business problem with an AI agent before speaking to a human?

Would sales teams trust an agent to handle early discovery without damaging the opportunity?

Would presales teams see this as useful filtering, or as another layer that creates confusion?

For simple products, this feels very practical. For complex B2B, enterprise software, cloud, compliance, finance, or AI solutions, I wonder whether customers still expect a human early in the conversation.

My own view is that agents may work well when they assist, qualify, and prepare context for the human team, but may fail if companies try to fully replace early sales conversations too aggressively.

Curious to hear from founders, sales leaders, SDRs, presales consultants, and buyers:
Would you engage with an AI sales agent on a website if it could ask intelligent questions and show you a relevant demo?

Or would you still prefer to speak to a human first?

[supprimé]

I have been hearing that some Fortune 500 companies are starting to introduce automated evaluations for field staff and customer-facing teams.

From what I understand, these evaluations are not just basic multiple-choice tests. They include automated text-based assessments and, in some cases, agent-led evaluations where employees interact with an AI agent. The passing criteria can be as high as 80%, and for certain roles, these evaluations are becoming mandatory.

I am curious if others are seeing this trend in their organisations or industries.

A few questions I am trying to understand:

Are AI-led evaluations actually being used at scale, or is this still mostly in pilot mode?

Would employees be comfortable speaking to an AI agent on a video call for evaluation purposes?

For customer-facing teams, could this become a practical way to test product knowledge, objection handling, compliance awareness, or service quality?

Or would employees see this as intrusive, unfair, or too impersonal?

My sense is that this could be useful if it is positioned as training and readiness support, rather than as a replacement for human managers. But I can also see resistance if people feel they are being judged by a black-box system.

Would love to hear from anyone working in L&D, HR, sales enablement, field operations, customer service, or enterprise AI adoption. Is this something you are already seeing in the market?

I’ve been speaking with cloud and enterprise architecture teams, and one common theme keeps coming up: architects are no longer just designing systems.

They are expected to handle WAF-aligned designs, architecture documents, PRDs, Infrastructure-as-Code, cost estimates, cloud comparisons, security reviews, and stakeholder explanations — often across multiple clouds.

For Azure teams especially, the workload seems to sit across landing zones, governance, identity, networking, security, cost control, and documentation.

Curious how others are handling this.

Are architects in your organisation still focused mainly on design, or are they now expected to produce the full delivery package as well?

Full disclosure: we are building an AI agents to help cloud architects produce WAF-aligned designs, architecture documents, PRDs, IaC, and costing plans. Not posting this as a sales pitch — genuinely interested in how teams are handling this workload today.

Cloud architects: what part of the job do you wish could be partially automated

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