u/Aggravating_Log9704

hey guys, quick question because trying to get ai inbound workflows working across hubspot and salesforce has turned into a complete headache for our team.

The idea sounds simple in theory. ai qualifies inbound leads, enriches company info automatically, scores buying intent based on engagement, routes hot leads to reps, maybe even handles follow ups before sales jumps in. supposed to reduce response times and stop reps from manually digging through every single form fill.

In reality the crm side has been way messier than i expected.

the thing that's becoming painfully obvious is how much inbound depends on timing now. if someone is actively showing buying intent and your systems take hours to sync or route the lead properly, you have basically lost the window already.

feels like a lot of companies are racing to build these fully automated inbound workflows, but once hubspot, salesforce, enrichment tools, chat systems, and routing all start interacting together, the process gets messy really fast.

curious how people are handling this without losing visibility, speed, or clean crm data in the process.

Idk if anyone else deals with this but its so frustrating.

English is my second language. In my head, i KNOW what i want to say. Like the sentence is there, clear, makes sense, but the second i have to say it out loud, my brain just lags

Words don't come out right, i start overthinking, then i just go quiet or say something super basic. And after the convo i am like ‘nah i could’ve said that way better. It makes me feel dumb even tho i know my English isn't that bad.

I think part of it is school English vs real life. In school everything is slow and perfect, in real life people talk fast, use slang, don't wait for you.

Also lowkey scared of sounding stupid or messing up in front of people.

Has anyone else went through this and got past it?

migrating off MPLS to connect on-prem with Amazon Web Services and Microsoft Azure using Tailscale and BGP as part of a broader cloud networking setup.

during cutover, on-prem /24s and VPC/VNet CIDRs were advertised through Tailscale. Azure peering used AS 65530. on-prem routers were also set to 65530. BGP sessions were not restricted with route filters.

after deployment, latency spiked and packet loss increased across hybrid traffic. apps between cloud and on-prem became unreachable.

traces showed traffic looping between AWS, Tailscale, on-prem, and Azure. prefixes were being re-advertised without control due to identical ASNs and missing filtering. on-prem effectively pulled traffic and re-announced it.

recovery involved disabling BGP peers and rolling back to static routes. service restored after rollback. routes are still unstable while rebuilding.

current plan is to assign unique ASNs and apply proper route filtering. also reviewing path selection and asymmetry.

for teams running hybrid cloud with BGP, what controls are you using to prevent loops and bad advertisements during cutover?

we’re a mid-sized org, mostly google workspace, slack, github. shadow ai use is everywhere. people pasting into chatgpt, claude, whatever.. and we have zero visibility into prompts or what data actually leaves.

tried basic dlp but it misses anything typed in the browser. casb shows domains, not what’s happening inside sessions.

network blocks don’t help since AI is baked into tools like notion or salesforce now.

looking for something that actually sees prompts. browser-based, endpoint, whatever, as long as it doesn’t kill performance.

what people are running for this. how noisy it gets, how painful the rollout is, and whether it actually caught anything real.

we onboarded ~10 more accounts into our AWS org over the last couple months and now security visibility is just gone.

• GuardDuty alerts stopped aggregating properly.
•    Security Hub is missing findings.  
• Config rules are timing out across accounts.  
• even IAM Access Analyzer feels slow.

we were relying on org level views before but now its a mess of manual switching between accounts or digging through Resource Access Manager (RAM) every time. tried enabling some cross account roles but that didnt fix the dashboard gaps. our setup is mostly native AWS tools plus a bit of CloudTrail lake queries, nothing fancy.

at this point it feels like the org level view just doesn’t hold once account count grows.

what’s actually working for you to keep visibility centralized at this scale?

appreciate any pointers.

We are spending more and more on LinkedIn and Google ads to bring high intent buyers into our funnel, but what happens after the click is still completely disconnected from who arrives.

Everything still starts the same way. A CEO from a target account, a VP of Engineering, or a junior analyst all land on the same static page with the same message and the same form. There is no real time understanding of intent and no instant qualification at the moment the buyer is most engaged.

So the flow usually looks like this:

- High intent buyers arrive from expensive ad clicks

- Anonymous website traffic is treated the same regardless of account or role

- No real time AI powered lead engagement happens on arrival

- Click to meeting conversion depends on the buyer filling out a form later

- Lead routing automation and CRM integration only trigger after the visit is already over

- Sales only sees the lead once the intent has cooled down

Even with B2B lead qualification tools, inbound lead automation, and AI SDR systems in place, most stacks are still reacting after the visit instead of engaging during it. The core issue is not traffic quality. It is the delay between intent and response.

We optimize ads, bidding, and targeting to bring in better buyers, but then we still give them a static experience that does not adapt in real time to who they are or what they are doing. At this point, why are we still paying for high intent clicks just to let them go cold the moment they hit the page instead of engaging them instantly while they are still active?

Engineering and sales are on tools we approved, all in contract, all through normal procurement. None of it shows up in any of our tooling. Proxy sees the parent domain. CASB allows it. DLP is looking for file movement, not text typed into an app we already cleared.

The harder part is most users genuinely don’t realize they’re doing anything unusual. Copilot autocompletes, they accept. HubSpot generates a follow-up email, they hit send. It’s invisible to them and to us.

That caught up with us last month. Found out our sales team had been auto-generating client summaries using HubSpot for 3 months. Customer data, deal context, internal notes all going into it. Nobody flagged it because nobody thought of it as a separate tool. at this point this feels like shadow AI inside apps we already approved. SSO sees the app, but not what people are doing inside it

Compliance asked last week how we track this. I had nothing to tell them.

How are you getting any visibility into features inside apps you already approved when it all looks like normal traffic

Running agentless scanning across our cloud infrastructure and it discovers assets quickly, including ones we were not tracking before. Vulnerabilities appear early. The same issues come back in later scans. Some still reach production depending on how remediation is handled

Findings exist but ownership is not always clear. Sometimes more than one team is involved depending on the system. Some are tied to dependencies without a clear owner. Others sit on assets no one is actively maintaining

Added context to alerts around asset importance and exposure. Helps in certain cases. Prioritization can vary when handling larger volumes of CVEs. Agentless scanning works as expected. Focus now is getting findings resolved before deployment.

How are teams handling ownership and prioritization so vulnerabilities are addressed before production?