The issue I am solving - JE doesn't post/report doesn't reconcile. Obvious checks (Approvals, GL Impact, Posting period etc.) clean. You're then forced to chase down various custom scripts, workflows, integrations and find out 2-3 of these are interfering causing the problem, not a single obvious bug. Talking to a handful of consultants they claim this type of thing costs them 4 hours to half a day each time the problem occurs and that the issue is most prevalent at older heavily customized clients (perhaps 30-40% of a client base).

What I'm building - A purely read-only AI tool that connects to the client's NetSuite via API, automatically traces all scripts, workflows and integrations involved in a specific transaction, presents you with a ranked shortlist of likely contributing factors and tells you exactly which system note or script caused the problem – no guesses. You still have to execute the fix and it doesn't touch or modify anything.

Where I think this could fail

• Maybe this isn't as pervasive or expensive as those handful of people I spoke to led me to believe
• Maybe NetSuite's system notes aren't clean enough via API to reliably determine "what touched this transaction"
• Maybe consultants don't want a third-party tool having even read-only access to their clients' data
• Maybe Oracle's own native AI preempts me

Fire away! What am I missing? What are my naive assumptions? Would you use this?

The issue I am solving - JE doesn't post/report doesn't reconcile. Obvious checks (Approvals, GL Impact, Posting period etc.) clean. You're then forced to chase down various custom scripts, workflows, integrations and find out 2-3 of these are interfering causing the problem, not a single obvious bug. Talking to a handful of consultants they claim this type of thing costs them 4 hours to half a day each time the problem occurs and that the issue is most prevalent at older heavily customized clients (perhaps 30-40% of a client base).

What I'm building - A purely read-only AI tool that connects to the client's NetSuite via API, automatically traces all scripts, workflows and integrations involved in a specific transaction, presents you with a ranked shortlist of likely contributing factors and tells you exactly which system note or script caused the problem – no guesses. You still have to execute the fix and it doesn't touch or modify anything.

Where I think this could fail

• Maybe this isn't as pervasive or expensive as those handful of people I spoke to led me to believe
• Maybe NetSuite's system notes aren't clean enough via API to reliably determine "what touched this transaction"
• Maybe consultants don't want a third-party tool having even read-only access to their clients' data
• Maybe Oracle's own native AI preempts me

Fire away! What am I missing? What are my naive assumptions? Would you use this?

Trying to figure out if this is a real problem before building anything further.

When a transaction/report issue turns out to be caused by multiple custom scripts, workflows, or integrations tangled together not one obvious bug, but a few things interacting how often does that actually happen for you, and how much time does it usually eat up?

For context, I'm exploring an AI tool that connects read-only to a client's NetSuite instance, traces every script/workflow/integration that touched a problem transaction, and maps out how they likely interacted instead of guessing one cause. You'd still review the findings and apply the fix yourself.

But before I go further on the build, I'd rather know honestly is the underlying problem actually real and recurring for you, or am I overestimating how often this happens?

Validating an idea: an AI tool that traces why a transaction issue happened when it's caused by custom scripts/workflows interacting (not one obvious bug). A few consultants I've talked to confirm this is real pain, especially in older, customized environments.

Right now I just need to test something basic: can I pull the data I need (System Notes, transaction fields, script metadata) through NetSuite's REST API at all. No AI yet, just proving raw access works.

Looking for someone willing to do a quick ~20 min call and let me test read-only access on a sandbox you control — you generate the token yourself, fully your call what's shared. No writes, no changes.

Not selling anything. Happy to share progress if you're curious.

I keep seeing consultants being called in for "this journal entry didn't post", "this report isn't agreeing with the subledger", "why did this sync create duplicates," etc which is almost always something specific to a given client's customizations (custom scripts, workflows, field mapping).

Idea: an AI tool that hooks into a specific client's NetSuite/QBO, learns their customizations, and helps the consultant rapidly find root cause by pulling the audit trail, highlighting the likely suspect script/workflow/permission instead of having to dig through System Notes every time. You would still diagnose and fix yourself; it wouldn't try to replace that expertise but would just help speed up the digging.

Tell me why this is dumb: Is this a real ongoing time sink or just something you grumble about once a quarter?

Would you let a tool read access a client instance?

Is someone already doing this and I'm unaware?

Would you or your firm actually pay for this, or isn't it enough to justify a dedicated tool? No filter, please rip me apart, need to understand if this is real before I waste months.

I keep seeing consultants being called in for "this journal entry didn't post", "this report isn't agreeing with the subledger", "why did this sync create duplicates," etc which is almost always something specific to a given client's customizations (custom scripts, workflows, field mapping).

Idea: an AI tool that hooks into a specific client's NetSuite/QBO, learns their customizations, and helps the consultant rapidly find root cause by pulling the audit trail, highlighting the likely suspect script/workflow/permission instead of having to dig through System Notes every time. You would still diagnose and fix yourself; it wouldn't try to replace that expertise but would just help speed up the digging.

Tell me why this is dumb: Is this a real ongoing time sink or just something you grumble about once a quarter?

Would you let a tool read access a client instance?

Is someone already doing this and I'm unaware?

Would you or your firm actually pay for this, or isn't it enough to justify a dedicated tool? No filter please – rip me apart, need to understand if this is real before I waste months.

I keep seeing consultants being called in for "this journal entry didn't post", "this report isn't agreeing with the subledger", "why did this sync create duplicates," etc which is almost always something specific to a given client's customizations (custom scripts, workflows, field mapping).

Idea: an AI tool that hooks into a specific client's NetSuite/QBO, learns their customizations, and helps the consultant rapidly find root cause by pulling the audit trail, highlighting the likely suspect script/workflow/permission instead of having to dig through System Notes every time. You would still diagnose and fix yourself it wouldn't try to replace that expertise but would just help speed up the digging.

Tell me why this is dumb: Is this a real ongoing time sink or just something you grumble about once a quarter?

Would you let a tool read access a client instance?

Is someone already doing this and I'm unaware?

Would you or your firm actually pay for this, or isn't it enough to justify a dedicated tool? No filter please – rip me apart, need to understand if this is real before I waste months.

Trying to validate a problem in fintech/compliance. The problem that i am trying to solve is the lack of visibility when account restrictions or verifications occur. Users typically do not understand what is going on, what they need to do, or how soon they’ll have access back.

Product intended to provide clarity into that process, while not touching a financial institutions compliance or security workflows.

For now I'm trying to keep product details vague, as I validate the problem. My questions: Is this something worth solving, or are we just complaining minority? What's the main reason any bank would say no to a product like this? What am i missing business-wise, regulatory-wise, or technology-wise.

No filter.

I need brutal feedback before investing months building.

Trying to validate a problem in fintech/compliance. The problem that i am trying to solve is the lack of visibility when account restrictions or verifications occur. Users typically do not understand what is going on, what they need to do, or how soon they’ll have access back.

Product intended to provide clarity into that process, while not touching a financial institutions compliance or security workflows.

For now I'm trying to keep product details vague, as I validate the problem. My questions: Is this something worth solving, or are we just complaining minority? What's the main reason any bank would say no to a product like this? What am i missing business-wise, regulatory-wise, or technology-wise.

No filter.

I need brutal feedback before investing months building.

Trying to validate a problem in fintech/compliance. The problem that i am trying to solve is the lack of visibility when account restrictions or verifications occur. Users typically do not understand what is going on, what they need to do, or how soon they’ll have access back.

Product intended to provide clarity into that process, while not touching a financial institutions compliance or security workflows.

For now I'm trying to keep product details vague, as I validate the problem. My questions: Is this something worth solving, or are we just complaining minority? What's the main reason any bank would say no to a product like this? What am i missing business-wise, regulatory-wise, or technology-wise.

No filter.

I need brutal feedback before investing months building.

Hey everyone! 👋

I’m currently working as a Business Development Associate at a VoIP service provider company. Our lead-generation process is:

1. Search job portals using relevant keywords, such as “US Staffing.”
2. Identify companies that are actively hiring.
3. Research those companies on LinkedIn.
4. Find and connect with the relevant decision-makers.

However, I’m facing a few challenges. Many job listings are posted multiple times by the same companies, which leads to duplicate prospects. I also come across very large companies with millions of followers, where the chances of getting a response may be low.

I’m struggling to find the right mid-sized companies that are actively hiring, fit our target profile, and are more likely to respond.

The average target is 30+ qualified leads per day, and others on my team are consistently finding leads and converting clients. I’m currently stuck and want to improve my approach.

Are there any free tools, search methods, filters, or strategies that can help me identify better-fit companies and avoid duplicates?

If any experienced BDA or sales professional can guide me, I would really appreciate your advice. Thank you!

Hey everyone! 👋

I’m currently working as a Business Development Associate at a VoIP service provider company. Our lead-generation process is:

1. Search job portals using relevant keywords, such as “US Staffing.”
2. Identify companies that are actively hiring.
3. Research those companies on LinkedIn.
4. Find and connect with the relevant decision-makers.

However, I’m facing a few challenges. Many job listings are posted multiple times by the same companies, which leads to duplicate prospects. I also come across very large companies with millions of followers, where the chances of getting a response may be low.

I’m struggling to find the right mid-sized companies that are actively hiring, fit our target profile, and are more likely to respond.

The average target is 30+ qualified leads per day, and others on my team are consistently finding leads and converting clients. I’m currently stuck and want to improve my approach.

Are there any free tools, search methods, filters, or strategies that can help me identify better-fit companies and avoid duplicates?

If any experienced BDA or sales professional can guide me, I would really appreciate your advice. Thank you!

Hey everyone! 👋

I’m currently working as a Business Development Associate at a VoIP service provider company. Our lead-generation process is:

1. Search job portals using relevant keywords, such as “US Staffing.”
2. Identify companies that are actively hiring.
3. Research those companies on LinkedIn.
4. Find and connect with the relevant decision-makers.

However, I’m facing a few challenges. Many job listings are posted multiple times by the same companies, which leads to duplicate prospects. I also come across very large companies with millions of followers, where the chances of getting a response may be low.

I’m struggling to find the right mid-sized companies that are actively hiring, fit our target profile, and are more likely to respond.

The average target is 30+ qualified leads per day, and others on my team are consistently finding leads and converting clients. I’m currently stuck and want to improve my approach.

Are there any free tools, search methods, filters, or strategies that can help me identify better-fit companies and avoid duplicates?

If any experienced BDA or sales professional can guide me, I would really appreciate your advice. Thank you!

Hey everyone! 👋

I’m currently working as a Business Development Associate at a VoIP service provider company. Our lead-generation process is:

1. Search job portals using relevant keywords, such as “US Staffing.”
2. Identify companies that are actively hiring.
3. Research those companies on LinkedIn.
4. Find and connect with the relevant decision-makers.

However, I’m facing a few challenges. Many job listings are posted multiple times by the same companies, which leads to duplicate prospects. I also come across very large companies with millions of followers, where the chances of getting a response may be low.

I’m struggling to find the right mid-sized companies that are actively hiring, fit our target profile, and are more likely to respond.

The average target is 30+ qualified leads per day, and others on my team are consistently finding leads and converting clients. I’m currently stuck and want to improve my approach.

Are there any free tools, search methods, filters, or strategies that can help me identify better-fit companies and avoid duplicates?

If any experienced BDA or sales professional can guide me, I would really appreciate your advice. Thank you!

Hey everyone! 👋

I’m currently working as a Business Development Associate at a VoIP service provider company. Our lead-generation process is:

1. Search job portals using relevant keywords, such as “US Staffing.”
2. Identify companies that are actively hiring.
3. Research those companies on LinkedIn.
4. Find and connect with the relevant decision-makers.

However, I’m facing a few challenges. Many job listings are posted multiple times by the same companies, which leads to duplicate prospects. I also come across very large companies with millions of followers, where the chances of getting a response may be low.

I’m struggling to find the right mid-sized companies that are actively hiring, fit our target profile, and are more likely to respond.

The average target is 30+ qualified leads per day, and others on my team are consistently finding leads and converting clients. I’m currently stuck and want to improve my approach.

Are there any free tools, search methods, filters, or strategies that can help me identify better-fit companies and avoid duplicates?

If any experienced BDA or sales professional can guide me, I would really appreciate your advice. Thank you!

So far I've worked on:

• Stock Market Analysis with ML predictions

• Financial Risk Analysis pipelines

• Logistics & Delivery Optimization using SQL and many more....

Although my professional experience has been in marketing, over the last few months I have diligently built a strong foundation in Python, SQL, Power BI, and data analytics through hands-on projects.

The experience in data analytics that I might lack, I make up for with curiosity, consistency and an appetite for using data to solve problems.

I am actively seeking an internship in Data Analysis where I can continue to learn, contribute and expand my knowledge.

If you feel I could be a valuable addition to your team I would welcome an opportunity to talk further.

So far I've worked on:

• Stock Market Analysis with ML predictions

• Financial Risk Analysis pipelines

• Logistics & Delivery Optimization using SQL and many more....

Although my professional experience has been in marketing, over the last few months I have diligently built a strong foundation in Python, SQL, Power BI, and data analytics through hands-on projects.

The experience in data analytics that I might lack, I make up for with curiosity, consistency and an appetite for using data to solve problems.

I am actively seeking an internship in Data Analysis where I can continue to learn, contribute and expand my knowledge.

If you feel I could be a valuable addition to your team I would welcome an opportunity to talk further.

So far I've worked on:

• Stock Market Analysis with ML predictions

• Financial Risk Analysis pipelines

• Logistics & Delivery Optimization using SQL and many more....

Although my professional experience has been in marketing, over the last few months I have diligently built a strong foundation in Python, SQL, Power BI, and data analytics through hands-on projects.

The experience in data analytics that I might lack, I make up for with curiosity, consistency and an appetite for using data to solve problems.

I am actively seeking an internship in Data Analysis where I can continue to learn, contribute and expand my knowledge.

If you feel I could be a valuable addition to your team I would welcome an opportunity to talk further.

So far I've worked on:

• Stock Market Analysis with ML predictions

• Financial Risk Analysis pipelines

• Logistics & Delivery Optimization using SQL and many more....

Although my professional experience has been in marketing, over the last few months I have diligently built a strong foundation in Python, SQL, Power BI, and data analytics through hands-on projects.

The experience in data analytics that I might lack, I make up for with curiosity, consistency and an appetite for using data to solve problems.

I am actively seeking an internship in Data Analysis where I can continue to learn, contribute and expand my knowledge.

If you feel I could be a valuable addition to your team I would welcome an opportunity to talk further.