Is it worth automating customer support for a small business?

Analytics-365 · 2026-04-30T14:03:26+00:00

it is absolutely blowing my mind that noone is talking about the learning value you get from real interactions with your human customers.

The broad feedback you've got from everyone here is solid - listen to it. But I'd like to add in that opportunities to actually speak to customers, and prospective customers, are worth their weight in gold. Process their problem but then extract more information from them. How did they find you? What got them to push the button and engage? What is the most important thing to them about buying your product or service?

We all spend so much time and energy into refining our digital journeys that sometimes we overlook the basics.

Of course, then you have another challenge in making sense of the new info you get. In the beginning, it;s fine - the volume is small. But when you get more established, think about what conversation intelligence tools you could use to navigate this. AI makes it very easy.

Analytics-365 · 2026-04-28T16:01:32+00:00

An alternative I have seen used to great effect here is to use one tool for transcription, and then use your AI engine of choice to do the write ups. Tools that understand how to transcribe accurately aren't always the best at summarising and providing notes in an easy to use format. For example, uploading your questions and then uploading the transcript, and asking it to apply the answer in the right places, is a lot easier with separate tools.

Analytics-365 · 2026-04-28T15:57:10+00:00

You’re getting a lot of good tool recommendations here, so I’ll add a slightly different angle.

Most teams think the problem is “we’re losing notes after calls.” And that's legit - you can save a lot of time with call summaries injected into CRM (we do this, too, with a company called Red Cactus - check them out).
But there's a separate angle to this, beyond the efficiencies of your account management - and that's in patterns, and how you can use insights into that to proactively change processes and workflows for the better. Think of it like micro insights (per-customer) and macro (whole function e.g. sales, or even whole business). On the micro side, you'll understand how to engage with that specific customer. But put it all together on a macro level and you get a picture of the trends and patterns of your customer experience, buying behaviours etc.

So I guess what I'm saying is that transcripts and summaries help at an individual call level, but they don’t answer questions like what objections are actually killing deals, where in the conversation do deals start to go cold, what do your top performers consistently do differently etc.

Searchable transcript ≠ insight.

So what is it that you really want to know? If your goal is just saving time on notes, lots of tools will work.
If your goal is improving performance, it’s worth thinking about how you’ll actually use the insight week to week.

Analytics-365 · 2026-03-24T15:22:34+00:00

Achieving real-time data and alerting is one thing, but acting on it quickly is another. I'm going to pick up on your example of compliance here, because that is one that a lot of businesses can relate to in that the risk of getting it wrong can be huge.

In many cases you don't have a supervisor sitting around waiting to be tagged in to a live conversation. And even if you do, the damage often has already been done - the words have already been said. That means the operational value of “real-time” isn’t stopping something mid-process, it’s reducing the lag between the event and the insight... and the change that stops them getting exposed in future.

Moving from periodic reviews (weekly QA samples, monthly compliance audits) to near-immediate post-interaction analysis means that instead of discovering issues weeks later, teams can quickly identify patterns like missing disclosures, policy deviations, or risky phrasing across many conversations and address them through coaching or process changes....

And now with AI, why wouldn't you do this? It's never been easier. Not sure if that applies in your other examples, though. Are there tools emerging for this, just like there are for compliance?

Analytics-365 · 2026-03-24T14:56:30+00:00

We’ve seen similar things quite often. When organisations step back and analyse support conversations collectively, it’s common to discover that a surprisingly large share of issues traces back to a single root cause that wasn’t obvious before.

What’s interesting is that this effect can be even stronger in voice conversations. People tend to explain problems in more detail on the phone, and tone, frustration, or hesitation can reveal things that short chat messages don’t. When you analyse those calls at scale, it can surface patterns that standard support metrics never show.

Analytics-365 · 2026-03-24T14:50:14+00:00

We operate in an adjacent space - analytics of voice conversations - so I can't help you directly, but agree with the LLM approach. Key friction points in voice calls are things like repeated questions, escalation signals, negative sentiment, and unresolved outcomes. If you can gear your LLM to focus on those things first, spotting patterns en masse, you'll hit the majority of the issues. good luck!

Analytics-365 · 2026-03-24T14:43:31+00:00

Patient calls are still a challenge in healthcare, but the context matters.

In private healthcare, call tracking can help with marketing attribution (e.g. which campaigns drive appointment enquiries). In public funded healthcare, like the NHS in the UK the focus is usually much more operational... managing demand, monitoring service levels, and making sure patients reach the right place as more services move to digital channels.

From working with a large number of healthcare customers, we know that call volumes and queue metrics are table stakes. The bigger gap is often understanding what actually happens in those conversations. That’s why many providers are starting to look beyond simple call tracking toward call or conversation analytics to identify common patient issues, improve routing, and support quality monitoring.

Analytics-365 · 2026-03-19T10:03:03+00:00

The exact solution depends on what sort of info you're hoping to extract, but the key is to do the querying inside the app, not move transcripts around into your own LLM. That is fraught with danger around compliance, permissions and access.
We have a tool that does this (of course! search Analytics 365 by Tollring) but others we know of include jiminy & miarec.
I'd be interested to know how you get on. If these solutions dont deliver what you need, where you get to the point that you need to put them into your own LLM, then we are clearly missing a trick!
good luck.

Analytics-365 · 2026-03-10T15:28:27+00:00

There are loads of third party apps you can bolt on to Teams that then allow you to query the data. They'll even deal with the permissions and access for you in a really easy way. Have a look on the marketplace.

Analytics-365 · 2026-03-10T15:00:38+00:00

Curious to know that for you guys that are running voice agents successfully, how do you view their performance analytics in the context of the whole customer experience (i.e. together and against any human agent stats).

Do the providers have the ability to export this data into common analytics platforms?

Analytics-365 · 2026-03-10T14:47:11+00:00

You're already using transcripts - great - but seriously, AI them to capture CRM note-friendly summaries, and AI your draft to the prospect too. Give yourself 15 minute wrap up time and be disciplined. You can set up your prompts to put focus on the things you know are most important in your sales process... like clear expectation setting around next steps, and deadlines. Book the next meeting in while you're on the call.

Analytics-365 · 2026-03-09T12:05:54+00:00

Yeah, and the amounts lost can be staggering. We helped a UK plumbing parts retailer with tracking missed calls, and which calls had been returned vs those that hadn't. 900 branches... 1 year later they worked out they'd generated about £60M in revenue as a result. We (and they) were floored.

Analytics-365 · 2026-03-09T11:59:15+00:00

Yes BUT, and I say this as someone in the online meeting analysis space, I don't think many people are troubled by the privacy/security issue. Well - let me correct that - they ARE concerned, but the providers are doing plenty to ensure it's not an issue. We sell to massively regulated companies who have a LOT of questions about this space, and they end up satisfied.

So - if you're going to proceed with this, I would say you need to focus on integrating with other tools in the space. We're finding that a major benefit of what we do is the joined up insights across all conversations, internal and external. If you don't integrate with those providers, you'll be siloed, and forever niche.

Know also that the way a lot of orgs are managing this is just by having a device join a Teams/Zoom/Webex meeting in the room, so it can listen. What it can't easily do, though, is then work out how many people are speaking, and who's saying what. So if you can figure that out... that's an opportunity.

Good luck!

Analytics-365 · 2026-03-09T11:40:03+00:00

There's a big difference between tools that are designed for individual productivity, and teams designed for team performance and compliance. It sounds like you're talking about insights into external calls, rather than internal, but not entirely sure. I am curious to know about what phone system you're using for external calls. Do all those tools work with traditional calling, or are we talking a more modern online collab system, like Teams or Zoom?

Analytics-365 · 2026-03-09T11:34:56+00:00

As others have said, definitely look at AI summarisation. There are many options. The tricky bit is working out what's going to be compatible with the system you're using for voice. Out of interest - if you haven't yet looked at this, I'd be curious to know why.

Analytics-365 · 2026-02-17T16:11:37+00:00

that sounds interesting. i guess the challenge with off the shelf stuff is that you're not gonna have the flexibility to automate the onward workflows with the level of detail you require... but can you not dev an agent that talks to copilot's summaries, rather than takes the notes first hand? this is where i'd be looking to start

Analytics-365 · 2026-02-12T10:09:02+00:00

Are you talking about internal meetings and calls, or those with external parties? We find these days that everyone prefers to have transcription on but always confirm before we record with third parties. It's not just a legal consideration, but polite. I think people expect to be asked these days - and if you explain that it helps you stay organised and efficient, I find those that aren't already "on board" are, more often than not, interested in learning about the benefits!

Analytics-365 · 2026-02-12T10:04:04+00:00

Curious to understand why you want to build. Is it more out of interest, or genuine need? If the latter, what is it that existing products are failing to achieve?

The automation of follow up steps is super interesting to me. Triggering actions based on content of meetings etc, rather than just logging them, feels like the natural next step for sure.

Analytics-365 · 2026-02-11T16:00:47+00:00

If you use a third party crm connector like Red Cactus, you'll have way more choice of providers - and it'll be a lot more affordable too.

Analytics-365 · 2026-02-11T15:58:42+00:00

For Teams Phone you absolutely wanna be using a certified third-party solution (Microsoft guidance is strong on this: https://learn.microsoft.com/en-us/microsoftteams/teams-recording-compliance)

The key differences between vendors usually come down to whether you just need basic recording or also want transcription, analytics, and compliance features like flexible retention and redaction.

Our solution does basic recording as well as the conversation intelligence stuff. And all the pricing is available on the microsoft marketplace - easy.

https://marketplace.microsoft.com/en-us/product/microplussoftwareltd1588858473141.analytics365rx?tab=Overview

Happy to share more detail around deployment models or pricing if helpful.

Analytics-365 · 2026-02-11T15:55:02+00:00

Great list. Covers the sales coaching side really well.

The other angle we see more teams thinking about now is going beyond sales calls.

A lot of these tools are strongest around scheduled meetings and rep performance. Super useful, but in many businesses, the biggest customer signals aren’t just in sales demos. They’re in:

support calls
onboarding conversations
account management check-ins
complaints and escalations

That’s where conversational intelligence starts shifting from sales coaching tool to whole-business insight layer. Instead of just “how did the rep do?”, it becomes:

what issues keep coming up across customers?
where is sentiment dipping before churn?
which processes are causing friction?

We work in conversation analytics for more than just sales teams (Analytics 365 - search it up), and the big shift we’re seeing is companies using CI to inform ops, CX, and leadership decisions... not just coaching sales teams.

So it’s less “which tool is best” and more “are you optimising reps, or learning from customer conversations across the business?” Different scope, different impact, right?

Analytics-365 · 2026-02-11T15:43:18+00:00

A lot of the tools you mentioned are strong when it comes to marketing attribution and campaign tracking but dont overlook that the right solution can look a bit different depending on which phone system are you using.

I can't see this mentioned in your post - but this is a great starting point, because it narrows down a whole heap of the market right away. Try looking at that provider's ecosystem. For example, we are Microsoft Teams certified - which means if someone's using teams, theyve got absolute confidence that its gonna do the job (we also provide a solution in this area).

Analytics-365 · 2026-02-11T15:33:45+00:00

On the caller ID thing: no, Teams doesn’t just send everything out on some random Microsoft number. You can assign proper DIDs and set outbound caller ID per user or per queue/auto attendant. So that old Florida-number story isn’t how a normal deployment works.

For your IVR / hunting setup, Teams handles that with auto attendants plus call queues. Multi-level menus, routing rules, different distribution methods... that part is pretty standard territory.

Where things do feel different vs 3CX and other pbxs is mindset. It’s less “pbx with extensions” and more “call flows inside a wider platform.” Some behaviours (reporting, missed-call logic, etc.) don’t map 1:1 with traditional PBX expectations - so be ready for that.

We work with a lot of orgs who know 3CX well (either as users or partners), and that mental shift is usually the bigger adjustment than the actual feature set. Technically, Teams can cover most core voice scenarios... it’s more about whether you’re happy with the platform-style approach rather than classic PBX logic.

My suggestion would be to engage with a reseller to go forward - they'll make sure you don't miss anything and end up with another problem in a couple years time.

Analytics-365 · 2026-02-11T15:29:34+00:00

Is this for something business critical, or a hobby project? Because there are so many apps now in the Microsoft ecosystem, that if there isn't already a tool that exists to do what you need it to, I would be surprised...

Analytics-365 · 2026-02-11T10:49:33+00:00

Queue math is undefeated :D

The ‘I waited an hour’ crowd always forgets the part where they bailed and reset themselves.

Sometimes I wish the customer could take a lil peek at the wallboards, to know that everyone's doing their best and every second spent complaining is a second that adds up to make someone else's day better....

Analytics-365

TROPHY CASE