SaaS

Vonvo.ai

AI & Sales Technology

The short version

Vonvo.ai case study: How SoudCoh built an AI sales training SaaS platform from concept to launch.

Full product design, development, and go-to-market for an Australian AI startup.

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The result.

Sales Challenge Modes

50%

Faster Rep Ramp Time

12+

Industry Verticals Supported

AI-Scored

Performance Analytics

Industry: AI & Sales Technology
Discipline: SaaS
Services: SaaS · AI · Sales Training · Product Development

Every figure above was read out of this client's live account and is reproduced exactly as the study publishes it. It is a record of what happened on one account, in one market, at one budget — not a forecast for yours.

What would this look like on your account?

Different market, different budget, different numbers. The first call is where we work out whether the same approach fits yours at all.

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50% Faster Rep Ramp Time

12+ Industry Verticals Supported

6 Sales Challenge Modes

AI-Scored Performance Analytics

About Vonvo.ai

Vonvo.ai is an AI-powered sales training platform that enables sales teams to practise cold calls, handle objections, and refine their pitch using realistic AI-generated buyer personas. No burned leads. No risked pipeline. Just structured, measurable, and repeatable sales coaching for modern B2B teams across Australia and beyond.

The Vonvo team came to SoudCoh with a clear vision and a big problem to solve. They needed a partner who could take their concept from whiteboard to working product, and then help them bring it to market. That partner was us.

Vonvo.ai homepage showing AI-powered sales coaching platform

The Brief

The Vonvo founding team had identified a gap in the sales enablement market that nobody was filling properly. Sales teams across every industry face the same problem: new reps need practice, but traditional training methods are slow, inconsistent, and expensive. Roleplays lack realism. Shadowing live calls slows momentum. And mistakes on real prospects cost real revenue.

Their question was simple: what if sales reps could practise against a realistic AI buyer before ever speaking to a real prospect?

They needed SoudCoh to turn that question into a fully functional SaaS product, complete with product strategy, UX design, development, branding, and go-to-market positioning.

The Challenge

Through our discovery process with the Vonvo team, we mapped out the core pain points their target users face every day. These became the foundation for every product decision that followed.

Slow Ramp Times

New sales reps required four to eight weeks before they could hold confident, structured conversations with prospects. This delay cost businesses time, morale, and revenue.

Inconsistent Roleplay Quality

Manager-led roleplays varied in quality, frequency, and realism. Feedback was subjective, and there was no standardised benchmark for rep readiness.

Excessive Manager Review Time

Sales managers spent five to seven hours per week reviewing individual rep calls. This pulled leaders away from strategic work and created coaching bottlenecks across the entire team.

Weak Objection Handling

Reps encountered objections like "we already have a solution" or "send me an email" without a structured framework for responding. The same patterns repeated, and close rates suffered.

Pipeline Risk from Unprepared Reps

Early-stage calls with real prospects were often the first time reps encountered real buying signals or resistance. Mistakes on live leads were expensive and difficult to recover from.

What SoudCoh Built

We worked with the Vonvo team across product strategy, UX/UI design, full-stack development, and go-to-market planning. The result is a comprehensive AI-driven sales training platform with multiple interconnected modules.

AI Voice Sales Simulations

The core product experience. Reps practise real-time voice conversations with dynamic AI buyers across 12+ industry verticals including Technology/SaaS, Real Estate, Financial Services, Healthcare, Insurance, and more. Each simulation adapts based on the rep's responses, creating realistic and unpredictable call experiences that mirror actual prospect interactions.

Vonvo.ai live AI sales simulation with real-time transcript and coaching

Industry-Specific Practice Training

We designed a structured training flow that guides reps through Industry, Stage, Prospect, Scenario, and Setup before each practice session. This ensures every simulation is tailored to the rep's actual target market, not generic roleplay scenarios.

Vonvo.ai practice training interface with industry scenario selection

Objection Training Library

We built quick practice modules covering the most common resistance patterns sales teams encounter: "I'm Not Interested," "That's Too Expensive," "Just Send Me Info," "We Already Have a Solution," "I Need to Think About It," and "Need to Speak to My Partner." Reps build muscle memory through repetition without any risk to live pipeline.

Vonvo.ai dashboard with score trajectory and quick practice objection modules

Gamified Sales Challenges

To drive engagement and make training addictive rather than tedious, we designed six structured challenge modes: Book a Meeting, Objection Blitz, Pitch Perfect, Camera On Challenge, Gatekeeper Gauntlet, and Discovery Dash. Each mode targets a different sales competency and provides competitive scoring to keep reps coming back.

Vonvo.ai gamified sales challenge modes including Book a Meeting, Objection Blitz, and Pitch Perfect

AI Call Analysis and Performance Scoring

Every practice session generates detailed AI-powered analysis including an overall score out of 100, talk-to-listen ratio, filler word frequency, talk speed, longest monologue duration, interactivity score, and question rate. Each metric is benchmarked against best practices so reps and managers can see exactly where improvement is needed.

Vonvo.ai AI call analysis dashboard showing performance scoring and metrics

Call Transcript and Coaching Review

Every session generates a full transcript with timestamped moments, coaching notes, and improvement areas flagged by AI. The coaching panel highlights specific technique issues with severity ratings, giving managers actionable feedback they can reference without sitting through entire recordings.

Vonvo.ai call transcript with AI coaching moments and improvement areas

AI-Powered Hiring Assessments

Beyond training existing teams, we built a hiring assessment module that lets companies screen sales candidates at scale using AI-simulated cold call scenarios. Hiring managers create templates, invite candidates, and receive objective scoring to compare candidates side by side. A complete recruitment tool built directly into the platform.

Vonvo.ai hiring assessments dashboard for screening sales candidates with AI

The Results

Since launch, Vonvo.ai has delivered measurable impact for early adopters across multiple industries.

Faster Ramp to Confidence

Teams using Vonvo.ai report that new reps reach baseline call confidence roughly 50% faster. Reps arrive at their first real prospect calls with structured frameworks already practised and internalised.

Stronger Objection Handling

Repetitive simulation builds pattern recognition. Reps who complete objection training modules show markedly more structured and confident responses when they encounter the same resistance on live calls.

Reclaimed Manager Time

With AI handling initial rep development and providing objective feedback, managers shift from reactive call correction to proactive strategy coaching. The hours spent on basic call reviews drop significantly.

Objective, Data-Driven Coaching

AI-driven scoring replaces subjective feedback. Every practice call generates measurable data that tracks progress, identifies patterns, and highlights specific areas for improvement. No more coaching based on gut feeling.

Why Vonvo.ai Works

Safe Repetition

Reps can fail privately. Every mistake becomes a learning opportunity instead of a lost deal or a damaged prospect relationship. The psychological safety of practising without consequences accelerates skill development.

Consistent, Objective Coaching

AI delivers structured scoring on every single call. There is no subjectivity, no inconsistency, and no reliance on whether a manager had time that week. Every rep receives the same quality of feedback regardless of team size.

Scalable Enablement

Managers can oversee 10 to 50 reps without a linear increase in time cost. The platform handles initial development, leaving managers free to focus on strategy, deal support, and advanced coaching.

What This Means for You

Vonvo.ai is a demonstration of what SoudCoh builds for clients who have ambitious product ideas. We took a concept from discovery through to a fully launched, market-ready SaaS platform with AI voice technology, complex analytics, gamification, and multi-tenant architecture.

If you have an idea for a SaaS product, an internal tool that needs to be productised, or an automation system that could transform your operations, this is exactly the kind of work we do.

Have a SaaS idea or automation project?
We help founders and businesses design, build, and launch technology products from scratch. Get in touch with our team to discuss your project, or explore Vonvo.ai to see the product live.

Contributors

Holly Adelaide, Brand Messaging Specialist
Rohit Sood, Managing Director

What every number on this page actually means.

Marketing words get used loosely, and a loose word can make a small result look like a big one. Here is exactly what we mean by each of them.

Conversion: One real action by one real person: a phone call that lasted long enough to be a conversation, a submitted enquiry form, a booking, or a purchase. Not a page view and not a form that merely loaded.
Cost per job · cost per lead: The advertising money spent, divided by the number of those actions. It is the only figure that tells you whether the advertising is worth doing, which is why we publish it next to the count.
Conversion rate: The share of people who clicked the ad and then did the thing. A high click count with a low conversion rate usually means the ad and the page are promising different things.
Ad spend: Money that went to the advertising platform, not to us. Our management fee is separate and is never included in a cost-per-job figure, because mixing them would flatter the number.
The measurement window: The dates the figure covers, named every time. Where a study covers a launch, the clock starts the day campaigns went live — not the day the graph started looking good.
A starting point: Where a study knows what a figure was before the work began, that number is printed next to the one it became. Where the account had no history to compare against, the result is printed on its own rather than measured from a number nobody recorded.
Qualified lead: An enquiry that matched the service and the service area, so it was worth someone picking up the phone for. Where a study says qualified, somebody checked.
An anonymised client: Government, council and cultural-institution engagements are published as sector and jurisdiction only. The work and the measured outcome are described in full; the organisation is not named.

One more, because it matters most: nothing on this page is a guarantee. It is a record of what happened on one account, in one market, at one budget.

SoudCoh Compound™

This page exists because of two of the six stages.

Compound is how our team works on any account — six stages every change passes through. Two of them are why there is anything honest to publish.

Meter
If it can't be measured, it doesn't get bought.
Before a dollar moves, every action worth money to the business is tracked as itself — calls, forms, bookings, purchases — with values attached. Without that stage there is no honest number to publish afterwards.
Ledger
Every change we make becomes a record you can open.
Every change lands in a dated record as it happens — what was added, what was stopped, what was rewritten and what it cost. Writing this page afterwards was reading a file, not reconstructing a memory.

Read all six stages

If you want one of these

What actually happens after the first call.

No mystery and no lock-in before you have seen anything. This is the sequence every account on this site went through.

The call
Thirty to forty-five minutes, free
What you sell, who buys it, and what one customer is worth to you. No deck. You leave with a real number for your situation rather than a range.
Week 0
The audit
We open your account — or your competitors' ground, if you do not have one yet — and write down every leak we can find. That list is yours whether or not you work with us.
Week 1
The build
Everything the account needs before it can spend a dollar: what it will bid on, what it must never pay for, the ad copy, the assets, the landing pages and the tracking. A second person checks all of it before anything is live.
Day one
You press go
Campaigns are created paused, every time, so you can read the whole build first. You activate when you are ready, not when we are.
Days 1–14
The clean
The busiest fortnight your account will ever have. Search terms read daily, waste negated, early winners promoted, ad copy iterated against what is actually being served.
From there
Rhythm
Weekly optimisation, reporting on a fixed cadence whether the news is good or bad, and a proper conversation each quarter about where the next block of budget should go.

Before you ask us anything

Here is what everybody asks first.

FAQ

The questions this raises.

Whether the figures are real, how they were measured and over what length of window, what it costs, and whether any of it would hold for your business.

The first call is free and there is no deck.

Book a call

Are the figures in this case study real?

Yes. Every number on this page was read out of the client's own advertising account and is printed here exactly as the study publishes it, beside the period it covers. The dashboard and ad images are screen-grabs of that account rather than recreations. If one of these figures matters to your decision, ask about it on the first call and we will walk you through where it came from.

How were these numbers measured, and over what window?

Every figure on the page is printed beside the period it belongs to. We publish the LENGTH of a measurement window and the year, and withhold the exact dates — when a client advertised, and how their trading calendar looks, is their commercial information rather than ours. A conversion means one real action by one real person: a phone call that lasted long enough to be a conversation, a submitted enquiry form, a booking, or a purchase. Not a page view, and not a form that merely loaded.

Would this work for my business?

We cannot promise you the same numbers, and nobody honestly can. What this page tells you is what was achievable in that market, at that budget, for that service. Your competition, your service area, your margins and what one customer is worth to you all move the answer. On the first call we build the picture from your figures rather than someone else's, and if the honest answer is that this channel is wrong for you right now, we will say so.

Why does this study show a result but not a starting point?

Because in most of these engagements there was nothing reliable to start from. A brand-new advertising account has no history, and a business that was tracking enquiries on paper or in a spreadsheet has no comparable figure either. Where a real before-number exists we print it next to the after-number, so you can see the movement rather than take our word for it. Where it does not, we print the result on its own. Back-solving a starting point from a percentage would make the page look better and mean less.

Would my business get the same result?

We cannot tell you that, and nobody honestly can. What this page tells you is what was achievable in that market, at that budget, with that service. Your competition, your service area, your margins and what a customer is worth to you all move the answer. On the first call we build the picture from your numbers rather than from someone else's, and if the honest answer is that this channel is wrong for you right now, we will say so.

How much would this cost to run?

Two separate numbers. Your ad spend goes to the platform, and what it needs to be depends on how competitive your market is and how many jobs you want — the smallest companies we work with invest a minimum of A$3,000 a month, and our largest clients run multiple eight figures a month across paid channels. Our management fee is separate and scales with the work. The first call is free and you leave it with a real figure for your situation.

How quickly could we start seeing enquiries?

It depends on the channel. Paid search meets demand that already exists, so calls and forms can arrive within hours of launch, and the first two to four weeks are an optimisation period where waste is cut daily. Most accounts settle into their best rhythm around 60 to 90 days. SEO, content and brand work run on a much longer clock — months rather than weeks — and we will tell you which one your situation actually needs.

Am I locked into a long contract?

No long-term lock-in. We would rather keep the work because it is producing than because a contract says you have to stay. What we do ask for is enough runway to be fair to the account — a campaign judged on its first ten days is being judged during the part where we are still cutting waste out of it. Terms are put in front of you in plain English before anything is signed.

More accounts, same discipline.

Studies from the same kind of work, so you can see how the pattern holds across different businesses.

The work that produced this.

Everything above was delivered by one of a handful of things we do. These are the ones this account leant on, written up in full rather than summarised.

The briefing behind the work.

The case study records what happened. These two explain the channel, measurement or operating decision that made the result interpretable in the first place.

Instrumentation is part of the product when decisions are made from the numbers it emits. That case is argued in The Tag Manager layer that can invalidate the dashboard.

The ownership, governance and operating constraints behind an internal data product. The other half of it is set out in Why first-party data projects stall outside tier one.

The work behind this one is written up in full under product and platform builds, and the operating sequence behind every study on this site sets out the sequence in order.

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