If someone talks about agents, ask what you have to build
An agent that does one little thing means a complicated system that gives you one feature at a time. That is a lot to set up, and a lot to learn.
Compare
Revenue AI platforms show you what happened. Taskbase runs your sales process from one playbook.
They all started with recording calls, and today they all build agents. Taskbase is one AI coach that does the work, with the agents already working in the background.
Who we compare Taskbase with
Gong
Kickscale
Demodesk
Modjo
Seismic
Avoma
Salesloft
tl;dv
Apollo
Sybill
Jiminny- … and many more
All of them record or analyse conversations and add features and agents on top. Many teams keep their recorder and add Taskbase on top of it.
The category is changing
One AI coach, not a system of agents
Revenue AI platforms built their first features years ago, and today each one adds agents. An agent does one small thing, and you have to set it up, connect it and maintain it. AI-first software works differently: one AI that does all of it, with the agents already there in the background. You do not choose them, you do not build them, and you do not have to know which agents exist.
AI first, not another platform
In Slack, Microsoft Teams, Google Chat or the web app, the AI is always the first point of access. There is no huge platform to learn: Taskbase teaches you how to use it.
Effective from day one
Standard views for every use case come out of the box. Teams fine-tune them over time, so reps come back more and learn more.
01 · Use cases
From prospecting to reporting, in one chat
| Revenue AI platforms & recording tools | Taskbase | |
|---|---|---|
| Call review and summaries | Covered | Covered |
| Event prospecting: ICP-fit leads and contact data, from a day to 30 minutes | Not covered | Covered |
| Daily call list, prioritised by email opens, site visits and CRM signals | Not covered | Covered |
| New lead search with emails and phone numbers | Often via a third party | Covered |
| Meeting briefing from CRM, sales rooms and playbook, pushed to Slack | Recordings only | Covered |
| Coaching from account history, rep skill level and your playbook | One call only | Covered |
| Decks, business cases, RFPs, security questionnaires and sales rooms | Not covered | Covered |
| Cross-sell prompts and compliance checks | Not covered | Covered |
| CRO reporting: any dashboard in seconds, not bound to the CRM | Not covered | Covered |
Why coverage drives adoption: reps expect AI to answer everything. After a few weak answers, they stop asking. When every question gets a good answer, reps use it all day.
02 · Outcomes
Results you can prove
Usage>80%of reps use Taskbase every day.
Time back1–2 ha day per rep, from prospecting to closing.
Skills against outcomesSkill → resultsA dashboard links each rep’s skill improvement to revenue and conversion.
Can you measure it?
Usage, time saved and skill growth, built in
| Revenue AI platforms & recording tools | Taskbase | |
|---|---|---|
| How reps use it, with a built-in engagement view | Typically not built in | Built in |
| Time saved per rep, with a built-in time-saved view | Typically not built in | Built in |
| Behaviour change across calls, not one-call snapshots | Typically not built in | Built in |
| Skill improvement against results: revenue, meetings, conversion, onboarding | Typically not built in | Built in |
A quick test: ask a few reps which recording-tool features they use, and whether the feedback makes them better.
03 · Vision
One playbook that keeps learning
Example: you introduce SPICED. Here is what it takes to roll it out everywhere.
Revenue AI platforms
- Update five or more places by hand: call scorecard, deal risk view, deal review sheet, forecast criteria, meeting prep scorecard and every document.
- Only the rep’s call feedback changes. RevOps and the CRO do not see what changed.
- New objections and competitors stay in the calls.
Taskbase
- Write or upload the playbook once. Coaching, meeting prep, qualification, deal reviews, forecasting and RevOps and CRO insights all follow it.
- Refine it once. From there the AI coach keeps improving it, with SPICED, MEDDICC, SPIN and Challenger built in.
- It detects new objections and competitors and proposes updates. You approve them.
An interface every rep can shape
Standard software suits most users. Taskbase adapts to each one.
Adoption depends on fit. When every rep shapes their own view, they keep using it.
Revenue AI platforms
- A fixed interface: summary, follow-up email, scorecard, video and transcript.
- You can edit scorecards, not the screen. Every rep gets the same layout.
Taskbase
- Change it by chatting: “Add a deal risk board to my view.”
- New KPIs, more skills to measure, and remove what you do not need.
- Standard interfaces are included. Your team and each rep can change them at any time.
04 · Capture and privacy
Every conversation captured, no bot, names protected
| Revenue AI platforms & recording tools | Taskbase | |
|---|---|---|
| Online calls without a bot: nothing joins the call, less change management | Mostly a bot | Covered |
| Physical meetings, recorded with the app | Limited | Covered |
| Phone calls on iPhone and Android, incoming and outgoing | Rarely | Covered |
| Pseudonymised transcripts, replaced before storage | Not covered | Enterprise plan, additional fee |
How pseudonymisation works: names, birthdays, cities and companies are replaced before storage. Only the changed transcript is stored, and a separate code restores the real names when needed. It is built for European enterprises and makes it easier for data protection teams to approve Taskbase. If your recorder works, keep it: Taskbase connects to Gong, Kickscale and others.
Questions to ask any vendor
Four questions that separate the categories
- 1When a new objection or competitor comes up, how do you detect it, store it and teach it? How important is that to you, from 0 to 10?
- 2Which features do your reps actually use, and does the feedback make them better?
- 3How do your reps record phone calls and in-person meetings today?
- 4How do you measure adoption, time saved and skill growth?
This is our view of the category as of October 2026, based on public information. Features differ by vendor and change often. If something here is out of date, tell us and we will correct it.
See how one AI coach replaces a stack of features
Bring your current setup. We show you the use cases, the playbook and the numbers side by side.