Taro is WorksBuddy’s AI task agent that plans, assigns, and tracks work in real time, so teams know who’s doing what and what’s at risk.
27 Feb 2026
Taro
Most teams don't have a productivity problem. They have a clarity problem.
The work exists. The people exist. The hours exist. What's missing is a reliable answer to three questions: who is doing what, by when, and is it actually happening? When no system can answer those questions in real time, managers spend their days chasing updates, team members duplicate effort or miss handoffs, and critical tasks slip quietly through the gaps between tools and conversations.
Taro is WorksBuddy's AI-powered task management tool, built to plan, assign, and track work across entire teams. But calling it a task management tool undersells what it actually does. Taro functions as an active AI agent, one that doesn't just hold your tasks but actively manages them, monitors them, and keeps your team aligned from the moment work begins until the moment it's done.
If you've ever run a team of more than five people, you already know this feeling. You start the week thinking everything is under control. By Wednesday, you're deep in Slack threads trying to figure out whether someone actually picked up that client deliverable, or whether it's still sitting in a Google Doc no one has touched since last Thursday.
This isn't a discipline problem. It's a systems problem.
Most teams stitch together their work management from tools that were never designed to talk to each other. Tasks live in Asana or Trello. Conversations happen in Slack. Updates get requested over email. Priorities change in a meeting that half the team missed. By the time a task should be done, the original instruction has been diluted through five different channels and nobody is quite sure what "done" even looks like anymore.
The result is entirely predictable: missed deadlines, duplicated effort, and managers who spend more time asking "where are we on this?" than actually leading their teams.
Here's the scale of what we're talking about. McKinsey estimates that knowledge workers spend nearly 20% of their time searching for information or chasing status updates. That's roughly one full day per week, per person, spent not on actual work.
For a startup with 20 employees, that's the equivalent of four full-time people whose entire job is just trying to figure out what's happening across the rest of the team.
Multiply that across the global economy and you start to understand why productivity researchers call this the trillion-dollar coordination problem. The tools we have weren't built for how modern teams actually work. They were built for a world where tasks were simple, teams were colocated, and one person could keep the whole picture in their head.
That world doesn't exist anymore.
Today's startup teams are remote or hybrid, move fast, handle multiple priorities simultaneously, and operate across time zones. The informal systems that worked when the company was five people fall apart completely at fifteen. And by the time you hit thirty, you're either running a real system or you're constantly firefighting.
If you're a founder or early-stage startup operator, the task management problem hits differently than it does for enterprise teams. You don't have dedicated project managers. You don't have operations staff to chase things down. You're often wearing four hats simultaneously, and the last thing you have bandwidth for is also being the human system that tracks everyone else's work.
Here's what the day actually looks like without a proper system:
You wake up and there are three Slack messages asking for clarity on tasks you assigned three days ago. Two of those tasks were supposed to be done yesterday. One of them is blocked because someone was waiting on input from a third person who didn't know they were needed. You spend your morning sorting all of this out instead of working on the things that actually move the business forward.
By afternoon, you've had two meetings that existed purely to give status updates, which means six people spent an hour talking about work instead of doing it. And tonight, before you close your laptop, you'll spend thirty minutes building a mental map of where everything stands so you can face tomorrow with some sense of control.
This is the tax that poor task management puts on startups. It's not just inefficiency. It's founder time, the most expensive resource in any early-stage company, being spent on coordination instead of creation.
Research backs this up. IBM reports that 86% of executives believe AI agents will significantly improve process automation and workflow management by 2027. But for startup founders, 2027 is too late. The coordination problem is costing them right now.
Taro is one of several purpose-built tools inside the WorksBuddy platform. Each tool handles a specific domain: Prax for project management, REVO for workflow automation, LIO for lead management, INZO for invoicing. Taro handles tasks. Just tasks. And it does it properly.
Traditional task tools are essentially digital notepads. You type a task in. You assign it manually. You follow up manually. You mark it complete manually. The tool does nothing except store what you put into it.
Taro works differently. It understands context. It responds to what's happening in your business. It assigns work based on who should actually own it, not just who happens to be free. And it tracks progress continuously, flagging what's at risk before it becomes a problem.
The difference between a task tool and a task agent is meaningful. A tool stores information. An agent acts on it.
Taro doesn't wait for a manager to figure out what needs doing and write it all down. When a new project, client, or initiative enters your workflow, Taro helps build out the task structure intelligently, breaking work into clear, assignable pieces with proper ownership and timelines.
This removes one of the biggest blockers most teams face at the start of any piece of work: the blank canvas problem. Nobody knows where to start, so everyone starts slowly. Taro removes that friction by helping structure the work before the team even begins.
Here's where Taro earns its keep as an actual AI agent rather than just a smart to-do list.
Most task tools assign work to whoever you choose manually. You pick a name. The task goes there, regardless of whether that person is the right fit, has the right capacity, or is already buried in other work. The tool doesn't care.
Taro evaluates workload and context when assigning tasks. It considers who should own a piece of work based on role and current capacity, so work distributes sensibly rather than piling onto the same three people who always end up with everything. AI systems that continuously evaluate workloads and reassign responsibilities in real time ensure no team member is overburdened or underutilised. The downstream effect is better work from more engaged people.
Once tasks are assigned and work is underway, Taro tracks everything in real time. Every task has a live status. Every team member's workload is visible. Every approaching deadline is flagged automatically.
No more end-of-week status reports that take three hours to compile. No more "can you give me an update" messages that interrupt deep work. No more surprises on a Friday afternoon when someone realises a critical task has been sitting idle since Tuesday.
This is one of the details that separates a task tool from a task agent. Taro doesn't just display what's overdue. It flags risks before they become overdue.
When a task is trending late, when a dependency is blocked, or when someone's workload is becoming unsustainable, Taro raises the alert proactively. The manager doesn't need to check manually. The team member doesn't need to escalate. The system surfaces the issue before it creates real damage.
This predictive layer changes the entire rhythm of how a team operates. Instead of firefighting, teams can actually prevent fires.
Managing tasks across multiple teams or departments usually means either complete chaos or a manager who has become a full-time information coordinator. Neither is ideal.
Taro provides cross-team visibility in a clean, structured way. Different teams can see their own tasks without being overwhelmed by irrelevant work from other departments, while leadership gets the high-level view they need to understand how everything connects.
A digital marketing agency has twelve clients, each with ongoing deliverables: content, ads, reports, strategy updates. Work comes in constantly. Priorities shift. A new brief from Client A suddenly jumps the queue ahead of something promised to Client B.
Without a system, this is chaos. Account managers are constantly juggling mental lists, work gets duplicated, and occasionally something just doesn't happen because nobody caught that the ball was dropped.
With Taro, every client project generates its own task structure. Each deliverable is assigned to the right person based on their current capacity. When a priority shifts, Taro surfaces the downstream impact on other tasks immediately, so the account manager can make an informed decision rather than discovering the problem after it's already a fire.
At ten people, the founders know everything that's happening. They're in every conversation. They can hold the whole picture in their heads. Then they hire. And hire again. And suddenly the informal systems that worked beautifully at ten people are falling apart at twenty-five.
A SaaS startup in growth mode uses Taro to build the task infrastructure they need to scale without losing speed. Engineering tasks, customer success tasks, sales follow-ups, onboarding actions for new hires. All tracked, all assigned intelligently, all visible to the right people without requiring daily standup calls just to figure out who's doing what.
A product team is spread across London, New York, and Singapore. Handoffs between time zones are where work goes to die. Someone finishes their day, leaves a note in Slack, and the person who picks it up nine hours later either missed the note or misunderstood the context.
With Taro, handoffs are structured tasks, not Slack messages. The status is clear. The next owner is defined. The dependency is tracked. Work moves across time zones without requiring anyone to stay online past midnight to ensure a smooth transition.
An operations team at a fast-growing retail company handles everything from supplier coordination to internal audits to store compliance checks. Their work is task-heavy, deadline-driven, and spread across locations.
Taro gives their ops manager a single view of all active tasks across the team, with automatic flags when something's at risk. Instead of spending four hours per week building a status report from spreadsheets, the manager spends thirty minutes reviewing what Taro has already surfaced and deciding where to focus.
Let's be honest about the landscape. There are a lot of task management tools out there. Asana, Trello, , ClickUp, Notion, Basecamp. They all have real users and real value. So where does Taro actually fit?
Asana is a mature, well-designed task management platform. It handles project structures well and has a strong reporting layer. But it's fundamentally a passive system. You build the task structure. You assign the work. You follow up when things slip. Asana stores and displays your tasks. It doesn't act on them.
Taro's key differentiator is active management. It doesn't just show you that a task is overdue. It flags the risk before it becomes overdue, factors in workload when assigning work, and connects task activity to the broader WorksBuddy ecosystem. For teams that want a tool that does more than organise, Taro operates closer to an agent than a tracker.
Monday.com is highly visual and very flexible. It's popular with teams who want to build custom workflows and dashboards. The trade-off is setup complexity. Monday.com requires significant configuration to deliver value, and it can feel like you're building a mini software product just to manage your tasks.
Taro is built to work intelligently out of the box. The AI does a lot of the configuration work for you by understanding context, recommending assignments, and flagging risks without requiring a dedicated admin to maintain the system.
Trello is simple, visual, and good for small teams with straightforward workflows. It's also fundamentally a Kanban board. It shows you where tasks are in a pipeline. It has no intelligence about who should do what, whether workloads are sustainable, or whether a deadline is at risk.
Taro is a different category of tool. Trello shows you your tasks. Taro manages them.
ClickUp positions itself as an "everything app" and backs that up with a genuinely impressive feature set. Goals, docs, time tracking, whiteboards. For teams that want one platform for everything, ClickUp has a lot to offer.
The downside is the same as Monday.com: complexity. ClickUp requires real investment to set up and maintain. And because it tries to do everything, the task management piece isn't as purpose-built or as intelligently automated as Taro's.
The comparison that matters most isn't between Taro and a standalone task tool. It's between Taro operating within WorksBuddy and a collection of five different tools that don't talk to each other.
Because Taro lives inside WorksBuddy, it connects directly to the rest of your business activity. When a lead becomes a client in LIO, Taro can generate the onboarding tasks. When a project phase closes in Prax, Taro picks up the task handoff for the next phase. When REVO automates a workflow, Taro tracks the resulting actions that need human attention.
In most organisations, the handoff from "something happened" to "someone has a task" is where things fall apart. Taro closes that gap.
This distinction is worth spelling out, because it's the core of what Taro delivers.
Most task tools track tasks. You create it. They store it. They show you it exists. That's the extent of their involvement.
Taro manages tasks. It helps create them when they should exist. It assigns them appropriately. It monitors their progress. It alerts when something's at risk. It gives your team the clarity they need to do their best work without requiring a full-time person to manage the task management system itself.
That's not a subtle difference. That's the difference between a tool that adds to your workload and an agent that reduces it.
Teams using AI-powered task management tools consistently report reductions in time spent on administrative coordination, fewer missed deadlines, better resource utilisation, and higher overall delivery confidence. AI users already save an average of 5.4% of their working hours, roughly 2.2 hours per week, just through intelligent task automation and assistance.
Multiply that across a team of twenty people. That's 44 hours a week returned to actual work. Work that moves the business forward. Work that serves clients. Work that builds things, instead of managing the management of things.
Here's an uncomfortable observation. The teams that don't adapt how they manage work won't just stay still. They'll fall behind the teams that do.
When your competitor's team isn't spending three hours a week chasing task updates, they have three extra hours to build, sell, or serve clients. When their tasks get assigned intelligently and tracked automatically, their managers have more time to lead. When their work doesn't fall through the gaps between tools, their clients have a better experience.
The gap between teams that use AI-assisted task management and those that don't is already widening. Every month that passes without a system like Taro is a month that gap grows a little wider.
The best way to understand what Taro changes is to see it running inside your actual workflow. Not in a demo video, but with your team's real tasks, real priorities, and real workload.
Start your free trial and give Taro a week with your team. You'll quickly see what changes when a system is actively managing your tasks instead of just storing them.
Prefer a guided walkthrough first? Book a demo and let the WorksBuddy team show you exactly how Taro fits your team's structure and starts keeping everyone on track from day one.