# Best AI teammates in 2026: the buyer's shortlist. Source: https://maito.app/compare/best-ai-teammates-2026 Date: 2026-10-14 Author: Dmitry Dubovetzky The best AI teammates in 2026 compared: Maito, Viktor, Claude Tag, Lindy, Tasklet, Adapt, and Dust on shared work, memory, recurring jobs, and price. **The best AI teammates all promise to take work off your team, but each one is built for a different kind of team.** I'm the founder of Maito, and I've used all seven products on this list. Maito is my pick when business people, operations, and developers should work with one teammate. Others win elsewhere: Viktor for companies on Microsoft Teams, Tasklet for a finance team building internal tools, Claude Tag for teams already on Claude. Here's who each one fits, what it costs, and what to check before you buy. ## Key takeaways - **Start with a job your team already owns.** A weekly account review, a customer investigation, or invoice reconciliation gives you something real to compare. Look at the finished work and how much of your people's time it took. - **Shared access and shared memory are different things.** Several people can see a thread without getting the same tools, permissions, or context next time. Ask who can pick up the work and what the agent remembers for the whole company. - **Compare the whole bill.** Maito charges per workspace and your AI provider bills usage separately. Others bundle models into credits or charge per active seat. The starting price tells you how to get in, not what a month of real work costs. - **"Writes code" covers very different jobs.** Running a calculation, building a dashboard, and changing your product's repository are not the same thing. For repository work, ask for the branch, the tests, and the pull request. - **Pick a setup someone will own.** Tools need credentials, recurring jobs need an owner, and instructions need upkeep. The right product makes that easy for the people who'll live with it. ## What is an AI teammate? An AI teammate is an agent your whole team can hand work to. It uses the company context and tools you connect, does the steps, and brings back something people can use: a report, an updated record, a reply, an internal app, or a pull request. The difference from a chatbot is ownership of the work. Someone in support asks about a customer issue. An engineer adds context about the last release. The agent investigates, fixes it, and keeps the result where everyone involved can see it. Recurring work follows the same pattern: check new errors every morning, explain what changed, and ping the right person. The model supplies the intelligence. The agent product supplies everything around it: the place you work, tool access, instructions, permissions, and a record of what happened. Paying for a model doesn't decide how your company shares work or reviews what the agent does. Personal assistants, knowledge search, and fixed automations sit next to this category. A personal assistant works for one person. Search finds information. An automation follows steps someone wired up. Team agents combine parts of all three, which is why a product name tells you little about who owns the work. [Tasklet's guide](https://tasklet.ai/learn/guide) and [Adapt's platform overview](https://adapt.com/product/overview) show two ways of putting the pieces together. Some products are a layer around an agent rather than the agent itself. [Slack Code](https://slack.com/help/articles/54310833022355-Build-with-AI-as-a-team-using-Slack-Code) gives installed agents a shared place to review work in Slack. Pick the job first, then the product that can carry it through with your team. ## Want it done for you? We’ll set up Maito with your team. We connect Slack, your AI provider, repositories, and tools. Then we go through your team’s recurring work with you, turn the processes Maito should own into skills and Loops, and set up the reports and alerts your channels need. Your team starts with a teammate that’s already doing useful work. $999 one time, on top of your $149 monthly workspace. [Book a setup call](mailto:support@maito.app?subject=Maito%20setup) ## How we ranked these AI teammates I'm Dmitry, Maito's founder. I've been a developer and founder for 15 years. I've used every product on this list and worked with several of them for a long time, long enough to see where they help and where their limits become your team's problem. Companies start in different places. Some start with inboxes and meetings. Others need ongoing operations, work across company tools, or changes to their product. Maito was built for the companies that need all of it: one teammate for business people, operations, and developers. That's why Maito is first. For every other product, I say where I'd use it and what I'd check before handing it ongoing work. I combined my own use with each product's pricing, help pages, reviews, and customer stories, and compared them on six things: 1. **Team access:** the minimum paid seats, who gets billed, and who can ask for or continue work. 2. **Finished work:** reports, actions in company tools, recurring outputs, internal apps, and changes to existing repositories. 3. **Context:** whether memory belongs to a person, a channel, an agent, or the company, and how people correct it. 4. **Recurring work:** schedules and event triggers, who owns them, how to pause them, and what happens at a usage limit. 5. **Cost:** the starting price, included credits, seat charges, and separate model or compute costs. 6. **Setup:** the admins, account connections, and permissions it needs, and what someone has to maintain. Credits mean different things at each company, so compare what they buy, not the number. ## The best AI teammates in 2026 These are the seven products closest to a shared teammate. Some give you one standing company agent; others give you a platform to build several. Each pick names the job it's best at and the team most likely to want it. Narrow the list with that, then give your finalists the same real task. ### 1. Maito, best for business work and coding across the whole company **Maito is one AI teammate the whole company works with in Slack, Claude, ChatGPT, Cursor, Codex, Grok, and Muse.** Support can start an investigation, product can add the expected behavior, and engineering can review the fix, all in the same thread. Anyone can join, add context, or pick up where someone left off. [How Maito works](/homepage). The work covers research, reports, customer follow-ups, work in connected tools, and any coding task: features, bug fixes, refactors, code review, QA, and tests. Each coding task runs in its own sandbox and ends with a pull request and your checks. For a customer bug, Maito reproduces it, records a video, collects evidence from logs, writes the fix and tests, opens the pull request, and drafts the reply to the customer. [Maito FAQ](/faq). Maito learns company facts from shared work and saves workflows that worked as skills. Private conversations stay private. Loops turn any assignment into recurring work on a schedule, from a webhook, or on request, and you can pause or change them at any time. Maito costs **$149 per workspace per month** with **unlimited people** and **$20 in monthly credits** for coding sandboxes and web search. Your AI provider bills model usage separately. Optional setup is **$999 once**. Ten people and 25 people pay the same subscription. [Maito pricing](/pricing). **Best suited for:** Companies that want support, product, operations, and engineering working with the same teammate. Choose Maito when business work and code changes belong in the same conversation, with the AI provider your team already uses. ### 2. Viktor, best for companies that work in Microsoft Teams **Viktor is a shared AI employee that works in Microsoft Teams as well as Slack, with model usage included in its credits.** Reports, campaigns, CRM updates, dashboards, internal apps, and code are all part of its pitch. Its catalog lists **3,200+ integrations**. [Viktor product](https://viktor.com/product), [integrations](https://viktor.com/integrations). Viktor keeps personal preferences, company context, and reusable workflow skills separately, and people correct them by talking to it. Recurring jobs run scripts or agent work, so model cost follows what each job actually does. Customer emails and code pushes can require a person's sign-off. [Memory](https://viktor.com/academy/skills-and-memory), [recurring work](https://viktor.com/academy/automating-recurring-work), [controls](https://viktor.com/security). The **Team plan is $100 per workspace per month** with **40,000 shared monthly credits** that cover model usage, and no seat fee. More work means more credits; top-ups and monthly spending caps keep the bill in check. Unused credits carry into the next month, then expire. Product Hunt shows **4.9/5 from 16 reviews**. [Pricing](https://viktor.com/pricing), [billing](https://viktor.com/academy/credits-and-billing), [reviews](https://www.producthunt.com/products/viktor/reviews). **Best suited for:** Companies that work in Microsoft Teams, or that want model usage bundled into one bill instead of paying an AI provider directly. Put Viktor on your list when Teams support is a requirement. ### 3. Claude Tag, best for teams standardizing on Claude in Slack **Claude Tag puts one Claude into a Slack thread that several teammates can direct.** It takes on coding, data, incident, and business work using the organization's identity and the connections set up for that channel. Bigger jobs run in a session tied to the thread, where colleagues can add context or change course. [Overview](https://claude.com/docs/claude-tag/overview), [working sessions](https://claude.com/docs/claude-tag/concepts/how-it-works). Claude Tag is in **beta on Team and Enterprise plans**. An organization Owner sets up its identity, tools, repositories, and channels; installing the Slack app is one step of that. Channel work uses the organization's access and billing. [Availability and setup](https://support.claude.com/en/articles/15594475-what-is-claude-tag). Its memory has clear boundaries. Public channels add to workspace notes; private channels keep their own notes and still read shared workspace context. Routines watch work and post scheduled updates using the channel's connections. [Memory](https://claude.com/docs/claude-tag/users/memory), [routines](https://claude.com/docs/claude-tag/users/proactivity). Claude Team Standard seats cost **$20 per month billed annually or $25 monthly**, for teams of **2–150 people**. Channel usage is billed to the organization on top of seats. Admins control who in Slack can use it. [Claude pricing](https://claude.com/pricing), [access and spending controls](https://claude.com/docs/claude-tag/admins/restrict-access). **Best suited for:** Slack teams that have chosen Claude and have someone ready to set up company access. Choose Claude Tag when standardizing on Anthropic suits you and usage billing on top of seats works for your budget. ### 4. Lindy, best for shared work plus personal inbox and meeting help **Lindy combines a company teammate with a personal assistant for email, calendar, and meetings.** Shared Slack requests sit next to private help, reports, presentations, CRM updates, and internal tools. It fits teams whose day is mostly communication and coordination. [Lindy](https://www.lindy.ai/), [getting started](https://docs.lindy.ai/start-here/quickstart). Personal and team files have different access rules, and skills belong to a person or the whole workspace. Routines run on schedules or events like a new email or a finished meeting. Each person links their own accounts for the workflows that need them. [Memory](https://docs.lindy.ai/teammate/memory), [skills](https://docs.lindy.ai/teammate/skills), [routines](https://docs.lindy.ai/teammate/routines). Team pricing starts at **$49.99 per active user per month** with **5,000 credits per seat**, pooled across the workspace. Ten active users start at **$499.90 a month**. Teammates who use Lindy through Slack take a seat after an introductory period, and top-ups cost **$10 per 1,000 credits**. Monthly credits don't roll over. G2 shows **4.9/5 from 171 reviews**, many about the earlier workflow builder. [Pricing and seat rules](https://www.lindy.ai/pricing), [G2 reviews](https://www.g2.com/products/lindy-lindy/reviews). **Best suited for:** Sales, customer success, and operations teams whose shared work starts in meetings, inboxes, and follow-ups. Choose Lindy when the personal assistant is worth paying for every active person. ### 5. Tasklet, best for business agents that build internal apps **Tasklet gives a team agents that own a business process and build the software around it.** An agent reconciles invoices, handles inbound requests, prepares reports, or builds a dashboard on company data. You work with it in the web and Mac apps, with connected tools for messaging and delivery. [Tasklet](https://tasklet.ai/). Each agent has its own instructions, tools, knowledge, and memory. A new assignment gets a new thread; a new role or access boundary gets a new agent. Colleagues reuse shared agents and connections, and sharing an agent also shares its existing work and data. [Agent guide](https://tasklet.ai/learn/guide), [team sharing](https://tasklet.ai/learn/teams-faq). Starter costs **$25 per organization per month** with **10,000 credits**; Pro is **$100 with 40,000 credits**. Members and agents are unlimited, with no seat fee. Monthly credits expire, and one-time credits last a year. The model, browser work, context size, and how often jobs run all change how fast credits go. [Pricing](https://tasklet.ai/pricing), [credit guide](https://tasklet.ai/learn/quota). **Best suited for:** Operations and finance teams that want agents to run a process and build the dashboards or approval tools around it. Choose Tasklet when usage-based billing suits you better than paying per person. ### 6. Adapt, best for teams that want to configure their own agent platform **Adapt is a configurable agent platform that combines company context, tool connections, execution, and model choice.** Teams use it from Slack, the web, email, and iMessage. Business reporting, internal apps, scheduled jobs, and engineering work all run in it, including issues turned into tested pull requests. [Platform overview](https://adapt.com/product/overview), [Adapt](https://adapt.com/). Knowledge, skills, memory, and live search each have their own job. Admins choose tool access, approvals, budgets, and identities. Templates give you a starting point, and the runtime and Enterprise options give technical teams more to configure. Buying Adapt is a decision about how much control you want to run yourself. [Company context](https://adapt.com/product/company-brain), [agent templates](https://adapt.com/agents), [Enterprise](https://adapt.com/enterprise). Managed costs **$14 per user per month plus usage**: **$140 for ten users** or **$350 for 25**, before metered charges. Bring your own model keys at cost, or pay a **5.5%** markup through Adapt's gateway. Compute is billed separately, including **$0.045 per vCPU-hour** and **$0.0175 per GiB-hour** of memory. Wander and RevSend are among its named customers. [Pricing](https://adapt.com/pricing), [company and customers](https://adapt.com/company). **Best suited for:** Teams with someone who wants to manage agent behavior, model routing, permissions, and infrastructure. Choose Adapt when that control is a requirement and you have a clear owner for it. ### 7. Dust, best for building several agents for different departments **Dust is a platform for building specialized agents, with shared workspaces and connected tools.** Sales builds an account-research agent; support builds another for product questions. Slack access and shared Pods bring the work to colleagues, with permissions on the data and agents involved. [Dust product](https://dust.tt/home/product), [Pods](https://docs.dust.tt/docs/user-documentation/pods/overview). Dust has several layers of context. Agent Memory is private to each user and agent; company data, Pod conversations, and shared skills are reusable across people. Its Computer tool runs code and prepares files, and its GitHub tools cover issues and review. [Memory](https://docs.dust.tt/docs/user-documentation/agents/tools/agent-memory), [Computer](https://docs.dust.tt/docs/user-documentation/agents/tools/computer), [GitHub tools](https://docs.dust.tt/docs/user-documentation/agents/tools/github). Pro seats cost **€30 a month, or €24 a month billed annually**, excluding VAT, with **8,000 monthly credits**. Max seats are **€150 a month, or €120 billed annually**, with 40,000 credits. Teams can mix seat types. Ten Pro seats cost €300 a month, or €240 billed annually, before extra usage. G2 shows **4.6/5 from 87 reviews**. [Pricing](https://dust.tt/home/pricing), [G2](https://www.g2.com/products/dust-dust/reviews). **Best suited for:** Companies with an AI owner who builds agents for several departments. Choose Dust when shared workspaces, agent configuration, and governance are central to how you want to work. ## Side-by-side comparison The same criteria in one table: where the work happens, shared context, recurring work, and the bill. Prices are starting subscriptions in each product's currency, before extra usage and taxes. | Product | Where work happens | Shared work and context | Recurring work | Starting price and what adds to it | | ---------- | ------------------------------------------------- | --------------------------------------------------------------------------------- | -------------------------------------------- | -------------------------------------------------------------------------------------------------- | | Maito | Slack, Claude, ChatGPT, Cursor, Codex, Grok, Muse | One company teammate; shared facts and skills; private conversations stay private | Loops on a schedule, webhook, or request | $149/workspace/month; unlimited people; $20 sandbox and search credits; AI provider usage separate | | Viktor | Slack and Microsoft Teams | Shared agent with personal, company, and workflow context | Script and agent schedules | $100/workspace/month; 40,000 credits including model usage; top-ups | | Claude Tag | Slack | Shared thread sessions; channel and workspace memory | Routines for schedules and follow-ups | Claude Team or Enterprise; Standard $20/seat/month annually or $25 monthly; channel usage extra | | Lindy | Slack, web, email, iMessage | Shared teammate plus personal assistant; team and personal files and skills | Scheduled and event-triggered routines | $49.99/active user/month; 5,000 pooled credits per seat; top-ups | | Tasklet | Web and Mac apps, connected messaging tools | Shared agents, connections, knowledge, and memory per agent | Schedules, webhooks, email, and other events | $25/organization/month; 10,000 credits; no seat fee; extra credits | | Adapt | Slack, web, email, iMessage | Company knowledge, skills, memory, and configured roles | Scheduled jobs and events | $14/user/month plus model and compute usage | | Dust | Dust workspace and Slack | Shared Pods, data, and skills; Agent Memory private per user and agent | Scheduled and webhook-triggered agent runs | Pro €30/seat/month or €24 annually; 8,000 credits; VAT and overage extra | Sources: [Maito pricing](/pricing), [Viktor pricing](https://viktor.com/pricing), [Claude Tag](https://support.claude.com/en/articles/15594475-what-is-claude-tag), [Claude pricing](https://claude.com/pricing), [Lindy pricing](https://www.lindy.ai/pricing), [Tasklet pricing](https://tasklet.ai/pricing), [Adapt pricing](https://adapt.com/pricing), [Dust pricing](https://dust.tt/home/pricing). ## Which AI teammate fits your use case? Find the row closest to the work your team needs done. The last column is what to test before you commit. | Your team | The job | Start with | Test before buying | | ---------------------------------------------------------------- | ------------------------------------------------------------------------- | ---------- | ------------------------------------------------------------------------------------------- | | Support, product, operations, and engineering working together | Investigate an issue, handle the business side, and ship the code fix | Maito | Connect your real tools, run your project's checks, and have a second person take over | | Company that works in Microsoft Teams | Business work and recurring checks without a separate AI provider account | Viktor | Teams support for the actions you need, approval rules, and credits used by a real schedule | | Company that has chosen Claude | One Claude session in Slack with company connections and routines | Claude Tag | Owner setup, memory scope, who gets access, and organization usage billing | | Sales or customer success team with heavy inbox and meeting work | Turn personal assistance into shared handoffs and follow-ups | Lindy | Personal account linking, per-seat charges, and what becomes shared | | Operations or finance team | Run a process and build the dashboard or approval app around it | Tasklet | Agent sharing boundaries, output checks, and the cost of frequent runs | | Technical team that wants to configure its own agent | Control models, tools, budgets, approvals, and execution | Adapt | Configuration options, compute costs, and who maintains it | | Company with a dedicated AI owner | Build and govern several department agents | Dust | Data permissions, memory scope, seat mix, and the exact tool workflow | ## What results do teams report from AI teammates? The useful customer stories name one job and what changed. These three come from the vendors' own case studies, so treat them as examples of what to measure, not as benchmarks. ### Viktor at TWL: recurring reports nobody assembles by hand The Australian retailer set up **12 scheduled workflows across eight Slack channels** in **15 days**. It estimates **two hours of manual work saved per day across five people**, mostly reporting and operational follow-ups. [TWL story](https://viktor.com/case-study/twl). ### Lindy at VC CFO: valuation memos ready for review VC CFO reports **6–8 hours saved per week** and **90%+ usable first drafts** of valuation memos. Analysts still review and sign off on each memo. [VC CFO story](https://www.lindy.ai/case-study/vc-cfo). ### Tasklet at Piping Technology: quotes in 15 minutes The manufacturer has **100+ people using Tasklet**, and preparing a quote from an inbound request went from **four hours to 15 minutes**. [Piping Technology story](https://tasklet.ai/learn/case-studies/piping-technology-products). ### Dust at Vanta: faster quarterly business reviews Vanta estimates **400 hours saved per week** on QBR preparation across 200 sales reps. [Vanta story](https://dust.tt/customers/how-vantas-gtm-team-saves-thousands-of-hours-annually-with-dust). To get numbers like these for your own team, write down how long the job takes today, count review and rework time, and compare the whole job. ## AI teammate FAQ ### What is the difference between an AI teammate and a personal assistant? An AI teammate takes work from the whole team and reuses company context across it. A personal assistant works from one person's accounts and preferences, so the work is hard for anyone else to pick up. ### How much does an AI teammate cost for ten people? Maito is $149 a month for the workspace, Viktor's Team plan is $100, and Tasklet Starter is $25 per organization. Ten Lindy seats start at $499.90 and ten Adapt Managed seats at $140. Those are base prices; compare the included credits and the usage charges in the [comparison table](#section-5). ### How do we know someone else can continue the work? Have one person give the assignment, then have another person change a requirement and ask for the next step. A good AI teammate continues the same work with the same sources and permissions instead of starting over. ### What does an AI teammate remember about our company? Memory belongs to a person, a channel, an agent, or the company, and each product draws the line differently. Teach it one fact, correct it later, and check that a private conversation stays private. ### Can an AI teammate change our existing code? Yes, when it has repository access, a sandbox to work in, and your checks to run. Ask for the branch, test results, and pull request, then review and merge as usual. [Maito's FAQ](/faq) explains how Maito does it. ### What happens to recurring jobs when credits run out? Each product's billing rules decide whether work stops, uses a top-up, or keeps going on overage. Check the plan's cap and expiry rules, and make sure someone can pause and resume the job. ### What should we connect before giving an AI teammate customer work? Connect only the accounts and tools the job needs, and decide which actions need approval before they happen. Go through the permissions with the person who owns each system. ### How should we choose between Maito and another AI teammate? List the job, the people involved, and the tools it needs, then shortlist the products that fit. Give each finalist the same brief and compare the result, the review time, and the full bill.