Start with the work your team needs done
An AI product should be evaluated on a real task: checking an order, preparing a report, updating a CRM or coordinating a customer follow-up. ChatGPT, Claude and Grok now offer more than conversational answers. Their connected tools, agent features and operating boundaries deserve a current, specific comparison.
Dialogo provides ready-made agents for recurring business operations, running on the apps a company already uses (3,000+ apps are connected). Each agent prepares the work and waits for approval before anything is sent.
This is a Dialogo-authored editorial comparison, reviewed on 24 October 2026. It is not an independent performance test.
What each product is built around
| Product | Published approach | What to evaluate |
|---|---|---|
| ChatGPT Work and Workspace Agents | Multi-step work, deliverables and repeatable agents connected to apps | Workspace access, tools, schedules and the required operating record |
| Claude Cowork and Claude Code | Delegated knowledge work and agentic software development | Files, connectors, task environment and review requirements |
| Grok Bot | Persistent computer-backed Bots with collaboration and routines | Shared context, account access, schedules and approval boundaries |
| Dialogo | Recurring cross-system operations with permissions, Approval Gates and a Run Ledger | Required integrations, successful outcomes, intervention and implementation scope |
Read the current first-party descriptions: ChatGPT Work, Workspace Agents, Claude for Work, Claude Code, Grok Bot and Grok Bot skills and routines.
ChatGPT, Claude and Grok are not chatbots that only return text. Per their own documentation, ChatGPT Work and Workspace Agents support repeatable workflows, app connections and schedules. Claude Cowork supports delegated multi-step tasks over files, connectors and a browser, while Claude Code is aimed at software development. Grok Bot describes persistent cloud computers, collaboration and routines. A listed feature is not a measurement of reliability on your workload, so test each product on your own cases.
Dialogo AI
Bring one repeated process. We will map the agents, systems, approvals, and finished outcome.
A focused working session, starting with one real workflow.
| Question to ask each product | What to check |
|---|---|
| What starts a run, and what is reported when an input is stale or a tool fails? | Scheduling, failure visibility and who maintains it |
| Which apps, accounts and records can it reach? | Configured users, tools and permissions |
| What exactly does a person approve? | The action and the inputs being authorized |
| Can interrupted work resume without duplicate changes? | Recovery and duplicate updates |
| Can a reviewer trace the request to the final change? | Available activity records |
Compare a complete workflow
For a delayed order, the job might include checking ERP status, reviewing the account history, preparing a customer response and recording a follow-up. Define which updates are allowed and which communication requires approval.
Give each candidate the same permitted systems and representative cases. Include missing information, conflicting records and a failed tool call. Measure whether the correct records changed, what a person had to fix and whether an investigator can reconstruct the run.
Dialogo’s role is to help configure and run that process across the customer’s tools. Its Run Ledger supports review of actions, approvals and results. Supported model choice and private deployment are requirements to scope and test, rather than reasons to assume every competitor is unsuitable.
Other realistic cases to run: a weekly report that must collect current figures, reconcile an inconsistent order and create follow-up tasks, or a supplier delay notice that matches two plausible orders. Check whether the agent asks for clarification, how the decision is recorded and whether a failed tool call leaves partial changes. Existing ChatGPT, Claude or Grok workflows that already pass these cases can remain the right choice.
Where Dialogo's ready-made agents fit
If the work is a recurring business job rather than an open-ended task, a ready-made agent can save the setup. You connect the apps, the agent prepares its output, and you approve what goes out. Lead Responder drafts a reply to each new enquiry with open calendar slots and a CRM record, and Invoice Chaser drafts a reminder with a pay link for each overdue invoice. Browse the full list on the agents page; each one is free to try.
Choose on evidence
Choose a product on workflow results, control, maintenance and cost. Run a representative pilot and compare completion, corrections, approval behavior and total cost. Some teams use more than one of these tools.
Dialogo’s published operational plans are Starter at €79/user/month and Business from €399/account/month, plus usage. Compare current terms on the pricing page.
Use each vendor's own pricing page for ChatGPT, Claude and Grok, since plans change.