PalPal vs an AI tool you log into.
An AI tool like ChatGPT or Copilot is something you drive: you prompt it, it answers, and you act on the answer. Pal is a managed teammate that does the work itself, inside the tools you already use, tuned to your business and run by us. Tools speed up how you work; Pal takes work off your plate.
Side by side.
Both are useful. They are just not the same thing, so here is where each one sits.
| An AI tool · ChatGPT, Copilot, a chatbot | Pal · managed teammate | |
|---|---|---|
| Who does the work | You do. The tool waits for a prompt and hands back text for you to act on. | The agent does the task end to end: reads the message, pulls the context, prepares the action for approval. |
| How tuned it is | Generic out of the box. It knows the world, not your business, your clients or your process. | Named and tuned for you, with skills and integrations built around how your business actually runs. |
| Who maintains it | You do. Keeping the prompts and workflows useful becomes a recurring job for someone on your team. | We do. Weekly review and steady tuning are the service, so it gets sharper instead of drifting. |
| Where it lives | In one chat window you have to open, copy from and paste back into your real tools. | Inside the tools you already use, like Slack, Teams, email and Xero. The work happens where the work is. |
| Memory & context | A single conversation, mostly forgotten between sessions. Context is your job to re-supply. | A standing dossier of your business and ways of working, so it keeps context across jobs and days. |
| Acting safely | It only suggests. Anything real, you copy out and do by hand, every single time. | It prepares real actions and asks before anything irreversible, with a full audit trail on each one. |
| What it adds up to | A faster way for you to do the work yourself. | A teammate that takes the work off your plate, set up properly doing the work of three to four people. |
AI tools are great when...
A tool you log into is the right reach for a lot of work, and we use them ourselves every day. For quick, one-off tasks, draft an email, summarise a document, talk through an idea, an assistant in a chat window is fast and flexible, and you stay in full control of every word.
They shine when the task lives in your head, not your systems: thinking out loud, exploring options, writing first drafts. There is no setup, no integration, and the cost of being occasionally wrong is just hitting undo.
Pal is for the other kind of work: the repeatable jobs that have to happen reliably, inside your tools, without someone babysitting a chat window. When the task is real and recurring, you want a teammate that owns it, not a tool you keep driving. See how it works, the skillsets we build, and the pricing.
Common questions.
How is Pal different from ChatGPT or Copilot?+
ChatGPT, Copilot and similar assistants are tools you log into and drive. You prompt, they reply, and you act on the reply inside your real systems. Pal is a managed teammate that does the task itself: it lives in your tools, pulls its own context, prepares the action and asks before anything irreversible. You drive a tool. A teammate drives the work.
Can Pal replace the AI tools we already use?+
Often it removes the need to copy work in and out of a chat window, because Pal does the job inside your tools. But the two can coexist. People still use assistants for quick, ad hoc questions, while Pal owns the repeatable jobs that need to happen reliably every day.
Why not just write better prompts in a tool I already pay for?+
You can, and for one-off tasks that is the right move. The problem is upkeep: prompts drift, workflows break, and keeping a tool genuinely useful becomes a standing job. Pal exists so that work is ours, not yours. We build the skills, run the agent and keep it tuned every week.
Does Pal use the same underlying models?+
Pal is built on strong frontier models, but the model is the smallest part. The value is in the skills, the integrations, the dossier of your business and the tuning that makes it act well inside your tools. Model usage is passed through at cost.
Is Pal just a chatbot with a different name?+
No. A chatbot waits for you to prompt it and gives back text. Pal reads the message, gathers the context, drafts the action and prepares it for your approval, inside your real systems. The output is finished work, not a reply you still have to action.
What does Pal cost compared to an AI tool subscription?+
An AI tool is a low per-seat fee, plus the unpriced hours your team spends making it useful. Pal is a managed service from £750 per month per agent, with the setup, running, monitoring and weekly tuning included, and model usage passed through at cost. No lock-in.
Stop driving the tool. Hand over the job.
Pick one recurring job. We will scope a pilot around it and have a named teammate doing it inside your tools.
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