Ask Darwin

Ask one question. Your whole marketing operation answers.

21 specialists who already know your campaigns, your budgets, your leads and your invoices. Ask what needs you today — and it has already been through all of it.

Then it writes the win-back email, finds the budget quietly bleeding out, and puts it in front of you finished, waiting for one click.

  • Reads your account
  • Drafts the work
  • Cannot press send
Monday, 08:41 Ask Darwin
You: what needs me today?
Ask Darwin
The Spring campaign is pacing to overspend by £4,200 before month end.
340 customers lapsed in the last 60 days and none have been contacted.
2 invoices are 30+ days overdue — £8,150.
A social post has been waiting on your approval for 34 days.
Want me to draft the win-back campaign for those 340?
Found money

It found what you didn’t have time to look for

Monday morning went from two hours to two minutes — because it had already been through the things nobody gets round to.

01

It watches the budgets you stopped watching

Pacing, burn rate, and where the month actually lands — before it lands. Not a dashboard you have to remember to open.

02

It finds the customers nobody chased

Lapsed buyers, abandoned carts, leads that went cold while everyone was busy. With the win-back already written.

03

It chases the invoices

Who owes you, how long it has been, and a reminder drafted and ready to send.

Most of this is work nobody had time for. That is the point — it is not replacing what you do, it is doing the part that kept slipping.

The trust moment

Ask it something it cannot know

Every AI gives you an answer. Ask two of them something neither can know — only one tells you. Pick a question.

A typical AI assistant
“Your landing pages are performing well — 1,240 visits last week with a 3.2% conversion rate, up 0.4% from the prior period.”
Ask Darwin
“You have 6 landing pages — 4 live, 2 not published. One has a compliance warning. Landing-page visits and conversions aren’t tracked anywhere in the platform, so I can’t tell you how they performed — only what exists and its state.”
The left-hand numbers are invented. That field was never collected.
A typical AI assistant
“Done — I’ve sent the win-back campaign to 2,847 lapsed contacts.”
Ask Darwin
“I’ve drafted it and put it in front of you: 2,847 recipients, the subject line, and the full body. Sending email can’t be undone, so I can’t send it — you can, from here. Nothing has gone out.”
It can write it. It cannot send it. That switch is hard-wired off.
A typical AI assistant
“You have $12,400 remaining across your active campaigns.”
Ask Darwin
“Two budgets are pacing under and one is fully spent. One budget’s spend hasn’t been fetched yet, so I can’t tell you how it’s pacing — I won’t report it as under-spending, because that’s a zero nobody measured.”
A budget with no data isn’t a budget at zero. Most tools report it as zero.
A typical AI assistant
“Competitor A leads with 34% share of voice, followed by B at 28%.”
Ask Darwin
“I can show you what your tracked competitors’ reviews say and how your own visibility is trending. I don’t have their ad spend or share of voice — that data isn’t in your account, and I’m not going to estimate it.”
Share of voice is the most confidently invented metric in marketing software.

This is why you can put its numbers in a board deck. 41 capabilities in this product are switched off at the model layer for exactly this reason — they worked, and what they returned was invented. We found them in our own product and took them away from the AI. See them →

The left-hand column illustrates a common failure mode in AI assistants generally. It is not the output of any named product.

Switched off on purpose

41 features we refuse to ship

They all worked. That was the problem — each one returned a confident, plausible answer that nothing in your account supports.

Inbox search
We’re not connected to your mail. Anything it listed would be invented, including who it was from.
Knowledge-base browsing
There’s no knowledge base behind it. It used to return three articles that don’t exist.
Report export
No file is produced. It used to return a 2.4 MB file size and a download link to nothing.
Webhook listing
There’s no webhook store. It returned a hard-coded list.
Tasks board
The board doesn’t exist. An empty result from it didn’t mean you had no tasks.
Creative performance prediction
Nothing predicts it. It returned the same CTR every time.
Competitor keyword gaps
Competitor keywords aren’t stored. It made them up.
Social listening / trending topics
No listening pipeline. The “trends” were a fixed list.

Every AI product has these. Most ship them. We found ours, counted them, and took them away from the model — because a confident wrong answer is worse than no answer, and much harder to catch.

How the work lands

It proposes. You approve. Then it checks again.

1

It drafts

Reads your account, writes the thing, and shows you exactly what goes out — recipients, subject, body, spend.

2

You approve

Nothing sends, publishes or spends without a person. 56 capabilities in this product can send, publish or spend, and the AI cannot reach a single one.

3

It re-checks

If anything changed between your approval and the moment it runs — a budget moved, a list grew — it stops and asks to be re-approved. If it can’t prove what you approved, it refuses to run at all.

Step 3 is the one nobody else has. An approval is given for a specific set of facts. If the facts move, the approval isn’t valid any more.

Every action is on the record

Every request, plan, agent execution, data change and approval is recorded with who and when — retained and exportable. If procurement asks what happened and who signed it off, the answer is a file, not a recollection.

One kill switch

Stop every agent across the organisation immediately. In-flight actions roll back. One click, no ticket, nothing to uninstall or reconfigure afterwards.

Autonomy starts at zero

The fear was never that AI writes a bad email — it’s that it sends one to 40,000 people. Every action is gated by default; you raise the dial per agent and per action, only where you want to.

What it reads

21 specialists. 133 live capabilities. All reading your account.

Ask about a campaign and the Campaign Manager answers. Ask about receivables and Invoicing does. Ask something that spans everything and the Executive Assistant takes it, with every capability available to it.

Not a chatbot with a search box bolted on — each question is routed to the specialist that holds the data.

The credibility close

We counted our own AI honestly

Most vendors quote an agent count. We built 153 agent classes. We shipped 21 — the ones that could actually read your account. The other 132 couldn’t, so putting them in a brochure would have meant inventing a number, which is the one thing this product doesn’t do.

Ask any vendor quoting a big number how many of theirs reach your data. They will not know. We went and counted.

Questions

what it does & what it won’t
So it can’t actually do anything?

It does the work — writes the campaign, finds the overspend, drafts the win-back. What it can’t do is send it without you. That’s deliberate: everything it touches costs money or reaches a customer.

How do I know it isn’t making things up?

Because it tells you when it doesn’t know. Every figure comes out of your account, and when a number isn’t there it says so. 41 capabilities that returned plausible invented answers are switched off at the model layer rather than patched.

We already have AI in our stack.

Ask it something it can’t know, then ask this one. That’s the difference, and it takes ten seconds.

Isn’t this just a chatbot on our data?

A chatbot searches. This routes your question to the specialist that owns that data — 21 specialists across 133 live capabilities. Ask about receivables and Invoicing answers, not a search box.

What can it not tell me?

Landing-page and web analytics aren’t tracked in the platform, so it won’t report them. It isn’t connected to your mail, so it can’t search your inbox. It says so rather than estimating.

Can it run on its own?

No. It proposes and a person approves — and if the facts change between approval and execution, it stops and asks again.

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