Create more, operate less.

More room for the advice.
Execution layer · Live
Governed
Operating time reclaimed · this month
1,247.4hrs
£77,339 of capacity returned to your people
Coding bank transactions
BookkeepingExecuting
Drafting an invoice chase
CollectionsQuantified
Routing a client query
Client serviceDiscovered
Matching invoice to PO+£48
FinanceDone
Human-in-the-loop
A person approves every exception. Accountability is a person — not a policy.
The execution layer

Complex work, handed off end to end.

Governed AI assistants pick up where the last one finished — running your real workflows, in order, from intake to sign-off.

The same execution layer, tuned to the work each industry repeats — see yours:
See how it works →
12%operate AI beyond an assistant
The 4 levels of AI maturity · indicative
Thought partnersLevel 0157%
AssistantsLevel 0231%
TeammatesLevel 03 · A7E operates here10%
End-to-endLevel 04 · A7E operates here2%
01 · Why now

The few who put AI to work will win.

Everyone experiments. Almost no one operates. The firms running AI end to end are pulling ahead — and the gap compounds every quarter.

A7E puts you in that tier from day one — end to end, with your people in control of every exception.

02 · The method

Discovery first. Most platforms hand you a blank canvas — we start with the work.

01

Discover

We surface where repeatable work actually happens across your teams and systems.

02

Quantify

Each opportunity is costed — volume, time saved, and value created — and ranked.

03

Deploy

Governed agents go into production inside your existing systems, in weeks not months.

04

Govern

Approval rules, full audit trail, continuous improvement. A human stays in control.

The full platform →
Find savings · A sample discovery

This is what discovery surfaces in the first fortnight.

Indicative figures from a composite firm serving several hundred clients. Your discovery is costed against your own systems.

Opportunities found
£86,400 /mo

in recoverable time and cost, across six findings.

~£1.04M

a year, at today's rates

1,180 hrs

of manual work / month

6

findings, each with a fix

Bookkeeping

Bank transactions are coded one by one

Across your client base, 180,000 bank lines were coded by hand last month — 78% match a repeating pattern an assistant could clear instantly.

→ Fix: Bookkeeper assistant
£24,000 /mo92%
Close

Month-end close is finishing late

Over 140 monthly closes, the average ran 9.5 days — with handoffs between staff each stalling more than a day.

→ Fix: Month-end close automation
£18,400 /mo90%
Cash flow

Overdue invoices are chased by hand

11,400 invoice follow-ups were sent by hand in 30 days — and went out 3.2 days late on average.

→ Fix: Collections assistant
£16,200 /mo96%
Onboarding

New clients take days to onboard

540 clients onboarded last quarter — averaging 4.5 days across six manual steps and repeated document chasing.

→ Fix: Onboarding concierge
£12,600 /mo84%
Client service

Client emails wait hours for a first reply

24,000 client emails arrived last month; the median first reply was 5h 52m — slow enough to dent retention.

→ Fix: Inbox triage + reply drafts
£9,400 /mo88%
Client service

The same questions get answered over and over

5,100 emails last month matched just five questions your team answers from scratch every time.

→ Fix: Grounded reply assistant
£5,800 /mo81%
Run discovery on your firmEvery finding is traced to the systems it came from — nothing is assumed.
By the numbers
~80%

of your team’s time can go to repeatable, low-judgement work.

3–5×

target return on spend, defensible to finance and operations.

01

named person accountable for every workflow in production.

Hours

not months — from a discovered workflow to a governed system live.

03 · The difference

The market is well funded — and almost all of it still hands you a blank canvas.

Most platforms give you the tools and leave the hard part to you: deciding what to build, and proving it paid off. A7E starts with the work.

Most agent platforms

The blank canvas

  • You identify what to automate
  • You design and maintain the workflows
  • Savings are assumed, rarely measured
  • Governance bolted on after go-live
A7E · discovery first

The work, first

  • We surface the high-value work first
  • We quantify the saving before you commit
  • Governed agents deploy without the blank page
  • Accountability and audit are built in
Start small · prove it · scale

Start with one workflow. Prove the saving. Then scale.

A discovery session maps where the value is hiding and costs it against your own systems — before you commit to anything.

Book a discovery sessionSee how it works