Free shadow-AI scan

Upload your supplier spend.
See your real AI bill.

Export supplier payments from Xero, QuickBooks or NetSuite, upload the file, and see every AI vendor in your ledger - including the ones nobody told IT about. No integration, nothing installed, nothing stored. Results in minutes.

Scan your ledgerFree - create an account in seconds
7 AI vendors found ILLUSTRATIVE
Shadow-AI scan - result3 months of spend
OpenAI£2,140/moKnown
Anthropic£1,480/moKnown
Writer£1,830/moShadow
Otter.ai$540/moShadow

2 unknown to IT

£2,370/month of AI spend with no owner, no measurement, and a renewal nobody is watching.

How AIchemi works

From free scan to accountable AI programme.

Free Scan

Upload a supplier-spend export. See every AI vendor in your ledger, including shadow spend. Headline free; a free account unlocks the full report.

Free

Self-Service Assessment

Alfred runs a two-week AI-ROI assessment - interviews, measurement, and a board-ready pack. Under two hours of your time.

One-off

On-Going Self-Service

The meter stays on: verdicts refresh monthly, a weekly digest, market alerts. Assessment fee credited.

Recurring

Custom (Human Included)

Optional human help - training your internal AI team, leadership workshops. Priced, scheduled, capped.

Custom

The product - the Audit

A consultant-grade AI audit, run by AI.

Alfred - our AI advisor, built on a working consulting methodology - conducts the whole engagement: it interviews your department heads, reads your ledger, measures what’s really happening, and writes the board pack. Humans are optional, and billable. Only 22% of finance leaders can tie AI spend to business outcomes, and 66% of boards now condition further AI funding on proof of return (“Finding the ROI of AI,” CloudZero, June 2026) - the audit is how you join the 22%.

What Alfred does

Runs the engagement

Intake interview, data checklist, department-head interviews via simple links (no accounts needed), analysis, report. You’re never asked to do more than one thing at a time.

What you get

The board pack

Where your AI money actually goes (shadow spend included), a verdict per department with the evidence attached, an hours-saved value model, and a 30-60-90 plan.

What it costs you

≤ 2 hours of your time

Plus 15 minutes per department head. Two weeks elapsed. Fixed price, paid by card - no procurement expedition.

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The data-gaps appendix. Every pack ends with what the audit couldn’t know and exactly what would close each gap. When the data can’t support a verdict, the pack says “unknown” - it never fabricates a number to look finished. That’s why your board can trust the pages that do have numbers.

How it works - a real walkthrough

Two weeks, start to boardroom.

Maya is ops director at a 140-person firm. Her CFO has asked “what are we getting from all this AI?” two quarters running.

Minute 0-10

The free scan

Maya exports last quarter’s AP lines from Xero and uploads them. No signup for the headline: 7 AI vendors, £5.2k/month - two of them unknown to IT. She forwards the report to the CFO.

“OK - what’s the full picture?” - the CFO, four minutes later

Day 1

She buys the audit

Fixed price, by card, under her approval limit. Alfred’s intake interview takes 20 minutes: departments, the tools she knows about, what the board actually asked.

Days 2-3

Data, one item at a time

Alfred’s checklist: org chart CSV from HR, FTE cost bands, the OpenAI account IT will actually sign off. She skips the rest - Alfred says plainly what skipping costs, and files it for the data-gaps appendix.

Days 4-9

Alfred interviews her department heads

Five heads, one link each, 15 minutes per person - what they use AI for, where the time really goes, what’s friction. Two ignore the first email; Alfred nudges once and tells Maya about the third. Everything captured queues for her confirmation - nothing enters the record without her sign-off.

Days 10-12

The board pack lands

Spend map with the two shadow vendors flagged. Marketing: working, with evidence. Engineering: at risk - spend up, mapped value flat. Finance: honestly unknown, with exactly what would make it knowable. A 30-60-90 plan. Maya presents it at the next board meeting mostly as-is.

Day 14

The meter stays on

The pack’s closing page: the measurement system is already installed - a subscription keeps verdicts fresh monthly, audit fee credited. The CFO, who has now seen evidence instead of vibes, approves. Three months later Maya books a white-glove enablement day for the two teams that want to build their own use cases.

The design rule behind this flow: the customer never does more than one thing at a time, never waits without knowing why, and never hears “unknown” without hearing what would fix it.

The platform underneath

Three data streams. One honest picture.

ROI has three ingredients - who is using AI, what they’re doing with it, and what it costs. Most tools see one. AIchemi connects all three, and Alfred reads them together.

Who - Directory

Your people & departments

Live from your identity or HR system - or a simple CSV. A human review queue guards every change.

  • SCIM 2.0 provisioning
  • HR systems via one unified integration
  • Joiners, movers and leavers tracked
What - Usage

Your AI platforms

Usage and spend synced from the tools your teams actually use, per department.

  • Connectors for five major AI platforms
  • Scheduled daily sync
  • Department-level heatmaps
What it costs - Ledger

Your finance system

Line-level AP data from NetSuite, QuickBooks or Xero - or the CSV you already exported for the scan.

  • Shadow-AI detection from invoices
  • Department coding preserved
  • Never mixes estimates with actuals
One normalized AI ledger. Every AI charge - seat licences, SaaS invoices, API token bills - from NetSuite, QuickBooks, Xero, a CSV export or the platforms’ own APIs, normalized into one line-level model and deduplicated across sources. As AI vendors shift to tokenised, usage-based billing, your ledger becomes the AI meter - and we read it. (Measuring the AI you build - cloud, tokens, COGS? That’s FinOps. Measuring the AI your people use is AIchemi.)

Meet Alfred.

Your AI advisor reads all three streams and delivers judgments, not dashboards: department verdicts each month, goal plans with concrete steps, a weekly digest, and a conversation you can push back on. Alfred remembers what worked at your organisation and gets sharper with every cycle.

“Writer appears in your ledger at $2,300/month, coded to Marketing - but it isn’t connected to any tracked platform. Worth a conversation before renewal.”Alfred - shadow-AI flag (illustrative)

Security & Data

Choose where your data lives - and who your AI runs on.

We publish exactly what we do today and what’s on the roadmap. No badge we can’t defend in a security review.

Tier 1

Standard

Managed cloud, UK-resident. Your database lives in London (AWS eu-west-2), encrypted at rest (AES-256) and in transit (TLS 1.2+), with per-organisation row-level isolation enforced in the database itself. Your data is downloadable in one click, subscribed or not.

All plans - available now
Tier 2

Bring your own AI

Alfred’s analysis runs on your AI provider account - Anthropic, OpenAI or Google - under your key, your data-processing agreement, your retention terms. If your key is ever unreadable, the system fails closed: it stops rather than silently rerouting your data to ours.

Available now
Tier 3

Your cloud

Deploy AIchemi’s data plane in your own AWS, Azure or Google Cloud tenancy - your infrastructure, your region, your compliance regime. Combined with bring-your-own-AI, nothing of ours touches your data. Includes EU-sovereign configurations. We’re building this with our first enterprise partners.

Enterprise roadmap - talk to us
Why we don’t claim sovereignty we don’t have. Any US-headquartered cloud provider can be compelled under the US CLOUD Act to produce data regardless of the region it’s stored in. Our Tier 1 gives you genuine UK data residency; full sovereignty means your own cloud and your own AI provider - which is exactly what Tier 3 + Tier 2 deliver together, and we’ll say “available” only when it is. If a vendor tells you “EU region” equals “EU sovereign,” ask them this question.

What we do today

  • Row-level security scoping every table to your organisation
  • All credentials encrypted at rest; inbound tokens stored as hashes
  • Individual-level usage masked by default - admins see teams, not people
  • Per-organisation AI budget caps and full usage metering
  • One-click data takeout, subscribed or not
  • Adversarial security review as part of every release

Subprocessors

  • Supabase (database - AWS London)
  • Vercel (application hosting)
  • Anthropic (managed AI analysis - unless you bring your own)
  • Stripe (payments)
  • Merge (HR & accounting sync)
  • Sentry (error monitoring)
  • Tavily & Google (market-alert scanning - no customer data)
  • Resend (email - coming soon)

Pricing

Start free. Pay for the audit. Keep the meter running.

Priced per organisation, not per seat - seat pricing punishes exactly the adoption we’re trying to grow.

Free

Free Scan

£0

Upload a supplier-spend export, see your real AI spend in minutes. Headline free; a free account unlocks the full report.

Scan now
One-off

Self-Service Assessment

Founding pricing one-off

The full Alfred-led engagement: interviews, measurement, board pack. Two weeks, ≤2 hours of your time.

Start an assessment
Recurring

On-Going Self-Service

Founding pricing /month

Verdicts refresh monthly, weekly digest, market alerts, goals. Assessment fee credited to year one.

Keep the meter on
Custom

Custom (Human Included)

Per engagement

Human help: train your internal AI team, leadership workshops. Delivered by the founders on a capped calendar.

See services

About

Consultants who got tired of un-measurable advice.

AIchemi encodes a working AI-adoption methodology into software - so the advice arrives with the evidence attached, and every engagement makes the methodology sharper.