Bring your own key

Your AI account. Your key.
We hold nothing.

PROVEAiBLE is designed to run your client intake on your organisation's own AI provider account — a direct relationship with Anthropic (Claude), not one filtered through a vendor. When you connect your own key, every AI call is made under your account and your provider's terms, your organisation is the data controller, and we never mark up a token.

Connect · run · hold nothing

You connect your own provider.

Your organisation's AI account — for example Anthropic (Claude) — with your own API key. It stays yours; we never hold it or see your account.

The intake runs on your account.

Every AI call is billed by your provider, under your terms. Identifiers are replaced with role tags before the case-analysis model sees them — so even your own model never works from who the client is.

PROVEAiBLE holds no copy.

The intake is transient. The completed file is deleted on delivery, and — when you configure your own key — the processing happened in a relationship you control, not a vendor's shared account.

Step 01 · Connect
Your Anthropic account Your API key

You bring the key. PROVEAiBLE connects to your account — it never stores the key or logs in for you.

Step 02 · Runs on your account
AI call → your providerBilled to your account, at their rates
Identifiers → role tagsRedacted before the case-analysis model reads a word
PROVEAiBLE → pass-throughMoves it through; keeps no copy of its own
Step 03 · You're the controller
The data stayed in your AI relationship.
ControllerYour organisation, on your own key.
Copies heldNone by us — transient, deleted on delivery.
TrainingOff by default on your provider's API terms.
Your key, your account, your control
01

Connect

Your provider account, your key.

02

Run

Under your account and your terms.

03

Hold nothing

Transient, deleted on delivery.

Connect your providerRuns on your accountYou hold the control
Why it matters for the client

Your clients' information stays inside the AI account you already control.

When intake runs on a vendor's shared AI account, your clients' words are pooled in someone else's relationship with the model. On your own key, the conversation stays inside the account you control — under your provider's terms, not a middleman's.

71%

of US adults say the growing use of AI will make their personal information less secure.1

Pew Research Center, 2026
~half

of employees admit entering non-public corporate or personal data into public GenAI tools.2

Cisco Data Privacy Benchmark, 2025
$4.44M

global average cost of a data breach — the exposure a shared AI account quietly adds to.3

IBM Cost of a Data Breach, 2025
Your name

On your own key, the client's story is processed under your account — not held in a vendor's pool.

The difference BYOK makes
Data control · where it lives
90%of organisations say data they control is inherently safer

Control over where data lives — and whose account it lives in — is now a primary trust factor in AI decisions. BYOK puts your clients' data on the account you already trust.2

Cisco Data Privacy Benchmark, 2025

Stays in your relationship. The story is processed on your own account — not pooled in a vendor's shared one.

Redacted before the model reads it. Identifiers become role tags before the case-analysis model sees them.

Nothing kept afterward. The completed intake is transient and deleted on delivery; incomplete intakes are purged after 90 days.

Not another chatbot

Configured to your provider — and your practice.

A generic bot runs on a vendor's account and asks generic questions. PROVEAiBLE runs on yours — and it's built around the work you take, the way you qualify it, and the rules where you practise, layer on layer.

Layer 01

Your provider & model

Runs on your own AI account and the model you choose. No vendor lock-in — change provider or model without re-platforming your intake.

Layer 02

Your matter types

The work you actually take — not a menu of everything. It asks the questions your practice asks, in your terms.

Layer 03

Your jurisdiction & rules

Tuned to how you prioritise, your auto-decline criteria and the rules where you practise. An organisation across several countries gets one intake that adapts to each.

Layer 04

Your setup, with you

Configured hands-on at onboarding — connected to your account and tuned to your practice before a single client sees it.

That's the difference between an AI that runs in your name and a chatbot that runs in someone else's.

Why it matters for the organisation

Own the AI relationship. No middleman, no lock-in, no markup.

Running intake on your own key changes who's in control. You hold the provider relationship, you pay your provider directly, and — when you configure your own key — your organisation is the data controller. Not a vendor deciding on your behalf.

Control & no lock-in

Yoursthe AI relationship

The intake is yours, not welded to one vendor's account. Change provider or model and it keeps running — you're never trapped by someone else's roadmap or repricing.

No vendor holds your account hostage.

Cost transparency

markup on AI usage

AI usage is billed by your provider directly, at their published rates — we never mark up a token or sit in the middle of your AI spend. You see exactly what the AI costs, on your own bill.

Pay your provider, not a reseller.

A cleaner compliance answer

$4.44Mavg data-breach cost

When you configure your own key you're the controller, on terms you already hold — a cleaner answer for your DPA, your regulator and your clients about where their data goes.³

Source: IBM Cost of a Data Breach, 2025 See the compliance detail →
We never train on your data, and we never mark up a token. Leading providers such as Anthropic also state that, by default, they do not use inputs or outputs from their commercial products — including the API — to train their models. Your clients' words work for your matter, and nothing else. Source: Anthropic Privacy Center — “Is my data used for model training?” ⁴

See exactly how bring-your-own-key fits your data-protection paperwork on our compliance page →

Questions

What organisations ask about BYOK.

What is BYOK (bring your own key)?

PROVEAiBLE's intake is designed to run on your organisation's own AI provider account — for example Anthropic (Claude). You connect your own API key, and every AI call is made under your account and your provider's terms. We never mark up AI usage: you pay your provider directly, and we never hold your key or bill you for a token.

How does it work — where does the data go?

The intake conversation is processed through your own AI account. Identifying details are replaced with role tags before the case-analysis model sees them, and PROVEAiBLE keeps no copy of the completed intake — it's transient and deleted on delivery, with incomplete intakes purged after 90 days.

Who is the data controller?

When your organisation configures its own key, the AI processing happens under your provider relationship — so your organisation is the controller of that data, rather than a vendor pooling it in a single shared account.

Do you train on our data or mark up tokens?

No and no. We don't train models on your data and we never mark up a token. Leading providers such as Anthropic also state that, by default, they do not use inputs or outputs from their commercial products (including the API) to train their models.

Is bring-your-own-key available now?

Bring-your-own-key is how PROVEAiBLE's production intake is designed to run — it's supported in the platform, and we're rolling it out with organisations as we launch. It's the model the product is built around; request a demo and we'll walk you through connecting your own account.

Run it on your own account.

I'll send you a private demo and walk you through connecting your own AI provider account. Or see the full product →

Got it — your demo is on its way. I'll email you a private link shortly. — Andrew

Free, no card, no call.

Sources

  1. Pew Research Center, 2026 (United States) — 71% of US adults think the increased use of AI will make their personal information less secure.
  2. Cisco 2025 Data Privacy Benchmark Study — nearly half of employees enter non-public data into public GenAI tools; 90% see data they control / store locally as inherently safer.
  3. IBM Cost of a Data Breach Report 2025 — global average breach cost USD $4.44M (US average $10.22M).
  4. Anthropic Privacy Center — by default, inputs and outputs from commercial products (including the API) are not used to train Anthropic's models.