AI readiness

Is your distribution strategy AI ready?

Sometime in the next eighteen months, a customer's personal assistant is going to ask your business for a quote. The request will come from their software, not from them. It will put the same structured question to three or four providers and show the customer the answers. There are three practical ways to get ready, and all three run on Subcontext today.

Move one · Your app in ChatGPT & Claude

Show up where your customers' agents already are.

The board questionWhen a customer asks their assistant about a mortgage, a pension or life cover, are you in the answer?

Consumer assistants such as ChatGPT and Claude now support third-party apps. A customer can ask about a financial product inside the tool they already use, and brands with an app there are the ones that get asked. For a large provider this is defensive. For a mutual, a mid-sized firm or an adviser business it is a route to a mass-market audience that does not go through an aggregator or a panel.

What Subcontext delivers

We build and run your app inside ChatGPT and Claude. It can answer questions about your products, check eligibility, quote where you price online and book a callback, using your products and your rules. Every answer is recorded with a full audit trail. See how it works in plain English.

Move two · WebMCP on your website

Make your own website agent-compatible.

The board questionIs your website built for eyes, or for machines?

An agent visiting your website today has to guess. It reads the page the way a person would, works out what the forms probably do, and often gets it wrong. WebMCP is a new browser standard, backed by the major browser vendors and already shipping in Chrome, that lets a site tell an agent what it can do: how to get a quote, what the inputs mean, and what comes back. The standard is young, but it costs little to adopt and most sites will take years to catch up.

What Subcontext delivers

Sites and quote journeys built on Subcontext support WebMCP. The pages declare the same operations that power every other channel, so a visiting assistant gets a quote by calling your functions rather than working out your forms.

Related · Agent2Agent (A2A)

WebMCP covers agents that arrive through the browser. A2A is the equivalent for agents that call you directly: an organisation publishes a card describing what its agent can do, and another agent can open a task with it, server to server. We publish our own at subcontext.com/.well-known/agent-card.json.

Move three · An assistant behind one channel

Run your first assistant as a small test.

The board questionWhere are you allowed to fail cheaply?

Your first live assistant should not be your sales flow. Pick a channel you control, where a wrong answer is recoverable and the compliance surface is small: nurturing leads that have gone quiet, following up unfinished quotes, or a win-back campaign to lapsed customers. The point is what you learn. How consent gets captured, what the audit trail needs to contain and when the assistant should hand off to a human become the operating model for everything that follows. Organisations that do this well treat it as a governance exercise with a commercial by-product rather than an IT project.

What Subcontext delivers

Deploy an assistant behind web chat, WhatsApp, SMS, voice or email, one channel at a time. Boundaries, guardrails, full transcripts and handoff to a named person are built in. Nothing goes live until someone with authority publishes it, and any release can be rolled back. Add the next channel when the first one has earned it.

Y YourBrand assistant Web chat
Enquiry quiet for 6 days → follow-up
Hi Sam, you were asking about remortgaging before your fixed rate ends in March. Want to pick up where you left off?
Maybe. Should I go for a two-year or a five-year fix though?
Advice boundary → handed to Sarah (human)

A channel where a wrong answer is recoverable.

Why now

The groundwork is the same for all three moves.

The FCA has already described this channel. The Mills Review named personal AI agents as a plausible route to closing a protection gap that leaves 15 million UK adults uninsured and 31 million more under-protected, and the same assistants will shop for mortgages, savings and pensions. When the regulator describes a distribution channel before the industry has built for it, that channel is arriving whether or not you are prepared. An agent shopping for a financial product will prefer brands that can answer structured questions and show their working.

All three moves rest on a product a machine can read: eligibility, pricing and product rules held as configuration, and every decision recorded so it can be explained later. The Subcontext platform provides that. Define the product once and the ChatGPT app, the WebMCP site and the channel assistant all work from the same definition, with the same audit trail behind every answer.

Pick your first move.

App, website or a small test behind one channel. We'll tell you which to fund first.