AI is a new layer of your business. It needs infrastructure.

Work that used to take teams now runs on instructions your people write. Done right, this compounds. Done wrong, it gets lost, rebuilt constantly, and is impossible to maintain.

Prompts

Prompts replace units of work in your business - permanently. They run reliably, improve over time and scale to anyone who needs it at near-zero marginal cost. For example: classify incoming support tickets, extract key terms from a contract. Each automation becomes a building block for the next.

As prompts replace core processes they need a platform to scale. Your AI capabilities need to be model agnostic and shouldn't be locked to tooling. GPT-4 was state of the art. Then Claude beat it. Then Gemini got cheaper. When your logic is abstracted from the model, you swap providers and keep working.

Aisle's prompting layer builds and maintains prompts as controlled components abstracted from the underlying models and vendors.

Prompt Components

Workflow Canvas

Workflows

Every company has repeatable processes that are low risk to automate - with measurable output.

Map the process like a factory line. Each step does one job. The prompts you built earlier compound into full process replacements. Broken into parts means easy to maintain and tune over time.

For example, a customer support workflow might classify incoming tickets, route them to the right team, generate response drafts, and update your CRM - all automatically. When one step needs improvement, you fix that step. The rest keeps working.

Chat

Your team is already using AI. ChatGPT subscriptions. Claude accounts. Scattered across tools with no cohesion - and no visibility into what's working. Aisle consolidates this. Your team can chat with all approved models in one place with guarantees on data privacy. As tools change your work history is not lost or requiring constant change.

Aisle chat serves as a distribution layer - providing a useful place for your team to access pre-built Prompts and Workflows. You no longer need to use 3 different portals or low engagement on tooling because employees cannot find it.

Multi-Model Chat

Model Selection

Capabilities Over Lock In

You're building AI into operations. Customer support. Document processing. These become core to how your business runs.

Aisle keeps your capabilities abstract from the plumbing. Prompts work across models. Workflows run independent of any single provider. It becomes easy to take advantage as new models and tools emerge - vs. needing a core rewrite each time.

Models are commodities. GPT-4 was state of the art. Then Claude beat it. Then Gemini got cheaper. It changes quarterly. The plumbing underneath your AI will keep shifting - but your capabilities shouldn't shift with it.

This new layer of your business needs a platform. One place to stay coordinated, remain future-proof, and compound your efforts as you grow.

Think about who won the early internet-not the ecommerce plays, but companies that digitized operations. Digitizing your operations with AI is the most future-proof bet right now. The moat isn't tech or models - it is speed of adoption. Companies getting infrastructure right now will be untouchable.

Aisle is the platform to build AI operations that compound.