AI work on rails.
Build, deploy, and run AI teams alongside your people.
AI should be staffed as a resource, just like people, machinery, and technology.
PromptRails brings together the platform, controls, and workflows enterprises need to deploy AI into real operations, manage its performance, and improve it over time.
Applications
80%
Less monthly customer-facing presentation work.
Agencies
From 3 weeks
4 days
Time to RFQ.
Textile
30%
More opportunities captured.
Marble
99%
Fewer product-info errors. Listings stay SEO-ready.
E-commerce
Seconds
To answer a board question from numbers you already have.
Management
Not another chatbot.
A workflow operating layer.
Business users get status, approvals, and ownership without changing how the team works. The board gives visibility; email, Slack, Teams, WhatsApp, CRM, and spreadsheets can still be where the work starts and returns.
All the work, one place
Every job your AI teammates are handling — queued, in progress, or waiting for a green light — on one live board anyone in the company can read.
- One-off requests and recurring work, together
- See who is doing what, at a glance
- Nothing goes out without your approval
What buyers ask us first.
Cloud, your VPC, or fully on-prem. For data-sensitive and regulated customers, everything, including models, guardrails, and traces, can run inside your own environment with data residency.
Guardrails and PII masking run on every input and output, with policy checks before anything reaches a model. Every run is traced and auditable, and human approval gates sit wherever you need them.
You own the workflows, data, approvals, and history. Deploy in your own environment and keep full control. The value compounds because it works, not because you are trapped.
We start with one named job, not a programme. An AI teammate drafts the work. Your people approve. You see whether it holds before anything scales.
You can, and you'll spend six to nine months rebuilding guardrails, PII masking, model routing, tracing, and approval flows before the first workflow ships. We hand you that layer on day one, so your engineers spend their time on your business, not on AI plumbing. The comparison isn't cost; it's time-to-control and who carries the risk while you build.
It starts with one paid workflow, so you see real results before a broader platform commitment. From there: an annual platform fee plus setup per agent or workflow, with higher tiers for VPC and on-prem. We put numbers on it when we map the first work, against the work you want to automate.