Multiply your team with AI work that runs on rails.
PromptRails puts AI teammates to work inside your company: quotes, collections, reports, follow-ups, and operations. It works through the channels your team already uses, routes important steps through your people, and shows every job on one governed board.
AI work should show up
on the business scoreboard.
PromptRails is not a prompt box. It is a managed way to move recurring work off overloaded teams and into measurable AI workflows, with the result tied to revenue, margin, cost, and cash.
Sell more
Turn incoming requests into quote drafts, missing-info checks, and follow-ups before the opportunity cools down.
Sell better
Check proposals against pricing, margin, terms, and past context before they leave the company.
Lower cost
Move repeat preparation, reporting, reconciliation, and checking work into a controlled AI operation.
Improve cash
Keep receivables, payment risks, and weekly cash summaries moving without depending on manual reminders.
Getting AI to answer is easy.
Getting value from it is not.
The bottleneck is no longer model access. It is turning AI into accountable business work: the right data, the right approvals, the right owner, and a clear record of what happened.
Work stays trapped in people
Quotes, follow-ups, reports, and checks depend on the same overloaded experts. When volume rises, the queue grows.
Demos do not become operations
A chat answer looks good, but the company still needs data access, business rules, approvals, status, and a repeatable runbook.
No one owns the risk
Sensitive data, customer-facing output, and policy decisions need human gates. Without them, AI stays outside real work.
There is no work record
When something fails, teams cannot see what ran, what it cost, who approved it, or how to improve it next time.
Start with one workflow.
Then turn it into AI capacity.
No rip-and-replace, no nine-month platform project. We look at where work and money actually move, deploy an AI teammate into one measurable workflow, and run it with your people in control.
Find the first workflow
We start from your own data and process reality: where margin erodes, where cash slows, where the same people keep carrying repeat work. Then we pick the workflow worth automating first.
Workflow discoveryDeploy the AI teammate
PromptRails connects the data, sets the guardrails, and puts the AI teammate into the channels your team already uses. Requests can arrive by email or Slack; approvals can return there too.
AI teammate liveRun it under your control
Every run is traced, every approval is recorded, and every result is visible. As trust grows, add more workflows, more teams, and higher-control deployment modes.
Cloud · VPC · On-premA real workflow moved
from one week to one day.
Inbound, a marketing agency, ran its monthly client-reporting operation through PromptRails: data from dozens of sources, combined into one governed workflow, delivered as a ready draft.
A five-person team's week-long reporting grind dropped to about a day of review. Measured across the full process, that produced a 37% total process and cost reduction.
Data was fragmented
Platforms, CRM, analytics, and campaign data were collected separately and assembled by hand.
Workflow standardized
Data was combined into one workflow; the client presentation became a ready draft.
Time shifted to judgment
Manual preparation dropped, while review and insight became the main work.
Delivery got consistent
Client output shipped every month with far less manual operational load.
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
Your team keeps working
where work already happens.
The work board gives managers visibility and control. But requests, drafts, approvals, and follow-ups can start and return through the channels your team already checks every day.
The board is for control. The work can happen in the flow.
PromptRails can receive a request by email, ask for missing context in Slack, send a draft for approval in Teams, and log the whole workflow on the board. Your team does not have to live in another product to get the value.
Enterprise control underneath
the simple work board.
Your business teams should not have to think about model routing, PII masking, traces, or deployment posture. PromptRails handles that underneath, so AI work can run with the controls IT, finance, and audit expect.
The control layer, built in
Guardrails, in action
AI should become capacity.
Not another tool to manage.
Copilots and point tools help individuals move faster. PromptRails turns repeat company work into owned, governed AI operations that the business can measure, approve, and expand.
Start where value is visible
We start with one painful, measurable workflow: quotes, collections, reports, follow-ups, or operations.
Simple for teams, serious for enterprise
Business users get a board and approvals. IT and audit get guardrails, traces, deployment options, and ownership.
One workflow becomes an AI workforce
Once one workflow works, add more AI teammates, more departments, and higher-control deployment as trust grows.
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 from your own data to find the one high-friction, measurable workflow worth fixing first. A typical first AI teammate goes from that first look to live workflow in about two weeks, not quarters.
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 in the workflow mapping call, against the work you want to automate.
Where should your first AI teammate start?
Book a 30-minute workflow mapping call. We'll look for the recurring work where AI can improve sales speed, margin, cost, or cash, then show what it would take to put that workflow on rails. If it is not worth deploying, we'll tell you that too.
30 minutes · one workflow · governed AI teammate live in about two weeks