Introducing Audrion: Making Compliance Effortless for Fast-Growing Teams
Why Compliance Still Slows Teams Down
For startups and fast-scaling enterprises, compliance is often a roadblock. Instead of focusing on product launches, funding rounds, or expanding into new markets, teams get caught in endless email threads, back-and-forth with auditors, and spreadsheets that never end.
Traditional audits were designed for a slower era. They’re too manual, too fragmented, and too costly for companies that move at today’s speed.
Enter Audrion
Audrion is built with a single promise: make compliance seamless, accurate, and fast.
Our platform integrates directly with the tools your team already uses — from cloud storage to collaboration suites — and automates the painful steps of evidence collection, verification, and reporting.
- Automated integrations pull data from your systems in real time.
- Smart audit agents verify accuracy with zero manual duplication.
- One-click reports help you prepare for SOC 2, ISO 27001, and more without the noise.
The result? Your team spends less time chasing auditors and more time building the business.
Designed for Fast-Growing Teams
Speed That Matches Startup Velocity
Audrion cuts audit cycles from months to weeks, enabling you to close deals and raise funding without delay.
Built-In Transparency
Every report is clear, verifiable, and audit-ready. No hidden steps. No surprises. Just clarity at every stage.
Human + Technology
While automation does the heavy lifting, our expert network ensures every audit stands up to scrutiny — balancing speed with credibility.
import pandas as pd
import numpy as np
df = pd.read_csv("your_file.csv", parse_dates=["rx_month_start"])
max_date = df["rx_month_start"].max()
min_date = max_date - pd.DateOffset(months=12)
df_last12 = df[df["rx_month_start"].between(min_date, max_date)]
all_products = set(df_last12["product_name"].unique())
hcp_month_products = (
df_last12.groupby(["hcp_name", "rx_month_start"])["product_name"]
.apply(set)
.reset_index()
)
hcp_month_products["full_coverage"] = hcp_month_products["product_name"].apply(
lambda x: all_products.issubset(x)
)
hcp_full_coverage_counts = (
hcp_month_products.groupby("hcp_name")["full_coverage"].sum().reset_index()
)
qualified_hcps = hcp_full_coverage_counts[hcp_full_coverage_counts["full_coverage"] >= 6]
result_hcps = qualified_hcps["hcp_name"].tolist()
print("HCPs with 6+ full coverage months:")
print(result_hcps)Designed for Fast-Growing Teams
Compliance should never be a bottleneck. With Audrion, we’re setting a new standard where audits are not a burden, but a competitive advantage.
Teams that adopt Audrion close deals faster, build stronger trust with investors, and scale confidently into new markets.
Final Thoughts
If you’ve ever thought, “There has to be a better way to do audits,” — there is. Audrion was built for you.
Explore how Audrion can simplify your next audit.
