Compliance Monitoring Agent
Track permitted public sources, read new notices, and surface the changes a business needs to review.
- Portal
watcher - PDF
reader - AI
extract - Review &
track
HEY, I’M ATUL — AI AGENT & FULL-STACK DEVELOPER
I design agents that watch for updates, understand documents, and move the next step to the right person—backed by custom software built for real operations.
INTERACTIVE SAMPLE / AI AGENT WORKFLOW
Here is how a compliance monitoring agent could process a new circular. Choose a scenario and run the sample to see its decisions. This is a simulation; it does not connect to a live AI service.
Watch a source and collect the new document.
Pull out dates, products, and key changes.
Compare findings against business rules.
Bring a person in when a decision needs one.
Draft a summary and tracker update.
WORKFLOW BLUEPRINTS / WHAT WE CAN BUILD
Examples of practical agent flows I can help design and build. Each one connects a trigger, useful context, a decision, and a clear next action.
Have another idea? Let’s discuss it →Track permitted public sources, read new notices, and surface the changes a business needs to review.
Collect structured information from allowed public pages and keep a clean, searchable dataset up to date.
Capture opted-in leads, qualify them against your criteria, and prepare the right follow-up for your sales team.
Watch shipment milestones, assemble the key details, and prepare a timely pre-alert for the operations team.
Understand incoming questions, find relevant answers, draft a response, and hand complex cases to a person.
Organize DMs and comments, find product or FAQ context, and prepare on-brand replies for review.
Check invoice due dates in Google Sheets, send the same approved reminder by email and WhatsApp, and log each delivery to prevent repeats.
Talk to Angie in Telegram by voice or text. She can transcribe, use approved tools for tasks, calendar and email context, then reply in the same chat.
Join a sales meeting, capture the discussion, assess the Sales Coordinator and Sales Expert, then prepare a management report with client follow-ups and onboarding steps.
Real platforms running real operations today. Built, maintained, and deployed solo.
Showing 10 projects
I built an agent that joins sales meetings and turns the conversation into a structured summary. It assesses the Sales Coordinator and Sales Expert against role-based criteria, prepares a report for management, and identifies the client follow-ups and onboarding steps the team should take next.
| Order | Customer | Status | Type |
|---|---|---|---|
| #48213 | R. Mehta | Delivered | COD |
| #48212 | S. Iyer | Dispatched | Prepaid |
| #48211 | A. Khan | NDR · retry | COD |
| #48210 | P. Nair | RTO | COD |
A complete operations backbone for a D2C apparel brand — agent calling, dispatch and barcode scanning, NDR and returns handling, and live P&L, all in one place.
Watches 35+ government portals around the clock, reads every new notification with AI, and posts structured summaries to a live tracker — so the team stops checking portals by hand.
Moves every order through a 13-step path from sales to finance with approvals, audit trails, and auto-generated paperwork for a 30-person team.
Captures Google and Meta ad leads the moment they arrive, then tracks every follow-up through to close — with Gmail built right in.
An AI agent that autonomously monitors live maritime AIS data for watched vessels — scraping positions across routes, classifying arrival and departure events, and pushing structured alerts the moment a vessel docks or goes underway.
| Client | Next Meeting | Status |
|---|---|---|
| #OSV-114 | 02 Sep | Scheduled |
| #OSV-098 | Overdue | NFD 2/4 |
| #OSV-142 | 05 Sep | Awaiting Feedback |
| #OSV-071 | — | Escalated → TL |
Runs the full courtesy-meeting cycle for 175+ clients — schedules the next meeting, reopens automatically if one's missed, and escalates to the TL after repeated no-shows, without anyone chasing a spreadsheet.
Every lead moves through 10+ tracked stages, each capturing its own required fields — built specifically so every stage is measurable, not just the final win or loss.
Doers log every follow-up and actionable as it happens; Claude reads the full history behind a client and drafts the reply most likely to actually get a response — instead of someone re-reading the whole thread every time.
Sends the accounts team's follow-up emails automatically — an editable template with a live table of pending invoices, an option to save to Drafts instead of sending outright, and a bad-debt view aged from 0–15 days out to 90+.
Whether you need a system built from scratch or your operations automated with AI, you work directly with the person writing the code.
Production-grade web applications tailored to how your business actually runs — not off-the-shelf software you have to bend around.
Purpose-built agents that observe, extract, reason against your rules, and prepare the next action—with a person in control of important decisions.
Atul built our entire order management system from scratch. We went from three tools and two spreadsheets to one clean dashboard. RTO dropped by 0.6% in the first month.
The compliance pipeline saved my team 15+ hours every week. We used to have one person manually checking 35 portals — now it just shows up in a sheet with AI summaries.
What impressed me most was how quickly we went from a vague idea to a working system. Atul asked the right questions, built the right thing, and we've been running on it for 8 months now.
A direct, no-middleman process. You talk to the person building it at every step.
We map exactly how your operation works today and where the friction is.
I propose the system, data model, and scope — clear deliverables, clear pricing.
You see working software early and shape it as it's built, not after.
Live deployment, training, and ongoing support so it keeps running.
Tell me what your business does and where the bottleneck is. I'll tell you honestly whether I can help and what it would take.
Prefer a quick chat? WhatsApp is the fastest way to reach me.