A Unified Operations Platform with a Private AI Layer
Most companies run on a dozen disconnected tools — finance in one, delivery in another, people and clients somewhere else. SDA built Atlas ERP, a single operations platform that brings them together and adds a private AI layer on top, so teams get answers from their own data without ever handing it to a third-party model.
Finance, projects, people, clients, recruiting, and time tracking unified into a single platform instead of a dozen disconnected tools.
Teams query their own operational data under a bring-your-own-key model, so information stays inside the business and is never used to train a third-party model.
Designed and shipped through agentic development, with AI agents writing, testing, and reviewing code in parallel to reach production scale on a compressed timeline.
Hosted on AWS using AWS Amplify, Amazon CloudFront, Amazon EventBridge, and AWS Lambda for reliable, scalable delivery.
The Idea Behind the Project
The starting point was a problem nearly every growing company shares: the data that runs the business is spread across a dozen tools that do not talk to each other. Finance lives in one system, project delivery in another, and people, recruiting, and client relationships in a few more. Getting a straight answer means exporting spreadsheets and stitching them together by hand.
SDA built Atlas ERP to prove a different model: one operations platform that unifies these domains into a single source of truth, with a private AI layer on top that works on your own data. Instead of sending sensitive information to an outside model, the platform uses a bring-your-own-key approach — your key, your data, kept inside your business.
The platform is real and running in production across people, delivery, finance, and client operations, and it is designed to be deployed for a single organization at a time, with each deployment fully isolated.
Project Challenges
Bringing a dozen operational domains under one roof — without losing the detail each of them needs — is a hard, wide-surface problem. The team focused on three things:
- One source of truth. Unify finance, delivery, people, and client data so every report draws from the same numbers, with a clear audit trail behind them.
- Private by design. Add a genuinely useful AI layer that answers questions about the business while keeping the underlying data inside the customer's own perimeter.
- Delivery at scale, fast. Build and ship a platform of this breadth on a timeline that a traditional team would struggle to match.
Agentic development was the answer to the third: AI agents working in parallel to write, test, and review code, backed by an automated test suite and strict quality checks on every change.
Provided Solutions
One platform, one source of truth
People, time tracking, projects, clients, recruiting, finance, reporting, HR operations, and CRM were brought into a single platform with more than 90 screens. Financial reports — profit and loss, balance sheet, cash flow — all draw from one shared general ledger, so the numbers reconcile by design instead of by spreadsheet.
A private AI layer, under your own key
A built-in AI layer lets teams ask questions of their own operational data and get answers in plain language. It runs on a bring-your-own-key model, so the underlying data stays inside the business and is never used to train an outside model. The same layer drives practical work — drafting proposals, summarizing meeting transcripts, and reviewing candidate profiles.
Built with agentic development
The platform was designed and delivered through agentic development: AI agents writing, testing, and reviewing code in parallel, each change guarded by automated tests and strict quality checks. That approach is what made a platform of this breadth — 12 modules, hundreds of automated tests, dozens of serverless functions — reachable on a compressed timeline.
A modern foundation that runs on AWS
The platform runs on AWS. The web application is delivered through AWS Amplify and Amazon CloudFront, while scheduled work — currency-rate updates, transcription jobs, and finance validations — runs on Amazon EventBridge and AWS Lambda. Data sits in a PostgreSQL database with row-level security on every table and role-based access throughout, so each deployment stays isolated and access stays controlled.
One platform in place of a dozen disconnected tools, a private AI layer that keeps company data inside the business, and a build approach — agentic development on AWS — that turns a multi-year roadmap into a shipping product.
Key Features Overview
Unified operations
Twelve modules — people, time tracking, projects, clients, recruiting, finance, reporting, HR operations, CRM, boards, docs, and administration — in a single platform.
Private AI, your key
A bring-your-own-key AI layer answers questions on your own data and keeps it inside your business, never sharing it with a third-party model.
One financial source of truth
Profit and loss, balance sheet, and cash flow all draw from a single shared general ledger, with period close and full audit trails.
Connected to your tools
Integrations with Jira, HubSpot, GitLab, and Google Workspace bring delivery, sales, and engineering signals into one place.
Secure by design
Row-level security on every table, role-based access, and detailed action logs, with each customer deployment fully isolated.
Runs on AWS
Delivered with AWS Amplify and Amazon CloudFront, and scheduled jobs on Amazon EventBridge and AWS Lambda for reliable, scalable operation.