Effred Technologies is an automation specialist in Gurugram, India. US companies can hand us the manual work in finance, HR, operations and the back office; across the client deployments we run, our automations remove up to 10,000 hours of manual work a day.
Moving manual work offshore often means moving the same keystrokes to cheaper hours. We would rather take the keystrokes away. Effred Technologies is an automation specialist: we work with many companies and deploy our automations for their finance, HR, operations and back-office teams. Across the client deployments we run, those automations remove up to 10,000 hours of manual work a day.
We use APIs where they exist, RPA where they don’t and AI to read documents and scans, inside the systems you already run, such as Microsoft 365, Google Workspace, Salesforce, NetSuite, ServiceNow or Workday. The first workflow is usually live in three to six weeks on a fixed estimate, and we measure it against the old way before you decide what comes next. See business process and AI automation.
The hours matter, but the bigger change is in how your people work:
The time difference helps here. A standard working day in India falls during the US night, so our team can build and watch your workflows while your office is closed. When a run fails at 2 am in Chicago, it is around midday in Gurugram, and the fix can be in before your morning.
One workflow proves the idea. A Center of Excellence (CoE) turns it into a habit: a small group that decides which processes to automate next, sets the standards for bots and AI agents, and makes sure every workflow has an owner, is monitored and is measured. Effred sets up your Automation & AI CoE, runs it with you and hands it over to your own team whenever you want.
More on our Automation & AI Center of Excellence service, and in our guide to setting up an automation center of excellence.
Automation is where we start, not where we stop. Our clients are in 14 countries, including teams in the US, and our teams can overlap with US working hours. This is the other work we take on for US companies:
Effred SIM, short for Effred’s Super Intelligence for Monitoring, puts autonomous AI agents on your production applications around the clock. They do the operational work themselves: monitoring, troubleshooting, root-cause analysis, patching and issue resolution, with a 100 ms average and 0.5 s maximum response time. It covers Kubernetes, virtual machines, AWS, Azure and Google Cloud, and the databases behind your applications.
The time difference works in your favor here: the agents never sleep, and our engineers in India are at work during the US night. See Effred SIM, and our guide on how to choose an AI monitoring solution.
A standard 9-to-6 day in India ends at 8:30 am in New York in summer, before your day begins. That suits automation, which can run and be watched while you sleep. For people who work with your team, the question is not whether to shift hours, but how far. Shifted hours are available for the Americas.
| India working hours (IST) | New York (ET) | Chicago (CT) | Denver (MT) | Los Angeles (PT) |
|---|---|---|---|---|
| 9 am – 6 pm (standard) | None | None | None | None |
| 2 pm – 11 pm (shifted) | 4.5 h / 3.5 h | 3.5 h / 2.5 h | 2.5 h / 1.5 h | 1.5 h / 0.5 h |
| 6:30 pm – 3:30 am (night shift) | 9 h / 8 h | 8 h / 7 h | 7 h / 6 h | 6 h / 5 h |
For engineering, a shifted day plus a clear written handover usually works best: your morning for stand-ups and reviews, and the team’s hours before your day starts for focused building. A full night shift makes sense for support desks that must answer in your hours, and our IT support and customer support teams work around the clock.
India does not change its clocks; the US does, from the second Sunday in March to the first Sunday in November, so every overlap moves by an hour twice a year. Most of Arizona and Hawaii stay on standard time all year. Put the dates in the team calendar.
| Model | How it works | Best for | Typical |
|---|---|---|---|
| Automation project | We automate one process end to end on a fixed estimate, then measure it against the old way before the next one. | Manual work in finance, HR or operations | First workflow usually live in 3–6 weeks |
| Automation & AI CoE | We set up a Center of Excellence that chooses, builds, governs and measures your automations, run it with you and hand it over to your team whenever you want. | Automating across several teams | Grows from the first workflows |
| Effred SIM | Autonomous AI agents monitor your production applications 24×7, find the root cause and resolve issues within the policies you set. | Applications that must stay up | Around the clock; 100 ms average, 0.5 s maximum response time |
| Staff augmentation | One or more people join your team. You direct the work; we handle contracts, salaries, equipment and compliance in India. | Filling a skill gap fast | From 1 person, monthly |
| Dedicated team | A full squad of engineers, QA and a lead, working only on your product. | New products and long roadmaps | From 3 people, quarterly |
| Project delivery | We build an agreed scope. A short paid discovery ends in a written plan and a fixed estimate; then you see working software every two weeks. | A product or system with a clear scope | Discovery in 1–2 weeks, then two-week sprints |
| Build–operate–transfer | We set up and run a team in India for you, then transfer it to your own entity. | A team of your own in India | 12–36 months |
Contract-to-hire is built in too. Our guide to staff augmentation, dedicated teams and outsourcing compares the people models on control, speed, cost and risk, and our business process automation guide covers what to automate first.
There is no single US privacy law that covers every kind of personal data. What you must put in place with a vendor in India depends on your sector and on where your customers live, and it applies to automated workflows and monitoring agents as much as to people, because logs and traces can hold personal data too:
Two more points help in a procurement review. India is not one of the “countries of concern” in the Justice Department’s Data Security Program, which restricts some data deals with China (including Hong Kong and Macau), Cuba, Iran, North Korea, Russia and Venezuela (28 CFR 202.601 (opens in a new tab)). And India’s own Digital Personal Data Protection Act, 2023 switches off most of its duties for data about people outside India that an Indian company processes under a contract with a client abroad, but keeps the duty to protect it with reasonable security safeguards (sections 17(1)(d) and 8(5), in force from 13 May 2027).
On our side, the NDA and IP assignment are in place before anyone gets access, and our engineers work in your repositories and your accounts, so you decide where the data is hosted.
This is a plain-language summary, not legal advice. Ask your counsel which federal and state rules apply to your data before a vendor sees it.
Comparing vendors? Our guide on how to choose a software development company in India lists the questions to ask each one.
If your team spends its days copying numbers between Tally, Excel, email and WhatsApp, a good part of that work can run on its own. This guide covers which processes to automate first, which tools fit which job, how to estimate the return honestly, what the DPDP Act means for your bots, and how to choose an automation company.
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Yes, and automation is what we specialize in. We deploy automations for finance, HR, operations and back-office teams, and across the client deployments we run they remove up to 10,000 hours of manual work a day. We start with one workflow on a fixed estimate, usually live in three to six weeks, and measure it against the old way before you decide what comes next.
A small group that decides which processes to automate next, sets the standards for bots and AI agents, and makes sure every workflow has an owner, is monitored and is measured. Effred sets one up and runs it with you: our team in India builds and monitors the workflows, your people set the priorities and approve the changes, and we hand it over to your own team whenever you want.
On a standard 9-to-6 day in India, not at all. With a 2 pm to 11 pm India day you share four and a half hours with New York in summer (three and a half in winter), and less further west. Cover for the whole US day means a night shift in India, which is how our 24×7 support teams work.
Yes. Staff augmentation is one monthly invoice at a fixed rate per person, with no placement fee. The first automated workflow gets a fixed estimate once its scope is agreed, and software projects start with a short paid discovery that ends in a written plan and a fixed estimate.
No. The Justice Department’s list of countries of concern is China (including Hong Kong and Macau), Cuba, Iran, North Korea, Russia and Venezuela. You still need the contracts your sector and your customers’ states require, such as a HIPAA business associate agreement or CCPA service-provider terms.
Yes. Effred SIM, Effred’s Super Intelligence for Monitoring, puts autonomous AI agents on your production applications around the clock, with a 100 ms average and 0.5 s maximum response time. They monitor, troubleshoot, find the root cause, patch and resolve issues within the policies and change windows you set; risky actions can require approval, and every action is logged with its evidence.
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We will scope the first workflow and give you a fixed estimate. A person replies within one working day.