Gentech
AI & Automation

AI Automation

Quick Answer

We automate repetitive business workflows with AI agents, document processing and integrations — measured by cycle time, error rate and cost.

AI Automation for Repetitive Business Workflows

Automation is not about replacing people. It is about removing the repetitive work that stops them from doing the valuable parts of the job: copying data between systems, chasing approvals, reading the same documents and sending the same follow-ups.

We audit your workflows, quantify the time and error cost, then automate the highest-value steps with a combination of AI judgment, deterministic rules and integrations. Every workflow has an owner, a dashboard and a clear failure path, so exceptions reach a human instead of disappearing.

Typical projects include lead follow-up, document intake and review, support triage, report generation and back-office approvals.

Why It Works

Start with the highest-ROI workflow

Measure time, volume and error cost before building, so the first automation pays for itself.

AI where it helps, rules where it doesn't

Use deterministic logic for predictable steps and AI only where judgment is required.

Exceptions reach a human

Approval gates and escalation paths keep edge cases from failing silently.

Measured in production

Track cycle time, volume, error rate and cost after launch.

How We Work

1
Audit

Map the workflow, volume, handoffs, error cost and systems involved.

2
Design

Choose which steps stay human, which become rules and which need AI judgment.

3
Build and integrate

Connect the tools, implement approvals and add logs and rollback paths.

4
Measure and expand

Track the outcome, fix exceptions and move to the next workflow when the numbers hold.

Tools & Platforms We Use

OpenAIAnthropic Clauden8nTemporalPythonTypeScriptCloudflare WorkersPostgreSQLAWS LambdaTwilioWhatsApp Business API

Frequently Asked Questions

What kinds of tasks can actually be automated?
Anything repetitive and rule-based: data entry, invoice processing, report generation, lead routing, follow-up emails and multi-step approval chains. We start by auditing your workflows to find the highest-ROI candidates.
Do we need to be technical to manage the automations afterward?
No — we build with dashboards and clear logs so your team can monitor and adjust triggers without touching code. Deeper changes go through us or your dev team.
How is this different from just using Zapier or Make?
For simple, single-step automations, off-the-shelf tools work fine. We come in when you need AI judgment calls rather than simple triggers, multi-system orchestration, or volume that no-code tools can't handle reliably.
How do you choose what to automate first?
We score workflows by volume, time cost, error rate and implementation risk. The first project is usually high-volume, rule-heavy and low-regulatory-risk.
What does an automation project cost?
Small workflow automations start around ₹1.5-4 lakh; multi-system AI workflows with integrations and approvals typically fall in the ₹5-15 lakh range.