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AI Automation Agency Building Processes on Auto Pilot

If a process is genuinely data-heavy or repetitive, we turn it into an agent. Real, published proof: Kavach, an AI system built for Nayara Energy that watches for the moment a driver's attention starts to slip, running in production.

What We Do

What this covers

Automation applied to real processes

Applied where a process is genuinely data-heavy or repetitive. We say so directly when a process isn't a good candidate.

Agentic systems that run in production

The work runs live, processing real data.

Built to integrate with your existing systems

Automation is architected to connect with your CRM, data platforms, and operational systems.

Measured against real business outcomes

Every automation system is evaluated against what it actually changed for the business, reported honestly.

Human oversight built into the design

Agentic systems are designed with the right human checkpoints for where a wrong call has real cost.

Both the AI and the infrastructure around it

Automation doesn't run in isolation from the systems it needs, so we build both.

Have a process in mind? Talk to us for a no-obligation assessment of whether it's a genuine automation candidate.

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Real Work

What we've actually built

Nayara Energy

Real-Time AI. Kavach watches for the moment a driver's attention starts to slip, running in production.

Bajaj Electricals

Agentic Pricing. DynaPrice automatically fought India's e-tailing price wars, replacing a manual, reactive process.

Tata Motors

1.2M Leads/Month. The Fulcro Lead Orchestrator automates lead routing across five sources to the right call centre, by car model, at scale.

Want to know if your process is a genuine automation candidate? Talk to us for a no-obligation assessment.

Start a Project
How We Do It

How this runs

01

Identify Genuine Automation Candidates

We assess which processes are actually data-heavy or repetitive enough to justify automation, and say so honestly when one isn't.

02

Design the Agent Around the Real Workflow

Automation is designed around how the process actually runs today.

03

Build in the Right Human Oversight

Agentic systems are designed with appropriate checkpoints for where a wrong decision matters.

04

Integrate With Existing Systems and Data

The automation connects to your real CRM, data platforms, and operational tools from day one.

05

Deploy to Production and Measure Real Impact

Systems ship to production, and their impact is measured and reported against real business outcomes.

Processes like real-time dealer and sales-rep performance monitoring, or an automated pipeline that merges GSC, GA4, and website data into one decision view for a CMO, are the same class of problem as Kavach and DynaPrice, applied to a different function. See the fuller picture on the main AI & Agentic Solutions page →

Common Questions

What people ask before the first call

A process that's data-heavy, repetitive, and has enough historical data to train and validate against. We're direct when a process doesn't meet that bar rather than automating it anyway.

Kavach runs in real-time production for Nayara Energy, watching for driver attention lapses as they happen.

Yes. We build both the AI/agentic layer and the infrastructure it needs to run on, so a model doesn't sit with no path to production.

Contact us for an assessment of your process, and we'll tell you honestly whether automation is the right fit.

Let's find one process worth automating first

Start a Project

Page last updated September 10, 2026.