About
A consulting practice built to ship, not to sell slides.
TechAegisAI is a founder-led practice putting agentic AI into mid-market operations. Real workflows, messy data, and a payback you can put on the next board update.
The founder
Suraj Malthumkar
I build agents that run in production, not slideware. Every engagement is scoped to a number, shipped in weeks, and handed to your team to own.
Founder's note
Hi, I'm Suraj.
I've spent the last five years watching smart ops teams get buried under work that didn't need to exist. Spreadsheet reconciliations nobody owns. Ticket triage that burns a person every week. Outreach research that takes two hours to produce context anyone could have pulled.
The tools to fix this exist. They've existed for a while. What's missing is the discipline. Picking the right workflow. Scoping it to an actual dollar number. Shipping working code inside a month, not a quarter.
TechAegisAI is built around that. Every engagement is scoped by KPI. Every project pays for itself in ten working days or we move to a better one. Code, evals, runbooks: all of it ends up in your repos, not ours.
If any of that sounds like the conversation your team should be having, let's talk.
Values
Three rules, no exceptions.
Outcomes over optics
Every engagement starts with a number. If the project can't be written as a before-and-after metric, it's not ready to ship.
Ship in weeks
The first workflow pays for itself in ten working days or we pause and pick a better one. The slow build is the fast build.
You own the result
Code in your repos. Models on your infra. Runbooks your team wrote. When the engagement ends, you don't need us to keep it running.
Journey
How we got here.
2019
First automation
Shipped a reconciliation bot for a retailer's ops team. Saw how much money was sitting behind tooling nobody had bothered to build.
2022
Agents got real
Function-calling changed what was possible inside a single workflow. Started pairing frontier models with domain data on real operational problems.
2025
TechAegisAI
Founded the practice to put agentic AI into mid-market operations. The data's messy and the stakes are real. That's the fun part.
Now
Building the playbook
Every engagement refines it. Every client takes it home. The goal is a practice that outlives any single project.
Methodology
How every engagement runs.
Audit
Two weeks with your team. Every workflow gets mapped, costed, and ranked. Output: a backlog ordered by ROI, not by hype.
Ship
Highest-ROI workflow gets built in the next four weeks. Real code in your stack. Real dashboard tracking the baseline.
Hand off
Playbook, eval harness, and runbook go to your team. We step back. Your next three workflows run without a call to us.
Ready to put AI to work?
60-minute call. No slides. We leave with a scoped plan or tell you you're not ready.