AI automation

Rpa AI built by end-to-end engineers

Next-gen RPA — combine UI-Path-style automation with LLMs to handle unstructured data and edge cases.

Overview

What AI-Powered RPA Services looks like with us

We help fast-moving companies ship Rpa AI with senior engineers, clear scopes, and honest timelines. We bring production discipline: observability, runbooks, rollback plans, and documented handover to your team. Each project has a named lead engineer, a delivery lead, and a weekly written status so there are no surprises. Whether you're a seed-stage startup or a Fortune 500 modernising legacy systems, the engagement shape adapts to your stage.

What we deliver

01Re-training / prompt-tuning workflows documented for your team to own post-launch
02End-to-end automation: design, data pipelines, evaluation harness, deployment, observability
03Production SLAs — not a POC that collapses under real traffic
04Integrations with your existing systems (CRMs, ERPs, ticketing, data warehouses)
05Cost dashboards so you can see token/inference spend against ROI

Use cases

How teams use this

01 / 03

Replace a manual process currently consuming 20+ hours/week of team time

02 / 03

Add AI to an existing product feature without rebuilding the whole workflow

03 / 03

Stand up a greenfield automation that your internal team will own post-handover

Stack we typically work across

OpenAIClaudeLangChainLlamaIndexpgvectorRedisAWS LambdaTemporal

Trusted by teams worldwide

100+ companiesquietlyrunonsystemswebuilt.

FAQs

Common questions

How do you measure success?

Every automation project has 2-3 written KPIs baked into the SoW — for example, time saved per case, containment rate, cost per transaction. We report against them weekly.

What about hallucinations and accuracy?

Every production LLM feature ships with an evaluation harness and confidence thresholds. Low-confidence outputs route to human review. We quote accuracy numbers against labelled samples, not vibes.

What does pricing look like?

Three models: fixed-scope for clear MVPs, monthly retainer for ongoing engineering, or day-rate staff augmentation. We send a written quote within one week of the scoping call.

How fast can we start?

Most engagements kick off within 5-10 business days of the first discovery call. Scoping takes 3-5 days; paperwork (MSA + SoW + NDA) runs in parallel.

Client voices

Whatpeople who shipped with ussayafterwards.

01 / 04

“Engineer Master Labs built our entire AI call center platform from scratch. Their STT model supporting 100+ languages transformed our business completely!”

Tanya Schumann

CEO PreCallAI

02 / 04

“The automation solutions from Engineer Master Labs helped us scale our revenue operations without hiring additional staff. Their lead generation automation is exceptional.”

Moushami Ganguly

Founder RevenueCaptain

03 / 04

“Their AI engineers delivered a robust call automation system that processes thousands of calls daily. The real-time STT capabilities are game-changing for our business.”

Udit Goenka

CEO QCall.ai

04 / 04

“Engineer Master Labs provided exceptional full-stack development services. Their team's expertise in both frontend and backend technologies delivered exactly what we needed.”

Robert C.

CTO FareOf