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DipanshuTechBuilding Digital. Driving Growth.

Automation

AI Automation ServicesRepetitive Work, Handed to Software.

AI automation services for the repetitive work that consumes the team — the workflow design, the model and tool selection, the integration with the systems you already run, the eval suite and the observability that make the automation safe enough to trust in production.

10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served

Overview

AI automation is workflow engineering, not a bot

AI automation is the work of replacing a repetitive human task with a software workflow that uses a model when the task needs judgment. The work is the workflow design, the model and tool selection, the integration with the systems you already run, the eval suite and the observability. The bot is the surface, the workflow is the product.

We build AI automations with the workflow design, the model and tool selection, the integration, the eval suite and the observability as part of the architecture from sprint one. The output is an automation the team can trust in production, not a demo that works on a Tuesday and breaks on a Wednesday.

This is the wrong engagement if the task is genuinely simple (a Zapier) or genuinely complex (a custom software build). We will say so on the call.

  • Workflow Engineering — The workflow, the model, the tools and the integration engineered, not improvised.
  • Human-in-the-Loop — Human approval on the irreversible actions, with the audit log the workflow needs.
  • Evaluated, Not Vibes — An evaluation suite that runs on every change, with the regressions caught early.
  • Cost-Defensible — Token budgets, caching, batching and the cost review that keeps the bill honest.

What we deliver

Everything included in our ai automation services

Workflow Discovery

A written map of the workflow, the inputs, the outputs and the judgment calls.

Automation Architecture

The workflow, the model, the tools and the integration with the systems you already run.

System Integration

The integration with the CRM, the ERP, the helpdesk and the system the workflow lives in.

Evaluation & Guardrails

An evaluation suite, the safety filters and the human-in-the-loop the workflow needs.

Observability & Cost

The dashboards, the alerts and the cost review that keep the automation honest.

Operate & Improve

A monthly review, the eval-driven improvements and the next workflow to automate.

Our process

A proven process for successful delivery

  1. 01

    Discover

    We map the workflow, the inputs, the outputs and the judgment calls.

  2. 02

    Plan & Design

    We design the workflow, the model, the tools and the eval suite.

  3. 03

    Develop

    We build in two-week sprints with the team testing as we go.

  4. 04

    Deploy

    We ship to production with the eval, the human-in-the-loop and the observability live.

  5. 05

    Optimize & Grow

    We read the eval, the cost and the team feedback, and ship the next iteration.

Technology

Built with a stack that stays maintainable

Automation

  • n8n
  • Make
  • Zapier
  • Custom workflows

Models

  • OpenAI
  • Anthropic
  • Google Gemini
  • Open source

Integration

  • CRM APIs
  • ERP APIs
  • Helpdesk APIs
  • Internal systems

Observability

  • LangSmith
  • Helicone
  • OpenTelemetry

What you can expect

Repetitive Work Removed
60-80%Repetitive Work Removed
Pilot to Production
4-8 wksPilot to Production
Human-in-the-Loop on Irreversible Actions
100%Human-in-the-Loop on Irreversible Actions
Improvement Cadence
MonthlyImprovement Cadence

FAQs

Questions we get asked

Something not covered here? Ask us directly.

A workflow discovery, where we map the inputs, the outputs, the judgment calls and the cost of the manual process. The highest-leverage automations are the ones that are repetitive, well-defined and high-volume. The ones that are not (genuinely novel judgment) stay with the humans.

Sometimes, when the task is purely repetitive. Usually, the automation handles the repetitive part and the human handles the judgment. The human-in-the-loop is part of the architecture, with the audit log and the approval path the workflow needs. The goal is to free the human for the work only a human can do.

Against the cost of the manual process and the eval of the automation. The cost of the manual process is the time the team was spending, multiplied by the hourly cost. The eval is the technical metric the team can act on. The two are tied together in the monthly review.

The data is the fuel, and the security is the constraint. We design the workflow to handle the data the use case needs, with the encryption, the access control and the audit log the security review requires. For sensitive data, the workflow runs on your infrastructure, not a third-party service.

Ready to start your ai automation services project?Let’s scope it together.

Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.