Automation

AI automation that removes real hours from your week

AI automation applies language models and workflow tooling to repetitive business work: lead handling, follow-ups, quoting, reporting, and support triage. Digital Door Agency scopes, builds, and monitors these systems for Indian SMEs and startups, with human review kept wherever accuracy matters.

Starting investment
From ₹2,50,000
Typical timeline
First automation live in 2 to 3 weeks. Full programmes run 6 to 12 weeks.
Built for
Healthcare, Manufacturing, Professional services, SaaS
Fit

Who this is for

  • Teams doing high-volume manual follow-up and data entry
  • Businesses losing leads because responses take hours
  • Founders spending nights on reporting and quoting
  • Companies with knowledge trapped in documents and chats
  • Processes nobody has documented or owns
  • Businesses hoping automation replaces a broken sales process
Scope

What you get

  • 01Process audit and automation opportunity map with hour and rupee estimates
  • 02Prioritised roadmap: quick wins first, platform work second
  • 03Lead capture, enrichment, scoring, and routing automations
  • 04WhatsApp and email follow-up sequences with AI drafting
  • 05Quote, proposal, and invoice generation
  • 06Internal assistant over your documents using retrieval (RAG)
  • 07Support triage and ticket classification
  • 08Automated reporting dashboards
  • 09Evaluation harness, logging, and human-in-the-loop review points
Process

How the work runs

  1. 01

    Process audit

    Map the work, count the hours, price the waste.

    Week 1 to 2
  2. 02

    Prioritise

    Rank by hours saved over build effort, pick the first three.

    Week 2
  3. 03

    Build

    Ship automation one workflow at a time, in production.

    Week 3 to 8
  4. 04

    Evaluate

    Accuracy testing, guardrails, escalation paths.

    Continuous
  5. 05

    Scale

    Expand coverage and retire manual steps.

    Ongoing
Avoid

Common mistakes

  • Automating a process that should be deleted
  • No human review on anything customer-facing
  • Choosing the largest model for every task and burning budget
  • No logging, so failures are invisible until a client complains
  • Treating automation as a project rather than an operated system
Standard

Our checklist

  • Every automation has a named owner
  • Hours saved measured before and after
  • Escalation path to a human on low confidence
  • Prompt and output logs retained and reviewed
  • Data handling documented and compliant
  • Cost per run tracked
Questions

AI Automation FAQs

What can I actually automate first?

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Lead capture and instant response, follow-up sequences, quote generation, report assembly, and support triage. Those five cover most of the recoverable hours in an SME.

How much does AI automation cost?

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Engagements start at ₹2,50,000 depending on the number of workflows and integrations.

Will it replace my staff?

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In practice it removes the low-value half of their day. We design for human review on anything that touches a customer or money.

What is RAG?

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Retrieval augmented generation. The model answers using your own documents rather than guessing, which is what makes an internal assistant trustworthy.

How do you keep outputs accurate?

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Constrained prompts, retrieval over source documents, evaluation sets, confidence thresholds, logging, and human escalation.

How do you measure ROI?

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Hours saved multiplied by loaded cost, plus recovered revenue from faster lead response, against build and running cost.

Is our data safe?

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We scope data access to what each workflow needs, keep credentials server-side, and document retention. No customer data is used to train third-party models.