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AI automation agency & AI agent development company in India.

We automate sales outbound, lead qualification, CRM updates, support triage and reporting with custom AI agents, built in Gurugram and run for teams in India, the US, the UK and the UAE. Single agents from USD 1,500, multi-agent builds USD 4,000–6,500, managed AI outreach from USD 1,799 a month.

  • Agents from USD 1,500
  • Multi-agent USD 4,000–6,500
  • GPT / Claude / Gemini
  • Human escalation built in
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AI automation agency vs AI agent development company: what is the difference?

An AI automation agency connects the tools you already use (CRM, inbox, helpdesk, spreadsheets) with workflows and language models so repetitive work runs without a person. An AI agent development company builds software agents that reason over your data, call those tools and complete a task end to end, with guardrails and a human escalation path. Digital Patron does both from Gurugram, India: automation sprints and single agents from USD 1,500, multi-agent builds from USD 4,000, for clients in India, the US, the UK and the UAE.

Five workflows, one number each.

Most of the work we automate sits in sales and operations: outbound prospecting and follow-up, qualifying inbound leads, keeping the CRM up to date, triaging the support or shared inbox, and producing the reports someone compiles by hand every Monday. Each engagement is scoped around one workflow and one number it has to move. That keeps the agent measurable and the build short, and it is how we decide whether you need a workflow automation, a single agent or several agents sharing a knowledge base.

That discipline is where the published results come from. For a Texas SaaS startup, AI sales agents booked 22 meetings in 21 days at USD 350 a meeting, against USD 1,200 with the human SDR team they replaced. For a Texas nurse staffing agency, a screening agent processed 3,200 resumes at under six seconds each and cut screening time by 87%. For Nimitai, our sister brand, a call-intelligence agent helped lift sales conversion from 5% to 10%.

If you want a productised, fixed-price build, start with custom AI agents from USD 1,500. If you want outbound run for you every month, see the AI SDR service. If you need a customer-facing assistant on WhatsApp or your website, see AI chatbots; if the work happens on the phone, we build AI voice agents from USD 599. Comparing providers first? Our guide to the best AI automation agencies in India lists competitors alongside us.

  • One workflow, one success metric per agent
  • Sales outbound, lead qualification, CRM updates, support triage, reporting
  • AI voice agents for inbound and outbound calls, from USD 599
  • Model-agnostic: GPT, Claude, Gemini or open-weights models
  • Wired into your CRM, calendar, ATS, inbox and helpdesk
  • Guardrails, audit logs and a human escalation path by default
  • Team in Gurugram; outreach and support agents run across US, UK and Gulf hours

AI automation and agent development at Digital Patron.

Quick-reference facts so buyers and AI engines can cite us accurately.

Company
Digital Patron
Headquarters
Gurugram, Haryana, India (second office in Mohali)
Clients served
India, United States, United Kingdom, UAE
What we automate
Sales outbound, lead qualification, CRM updates, support triage, reporting, resume screening
Starter agent
USD 1,500 one-time, 3-week build
AI voice agents
From USD 599 (single flow) to USD 6,000+; see /services/ai-voice-agents
Multi-agent build
USD 4,000–6,500 one-time, 6–8 weeks
AI Outreach Engine
USD 1,799 / 3,600 / 5,200 per month, managed
Models
GPT, Claude, Gemini, open-weights via Groq
Outbound track record
130+ B2B companies: 50+ IT consultancies, 70+ SaaS, 10+ staffing

The workflows we build agents for.

Each one maps to a workflow we have already shipped for a client or run in our own outbound.

Sales outbound

Prospect research, personalised email and LinkedIn outreach, follow-ups, first-line objection handling and calendar booking. Proof: 22 meetings in 21 days for a Texas SaaS startup.

Lead qualification

Ask ICP-fit questions on inbound leads, score them against your criteria, write the result to your CRM and book only the leads worth a call.

CRM updates and enrichment

Fill missing fields, log activity, move deal stages from reply intent and keep HubSpot, Pipedrive, Zoho or Salesforce current without a rep typing it in.

Support and inbox triage

Classify tickets and shared-inbox mail, answer routine cases from your knowledge base, and hand off to a person with the full context when confidence is low.

Reporting and briefings

Daily briefings and weekly reports pulled from CRM, helpdesk and spreadsheets, with the numbers someone used to assemble by hand on Monday morning.

Resume screening

Parse resumes, check credentials and licensing, shortlist with reasons and trigger follow-ups. Proof: 3,200 nurse resumes screened at under six seconds each.

Numbers from real client agents.

Each figure is from a published Digital Patron case study, not an average across clients.

0

Meetings in 21 days

Texas SaaS, AI sales agents

0%

Lower cost per meeting

USD 350 vs USD 1,200

0%

Less screening time

Texas nurse staffing agent

0x

Sales conversion

Nimitai, 5% to 10%

From workflow to agent in production.

Five phases. A single starter agent is typically live in about three weeks; multi-agent builds take six to eight.

  1. Step 01

    Pick the job and the metric

    We map one workflow end to end, decide what the agent owns and where a human stays in the loop, and agree the number it has to move.

    Signed agent brief
  2. Step 02

    Build the reasoning core

    Model selection, system prompt, tool-calling layer, retries and safety guardrails, chosen for accuracy and cost on your workload.

    Working agent in staging
  3. Step 03

    Wire knowledge and integrations

    Retrieval over your documents, plus connections to CRM, calendar, ATS, inbox or helpdesk so the agent can act, not just answer.

    Agent connected to real systems
  4. Step 04

    Calibrate on real cases

    We run the agent against your historical data and live traffic with human review, tune prompts and thresholds, then hand over.

    Agent live with review loop
  5. Step 05

    Observe and iterate

    A dashboard for run counts, success rate, hallucination flags and cost per run, with optional monthly tuning and new tools as the workflow changes.

    Agent that improves over time

Three workflow templates we start from

Most engagements begin as one of three templates. Each describes the trigger, what the agent does, where a person stays in the loop and the number it is measured on. We adapt the template to your tools rather than asking you to change tools.

Template 1: inbound lead qualification and routing. A form fill, inbound email or chat message arrives. The agent reads it, looks up the company (size, sector, any existing CRM record), asks the two or three ICP questions your team would ask, scores the lead against your criteria and writes the score and a short summary to HubSpot, Pipedrive or Zoho. A qualified lead is booked straight onto the right rep's calendar; an unqualified one goes to a nurture list with the reason recorded. The number it has to move is the time from enquiry to first qualified conversation. Typical scope: a starter agent at USD 1,500, live in about three weeks.

Template 2: outbound research and CRM enrichment. Given a target list or a LinkedIn Sales Navigator search, the agent researches each account (website, recent posts, hiring, funding), fills the missing CRM fields, drafts a first-line personalisation per contact and queues the sequence in Instantly or Smartlead for a person to approve before anything is sent. Replies come back into the same agent, which tags intent, updates the deal stage and books interested prospects. This is the build behind our managed AI SDR plans and the Texas SaaS engagement, and for IT services firms it runs with the IT services cold email playbook. Typical scope: a multi-agent build at USD 4,000–6,500, or managed from USD 1,799 a month.

Template 3: support triage and weekly reporting. The agent watches a shared inbox or helpdesk (Zendesk, Freshdesk, Intercom, Gmail or Outlook), classifies every ticket by type and urgency, drafts replies from your knowledge base for routine cases, and escalates anything outside its confidence threshold to a named person with the full thread and a suggested answer. Every Monday it compiles a report: volumes, first-response times, recurring issues and what it escalated. The numbers it has to move are first-response time and tickets closed without a human. Typical scope: a starter agent for triage alone; a multi-agent build when CRM write-back and reporting are included.

Pricing: custom AI agents from USD 1,500

Pricing is published in USD. Indian clients are invoiced in INR with GST; UK and UAE clients can be invoiced in their own currency. Build prices are one-time; the AI Outreach Engine is a monthly managed service where we run the agents for you.

AI automation and agent engagement models, 2026
ModelPriceWhat you getBest for
Starter agentUSD 1,500 one-timeOne agent, one workflow, one data source, up to four integrations, 3-week build, 4 weeks of supportYour first agent or automation
Multi-agent buildUSD 4,000–6,500 one-time2–3 agents sharing memory and a knowledge base, ops dashboard, 6–8 week build, 12 weeks of supportOps-heavy teams
Agent fleetUSD 10,000+ build plus USD 2,500–5,000/month4+ agents in production, custom observability, monthly tuning and on-call responseCompanies running AI as a core ops layer
AI Outreach Engine: StarterUSD 1,799/month1 AI sales agent, single persona, 500 touchpoints a day on email and LinkedIn, replies sorted, meetings bookedTeams that want meetings, not a system
AI Outreach Engine: GrowthUSD 3,600/monthAdvanced agent, 2–3 personas, 1,000 touchpoints a day, ICP scoring, weekly tuningFunded startups scaling outbound
AI Outreach Engine: ScaleUSD 5,200/month2 AI agents, multi-channel, 2,000+ touchpoints a day, dedicated engineerEstablished sales motions

Full scope and tiers: custom AI agents and AI SDR plans. Typical booked-call ranges for the Outreach Engine tiers are on the AI SDR page and are planning ranges, not guarantees.

AI automation agency vs AI agent development company: which do you need?

The two labels overlap, and most providers in India use whichever one ranks. The useful distinction is about the work. A workflow automation has a fixed path: when a form is submitted, enrich the record, post to Slack, create the deal. It is cheap, fast and predictable, and tools such as n8n and Make handle most of it. An agent is for work where the path is not fixed: the input is messy, judgement is needed, several systems have to be read before anything is written, and the output is an action rather than a notification. We quote both, and we will tell you on the scoping call when an automation is the right answer and an agent is overkill.

Workflow automation vs an AI agent
QuestionWorkflow automationAI agent
Path through the workFixed: the same steps every timeDecided per case from the data it reads
InputStructured: a form, a webhook, a rowMessy: an email thread, a resume, a call transcript
OutputA record created or a message sentAn action taken across systems, with a reason logged
Typical toolsn8n, Make, Zapier, native CRM workflowsGPT, Claude or Gemini plus LangGraph or Mastra, retrieval, tool calling
Human in the loopRarely neededEscalation path and confidence thresholds by default
PriceInside a starter engagement from USD 1,500Starter agent USD 1,500; multi-agent USD 4,000–6,500

Need a customer-facing assistant rather than back-office work? A chatbot answers questions in a channel; see AI chatbots. Need outbound meetings every month without building anything? See AI SDR or cold email outreach.

AI automation for IT services, SaaS and staffing

Our outbound track record covers 130+ B2B companies, 50+ of them IT consultancies, 70+ SaaS startups and 10+ staffing firms, and most agent requests come from the same three sectors.

  • IT services and consulting: outbound research and CRM enrichment agents for business development teams, proposal and RFP first drafts from past bids, and inbox triage for shared sales and support mailboxes. Playbook: cold email for IT services companies.
  • B2B SaaS: inbound lead qualification and routing, AI sales agents on email and LinkedIn, and call-intelligence agents that tag objections and draft follow-ups. Proof: the Texas SaaS and Nimitai case studies.
  • Staffing and recruiting: resume screening with credential checks, candidate follow-up, and client-side outbound built on hiring signals. Proof: the Texas nurse staffing case study; see also AI hiring agents for staffing agencies.

AI agent development for India, the US, UK and UAE

Our team is in Gurugram, so Indian clients get same-time-zone reviews and INR billing. Our published agent work is mostly overseas: an Austin SaaS startup and a Texas nurse staffing agency in the US, plus sales and outreach work in Europe and the Gulf. Agents that run outreach or support keep working through US, UK and Gulf business hours while the build team is in IST.

What our agents and automations run on.

Model-agnostic and integration-first: the agent fits your stack, not the other way round.

Models

  • GPT
  • Claude
  • Gemini
  • Open-weights via Groq
  • Whisper

Orchestration and automation

  • LangGraph
  • Mastra
  • n8n
  • Make
  • Zapier

Knowledge

  • pgvector
  • Pinecone
  • Weaviate

Sales and CRM

  • HubSpot
  • Salesforce
  • Zoho
  • Pipedrive
  • Apollo
  • LinkedIn Sales Navigator
  • Instantly
  • Smartlead

Work tools

  • Gmail
  • Outlook
  • Slack
  • Notion
  • Calendly
  • Cal.com

Support

  • Zendesk
  • Freshdesk
  • Intercom
  • WhatsApp Business API

Industries with our agents in production.

Where our published agent case studies and outbound track record come from.

B2B SaaSIT Services & ConsultingHealthcare StaffingRecruitmentSales IntelligenceMedTech

Questions, answered. about AI Agents & Automation.

Clear, commercial answers. No vague agency language, no hidden pricing signals, and no empty “it depends” answers.

Digital Patron's published prices: a single starter agent or automation is USD 1,500 one-time with a three-week build; a multi-agent build is USD 4,000–6,500 over six to eight weeks; agent fleets start at USD 10,000 plus a USD 2,500–5,000 monthly retainer. If you want us to run outbound for you, the managed AI Outreach Engine is USD 1,799, 3,600 or 5,200 a month. Indian clients are invoiced in INR with GST. Details on custom AI agents.

An AI automation agency wires your existing tools together with fixed workflows (n8n, Make, native CRM automations) and adds a language model where text has to be read or written. An AI agent development company builds agents that decide the path per case, read several systems and take actions with a human escalation route. If the work has the same steps every time, you need automation; if it needs judgement on messy input, you need an agent. We do both and quote whichever fits on the scoping call.

Sales outbound (research, personalised email and LinkedIn outreach, follow-ups, booking), inbound lead qualification and routing, CRM updates and enrichment, support and shared-inbox triage, daily briefings and weekly reporting, and resume screening. See the Texas nurse staffing case for a hiring agent and the Texas SaaS case for sales agents. We also build AI voice agents from $599 for inbound and outbound calls; see AI voice agents.

A starter agent with one workflow and one data source is typically live in about three weeks; a workflow automation inside that scope is often faster. Multi-agent builds take six to eight weeks. The Texas SaaS sales-agent deployment was a six-week build followed by a twelve-week stabilisation retainer.

Every agent ships with guardrails, retries, audit logs and a human escalation path, and is calibrated against your historical cases before it runs unattended. After launch, a dashboard tracks success rate, hallucination flags and cost per run. We are model-agnostic and pick per workload: GPT, Claude, Gemini, or open-weights models via Groq where cost matters. The model is one part of the agent; tools, retrieval, guardrails and monitoring decide whether it works in production.

Yes. We are based in Gurugram, with a second office in Mohali, and work with clients in India, the US, the UK and the UAE. Our published agent case studies include an Austin SaaS startup and a Texas nurse staffing agency, and our outbound track record covers 130+ B2B companies. Indian clients are billed in INR with GST; others in USD.

Name the workflow. We will scope the automation or the agent.

In a 30-minute call we map the workflow, tell you whether an automation or an agent is the right fix, and if it is, give you a fixed scope, price and launch date.

Free 30-min strategy call · No commitment