Services / 02

Hire an AI automation developer to replace manual workflows.

AI automation services for businesses that want to replace repetitive human work with agentic AI. Email triage, invoice processing, contract review, customer support, scraping — built with Claude, GPT-4 and LangChain, integrated with your existing tools.

§ 01

What you get

Email & messaging automation

AI that reads, categorises and responds to Gmail, Slack, WhatsApp and Telegram at human quality — with a human escalation queue for low-confidence cases.

Document processing

PDF invoices, contracts, purchase orders, KYC documents — parsed, classified, extracted and pushed into your accounting or CRM system.

Browser & web automation

Playwright and Puppeteer agents that navigate sites, fill forms, extract data, handle logins. Combined with LLM reasoning to handle dynamic pages.

Customer support AI

Tier-1 support automation that resolves the 60% of tickets that are repetitive, and routes the rest to the right human with a summary.

CRM & lead workflows

Enrichment from public data, lead scoring via LLM judgement, auto-drafted follow-ups, weekly pipeline summaries written by Claude.

Internal operations

Onboarding checklists that complete themselves, scheduling assistants, meeting summarisers, compliance review bots.

§ 02

How I build it

  1. 01
    Map the workflow
    We record the current manual process end-to-end. What triggers it, what decisions are made, what tools are touched, what the success rate is today.
  2. 02
    Identify the AI edge
    Not every step should be LLM-powered. Deterministic glue where possible; LLM decisions only where needed. Keeps cost and failure modes tight.
  3. 03
    Build the pipeline
    Triggers, tools, LLM agent, escalation queue, logs. A week or two of focused work to reach a working prototype on your real data.
  4. 04
    Shadow mode
    The automation runs alongside the human for a week. We compare outputs, tune prompts, catch edge cases before cutting over.
  5. 05
    Go live + monitor
    Gradual rollout. Dashboards track resolution rate, escalation rate, cost per transaction. You always know what the automation is doing.
§ 03

Stack used

LLMs

Anthropic Claude · OpenAI GPT-4 · Google Gemini · Ollama (self-hosted) · Llama / Mistral

Integration

Gmail API · Slack · WhatsApp Business · Telegram · Notion · Airtable · HubSpot · Salesforce · Zendesk

Browser/scraping

Playwright · Puppeteer · Firecrawl · BeautifulSoup · Selenium

Orchestration

LangChain · LangGraph · Temporal · BullMQ · n8n (where it fits)

Storage

Postgres · MongoDB · Redis · S3 for attachments · Pinecone for knowledge base

Deploy

AWS Lambda + EventBridge · Railway · Vercel cron · Docker on EC2

§ 05

Engagements

Starter

$2,000 – $5,000

One workflow automated end-to-end (e.g. support email triage). 1–2 weeks.

Growth

$8,000 – $18,000

Multi-workflow automation with dashboards, escalations, admin. 3–4 weeks.

Ops retainer

$2,500 – $6,000 / month

Monthly retainer for new workflows, tuning, oncall, quarterly reviews.

Fixed-price or monthly retainer. NDA and IP-assignment standard. Hourly available on request.

§ 06

Frequently asked

What is AI automation?

AI automation is the use of large language models and agentic systems to perform repetitive business tasks that previously required a human — reading email, processing invoices, triaging support tickets, scraping competitor data, drafting contracts, onboarding customers. Unlike classical automation (Zapier, Make), AI automation handles unstructured inputs and ambiguous decisions.

What kinds of business processes can be automated with AI?

Email triage and response, invoice and receipt processing, contract review and clause extraction, customer support triage, CRM enrichment, lead scoring, competitor monitoring, content moderation, onboarding flows, scheduling, and any workflow that today consumes a human reading-writing-deciding loop.

How much does AI automation cost to build?

A single-workflow automation (e.g. auto-categorise and reply to support emails) is $2,000–$5,000. A multi-step automation with integrations, dashboards and admin is $10,000–$25,000. Ongoing operation and LLM API costs are billed separately and typically run $100–$1,000/month depending on volume.

What is the ROI of AI automation for SMBs?

Typical SMB engagements replace 10–40 hours of human work per week at 5–10x the speed. A $5,000 automation that saves 15 hours/week pays back in under a month at ₹1,000/hour blended labour cost.

Do you integrate with Slack, Gmail, Notion, WhatsApp?

Yes. Common integrations include Slack (bots and slash commands), Gmail (IMAP/Gmail API), Notion (database sync), WhatsApp Business API, Telegram, Discord, Zendesk, Intercom, HubSpot, Salesforce.

Is AI automation safe to use on sensitive data?

Yes, with correct architecture. For sensitive data I deploy self-hosted LLMs (Llama, Mistral via Ollama) or use enterprise-tier Anthropic/OpenAI endpoints with zero-retention agreements. PII redaction happens before prompts ever reach a third-party model.

How do you handle automation failures?

Every automation has a fallback to human-in-the-loop. Low-confidence decisions escalate to a queue that a human can review. Every action is logged and reversible where possible. Nothing silently fails.

How is this different from Zapier or Make?

Zapier and Make are deterministic rule engines — if X then Y. AI automation handles the cases where X is ambiguous: a free-text email, a PDF invoice with inconsistent layout, a customer message with unclear intent. I often use Zapier/Make as the integration plumbing and an LLM agent as the decision layer.

Ready to build?

Same-week start. Email reply within 24 hours. Written enquiries welcome.