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AI & AUTOMATION

Automate the busywork with AI that actually works.

Your team spends hours every day on invoices, emails, data entry, and status updates that a well-built automation handles in seconds. Dezvo designs and runs AI automations for business — AI agents, n8n and Make workflows, and custom LLM pipelines — with human-in-the-loop checks so nothing embarrassing goes out the door.

See Our Work
Automation toolkit
  • AI agents (Claude / GPT)
  • n8n / Make / Zapier flows
  • Document & email processing
  • CRM + WhatsApp automation
  • Human-in-the-loop approvals
WHAT WE AUTOMATE

Start with the workflow that pays for itself.

Documents & data

Invoices, POs, and forms extracted into your ERP or sheets. Email attachments filed, parsed, and reconciled — with flagged exceptions routed to a human.

Customer support

AI triage and first response on web chat, WhatsApp Business, and Instagram DM — grounded in your docs, escalating to your team when confidence drops.

Sales & marketing ops

Lead enrichment and scoring, quote and proposal drafts, CRM hygiene, follow-up sequences, and weekly pipeline reports that write themselves.

Internal workflows

Approvals, onboarding checklists, report compilation, and cross-tool syncing — the glue work between your ERP, CRM, sheets, and inbox.

FAQ

Common questions, answered.

If your question isn't here, message us — usually same-day reply.

The best candidates are high-volume, rule-plus-judgment work: invoice and document processing, email triage and drafting, customer support (web, WhatsApp, Instagram DM), quote generation, CRM data entry, report compilation, and order-status updates. If a task takes a person 2+ hours a day and follows a describable pattern, it's automatable.

A single-workflow pilot starts from ₹75k (~$1,000) and ships in 2-3 weeks. Most businesses then move to a managed automation retainer — we build, monitor, and extend automations monthly. Typical ROI target: the pilot should save more staff-hours per month than it costs.

n8n (self-hosted) when you want data on your own infrastructure and complex branching; Make or Zapier for fast SaaS-to-SaaS glue; custom LLM pipelines (Claude / GPT with structured output) when the workflow needs real language understanding. We usually mix them — no-code for plumbing, code for judgment.

Human-in-the-loop approvals on anything customer-facing or financial, confidence thresholds that route edge cases to a person, full run logs, retry and fallback paths, and a weekly accuracy review during the first month. Automation should remove busywork, not create silent failures.
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