AI Automation Services
AI-powered business automation — document processing, email triage, workflow automation, and AI agents. Reduce manual work by 70–85%. DPDP-compliant.
Automate Your Business →What We Automate
Automation Services
Document Processing & OCR
Extract and validate data from invoices, contracts, KYC forms, insurance claims, and PDFs—regardless of layout or format. Accuracy rates of 95-99% on structured document types. Built with AWS Textract, Google Document AI, and custom NLP models.
Email & Communication Automation
AI reads, categorizes, and responds to incoming emails—trained on your products, policies, and tone. Handles volume that would take hours each day. Human escalation for anything genuinely complex or sensitive.
Workflow & System Integration
Connect your existing tools—Salesforce, SAP, Tally, Zoho, Google Workspace, Razorpay, Shiprocket—into automated workflows. A sales order triggers inventory, creates an invoice, sends a WhatsApp confirmation, and updates your CRM. No manual handoffs.
AI Agent Pipelines
Autonomous agents that research, gather data, make decisions, and take actions across tools—without human input at each step. Useful for lead research, multi-step back-office processes, and competitive monitoring. See AI Agent Development for deep-dive.
Automated Reporting & Analytics
Pull data from databases, SaaS tools, and spreadsheets on schedule. Calculate KPIs, flag anomalies, generate formatted reports in PDF or Excel, and deliver via email, Slack, or WhatsApp. No more Sunday evening number-crunching.
Data Extraction & Enrichment
Scrape, structure, and enrich data from websites, portals, and directories at scale. Lead enrichment, market research, product catalog management—on a schedule, delivered to your CRM or database.
ROI Calculator
Calculate your automation payback
Put in your numbers and see the month you break even — alongside the conservative case, because the optimistic one is the one that gets people into trouble.
Payback
When automation pays for itself
Put in the hours your team currently spends and what they cost. This works out the month you break even — and shows you the conservative case next to it, because the optimistic one is the one that gets people into trouble.
people
hrs / week
Salary plus overheads. Works out to ₹256/hour at 176 hours a month.
Almost nothing hits 100%. Exceptions, disputes and judgement calls stay with a person. Above 80% is optimistic for most back-office work.
What you expect to pay to have it built.
Hosting, API calls, monitoring, fixes.
What you get back
25 hours a week across 3 people, out of 36 currently spent on invoice data entry. That is 1310 hours a year.
Expected case
Breaks even in
20.1 months
Cumulative position, 36 months
If it only works half as well
Automation at 42% instead of 70%, running costs 30% higher. This is the case worth planning against.
On the conservative case this loses money over three years. Either the process is too small to be worth automating, or the build cost needs to come down before it is worth doing.
Estimates only. Real payback depends on how many exceptions the process throws and how clean the data going in is — both are worth checking before committing budget.
Process
How We Implement Automation
Process Mapping
We document the exact current-state process with your operations team—every step, decision point, exception, and tool. Automating a broken or undocumented process makes a mess faster. This step is non-negotiable.
Feasibility & Prioritization
We identify which parts can be automated and which genuinely need human judgment. We prioritize by impact: how long does this take, how often, what does an error cost? Output is a ranked list with ROI estimates for each candidate.
Build & Test
We build in stages using real data from your environment—not fabricated test cases. Every stage is tested against edge cases and exceptions before moving forward. You see working automations in 2-week sprints.
Pilot & Handover
The automation runs in parallel with the manual process for 2 weeks. We compare outputs, resolve gaps, and train your team on monitoring and exception handling. After validation, we hand over documentation and admin access.
Benefits
Why AI Automation
70-85% Time Reduction
Typical results on document processing, report generation, and CRM updates. We measure baseline before starting and track savings monthly. Most projects pay back within 3-6 months when total labor cost and error cost are factored in.
Works With Your Existing Tools
We don't force you to switch ERPs or CRMs. We connect to Salesforce, Zoho, Tally, SAP, Google Workspace, Razorpay, Shiprocket, WhatsApp Business API, and 100+ other tools via APIs or webhooks. For legacy systems without APIs, we use database integration.
Handles Variation, Not Just Perfect Data
Traditional RPA breaks when inputs change. AI automation handles variation—different PDF layouts, missing fields, emails without expected subject lines. It interprets context using NLP and escalates ambiguous cases to humans.
DPDP Act 2023 Compliance Built-In
Automation pipelines that process personal data require consent, data minimization, and cascading delete capabilities. We build these obligations into the architecture from the start. For fintech (RBI) and healthcare (ABDM), we handle sector-specific requirements.
Scales Without Hiring
When order volume doubles, you don't hire 5 more data entry staff. The automation handles it. Cost scales with usage, not headcount. Most clients see 10x volume growth without adding operations staff.
24/7 Operation
Automations run around the clock. Orders placed at midnight are processed immediately. Reports are generated at 6 AM before your team arrives. Exception alerts come via Slack or email in real-time.
Frequently Asked Questions
What tasks are good candidates for AI automation?
Tasks that are high-volume, repetitive, and follow recognizable patterns—even with variation. Invoice processing, email triage, document classification, data entry from forms, report generation, and CRM updates are the most common starting points. If you can describe the steps a person follows to complete a task, it's usually viable. The question is whether ROI justifies the build cost. Tasks done 100+ times per month with 10+ minutes per task are usually strong candidates.
How is this different from Zapier or Make.com?
Zapier and Make are excellent for simple, structured automations between tools with APIs—trigger X in app A, do Y in app B. They break down when inputs are unstructured (PDFs, emails, images), when tasks require judgment or context, or when workflows have complex branching logic with exceptions. AI automation handles these. For many clients the right answer is a combination: Zapier for simple trigger-based flows, custom AI for complex document and communication processing.
How do you measure ROI on automation projects?
Before starting, we establish baseline metrics: how long the task takes, how often it runs, error rate, and cost of errors. After implementation, we measure against that baseline. Typical results: 70-85% time reduction on document processing, 80-95% on report generation, 3-6 month payback period on most projects. For a 20-person team spending 30% of time on automatable tasks, the labor savings alone justify the investment in under 6 months.
Can you integrate with our legacy ERP or on-premise systems?
Usually yes. Modern ERPs (SAP, Oracle, Zoho) have APIs—integration is straightforward. For older systems without APIs, we use database-level integration (direct SQL queries to read/write data) or, as a last resort, UI automation (RPA). We always prefer API-level integration for reliability and maintainability. If your ERP is truly ancient with no database access, we'll discuss workarounds during discovery.
What about DPDP Act 2023 compliance for automation systems?
Under India's Digital Personal Data Protection Act 2023, automation pipelines that process personal data require appropriate consent, data minimization, and the ability to delete a user's data on request. For fintech (RBI guidelines) and healthcare (DISHA, ABDM), there are additional sector-specific requirements. We build these obligations into the automation architecture from the start—consent management, PII redaction, audit logs, and cascading delete workflows.
How long does an automation project take?
Simple document processing or reporting automations: 4-8 weeks. Multi-system workflow automations: 8-16 weeks. AI agent pipelines with complex decision-making: 10-20 weeks depending on tools and decision complexity. We give detailed estimates after the process mapping phase—not based on a brief call. Most projects are delivered in 2-week sprints with working software at the end of each sprint.
What happens when the automation encounters an edge case it can't handle?
We design automations with explicit escalation paths. When confidence is low (e.g., document field is ambiguous, email intent is unclear), the system flags the item for human review and sends a Slack or email alert. You don't discover failures after the fact—you're notified in real-time. Over time, we tune the system based on escalation patterns to handle more edge cases automatically.
Can we start with a small pilot before committing to full automation?
Yes—that's the recommended approach. We start with one high-impact, well-defined task (e.g., invoice processing for one supplier, email triage for one inbox). Build it, run it in parallel with the manual process for 2 weeks, measure results. If ROI is clear, we expand to additional tasks. If not, we stop. Most clients pilot one task (₹3-8 lakhs), then expand to 5-10 tasks within 6 months.
Do you provide ongoing support after the automation is live?
Yes. Automation systems require monitoring and tuning as business processes evolve. We offer monthly retainers (₹1-3 lakhs/month) that include: exception monitoring and resolution, updates when underlying systems or APIs change, performance optimization, and new workflow additions. Most clients stay with us for 12-24 months, then either take over maintenance internally or continue on a reduced retainer.
How much does AI automation cost in India?
Indicative ranges: Simple document processing automation (₹3-8 lakhs), multi-system workflow automation (₹8-18 lakhs), AI agent pipeline with decision-making (₹12-25 lakhs), full back-office automation suite (₹20-50 lakhs). Actual cost depends on number of systems, data volume, and complexity of decision logic. We provide a fixed-cost estimate after process mapping. Most projects have 3-6 month payback periods when labor savings, error reduction, and speed improvements are factored in.
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