AI & Automation
AI that works while your team sleeps.
We build AI systems that automate the repetitive, error-prone work your team does every day — from document processing to customer support to internal workflows. Not chatbots. Not gimmicks. Production systems that save real hours.
Popular starting pointThe problem
What this solves.
- Your team spends hours daily on repetitive data entry, email routing, or report generation.
- Customer queries take hours or days to respond to, not minutes.
- Invoices, contracts, and forms arrive in inconsistent formats requiring manual processing.
- Information is scattered across Slack, docs, wikis, and email threads.
- Manual processes introduce errors that cost money and trust.
Who it's for
What we build
Concrete systems, not slideware.
Workflow automation that connects any system (CRM, ERP, Slack, email, APIs)
Intelligent document processing for invoices, contracts, forms, and reports
Customer support AI that resolves without human handoff
Internal knowledge agents that answer in plain English
WhatsApp AI for customer-facing workflows
Sales follow-up and lead nurturing automation
Finance automation — reconciliation, reporting, alerts
Operations dashboards that think, not just display
Integrations
Systems we connect to.
We integrate with your existing stack. No rip-and-replace.
- Salesforce, HubSpot, Zoho CRM
- Google Workspace, Microsoft 365
- Slack, Microsoft Teams
- SAP, Oracle, QuickBooks
- WhatsApp Business API
- Custom APIs and databases
- Stripe, Razorpay, payment gateways
- AWS, GCP, Azure cloud services
- FHIR/HL7 for healthcare
- Shopify, WooCommerce, e-commerce
The process
How the build actually happens.
Map the workflow
We identify the exact processes eating your team's time and quantify the cost. One to two weeks.
Design the system
Architecture, data flow, integrations, and the AI model approach. You see exactly what we'll build.
Build the automation
AI-native from the first commit. Working demos every two weeks. No black boxes.
Test with real data
We run the system against your actual documents, queries, and workflows. Measure accuracy.
Deploy and iterate
Production-ready, monitored, and improving. We stay in the room as the system learns.
Pricing
Transparent, starting at a clear number.
You won't need to guess our pricing. Every engagement starts at a published number, scoped to your problem.
- 20+ hours saved per week across the team on Day 1
- Error rates drop below 1% for document processing
- Customer response time from hours to sub-minute
- Staff redeployed from data entry to higher-value work
- System improves automatically as it processes more data
₹5,00,000 starting
₹5L–₹12L typical
Timeline: 3–6 weeks
Final pricing depends on scope, integrations, and data complexity.
Get a quote ↗Why Sitio Labs
Builders, not vendors.
Same team that built 5 AI products of our own — we know what production AI looks like
AI is the primary building material, not a feature added later
No black boxes — you see the system, understand the data flow, own the code
Fixed scope, honest pricing, no surprise bills
Built in India. Built for the world. The same studio that ships products for us ships products for you.
Questions
Honest answers.
How accurate is AI document processing?
For structured documents (invoices, forms, contracts), we typically achieve 95–99% accuracy on first deployment, improving to 99%+ as the system learns your data patterns. We test against your real documents before going live.
Will this replace our team?
No. AI automation handles the repetitive first pass. Your team handles the exceptions, the judgment calls, and the relationships. The result: your team does more valuable work, not less work.
What if the AI makes a mistake?
Every automation includes human-in-the-loop checkpoints for high-stakes decisions. The system escalates edge cases to your team with full context. Nothing irreversible happens without human approval.
Do we need to change our existing tools?
No. We build automations that connect to your existing tools — CRM, ERP, email, Slack, WhatsApp — via APIs. You keep your stack. We add intelligence on top.
What happens after launch?
We stay engaged for post-launch iteration. The AI model improves as it processes more of your data. Most clients see measurable accuracy gains within the first month.
Let's talk about your problem.
You don't need to know what tech you need. You just need to know the problem. We'll map it, scope it, and tell you honestly whether we're the right builders for it.