The 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.
- Operations teams drowning in manual workflows
- Support teams overwhelmed by ticket volume
- Finance teams processing hundreds of documents daily
- Businesses that have data but can't act on it fast enough
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.
- 01
Map the workflow
We identify the exact processes eating your team's time and quantify the cost. One to two weeks.
- 02
Design the system
Architecture, data flow, integrations, and the AI model approach. You see exactly what we'll build.
- 03
Build the automation
AI-native from the first commit. Working demos every two weeks. No black boxes.
- 04
Test with real data
We run the system against your actual documents, queries, and workflows. Measure accuracy.
- 05
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.
Final pricing depends on scope, integrations, and data complexity.
- 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
Why Sitio Labs
Builders, not vendors.
- Same team that built 6 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/ 05
Honest answers.
Write to us with what you are working on. You will hear back within 24 hours.
Start a conversationFor 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.
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.
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.
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.
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.
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