Put AI inside
real business
workflows.
We do not treat AI as a chatbot decoration. We build AI into customer conversations, follow-ups, reporting, document handling, routing, and operations - including AI workflows that sit directly on top of ERPNext data.
Automation where it has a
clear business payoff.
We design AI workflows around the work your team actually does every day.
AI-assisted WhatsApp, website, and CRM conversations that capture leads, answer questions, qualify, and route issues to the right person.
- WhatsApp AI workflows
- Lead capture and qualification
- Customer support automation
- Smart routing and escalation
Assistants that help teams answer questions, summarize activity, guide next actions, and work with business data safely.
- Operational copilots
- Internal knowledge assistants
- Task and follow-up assistants
- Role-specific AI workflows
Summaries, extraction, interpretation, and generation from documents, forms, reports, and operational records.
- Document extraction
- Report summaries
- Automated report generation
- Structured data capture
AI connected to business processes so reminders, approvals, routing, and repetitive tasks happen more reliably.
- Automated reminders
- Follow-up workflows
- Scheduling assistance
- Exception handling
We start with the workflow, then add the model.
AI is only useful when it fits a real process and produces trustworthy output.
AI systems & automation FAQ
Short, direct answers to the questions we hear most often.
Yes. We build AI assistants and automations that read from and write to ERPNext and Frappe through its APIs, so the AI works with your real customers, documents, and records rather than generic answers.
We are model-agnostic and choose based on the task, accuracy needs, data privacy, and cost. We commonly use leading hosted models and can deploy options that keep sensitive data under tighter control where required.
No. We design human-in-the-loop workflows. AI drafts, suggests, routes, and summarizes, but decisions that carry risk are reviewed or approved by a person.
We agree on metrics up front - response time, deflection rate, time saved, and accuracy - and review them after launch so the system can be tuned and expanded.