A narrow bot that works, not a broad one that doesn't. Six proven use cases for Indian SMBs. Built narrow, measured honestly, expanded only when they earn their keep.
We don't sell magic. These are six narrow, measurable agents we've shipped before. Pick the one that's costing you the most hours every week.
No surprises. A focused build, then a monthly hosting + improvement retainer that keeps the agent learning.
One focused automation, single workflow. The best first engagement.
Multiple connected automations across your stack. Sweet spot for SMBs.
Bespoke AI agent for your specific process. Off-the-shelf doesn't fit.
If an automation isn't earning its AMC in 3 months, we recommend killing it. ◆ No dead weight on your P&L.
Pick one repetitive process costing real hours each week.
Quantify current cost — hours, errors, response time.
Ship the smallest version that handles 70% of cases.
After 30 days, compare to baseline. Adjust if needed.
Once it earns its keep, expand scope — channels, edge cases, integrations.
We pick models for fit — speed, cost, or privacy. Sensitive workloads run local. Every decision logged for audit. Every agent has confidence thresholds and human-in-the-loop escalation.
We pick the model that fits — speed, cost, or privacy. Sensitive workloads run local on your infrastructure.
n8n + Make for visual workflows. Custom Python for serious logic. Zapier only for basics.
We integrate with what you use — WhatsApp Business API, Slack, Email, and your ERP (Odoo, Frappe, Zoho). APIs preferred; webhooks or scrapers when needed.
The five we hear on every scoping call. Honest answers — including the parts where AI is the wrong tool.
No. We build AI that replaces the boring parts of jobs, not the jobs themselves. Your customer support agent stops answering "where's my order" 40 times a day — they start handling the complaint escalations that actually need a human. Your accounts team stops typing reminder emails — they start on the collections that need judgment. If the automation genuinely makes headcount unnecessary, that's your decision, not ours.
Every agent has escalation rules built in. Confidence below a threshold → route to a human. Unusual request patterns → route to a human. Angry customer sentiment → route to a human. We log every decision the agent makes so you can audit it later. The goal is an agent that's honest about its limits, not one that fakes confidence.
For sensitive workloads (HR, finance, medical, legal), we use models that don't train on your data — Claude and GPT via API, or local models like Llama running on your infrastructure. For high-sensitivity data we default to on-premise deployment. We walk through the privacy model during the scoping call.
Every automation comes with a dashboard showing the key metrics — volume handled, escalation rate, time saved, errors. Monthly reviews compare to your baseline. If in three months the automation isn't earning its AMC fee, we'll recommend killing it. We'd rather lose the retainer than keep billing for something that doesn't work.
Sometimes, but usually we don't need to. Modern LLMs with good prompts and retrieval (RAG) handle 90% of business cases. Fine-tuning makes sense for very specific domains (highly technical vocabulary, unique writing styles) or when prompt length becomes a cost issue. We'll tell you honestly which approach fits.
30 minutes. We'll find the highest-ROI automation in your business and tell you if it's worth building.
Book an automation audit →