Service
AI Automation
Automation aimed at the specific manual work costing you hours — document extraction, enquiry triage, WhatsApp responders, report generation — not a chatbot bolted onto your homepage.
- Timeline
- 2–4 weeks
- Deliverables
- 9 items
- First milestone
- Week 1
Teams losing hours a day to copying data between things
Most 'AI for business' is a chatbot nobody asked for. The work worth automating is duller and far more valuable: someone retyping invoice figures into Excel, someone triaging the same forty enquiries every morning, someone assembling the same report every Monday. We find those, measure the hours, and remove them.
Typical stack
What you get
Not included
- Model training from scratch
- Ongoing LLM API costs (billed at cost)
Listed as plainly as the inclusions. Anything here can be scoped on top — quoted before it starts, never assumed.
How it works
We measure before we automate
The audit puts hours and a rupee figure against each manual task. Usually two or three are worth automating and the rest are not — and saying so is more useful than automating everything badly.
Human-in-the-loop where it matters
Anything touching money, contracts or a customer's record goes to a person for one-click approval. Full autonomy is reserved for work where being wrong is cheap.
Accuracy is monitored, not assumed
Extraction confidence is logged and low-confidence items are routed for review. If accuracy drifts, you get an alert — not a quarter of quietly corrupted data.
Every automation has a fallback
When the model is unsure or the API is down, the task lands in a human queue instead of failing silently. Automation that breaks invisibly is worse than no automation.
Delivery sequence
- 01Week 1
Automation audit
We shadow the work, list every repetitive task, and put hours and cost against each. You keep the document either way.
- 02Week 2–3
Build the top two
The highest-return automations, built with review queues and monitoring.
- 03Week 4
Measure & extend
Compare real hours saved against the audit, then decide what is next.
Delivered with this service
Invoice Extraction Pipeline
An extraction pipeline replacing hours of daily retyping, with a confidence threshold that routes anything uncertain to a person.
- Mostly removed
- Manual retyping
- Human review
- Low-confidence path
AI Automation FAQ
Straight answers
Including where the honest answer is 'no' or 'buy something else'.
What's the most common thing you automate?
Document to spreadsheet. Someone opens a PDF invoice or purchase order and retypes the figures into Excel, dozens of times a week. It is high-volume, well-defined, and extraction handles it with a review step for anything low-confidence.
Will AI make mistakes on our data?
Yes, sometimes — which is why nothing financial runs unattended. Low-confidence extractions go to a review queue, accuracy is logged, and you get an alert if it drops. Any vendor claiming zero error rate is either not measuring or not telling you.
Do we pay for the AI usage?
The API cost is billed at actuals with no markup, and it is usually small — a few hundred rupees a month for typical document volumes. We tell you the expected figure during the audit.
Can you automate our WhatsApp enquiries?
Yes, on the official WhatsApp Business API — never an unofficial automation library, which gets numbers banned. The responder handles common questions and hands off to a person the moment it is unsure or the customer asks.