Automation shaped around your workflow.

Most lost deals are not lost to a better pitch. They are lost to a reply that came four days late, or never came at all because the message was buried under forty others. We put every channel into one queue, work out which enquiries are actually serious using what the customer said rather than guesswork, and draft the reply from your price list and templates — so your rep spends the morning calling people instead of typing.

• Pull enquiries from WhatsApp, email and web form into one queue
• Recognise an existing customer and attach their order history
• Rank by real buying signals — quantity, timeline, who is asking
• Draft the quote from your current price list
• Surface the enquiry nobody answered nine days ago
• Log everything to your CRM without anyone typing it twice

A CV takes three to six minutes to read properly, which means a hundred applications is a lost day. So most get skimmed, or never opened, and the shortlist ends up being whoever applied first. We read all of them against the same five must-haves, rank them with the reason for each score written out, and offer your live calendar to the shortlist. Nobody is rejected by a machine — declines go out only when you approve them.

• Read every application, including scanned and emailed CVs
• Score against one rubric so the tenth is judged like the first
• Write the reason behind every score, so it can be argued with
• Offer real calendar slots instead of a scheduling email chain
• Keep candidates updated instead of leaving them in silence
• Never reject anyone without a person approving it

Chasing money is uncomfortable, so it gets postponed, and the accounts that get chased are the polite ones rather than the ones that owe most. We match your ledger against the bank first — so nobody chases a customer who already paid — then rank what is left by age, amount and payment history, and write each reminder to fit the relationship. A six-year loyal payer gets a gentle nudge. A repeat offender does not.

• Match invoices to bank credits, including part-payments
• Drop anyone who has already paid, before they get chased
• Rank by what is recoverable, not just what is oldest
• Write gently to good payers and firmly to late ones
• Hold back anything under dispute and route it to ops
• Send only after a person approves the run

Work reaches a small business through every door at once: email, WhatsApp, a form, someone stopping you in the corridor. Without a system, urgency is decided by persistence rather than importance. We read every channel into one queue, merge the third chase about the same order into the existing thread, resolve the requests that answer themselves, and route the rest to the right desk with an SLA attached — so a breach is visible before the customer notices.

• Read email, WhatsApp and forms into a single queue
• Merge duplicate chases instead of opening a third thread
• Answer the routine requests without a person touching them
• Route what is left to the right desk with a clock started
• Spot the enquiry that was misfiled as a support ticket
• Escalate a stoppage immediately, with the context assembled

Input credit only comes through if your books agree with what your suppliers actually filed. Checking that by hand, every month, across hundreds of invoices, is exactly the work that gets rushed at the deadline — which is when it costs you. We compare your purchase register against 2B on GSTIN, invoice number, date and value, sort the mismatches into the ones that matter and the ones that only look wrong, and put a rupee figure on what is at risk so chasing can be prioritised.

• Match the purchase register against GSTR-2B, line by line
• Flag suppliers who have not filed, with the credit at risk in rupees
• Catch value mismatches — the ₹62,000 booked, ₹26,000 filed kind
• Recognise reverse charge as excluded by design, not an error
• Find invoices filed against your GSTIN that are missing from books
• Hand your accountant the evidence, not a verdict

Contracts arrive from every team at once and all of them are urgent, so the review depends on who happens to read it and how tired they are. These builds run on Lawgix — our own legal AI platform, grounded in real statutes and case law — so instead of starting from scratch you get research, drafting and document intelligence on day one, with the workflows for your practice built on top.

• Read the whole contract, annexures and scanned pages included
• Compare against your standard positions and fallbacks
• Flag each deviation with the clause it objects to
• Catch what is missing, not just what is wrong
• Draft redlines in your own language, not generic legalese
• Keep a lawyer approving before anything is agreed