Automate the work nobody enjoys
The documents your team reads, the data they retype, the approvals they chase. We automate those workflows with the right mix of AI and solid engineering, wired into your ERP and CRM.
- Works with your ERP and CRM
- Humans handle exceptions
- Ships in weeks
From inbox to system of record
Four categories cover most of the manual work in a typical back office. Every one connects to the systems you already run.
Document intake
Invoices, purchase orders, delivery notes, and certificates arrive by email or upload. AI reads them, extracts the fields, validates against your records, and files them in the right system. Exceptions go to a person, everything else just flows.
Approval flows
Purchase requests, leave applications, discounts, and expenses route themselves to the right approver with the context needed to decide. Reminders chase the slow, escalations catch the stuck, and the audit trail writes itself.
Data entry elimination
The same order retyped into three systems is the most expensive habit in most offices. We connect the systems so information is captured once and lands everywhere it belongs, without the typos.
ERP & CRM integration
Automation is only useful if it reaches your systems of record. We integrate directly with your ERP, CRM, accounting, and warehouse software through their APIs, so automated work ends up where your team already looks.
Rules where possible, AI where needed
Not every automation needs AI, and vendors who claim otherwise are selling you tokens. Here is how we decide.
- The rules are fixed: if the invoice matches the PO, post it
- The same input must always produce the same output
- Compliance requires exact, repeatable behaviour
- Volume is high and per-task cost must be near zero
- The input is messy: free-text emails, scanned documents, photos
- Judgment is involved: categorising, summarising, drafting
- The formats vary by sender and rules would never keep up
- A human currently reads something before acting on it
Most real workflows need both: AI reads the messy document, deterministic logic posts the clean result. Drawing that line correctly is what keeps automation fast, cheap, and predictable.
Automation without the leap of faith
The automation runs in parallel with your manual process until the numbers prove it. No big-bang switchover, no hoping for the best.
- 01
Map the workflow
We sit with the people doing the work and document every step, system, and exception, not the idealised version.
- 02
Split rules from judgment
Each step is classified: deterministic logic, AI, or human. This decides the architecture and keeps costs sane.
- 03
Build and integrate
The automation is built and wired into your ERP, CRM, and inboxes, with human review queues for exceptions.
- 04
Run in parallel
The automation runs alongside your manual process until the numbers prove it is reliable. Only then does it take over.
- 05
Monitor and extend
Dashboards show volumes, exceptions, and time saved. Most clients automate a second workflow once the first pays off.
More ways we apply AI
AI development services
The full range of AI systems we build for business.
Learn moreAI agent development
Agents that handle multi-step tasks with guardrails.
Learn moreAI chatbot development
Automate the answers as well as the paperwork.
Learn moreAI consulting
A workshop to find which workflow to automate first.
Learn moreWhat is manual work costing you?
Put in what manual work looks like on your team today and get a first sense of what automation could free up. It is a rough estimate, refined during discovery.
Automation could free up about 217 hours and roughly INR 36,903 per month.
Rough estimate, refined during discovery. Based on your salary figure and a 22-day, 8-hour working month. It assumes the freed hours go back into billable or productive work.
Workflow automation, answered
What is AI workflow automation?
Using software to run business processes that people currently push along by hand: reading incoming documents, entering data into systems, routing approvals, and sending updates. AI handles the messy, judgment-heavy steps, deterministic logic handles the fixed rules, and humans handle the exceptions.
Which workflows are usually worth automating first?
Document intake and data entry are the usual winners: invoices, orders, and forms that someone reads and retypes today. They are high-volume, repetitive, and easy to measure, so the payoff shows quickly. Approval flows are a close second.
When do you use AI versus normal automation?
If a step follows fixed rules, we build it deterministically: cheaper, faster, and perfectly repeatable. We use LLMs where input is unstructured or judgment is involved, such as reading a scanned invoice or categorising an email. Most real workflows need both, and knowing where to draw the line is most of the engineering.
Does this work with our existing ERP and CRM?
Yes, that is the point. We integrate with your existing ERP, CRM, accounting, and warehouse systems through their APIs. Automated work lands in the systems your team already uses, and no rebuild is required.
What happens when the automation hits something unusual?
It stops and asks. Exceptions route to a human review queue with everything the reviewer needs to decide, and the automation carries on with the rest. Confidence thresholds are set with you, and every action is logged.
How long does an automation project take?
A single workflow, such as invoice intake or an approval flow, typically ships in 3 to 6 weeks including integration and a parallel-run period. You get a fixed quote after a free discovery session.
Which workflow is wasting your team's week?
Book a free discovery session. We will map the process, tell you honestly what should be rules, AI, or left alone, and send a fixed quote within days.
- Free discovery session
- NDA available
- Reply within one business day