An order comes in through one system and someone retypes it into another.
(WhatsApp available)
When your ERP, CRM, spreadsheets and other tools don't talk to each other, somebody ends up moving data between them by hand. We connect those systems so the data moves on its own, and we use AI for the parts that need judgement, such as reading messy documents or deciding which record matches which.
An order comes in through one system and someone retypes it into another.
The same customer exists in three places under three slightly different names, and nobody is certain which one is right.
Two departments produce reports from the same data and the numbers don't match.
One person has quietly become the bridge between two systems, and when they take leave, things stop.
Your ERP was sold to you as the single source of truth, and in practice the single source of truth is a spreadsheet on somebody's desktop.
A mid-sized company with a hundred people and disconnected systems is estimated to lose somewhere between $40,000 and $80,000 a year to this, spread thin enough across people's time that nobody sees it on an invoice.
Which data moves where, how often, and who is currently moving it by hand. This usually takes a few days and it is the part that determines whether anything else is worth doing.
We connect the systems that have usable APIs, so the data moves without a person in the middle. Where a system has no API, or a proprietary one that makes integration impractical, we say so early rather than three weeks in.
Reading a supplier invoice that arrives in a different layout every time, matching records that don't match cleanly, or flagging the transactions that look wrong.
A system that handles the routine ninety percent and escalates the rest with the context attached is more useful, and far safer, than one that tries to handle everything.
ERP systems, CRMs, accounting and payroll platforms, e-commerce storefronts, inventory systems, ticketing and helpdesk tools, and the internal applications that only your company runs.
We document which data moves where, how often, and who moves it today. This usually takes a few days.
Week 1
We connect systems with usable APIs so data flows without someone in the middle.
Weeks 2 to 3
AI handles messy documents, record matching, and exception flagging where rules alone are not enough.
Weeks 3 to 4
We run against real data, measure error rates, and roll out on one process before expanding.
Weeks 4 to 6
Connecting two systems that both have proper APIs and a clear data flow is the cheapest thing we do, and it is often the best place to start because the result is visible within weeks.
If your problem is one person retyping between two modern SaaS tools with a built-in integration, turn that on first. If the real issue is that nobody agreed which system owns customer data, no connector fixes that without a process change. We'll tell you which it is.
| Custom integration (us) | Off-the-shelf connector | Keeping the manual process | |
|---|---|---|---|
| Upfront cost | Fixed, scoped before we start | Low if your tools are on their list | No project fee, but someone's salary every week |
| Ongoing cost | Hosting and maintenance only | Per-seat or per-connection fees as you grow | Hidden in duplicated work and errors |
| Custom or legacy systems | Yes, that's most of what we do | Only if they built a connector | Already works, until that person leaves |
| Messy or unstructured inputs | Yes, with AI where needed | Rarely | Humans handle it, slowly |
| Error rate | Measured and monitored | Low for simple syncs | Depends on who's tired that day |
| When the person who does it leaves | The system keeps running | The connector keeps running | Things stop |
Fixed, scoped before we start
Hosting and maintenance only
Yes, that's most of what we do
Yes, with AI where needed
Measured and monitored
The system keeps running
Low if your tools are on their list
Per-seat or per-connection fees as you grow
Only if they built a connector
Rarely
Low for simple syncs
The connector keeps running
No project fee, but someone's salary every week
Hidden in duplicated work and errors
Already works, until that person leaves
Humans handle it, slowly
Depends on who's tired that day
Things stop
Sometimes, through exports, database access, or screen automation. Sometimes the honest answer is that the process should change rather than be automated. We find out in the mapping phase, not three weeks in.
No. We work with what you have. Replacement only comes up if we think a system is the root cause, and we'll say so plainly.
Integrations are built to be maintainable. When you swap a tool, we update the connection rather than rebuild from scratch.
Matching rules, fuzzy logic, and AI for the ambiguous cases. Anything below a confidence threshold gets flagged for a person.
Both, where each is the right tool. Straightforward data sync is integration. Reading invoices in twelve layouts is where AI earns its place.
We set up monitoring and alerts. Critical failures notify someone. Non-critical issues queue for the morning.
A single connection between two systems with clear data flow is often live within weeks.
Yes. One process with obvious value is usually the right first project.
Thirty minutes, no deck. Bring us a workflow that's eating your team's time, or a product idea you want built, and we'll tell you what we think it takes, what it roughly costs, and whether it's worth doing at all. Sometimes the answer is no, and we'll say so.
Book a 30-min call(WhatsApp available)
Mon-Fri, 10AM-7PM IST (Overlaps with UK, EU, Middle East & Australia)