AI integration adds AI to the ERP (enterprise resource planning) or CRM (customer relationship management) system you already run, or to your inbox. It starts with one manual task, such as reading documents, answering on WhatsApp or finding answers in your files. Every AI step has a check, and anything the system is unsure of goes to a person.
01 · Intake An invoice arrives by email. The PDF is split and each page labelled by type.
02 · Read AI reads the invoice into the fields your ERP needs, each linked to the page.
03 · Check Rules check the numbers, because a confident read can still be wrong.
04 · Route Every check passed, so a draft bill waits in your ERP for approval.
01 · Intake An invoice arrives by email. The PDF is split and each page labelled by type.
02 · Read AI reads the invoice into the fields your ERP needs, each linked to the page.
03 · Check Rules check the numbers. One fails: the bank account is not the one on file.
04 · Route The read was right, and it still goes to a person, with the scan alongside.
01 · Intake A customer writes on WhatsApp, in English and Malay in one message.
02 · Read AI reads what they want, the car, the branch and the time.
03 · Check Rules check the customer, the calendar and what you let the assistant handle.
04 · Route Booked in the workshop calendar, with a reply in their own mix of languages.
01 · Intake A customer writes on WhatsApp, in English and Malay in one message.
02 · Read AI reads the booking, and the brake noise they mention.
03 · Check Brakes are a safety issue. A rule says a person handles those.
04 · Route An advisor takes over with the full transcript, and the slot is held.
01 · Intake A site manager asks about the Tower B contract in the web assistant.
02 · Read AI searches only what Rina may open, and reads the passages it finds.
03 · Check Rules check access, the current wording and that every sentence has a source.
04 · Route The answer quotes the clause and links the page.
01 · Intake A site manager asks about the Tower B contract in the web assistant.
02 · Read AI searches the contract and its addenda. Nothing covers a bonus.
03 · Check No passage backs an answer, so the assistant may not give one.
04 · Route It says so, shows the closest passage and passes the question to Legal.
Transfer to A/C 527 039 18846
a.n. Packaging supplier
Transfer to A/C 527 041 22916
a.n. Packaging supplier
Hi, nak book service for my car JQT 4821 this Sat morning at Skudai. Thanks.09:40
Reply waits for the checks
Booked for Sat 17 Oct, 9:00am at Skudai, JQT 4821. Jumpa nanti.09:41
Hi, nak book service for my car JQT 4821 this Sat morning at Skudai. Brake bunyi pelik bila tekan, boleh check sekali?09:40
Reply waits for the checks
Handed to a service advisor
Thanks. A service advisor will reply about the brakes shortly.09:41
What is the retention on Tower B, and when is it released?
Answer waits for the checks
5% of each progress payment. Half is released at handover, half after the defects period, which Addendum 2 extends to 18 months.
Is there a bonus if we finish Tower B early?
Answer waits for the checks
I can’t find an early-completion bonus in the contract or its addenda. I’ve passed your question to Legal.
The six deliverables, laid out as the pipeline above runs them. ✦ Explore use cases on any card shows where finance, sales, operations, HR and legal teams use it.
01 Intake
Invoices, credit notes and delivery orders that share one inbox, or one PDF, are split, labelled by type and routed before anything is read.
02 Read ✦ AI
The fields your system needs, line items included, read from each document. Every value links to where it was found, so a person can check it at a glance.
Replies in the language the customer used, from your own price lists, policies and records. Complaints, and anything it is unsure of, go to a person with the full conversation.
Answers from your own documents, with the clause or page linked. If the answer is not there, the assistant says so and passes the question on.
03 Check Rules
Rules check every result: totals add up, the purchase order exists, the bank account matches, the answer has a source. Anything that fails, or that the model is unsure of, waits for a person.
04 Route
Results go into the systems you already run, through their APIs: a draft bill in the ERP, a deal update in the CRM, a reply draft in your shared inbox.
These AI steps run in our ready-to-use ERP, CRM, WMS, EAM and HR systems. Each card links to the page that shows it.
Every deliverable starts from one task your team does by hand today. Tell us which one →
For companies in Singapore, Malaysia and Indonesia, in English and Bahasa Indonesia. You talk to the technical lead throughout, from the first call to handover.
We listen to the people who do the work, map the problems to solve and deliver a prototype running on a sample of your own documents or messages by the end of the week.
We build the core features and integrations on your real data, and demo them on a staging link every week.
We deploy to production and hand over the source code, documentation and admin access.
We pick one task people do by hand every day, such as keying in invoices or answering the same questions, and look at how it’s done today before adding AI.
Every result goes through a check. Anything that fails it, or that the system is unsure of, waits in a review queue with the source document alongside.
Assistants answer from your documents and link to the page they used. If the answer isn’t in your documents, they say so.
Models run through accounts in your company’s name where possible, such as Azure OpenAI or the Claude API, and the pipelines, prompts and test sets are handed over with the code.
Have a task your team does by hand every day? Send our technical lead a sample.
Send us a sample →An AI MVP (minimum viable product) is a new product built around AI. AI integration adds AI to the systems and workflows you already run, such as reading invoices into your ERP or answering customers on WhatsApp.
No. We use enterprise model APIs whose terms exclude training on customer data, run them through accounts in your company’s name where possible, and mask personal data the task doesn’t need.
Rules check every result, for example that totals add up, that the purchase order exists or that an answer is backed by a passage. Anything that fails a check, or that the model is unsure of, goes to a person with the source alongside, so nothing is posted on a guess. Each correction is logged, which shows where accuracy needs work.
A sample of real documents or conversations, with personal data masked, and time with the people who do the work today. That’s enough to tell you what can be automated reliably and what still needs a person.
Yes. You own 100% of the source code from the first commit, and at handover you receive the code, the documentation and admin access.
The technical lead who does the work, with a domain specialist who has done this kind of work before. We reply within 24 hours, there’s no account manager in between, and we sign an NDA on request.
