Forward GenixAI assistants, document reading and answers from your own data, built into the software your team already uses. It follows your rules, and a person stays in control. Built by the team that runs ForwardChat, our own AI product.
Staff and customers ask in plain words and get answers from your documents, policies and records.
AI reads invoices, forms and emails and fills in your system, and a person checks before anything is saved.
Requests are read, sorted and passed to the right team, so nothing waits in an inbox.
Each one runs inside your own system, with your data and your approval rules.
Answers from your SOPs, product data and records, with links back to the source so staff can check.
Invoices, contracts and forms turned into data in your system, checked by a person before saving.
AI that drafts or sends replies on chat and email, using your own information and tone.
Reports, case notes and long email threads summed up, and reply drafts ready to check and send.
Requests, tickets and claims read, labelled and sent to the right person or team automatically.
AI features built into the web app or SaaS you already have, through an API.
ForwardChat is our own AI product for WhatsApp. The same team builds AI into your systems.
Our own productForwardChat is our own product. It answers customers on WhatsApp, sends promotions and collects leads for Malaysian businesses every day. The same team builds your system.
Malaysian companies running on our software
Every project follows the same five steps, so you always know what happens next. Most go live in 8 to 16 weeks.
We sit with your team, see how the business runs today, and write down every screen, rule and step for you to sign.
One price for everything in the plan. You pay in stages as each part is delivered, never by the hour.
You try working parts of the system along the way, so there are no surprises at the end.
Your team tests the system against the signed requirements, and we fix until every test passes.
We go live, train your staff, and keep the system running and supported after launch.
A focused AI integration usually starts from about $10K. The price depends on the data involved and how the AI fits into your system. After a free first meeting you get a proposal and a fixed quotation. Using the AI model also has a small cost per request, and we estimate it for your volume.
In the systems we build and run, AI models such as Claude run on AWS Bedrock. If your company already uses OpenAI, we can connect your system to its API instead. We choose with you based on quality, cost and your own rules.
AI models on AWS Bedrock do not use your data to train their models. Before we build, we show you exactly which data the AI sees and where your system is hosted.
It can. That is why, where it matters, the AI suggests and a person approves, and we test it on your own documents and questions before launch.
Often, yes, if the software can share its data through an API or a database. We check this in the first meeting and tell you plainly if a rebuild would serve you better.
