We understand the business, not just the models.
Our team has run operations, finance and sales, and invested in companies. So we start from the work that costs you time or money, and use AI where it changes that.
We help companies in the Philippines grow with AI: customers and dealers answered in Tagalog, Taglish and English at any hour, orders and records that flow without encoding, and owners who see the business clearly. We build it, train your people and keep improving it, month to month.
The engagement
A partner that understands the business, brings the whole team, and stays.
Our team has run operations, finance and sales, and invested in companies. So we start from the work that costs you time or money, and use AI where it changes that.
You get a senior lead who owns the work backed by a team of AI engineers, data specialists and operators. We cover use-case selection, data preparation, build, integration and maintenance.
The engagement runs monthly, and you can end it at any time without penalty. Scale it up when there is more to build and down when there is less. You pay for the work of an AI function, not for building one.
We stay through your AI journey. Each month we build the next use case, fine-tune the last one and help your employees adopt it, across AI, data, integrations and software, so your AI compounds every month.
Tell us what you want AI to do for your business.
Book a call or send us a note. We reply within one working day.
Client situations
How it works
We map out where work in your business is manual, repetitive or waiting on a judgement call, check the data behind it, and agree with you which AI use case to build first, based on value and impact.
We build it into the tools your employees already use and put a working version in their hands early, with a person reviewing the exceptions.
We tune it on your real cases, train the people who use it, and keep a person signing off until the output is reliable.
Each month we keep what is live running, build the next use case, and adjust the scope to what the business needs.
Client stories
Turning fragmented new-business submissions into one visible insurance workflow.
Inconsistent agent and branch submissions became one visible policy workflow, with cleaner intake, correction-aware sales reporting, and payment status attached to each policy.
Rebuilding a custom CRM so the system can reason over the firm's work.
A disciplined but flat CRM was rebuilt as a connected data foundation, operating dashboard, and AI agent working from the same source of truth.
Turning import orders data into clearer buy, import, and caution signals.
Monthly import orders data became a practical demand-supply model that helped the team compare import timing, local buying, and margin risk.
Ubisar builds AI for owner-led businesses, and the economics now work at that size: the models have become cheap, and you pay for one team instead of a department. We start with one use case that pays for itself, such as enquiries that become orders or encoding that stops, and show the result before you add the next. Big companies buy AI programmes; you buy one working improvement at a time.
Yes, both. Ubisar builds AI that wins business as well as saving time: enquiries answered before a competitor replies, quotes and follow-ups out the same day, and collections followed up on time. Removing the manual work is the first step; the bigger gain is the sales that stop slipping away while nobody replies.
Ubisar starts with one high-value use case on a monthly engagement, so you see the value before you spend more. We use the tools you already pay for where they fit, and avoid adding subscriptions you do not need. Nothing locks you in, so the spend continues only while the results do.
Yes. Ubisar sets up and tests the AI on real messages from your customers and dealers, in Tagalog, Taglish and English, so the replies sound like your own team. We connect it to your orders, stock and accounts, so it can quote, confirm and follow up on a sale, and it hands the harder cases to a person. Customers should feel they talked to your business, just faster, and the ones who need a person reach one sooner.
Yes, and reading paper and spreadsheets is often the first use case. Ubisar turns delivery receipts, order forms and branch reports into structured data as they arrive, one process at a time, without stopping daily operations. Within months the business runs on data it did not have before, and every use case after that builds on it.
Ubisar involves your staff from the start and trains them on the tool they will use, including long-time employees. We show them how it takes over the repetitive work, keep a person in charge of decisions, and stay to answer questions after go-live. Adoption is most of the work, which is why training and support are part of every month, and why the AI sits inside the tools your team already opens.
Yes. Ubisar keeps your data in accounts your company owns, on provider terms that forbid using it for training, and logs every action the AI takes. A named person in your team approves the exceptions, so you can see who signed off on what. Nothing about your customers or your prices leaves your control, and you can read the log whenever you want.
Ubisar gives you a dedicated lead who learns how your business and your customers work, backed by a team across AI, data and software, month to month. An overseas consultant often leaves a report that does not fit local customers. A freelancer is one person's skills and availability, and the work stops when they move on. We build, train and stay, so the AI keeps improving as your business changes.
Ubisar's pricing starts from $4,000/month (about PHP 230,000), month-to-month, cancel anytime. That is the starting point for a lead and a team. The actual retainer depends on how complex your systems are, how many are in flight at once and what your company requires. You will find the detail on our pricing page, or reach out for an initial discussion and we will provide a quote for your company in the Philippines.
Book a call or send us a note. We reply within one working day.