Question 1

How exactly is "revenue lift" measured?

Accepted Answer

How exactly is "revenue lift" measured?

We fix the baseline in writing before we start — trailing twelve months of closed revenue, qualified pipeline and conversion rate. Only the delta above it is billable, the definition goes in the contract, and the data comes from your systems.

What if it doesn't work at all?

Is there really no upfront fee?

How is our data handled?

What happens if we want out?

When do you say no?

Do we need our own engineers?

Which systems can the agents connect to?

Who is this for? Do you work with Singapore SMEs?

Something we did not cover? Ask us directly →

Question 2

What if it doesn't work at all?

Accepted Answer

Then you owe us nothing and we absorb what we spent. You keep whatever was built, and you keep the license savings.

Question 3

Is there really no upfront fee?

Accepted Answer

No implementation fee, no subscription, no retainer. The only direct cost is your own third-party usage — model calls and data sources — passed through at cost and shown in full.

Question 4

How is our data handled?

Accepted Answer

Deployed in your cloud or an isolated tenant, least-privilege access, every agent action audited, sensitive steps gated by human confirmation. Your data is never used for training.

Question 5

What happens if we want out?

Accepted Answer

Quarterly exit, no penalty. We hand over the code, the database and the runbooks, and help your team pick it up.

Question 6

When do you say no?

Accepted Answer

When the revenue outcome can't be attributed, when the data doesn't exist yet, or when the process itself hasn't been decided. We'd rather say so than bill you while we find out.

Question 7

Do we need our own engineers?

Accepted Answer

No. We build, run and maintain the agents. You need a named owner for the pilot and whoever already runs the process — that is all.

Question 8

Which systems can the agents connect to?

Accepted Answer

Anything with an API or a database we can read: your CRM, ERP, email, calendar, accounting and support tools. Where there is no API, agents work through documents and exports.

Question 9

Who is this for? Do you work with Singapore SMEs?

Accepted Answer

Yes — most of our work is with Singapore SMEs and mid-sized teams of 10 to 300 people who are paying for several SaaS tools and still doing the joins by hand. We build native AI: agents wired directly into your data and workflows, not a chatbot bolted onto existing software. Typical SME AI use cases are lead follow-up, quoting, invoice chasing, order and inventory updates, customer support and month-end reporting.

The questions everyone asks about RaaS

Begin your AI transformation.