How to choose
From idea to intelligent systems: choosing the right AI package
Most businesses arrive at AI with the same three questions. Will this actually work on our data? What will
it cost before we commit? And who maintains it once the excitement wears off? Our packages are structured
around those three questions rather than around a feature list, which is why the first one is deliberately
small and cheap.
Start with the question you cannot yet answer
If you cannot name the specific process AI should improve, and roughly what that process costs you today,
you are not ready to commission a build — you are ready for a discovery sprint. In one to two weeks we audit
your data, interview the people doing the work, model the return, and build a working proof of concept on
your real data. You end up with a costed roadmap and something you can show your board. If you then proceed
within 60 days, the discovery fee is adjusted against your development package.
Build when the use case is already clear
If you already know what you need — a support assistant grounded in your help centre, a document processing
pipeline, an AI feature inside your product — go straight to the AI Development package. Three to six weeks,
fixed scope, fixed price, deployed on your infrastructure, source code handed over. You get a working demo at
the end of every sprint, so you are never waiting until the end to find out whether it works.
The single biggest predictor of a successful AI project is not the model you pick. It is
whether the process was properly understood before anyone started building.
Deploy agents when the work is repetitive and rule-based
Some problems do not need a new application at all — they need something to do a job nobody enjoys doing.
Chasing a document. Checking a leave balance against the team calendar. Matching an invoice to a purchase
order. Reminding a customer that payment is due. These are agent problems, and because we have already built
and tested them, a single agent goes live in two to three weeks rather than months.
- One painful process? Single Agent Launch — the fastest, lowest-risk entry point into AI.
- An entire function drowning? Department Agent Pack — up to five agents that hand work between each other.
- AI as an operating model? Enterprise Agent Suite — orchestration, governance and a dedicated pod.
What we will tell you honestly
Not every process should be automated. If your workflow changes weekly, if the data is genuinely unusable,
or if a well-configured rule in your existing software solves it for a fraction of the cost, we will say so
on the first call. We would rather scope a smaller project that works than a larger one that quietly gets
switched off after six months. That single habit is why most of our AI clients are on their second or third
project with us.
What happens to the code
Everything we build belongs to you on delivery — full source code, repository access, documentation and IP
transfer. There is no proprietary runtime you have to keep paying for and no per-seat licence that grows with
your headcount. If you later want to bring the system in-house or move to a different partner, nothing about
our commercial model stops you. Our AI Care plans exist because clients choose them, not because the
architecture forces them.
USA:
+1 (213) 233-1633
India:
+91-8910802928 | Email:
sales@ztsindia.com
