From a smart idea to a usable product: how we build AI together
Where can AI help your business?
Answering frequent questions, searching company knowledge, classifying requests and extracting information from documents are examples of problems that intelligent solutions can address. The starting point is not choosing a technology; it is looking at the work that consumes your team's time, budget or focus today. For each use case we assess the workload, the sensitivity of the information and how results can be measured.
Data assessment and prototyping
Before full development we review the availability and quality of your data. If documents are scattered or information is incomplete, preparing it becomes part of the project. We then design a limited prototype for one specific use case so we can evaluate answer quality, processing time and running cost against agreed criteria. This stage helps decide whether to continue, adjust or stop the idea.
Internal assistants and process automation
The final solution can be an internal assistant, a document-processing tool or a feature inside your existing software. In its design we consider the user journey, connections to approved information sources and hand-off to people. For sensitive answers or impactful actions, the level of human review and the limits of the system's authority are defined from the start so responsibilities stay clear.
Quality, access and maintenance
An intelligent product needs continuous evaluation. We assemble a set of real examples and difficult cases to check performance, and agree on how errors are logged, who has access and how information is stored. Answer quality, the rate of human correction and the cost per request can all be project metrics. The aim is a tool that can be evaluated, not a promise of flawless answers in every situation.
Deliverables and getting started
Depending on the contract, deliverables can include a use-case assessment report, a prototype, a usable product, integration documentation and a monitoring plan. For the first meeting, prepare the process you have in mind, a few shareable data samples and your expectations of the result. Once we understand the constraints, we propose the scope of the first version and how it will be evaluated.
Frequently asked questions
Do we need a lot of data to start?
It depends on the use case. Some projects start with the organisation's existing documents; others may require data collection and preparation. This becomes clear in the initial assessment.
How is the cost of an AI product determined?
The scope of the use case, data quality, number of integrations, usage volume and level of evaluation all affect the estimate. Build costs and running costs are assessed separately in the project proposal.
How to reach us and get started
To discuss your needs and receive a proposal tailored to your project, call the sales office of Behnam Bakhtiari Business Development Group at +98 991 538 1238. After the first conversation we agree on the scope of services, deliverables and terms of collaboration.