Decide whether the task needs AI
Use ordinary rules when the inputs and result are predictable: a due-date reminder, a calculation or a fixed approval route usually does not need a model to make the decision. AI can help interpret a question, retrieve relevant information or prepare a draft where the input varies. Keep permissions, money and critical state changes in explicit business logic.
For a first project, write down the trigger, input, expected output and person responsible for exceptions. An enquiry assistant might explain approved services and prepare a brief. It should not promise an unapproved price or claim that a message was delivered merely because it produced a convincing answer.
Prepare sources and access
An assistant needs maintained information: service scope, product records, approved policies or an internal knowledge collection. Assign an owner to each source and decide which users may access it. Missing, outdated or conflicting information needs an escalation path, not a more confident answer.
For a business in Lebanon serving regional customers, include realistic language and mixed-language questions in the test set where those languages are part of the agreed scope. Check actual product names, numbers and business terms. Do not assume model quality in every language or channel from a multilingual demo.
Agree the allowed actions
Read-only recommendations, draft preparation and sending an approved message carry different consequences. Define the permitted connections, account owner, logging and actions that need human confirmation. For WhatsApp, review the actual business account, opt-in, templates, customer-service window and provider charges before planning a live channel.
Q on this website is a separate working assistant for exploring IWORQS services. The example workflows on our AI service page illustrate possible scopes; they are not connected to your business accounts or a claim that every portfolio client uses those exact systems. The recorded contribution in each case is the evidence to use.
Test the ordinary and the difficult
Prepare questions with known answers, ambiguous requests, missing information and requests outside the permitted scope. Check source support, inappropriate disclosures, invented promises and handover quality. For an operational workflow, also test retries, duplicate inputs and failures in a connected provider. A successful demonstration is only one test case.
Choose a business measure such as time to prepare a checked brief, useful enquiry rate or staff lookup completion. Compare it with the starting process and include unanswered requests, operating cost and correction effort. Keep a route to a person when confidence, access or business authority is insufficient.
Budget for operation as well as implementation
An implementation quote should separate discovery, interface and integration work from model usage, messaging fees, hosting, source upkeep and support. Costs depend on the workflow, traffic, model and data requirements, so IWORQS does not publish an invented universal AI minimum. A pilot should define usage limits and the decision to continue.
The next step is a bounded brief: one workflow, its sources, allowed actions, owner and acceptance tests. Our AI service page explains the implementation process and selected recorded contributions; the applications service covers the business rules and systems around the assistant.
Make the next decision.
Official references
Provider requirements can change. Check the current documentation for the actual platform and account.
This guide explains our published scope and planning approach. A proposal confirms the work for your business; examples do not establish a client’s technical stack or measured results.