8 questions to ask yourself before integrating AI into your application
A period of rapid innovation
Integrating AI into applications requires considerable effort during a period of accelerating innovation. Agora Software, an editor for software editors, presents a strategic checklist to guide product directors through AI implementation decisions.
The 8-question checklist
1. Which features are suited to a conversational format?
Not all software functions lend themselves to a conversational interface. Identify those involving simple, recurring requests; complex navigation that discourages users; or access from mobile contexts.
2. How do your users want to interact?
Languages spoken, preferred channels (Teams, WhatsApp, mobile, web), usage contexts (field, office, travel) — your users’ preferences must guide the implementation.
3. Should client-specific customisation be enabled?
Some clients have specific business vocabulary, business rules or processes. Your architecture must allow this customisation without multiplying maintenance costs.
4. How will the AI evolve with the product?
The AI must be able to adapt to new features developed and to the growth of your customer base. Plan for scalability from the outset.
5. What regulatory and security boundaries apply?
GDPR, confidentiality of HR or financial data, sector requirements — regulatory constraints must be built into the architecture from the start, not added as an afterthought.
6. How can costs be modelled to manage budget risks?
Infrastructure, model, maintenance and support costs: anticipate a sustainable economic model as usage grows.
7. Will AI be a default feature or a separate offering?
Integrating AI at the core of the product or offering it as an optional module? This decision impacts positioning, pricing and user experience.
8. Where can the necessary skills be found?
Internal team, external partners, packaged technology? Honestly evaluate what you master and what you need to outsource or acquire.
Agora Software, editor for editors
Agora deploys conversational interfaces enriching the user experience while maintaining multilingual and omnichannel capabilities. The approach allows publishers to focus on their core business while benefiting from sovereign, controlled conversational AI.