During Discovery, we dive deep with our client’s business and technical stake holders to understand holistically their vision for Conversational AI, their challenges, and their expectations and document all of their requirements.
During Analysis we work collaborative with our client’s team to clarify, refine and improve their requirements. We also work closely with client’s Creative Director and Marketing team to capture their authentic voice and their unique brand for the solution. We validate KPI metrics for a successful outcome.
Planning: We will work with our clients to assess their capabilities and determine if any training and additional workshops are necessary to enable their team. We then come up with the design, budget, implementation approach and a project plan for approval.
We’ll review the streamlined project plan, tasks and milestones with our client and on their approval we will start working on the prototype.
Project kick-off: After the finalizing their vision, business goals, design, budget, implementation approach and sign the contract, we'll have a kick-off meeting and proceed with the implementation plan.
Implementation: We follow TDD agile development process. We build the proposed solution iteratively adding layer of features until it resembles our proposed solution. Our clients are involve for review and approval on details at each iteration.
UAT: We will go thru extensive user acceptance testing to ensure the solution meets the client’s KPI requirements before it is ready to launch the solution.
During this phase, we will work and support client’s IT team who will integrate the AI solution into their QA environment for further testing before they ready to deploy to their production environment. We will also continue to support and work with our client Ops team to insure there’s a smooth transition and a successful deployment.
Post launch, we set up a review cadence with our client for continuous tracking of the KPIs and further improvement as needed
Project Manager - coordinates effort with team management and accountability to ensure stakeholder alignment and risk mitigation.
Conversational Designer (CD) is responsible for delivering the character and personality of the conversation with engaging dialogue. Collaborates with Conversational Engineer, UX developer and others as needed.
Conversational Engineer (CE) is responsible for translating the conversation flow into useable code within NLP engine. Collaborates with Conversational Designer, UX developer and QA Tester as needed.
Conversational QA Tester (QAT) is responsible to validate end-to-end user flow meet the client requirements and seamlessly works user perspective. Creates, implements and documents test cases to verify quality. Works closely with CD and CE and with the PM.
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