Transforming Internal AI Conversations for a Global Technology Leader
Client Background
A global technology leader serving billions of users engaged Akraya to transform the conversational experience of their internal AI tools. The organization needed to evolve from clunky, text-dense responses to natural, helpful dialogues that solved employee problems.
Challenges Faced
This section outlines the core difficulties and pain points the client was experiencing. It provides context on the hurdles that needed to be overcome before achieving the successful outcome.
Poor Conversational Quality Undermining AI Adoption
Internal chatbots delivered dense paragraphs or evasive responses that simply pointed users to URLs.
Inconsistent Evaluation Methodology
Without systematic assessment, conversational flaws persisted across multiple internal tools.
Missed UX Integration Opportunity
Conversation design operated in isolation from broader user experience considerations.
Akraya’s Strategic Solution
We engineered a comprehensive solution to revolutionize how employees interact with internal AI tools -
-
Systematic Heuristic Evaluation Engine
Akraya established a standardized assessment methodology for conversational outputs across multiple internal products including HR support, IT troubleshooting, travel booking, and expense tools.
-
UX-Integrated Dialogue Architecture
Leveraged deep UX design expertise to evaluate not just dialogue but full interaction patterns.
-
AI-Augmented Assessment Workflow
Our methodology combines AI efficiency for pattern recognition with human expertise for validation and refinement ensuring accurate, actionable recommendations at scale.
Measurable Outcomes
Operational
Gemini-powered heuristic evaluations accelerated baseline reporting by 50% while human expertise ensured accuracy.
Financial
$40.2M saved in employee productivity value by reducing time spent navigating unhelpful chatbots.
Business
Internal tools now reflect the same conversational quality as leading consumer experiences.
Conclusion
Akraya transformed how a global technology leader's employees interact with internal AI tools. By applying systematic evaluation methodology, UX-grounded dialogue architecture, and AI-augmented workflows, we evolved clunky, evasive chatbots into natural conversations that actually solve problems.
