Agent washing is in talks among leaders, AI costs are climbing, often from leaks leaders don’t see, and Mob Elaboration is quietly helping teams ship faster than ever. This edition of Konversation covers all three, as well as our upcoming AI Leadership Xchange in Dallas. Keep reading to know more
Top 3 Market Insights:
- Is Agent Washing Real?Many solutions marketed as AI agents are simply workflows, i.e. a fixed sequence of steps with an LLM call in between. A true agent decides at runtime what to do, in what order, and when to stop. Not every use case needs an agent, especially when costs are high or evaluation is difficult. If you’re planning AI agents for your business, we’d be happy to share our experience across enterprise deployments.
- AI Costs Rising? Six Token Leaks Every AI Leader Should Watch For: As per CAIOs in our network, most excessive AI costs come from a handful of recurring patterns, and not the models themselves. Better prompt caching, smarter routing, context pruning, and usage telemetry can dramatically reduce costs. Stay tuned for our upcoming whitepaper on AI token optimization.
- Mob Elaboration + AIDLC for Faster IT Delivery: For years, teams split projects into individual tasks and reconcile pieces later. Enterprises are now tackling problems together in one focused session rather than dividing and then reconnecting. This approach is called Mob Elaboration, and the delivery speed comes from faster decisions, less time loss in translation, and better brainstorming. Before you try this out, do sync with our delivery head Sajal.
Konverge.AI – Under the Hood
Our Work Highlights:
- In person Roundtable – AI Leadership Xchange (Dallas, Aug 27th): Following our Chicago, Atlanta and Irvine roundtables, we are bringing an exclusive group of CXOs and senior Data & AI leaders across global Manufacturing, Construction & Healthcare companies together in Dallas. Learn proven frameworks to position AI as a growth driver to your board. Register now to attend.
- Takeaways from the Databricks Data + AI Summit 2026: This year’s theme covered the shift toward real-time, governed data that can power AI and analytics without traditional ETL delays. Two announcements that stood out: LTAP, which removes pipelines between operational and analytical systems, and Lakehouse//RT, which enables millisecond queries on live, governed data. As a Databricks partner, we’re scoping how this benefits our clients.
- Demand Forecasting for a Global Building Materials Client:We rebuilt the demand forecasting foundation for a pre-construction materials manufacturer, replacing manual spreadsheet processes with AI models, capturing seasonality, promotions, and external demand signals at the product-customer level. Forecast error on top 12 product groups dropped from 30% to 14%. Reach out to talk to our practice team.
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