The cost of scaling agents is catching up with enterprises faster than anyone planned, use of domain-specific models is rising, and workflow redesign is emerging as the single biggest performance differentiator in AI. This edition of Konversation covers all three, and highlights from our Chicago roundtable. Keep reading to know more.
Top 3 Market Insights:
- The Agentic layer in SDLC: Agentic AI tools are now embedded across every stage of SDLC from requirements to deployment, yet most enterprises have no unified visibility into what the agents are doing. Many companies are focusing on building a unified governance layer for org-wide visibility. Governance is going to be critical in the coming decade. Do you have the right plan in place?
- Uber CTOs View on Cost of Scaling AI: A lot of people are talking about Uber CTOs comment which confirms that they burned through their entire 2026 AI budget ahead of schedule. As you scale AI agents, are keeping track of your token consumption? Best to build a token spend management system.
- Domain Specific AI Models in Talks:As per our latest talks with leaders, we are seeing teams running fine-tuned models on specific internal data resulting in faster inference, and lower hallucinations. For industries with on prem data requirements like healthcare & finance it’s the obvious choice. Frontier models are becoming the starting point for experimentation, while the fine-tuned small model is what ships to production.
- Workflow Redesign gap in Enterprises: As most mid-market enterprises race to pick the right AI model, we typically suggest clients to redesign their workflows before deploying AI on them, not after. This single decision helps clients enhance performance more than model selection, vendor choice, or budget size combined. Read the report.
Konverge.AI – Under the Hood
Our Work Highlights:
- We are now a Microsoft Solutions Partner: Our extended Microsoft capabilities over the last year and 2X expert certifications in Microsoft has helped us enhance our partnership to ‘Microsoft Solutions Partner for Data & AI (Azure)’. This validates our delivery capability across the Azure ecosystem and opens numerous innovation possibilities for our clients. Reach out to explore how our Azure capabilities can accelerate your AI delivery.
- Insights From Our Chicago Roundtable: We recently hosted 35+ CXOs and senior leaders from global Manufacturing and Pharma companies for an exclusive roundtable. Execs discussed around the future of supply chains, intelligent procurement, AI-driven demand planning, and roadblocks preventing AI ROI. Want us to send the entire recording of the roundtable? Reach out.
- AI Surveillance Agent for a Global Water Technology Leader:For a global water technology company operating thousands of pump stations across 150 countries, we built an LLM-driven surveillance agent that delivers real-time KPI insights, station health scoring, and natural language querying across the entire network, replacing weeks of manual reporting with instant, role-specific intelligence. Reach out to our practice team to know more.
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