Voice AI
How to Evaluate a Voice AI System for BFSI in India: The 7-Criteria Checklist
Skip the vendor feature list. Use these 7 criteria to evaluate any voice AI system for BFSI in India, and avoid pilots that stall quietly for 6 weeks.
text-to-SQL enterprise AI
The Three Walls Every Team Hits When Building Text-to-SQL Internally
Why internal text-to-SQL builds hit three walls: schema mapping, grounding decay, and benchmark gaps. How enterprise teams decide to build or plug in.
Voice AI
How Voice AI Agents Get Memory of Past Customer Calls in BFSI
Learn how BFSI voice AI agents gain memory of past customer calls via per-entity context profiles that cut latency and repeat NBFC borrower questions.
RBI AI Guidelines
Can Indian Financial Institutions Use Overseas AI Providers? Reading RBI's FREE-AI Framework
No RBI rule prohibits overseas AI providers. See how FREE-AI, the 2023 IT Outsourcing Master Direction, payment data localization, and the DPDP Act apply to Indian banks and NBFCs.
DABstep
Actioneer Ranked #1 on DABstep: What Multi-Step Data Reasoning Accuracy Actually Means
Actioneer v0.5 ranked #1 on DABstep with 93.78% accuracy on 450 financial data tasks. What the benchmark tests and why hard set accuracy matters.
Actioneer
Actioneer vs Kore.ai for Enterprise AI: Different Categories, Different Buyers
Actioneer and Kore.ai solve different enterprise AI problems. Kore.ai automates conversations. Actioneer answers business questions from structured data with 95.8% benchmark accuracy.
enterprise AI architecture
Harness Design Beats Model Scale: How Actioneer Achieves State-of-the-Art Accuracy at Lower Cost
Actioneer's role-separated AI harness achieves 78.8% on KramaBench and 95.8% on DABstep at 40% lower cost per correct answer than monolithic frontier deployment. How harness design beats model scale.
Build vs Buy AI Platform for Companies: The Framework
The build vs buy AI platform decision for a medium sized company sits at a different point on the complexity curve than the equivalent decision at a large enterprise. Shared engineering teams, multi-source data stacks, and business timelines that cannot absorb 9-month infrastructure waits all s…
Content Is Cheap. Authority Is Scarce.
Every B2B AI startup promises a context layer that knows what your company knows. But retrieval is not authority. The real context layer is the one that helps an agent tell memory from evidence, narrated company from operating company, intention from receipt.
AI on Sensitive Data: How to Deploy Without Exposing What You Can't Afford to Lose
Deploying AI on confidential data does not require sending that data outside your infrastructure. Actioneer's on-premise and private deployment options keep all processing within organizational boundaries - with fully auditable outputs traceable to their source query, and a compliance posture b…
Build vs Buy Enterprise AI: The Decision Most Companies Get Wrong
Why most enterprise AI builds fail to reach production. The build vs buy decision for AI data intelligence: four to nine months internal vs weeks with the right platform.