Software-led services & industry solutions to bridge the Context Gap for agentic AI.
Design autonomous workflows and deploy production-grade AI agents that decide and act reliably.
Liberate data from legacy silos to make it AI-ready. Migrate ETL, schemas, and pipelines from any source to any target.
Deploy unified observability to prevent hallucination and context drift. Optimize performance and ensure compliance.
Design domain ontology and transform raw data into structured context for every AI agent and LLM in your stack.
Discover why Impetus LeapLogic™ ranks #1 in McKnight Consulting’s latest benchmark report, outperforming native migration tools. Access the exclusive report to learn how you can automate, accelerate, and de-risk modernization of legacy workloads.
Bridge the Context Gap — ground AI in your unique enterprise data, decision logic, and governance standards.
Modernize siloed data assets into trusted, AI-accessible knowledge, with up to 95% automation.
The only unified control plane for AI observability, cost management, optimization, agent testing, and governance.
Build a unified semantic foundation and turn raw data into structured, AI-consumable context for agents & LLMs.
It is becoming increasingly clear — for agentic AI to be effective, enterprises must find a way to bridge the strategic Context Gap that exists in virtually every organization.
As financial institutions scale AI, a critical gap persists—powerful models lack access to trusted enterprise data and context, limiting real impact. This Virtual Council session with Impetus, Google Cloud, and Bank of China explores how context-aware, governed AI agents can bridge this gap and drive better outcomes across risk, fraud, compliance, and operations.
