Many Scenarios, but Uncertainty About What to Prioritize
Unclear goals, ownership, and value metrics keep pilots from earning sustained investment.
Enterprise Services
Turn AI into ValueStart with Real Work
NOOVIVE works with companies to find key scenarios worth involving AI, connecting company knowledge, external Evidence, and real workflows so that solutions can run, be tested by outcomes, and continuously accumulate with every action.
The value gap
AI Adoption Is Rising.Operating Value Is Still Rare.
McKinsey's 2025 global survey shows that 88% of surveyed organizations already use AI regularly in at least one function, but only about one-third have begun scaling; 39% reported enterprise-level EBIT impact of any degree, most below 5%. The problem is usually no longer whether models can work, but whether enterprises can choose the right problems, restructure workflows, and continuously verify results.View Sources →
Insufficient data to support reliable judgments.
Conflicting sources, definitions, and versions leave AI unable to judge what is reliable or relevant.
Prototype is usable, but not integrated into real workflows.
Disconnected systems, rules, permissions, and approvals keep prototypes from owning outcomes safely.
System Launch, Yet Unable to Continuously Prove and Improve Value
Without real evaluation, feedback, and business metrics, each deployment starts over.
Production-level Agents typically require trusted business context, clear permissions, real workflows, and continuous evaluation, not just stronger models.OpenAI Frontier →
From problem to capability
Beyond One-Off AIBuild to Keep Evolving
We do not start from a generic use case list or full enterprise modeling but choose a clearly value-driven, verifiable business scenario to quickly enter real-world operations with minimal scope.
Discovery
Reverse-engineer capabilities and mechanisms from business outcomes to clarify the problem scope, current workflow, key evidence, and priority AI scenarios.
Fastest 1 week to form a current diagnosis and Pilot recommendationsCo-Creation
Connect enterprise knowledge with external evidence, design human-machine collaboration, build operational workflows, and validate them in real use.
Typical project cycle: 6–8 weeksEvolution
Continuously refine workflows, agents, and corporate memory with new evidence, usage feedback, and operational results.
Typical approach: monthly or quarterly progressThe above are typical scopes and reference timelines. The fastest one-week discovery sprint applies when the problem owner can participate, basic materials are available, and the scenario boundary is relatively clear; specific outcomes and pace will be jointly determined according to the enterprise's actual needs and information security requirements.
Why NOOVIVE
Build Beyond One-Off SolutionsMake Every Action Compound
We connect strategic execution with capability evolution into a single continuous learning loop: strategy turns choices into outcomes, which in turn help the enterprise identify, reshape, and validate mechanisms that truly generate value.
Start with Business Outcomes.
Reverse-engineering from business goals to key Capabilities and mechanisms, identifying the most critical scenarios for change, and specifying where AI should participate and what results it should create.
Insight into essence: Reconstructing capabilities and gene maps from messy information
Leverage AI to connect documents, interviews, and operational data, revealing the full picture of capabilities, key mechanisms, and real gaps more quickly.
Integrate Knowledge and Action: From Optimizing Processes to Reconstructing Capabilities
Not just improving a task workflow, but connecting responsibilities, rules, personnel, data, and systems to form high-value, sustainable capabilities.
Cyclical Evolution: Continuously Update Enterprise Understanding
Use real operations and business results to correct Capability judgments and accumulate corporate memory, so the next action does not start from zero.
Start here
Choose Your Starting Point
Enterprise project
You already have a business problem worth solving
Suitable for enterprises aiming to collaboratively discover scenarios, build workflows, and validate value. Initial communication does not require submission of trade secrets or large internal documents.
SHERPIENT Demo
Start with One Real Scenario
SHERPIENT is a private AI think tank of expert agents working in your local workspace. A demo starts with one real scenario, showing how shared enterprise context sharpens judgment and moves decisions into action.
Correct research content, source supplementation, and differing viewpoints can be suggested by selecting text on the corresponding page and using Vivi to communicate and organize recommendations.