Assess & Accelerate Your GenAI Readiness
Accelerate Your Enterprise
Knowledge Graphs Journey
Assessment
Is Your Enterprise Knowledge Ready for GenAI?
GenAI is raising the bar for enterprise knowledge. To scale GenAI safely,
To win, you need an Enterprise Knowledge Graph (KG) backbone that connects entities, meaning, lineage, and access controls
The Challenge
Most organizations have valuable data, but it’s fragmented across domains, formats, and tools. When building an Enterprise KG, leaders often struggle to answer:
- Do we have a clear KG vision and prioritized use cases tied to business outcomes?
- Who owns the graph (and the ontology), and how do we govern quality, access, and change?
- Is our platform ready to serve search, analytics, and GenAI agents with the right security and performance?
Without a connected Enterprise KG, every new GenAI use case becomes another brittle one-off integration.
Our Solution
The Enterprise Knowledge Graphs Assessment is a structured, lightweight digital diagnostic that:
- Clarifies your Enterprise KG vision and what “single source of truth” means for your GenAI roadmap, analytics, and operations.
- Connects strategy, data assets, and platform choices into one coherent knowledge graph blueprint.
- Surfaces gaps in modeling, governance, and infrastructure and highlights no-regrets moves that create reusable building blocks.
Move from “our data is everywhere” to “our Knowledge Graph capabilities are a clear differentiator for our business.”
Areas of Focus
- Strategy & Governance — Define the KG vision, operating model, ownership, funding, policies, and guardrails.
- Data Integration & Modeling — Integrate priority sources, resolve entities, design/extend the ontology, manage mappings, and maintain lineage and data quality.
- Platform & Infrastructure — Determine platform architecture, ingestion pipelines, graph store/tooling, APIs, security, observability, and performance for scale.
- Vision — Ensure your organizational knowledge is discoverable and usable across you AI, GenAI, and Agentic AI use cases.
- Adoption & Value Realization — Drive usage across teams and track your outcomes over time.
Targeted Acceleration Guides
> 800 actionable resources to accelerate your GenAI journey, including:
- A brief description of each capability or practice
- Why it’s important and why it’s challenging at scale
- The typical complexity to solve
- Three actions to take based on your specific level of readiness
- Key watch‑outs and common pitfalls to avoid
- The benefits you can expect when you close this gap
How it Works
- Take the assessment – Purchase and complete the Enterprise Knowledge Graphs Assessment diagnostic for your organization or team.
- Review your results – See your scores across each area of focus and compare your readiness with data-driven benchmarks.
- Unlock your Acceleration Guides and action plan – Access targeted recommendations, with concrete actions, watch-outs, and next steps.
Outcomes You Can Expect
- Confidence in your KG foundation — A clear, integrated view of maturity across strategy, data, platform, and adoption.
- A roadmap you can align on — Practical priorities and sequencing to move from pilots to scalable enterprise capability.
- A Better Understanding — Explore best practices and key “watch-outs” for modeling, governance, and scaling the KG.
- A practical action plan — Concrete recommendations to close gaps and accelerate delivery.
- A way to track progress over time — A repeatable way to measure how your KG capabilities improve over time.
This is the Solution for You, if:
- You’re building GenAI or analytics that need trusted enterprise context, and knowledge is fragmented or inconsistent.
- Your KG efforts are stuck in pilots, or you have multiple semantic layers with unclear ownership and standards.
- You need a pragmatic path to scale adoption and prove value, not just build infrastructure.