Ensure You Have the Capabilities to Win with GenAI
Ensure Your Data is GenAI Ready
Integrated Solution
Make sure your Data is an Asset & Not an Impediment for Your GenAI Efforts
GenAI solutions don’t fail because teams can’t prototype—they fail because underlying data is hard to find, hard to trust, and hard to use safely at scale. This solution helps you baseline data readiness, align stakeholders, and build the core capabilities required for dependable GenAI.
To win, you’ll need a repeatable data readiness foundation—so teams can reliably discover, access, and use trusted data across priority GenAI use cases.
The Challenge
Most organizations want to scale GenAI—but their data landscape wasn’t built for fast, governed, cross-domain reuse. Common blockers include:
- Critical data is fragmented across systems, teams, and inconsistent definitions
- Data quality and lineage are unclear, creating trust and compliance risk
- Metadata is missing or outdated, so teams can’t quickly discover the right sources
- Access is slow or overly manual, delaying delivery and limiting experimentation
- Observability is limited, so issues surface late (or only after something breaks)
If you can’t strengthen these basics quickly, GenAI efforts stall in one-off pilots—high effort, low reuse, and growing risk.
Our Solution
A pragmatic engagement that combines Scans, leadership alignment, Assessments, and implementation support to make your data GenAI-ready—starting where you need impact most.
- Targeted Scans & Whitepapers — A quick, high-level review of your data readiness plus access to industry-leading thought leadership.
- Leadership Workshops — Align leaders on target-state data readiness, data architecture, governance, and automated readiness reporting.
- Detailed Assessments & Acceleration Guides — Baseline maturity, identify gaps, and translate findings into prioritized, capability-specific actions.
- Capability Design & Implementation Support — Co-design and stand up core building blocks (reference architecture, reusable components, operating model) in your environment.
- Technical Coaching — Upskill platform and engineering teams through hands-on enablement (pairing, design reviews, implementation guidance, and playbooks).
Areas of Focus
- Understanding the Value of Your Data
- Ensuring Your Data is Trustworthy
- Ensuring Your Data is Discoverable
- Ensuring Your Data is Understandable
- Ensuring Your Data is Accessible
- Ensuring Your Data is Observable
- Ensuring Your Data is Connectible
Outcomes You Can Expect
- A clear data readiness baseline — where you stand today across key readiness capabilities
- A prioritized remediation plan — what to fix first, with owners and sequencing
- Faster delivery cycles — less time spent searching, validating, and reworking data inputs
- Lower risk exposure — clearer governance, lineage, and guardrails for GenAI usage
- A reusable readiness foundation — repeatable patterns teams can apply to new use cases
This is the Solution for You, if:
- You’re pursuing GenAI use cases, but teams can’t consistently find or trust the right data
- You need alignment on target-state data readiness and governance (not just tooling)
- You want a concrete plan and building blocks to operationalize readiness—without slowing momentum
- You need to support multiple GenAI initiatives with shared, reusable data capabilities