Help teams find, trust, and govern the data GenAI needs. Remove data friction so stronger answers, safer usage, and scalable value become possible.
Data readiness becomes the bottleneck when GenAI depends on fragmented, weakly governed information that’s hard to retrieve and improve. That’s when leaders start asking data questions like:
Are we...
…helping teams find the right data fast?
…confident our data is accurate, complete, and timely?
…making retrieval patterns reusable across teams?
…preventing our vector store from becoming a junk drawer?
…able to prove the delivery impact of data readiness?
Build the data capability GenAI scale demands
Built to turn fragmented data into a governed, retrieval-ready enterprise asset, our Enterprise GenAI Data Readiness Playbook helps leaders remove the data friction that slows delivery, weakens answers, and limits GenAI scale.
Launch Pad
- Structured 1:1 discovery sessions to surface business priorities, adoption maturity, and scaling constraints
- A targeted readiness scan to expose the data gaps slowing answer quality, retrieval performance, and scale
- An executive brief outlining priority risks, sequencing options, and the moves required to strengthen enterprise data readiness
- Aligning leaders on the data conditions GenAI scale actually requires
- Exploring applied Use Cases, adoption best practices, and key “Watch Outs”
- Aligning on an actionable scaling plan
Mission Control & Lift-Off
- Pinpointing the readiness gaps creating the most delivery friction, answer-quality risk, and governance drag
- Exploring our 24 Enterprise GenAI Data Acceleration Guides
- Leveraging a GenAI Strategist-led planning session to prioritize actions, sequence quick wins, and define your path forward
- Implementing Value Scoring for In-Scope GenAI Data
- Ensuring Your GenAI Data is Trustworthy
- Enterprise GenAI Search Best Practices
- Enterprise GenAI Data Explorability Best Practices
- Enterprise Data Entitlements Management Best Practices
- GenAI Data Definition Best Practices
- GenAI Metadata Management Best Practices
- Co-deliver quick wins that build confidence, improve adoption, and accelerate target-state delivery
Mission Accelerate
- Configuring and customizing your GenAI Data Readiness scaling playbook
- Defining the operating model, ownership, and governance rhythms needed to sustain readiness at scale
- Optimizing and evolving your TOM as priorities, data sources, and use cases change
- Configuring and customizing your GenAI Data Readiness metrics and insights plan
- Defining the metrics, governance signals, and operating reviews needed to track readiness, surface friction early, and prove progress
- Optimizing and evolving your insights as readiness improves, risks shift, and new gaps emerge
- < 30 Day Wins: Lightly configurable resources and solutions
- 30 – 60 Day Wins: Lightly customizable Quick Wins
- 60 – 90 Day Wins: Higher-impact Quick Win deliverables
- Baseline your GenAI data readiness, friction points, and retrieval foundations
- Tailor the plan to the retrieval priorities, data bottlenecks, and governance gaps that most affect answer quality
- Deliver Quick Wins, build capability, and scale priority solutions through one integrated plan
- Identify your priority stakeholders, communication needs, and the data-readiness issues most likely to create confusion or resistance
- Configure and deliver a tailored GenAI Data Readiness communications plan, custom Comms Hub, and role-specific enablement assets
- Build and sustain momentum with explainers, demos, videos, and proof points.
- Define your quarterly GenAI Data Readiness review, optimization, and adaptation process
- Enable quarterly strategy and scaling plan updates, with rapid response to major market, innovation, data, and competitor shifts
- Keep your GenAI Data Readiness approach evergreen by adapting to new GenAI requirements, closing newly exposed gaps, and continuously improving your approach.
- Identify where teams need targeted coaching to overcome readiness, prioritization, retrieval, or execution gaps
- Deliver tailored expert support, working sessions, and practical guidance where progress is slowing, ownership is unclear, or decisions are getting stuck
- Help teams reduce friction, improve retrieval readiness, and keep GenAI Data Readiness efforts moving with more confidence
Choose Your On-Ramp...
Choose the starting point that fits your data readiness urgency, maturity, and scope—from focused alignment to quick wins or a full playbook.
An Accelerated Alignment & Action Planning Sprint
- Baseline your current GenAI data readiness maturity
- Expose the highest-impact readiness gaps
- Align on the priorities that matter most
- Define your path forward
- Identify near-term Quick Wins
Build the Data Capability GenAI Scale Demands
Targeted GenAI Data Readiness Quick Wins
- Baseline your current readiness and quality gaps
- Address a high-priority data bottleneck, trust issue, or retrieval problem
- Clarify the data priorities that matter most
- Align on practical actions to move forward
- Deliver focused progress in a matter of weeks
Outcomes you can expect
Create a clearer view of what data you have, where it lives, how it’s used, and what’s needed to support GenAI.
Improve confidence in the quality, reliability, and suitability of the data your GenAI solutions depend on.
Make data easier for teams to interpret, evaluate, and use effectively in GenAI contexts.
Strengthen how well data, knowledge, and context connect across systems, sources, and workflows.
Improve your ability to monitor data readiness, detect issues early, and respond as GenAI needs evolve.
Complimentary Resources
Curious About What “Great Looks Like”?
Review our “GenAI Data Readiness” Whitepaper
Want to See How You Compare?
Complete our GenAI Data Readiness Scan or Assessment
Want an easy way to come up to speed?
Click here to listen to our GenAI Data Readiness Podcast
Want to dig deeper?
Click here to check out our library of YouTube videosFrequently Asked Questions
- Why do we need to improve GenAI data readiness now?
Because GenAI can’t perform well on data that is hard to trust, find, understand, or connect. - What outcomes should we expect from this work?
Stronger data trust, better usability, clearer context, and more confidence in GenAI outputs. - What happens if we don’t address GenAI data readiness early?
Weak outputs, slow delivery, and rework persist because the data foundation isn’t ready.
- What do you mean by “GenAI data readiness”?
Making priority data clear, trusted, connected, and usable for GenAI. - What are the main deliverables from this work?
A view of readiness gaps, improvement actions, and a data roadmap. - What do “Quick Wins” look like in GenAI Data Readiness work?
Identify high-value sources, resolve trust gaps, and improve access to key content.
- Does this only apply to highly structured data environments?
No—it matters in structured and unstructured environments wherever GenAI depends on trusted data. - Can this work even if our data environment is complex or fragmented?
Yes—it helps teams prioritize the data that matters most instead of fixing everything at once. - Does this cover more than data quality?
Yes—it covers accessibility, context, workflow fit, and observability—not just data quality.
- How do you decide which data readiness issues to address first?
We prioritize the data gaps most likely to improve usefulness, trust, and delivery speed. - How do you keep this from turning into a massive data cleanup effort?
We fix the data issues that matter most, instead of trying to clean everything. - How do you connect data readiness to GenAI solution success?
We tie data improvements to the use cases and workflows that depend on them.
- Who should be involved from our side?
Data leaders, business stakeholders, and product and technology teams that own critical data. - How do you keep data readiness efforts from losing momentum?
We focus teams on clear priorities, ownership, and a manageable improvement path. - How do you sustain this after the initial work is done?
We build a repeatable readiness model that improves as GenAI needs expand.