Accelerated Innovation

Our Solutions Capability Accelerators Enterprise GenAI Data Readiness
Remove the Data Friction Slowing GenAI Scale

Help teams find, trust, and govern the data GenAI needs. Remove data friction so stronger answers, safer usage, and scalable value become possible.

Key GenAI Data Readiness Challenges

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?

The Bottom-Line
GenAI performs better when teams can find, trust, retrieve, and improve the data that matters most.

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.

Enterprise GenAI Data Readiness
Launch Pad
Weeks 1 - 4
Baseline Your Readiness
Develop a clear view of your current state readiness, including:
  • 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
2 Hr. Leadership Alignment & Action Planning Session
A high-impact leadership working session focused on:
  • 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
Enterprise GenAI Data Readiness
Mission Control & Lift-Off
Weeks 5 - 12
Benchmark Assessment + Acceleration Guides
Develop a clear view of Enterprise GenAI Data Readiness, including:
  • 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
Define your readiness assessment + enablement needs and plan for your GenAI Data Readiness
Explore the methods, standards, and delivery disciplines in our GenAI Data Readiness certification series, including:
  • 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
Enterprise GenAI Data Readiness
Mission Accelerate
Weeks 12+
Scaling Play Book Design & Implementation
Configure and operationalize your scaling approach, including:
  • 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
Insights Design & Implementation Support
Turn data into insights and insights into action by:
  • 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
Weekly Quick Wins
An actionable set of applied Quick Wins to build and sustain momentum, structured as:
  • < 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
Your Acceleration Plan
  • 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
Your Comms 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.
Your Change Plan
  • 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.
On-Demand Coaching
  • 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

A fast-paced leadership alignment and action planning sprint to:
  • 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

Confidently scale your GenAI Data Readiness with a tailored TOM that helps you turn fragmented data into a governed, trusted, retrieval-ready advantage.

Targeted GenAI Data Readiness Quick Wins

Rapidly solve a targeted GenAI Data Readiness challenge, including:
  • 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
“Our team left with a clearer view of which data was ready, which wasn’t, and what needed attention first.”
VP, Data Strategy, Healthcare Analytics client

Outcomes you can expect

Clarity

Create a clearer view of what data you have, where it lives, how it’s used, and what’s needed to support GenAI.

Trust

Improve confidence in the quality, reliability, and suitability of the data your GenAI solutions depend on.

Usability

Make data easier for teams to interpret, evaluate, and use effectively in GenAI contexts.

Connectedness

Strengthen how well data, knowledge, and context connect across systems, sources, and workflows.

Observability

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 videos

Frequently Asked Questions

1. Why do this now?
2. What will we get?
3. Will it work here?
4. How do we make it real?
5. How do we make it stick?
  • 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.
Turn Fragmented Data Into GenAI-Ready Advantage