Accelerated Innovation

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Our Solutions Capability Accelerators Enterprise GenAI Evaluation as a Service
Stop Shipping GenAI Changes Blind

Make evaluation part of how GenAI gets built, tested, released, and improved—not a late-stage checkbox. Catch regressions earlier, prove improvements with evidence, and ship changes with more confidence.

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Key Enterprise GenAI Evaluation Challenges

Evaluation as a service fails when fragmented scorecards, manual checks, and inconsistent release standards let regressions slip through under delivery pressure. That’s when leaders start asking quality questions like:

Are we...

…using release gates that can catch hidden quality failures?

…helping teams test what actually matters?

…seeing where regressions can reach users first?

…using a scorecard that can survive executive scrutiny?

…making evaluation fast enough to protect delivery?

The Bottom-Line
Evaluation as a service helps teams release faster without losing control of quality, safety, or trust.

Build the release discipline GenAI scale demands

We help teams build reusable evaluation services that protect quality, safety, and trust without slowing every release.

GenAI Evaluation-as-a-Service
Launch Pad
Weeks 1 - 4
Baseline Your Readiness
Develop a clear measure of your current state readiness including:
  • Structured 1:1 discovery sessions to surface release, evaluation, and governance priorities
  • A targeted readiness scan to isolate the highest-impact testing, gating, and monitoring gaps
  • An executive brief covering enterprise evaluation-driven delivery best practices, scaling requirements, and business implications
2 Hr. Leadership Alignment & Action Planning Session
A high-impact leadership working session focused on:
  • Introducing scalable methods to embed evaluation-driven delivery across the GenAI lifecycle
  • Exploring applied Use Cases, adoption best practices, and key “Watch Outs”
  • Aligning on an actionable scaling plan
GenAI Evaluation-as-a-Service
Mission Control & Lift-Off
Weeks 5 - 12
Benchmark Assessment + Acceleration Guides
Develop a clear view of Enterprise GenAI Evaluation as a Service, including:
  • Identifying and prioritizing the testing, release-gating, and monitoring gaps creating the most delivery risk
  • Exploring our 23 Enterprise GenAI Evaluation Acceleration Guides
  • Leveraging a GenAI Strategist-led planning session to define your action plan
Define your readiness assessment + enablement needs and plan for your GenAI Evaluation as a Service
Explore core concepts & methods in our GenAI Evaluation as a Service certification series, including:
  • Defining Your Evaluation-Driven Delivery Strategy & Governance Framework
  • Pre-Production Evaluation Best Practices
  • CI/CD Evaluation Integration Best Practices
  • Production Guardrails, Monitoring, & Drift Response
  • Continuous Improvement & Knowledge Sharing Best Practices
  • Co-deliver quick wins to “make it stick” and accelerate your target-state delivery goals
GenAI Evaluation-as-a-Service
Mission Accelerate
Weeks 12+
Scaling Play Book Design & Implementation
Configure and operationalize your scaling approach, including:
  • Configuring and customizing your GenAI Evaluation as a Service scaling playbook
  • Defining the decision rights, release gates, and operating cadence required to govern GenAI changes at scale
  • Optimizing and evolving your TOM as release cadence, models, risk thresholds, and use cases change
Insights Design & Implementation Support
Turn data into insights and insights into action by:
  • Configuring and customizing your GenAI Evaluation as a Service metrics and insights plan
  • Defining the scorecards, alerting, and review rhythms needed to surface regressions, drift, and release risk early
  • Optimizing and evolving your insights so risk signals get clearer as delivery scales
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-value Quick Win deliverables
Your Acceleration Plan
  • Baseline your release evaluation discipline, scorecard gaps, and supporting resources
  • Tailor the plan to the release gates, scorecard priorities, and evaluation gaps most likely to create regression risk
  • Deliver Quick Wins, build capability, and scale priority solutions through one integrated plan
Your Comms Plan
  • Identify your priority stakeholders, communication needs, and evaluation service readiness gaps
  • Configure and deliver a tailored GenAI Evaluation as a Service 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 Evaluation as a Service review, optimization, and adaptation process
  • Enable quarterly strategy and scaling plan updates, with rapid response to major market, innovation, service, and competitor shifts
  • Keep your evaluation service approach evergreen by continuously tightening release standards, updating scorecards, and adapting how evaluation is embedded as delivery evolves
On-Demand Coaching
  • Identify where your teams need targeted coaching to overcome evaluation, gating, monitoring, or execution gaps
  • Deliver tailored expert support, working sessions, and practical guidance where release confidence is weak or delivery teams are stuck
  • Help your teams strengthen evaluation discipline, improve release decisions, and keep GenAI delivery moving without lowering the bar
Scale GenAI Evaluation with Confidence

Choose Your On-Ramp...

Choose the starting point that fits your evaluation service 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 evaluation service maturity
  • Identify the biggest evaluation, release, and monitoring gaps
  • Align on the release priorities that matter most
  • Define your path forward
  • Identify near-term Quick Wins

Build the Release Discipline GenAI Scale Demands

Stand up reusable evaluation services that help teams test quality, safety, drift, and release readiness without slowing delivery.

Targeted Evaluation-Driven Delivery Quick Wins

Rapidly solve a targeted GenAI Evaluation as a Service challenge, including:
  • Baseline your current evaluation service and rollout gaps
  • Fix a high-priority evaluation, release, or monitoring bottleneck
  • Clarify the delivery priorities that matter most
  • Align on practical actions to move forward
  • Deliver focused progress in a matter of weeks
“An aligned approach to evaluation was a game changer. Suddenly, we knew where our solutions were getting stuck and what we needed to solve.”
VP, Engineering, Global Financial Services client

Outcomes you can expect

Release Readiness

Prepare your teams, processes, and standards to support GenAI releases with stronger gates, clearer scorecards, and more dependable evaluation coverage.

Consistency

Create a more uniform approach to how GenAI quality, safety, and task success are measured across teams, use cases, and release decisions.

Efficiency

Reduce duplication and manual effort by making evaluation easier to run, reuse, and embed across the delivery lifecycle.

Confidence

Give leaders and teams stronger assurance that GenAI changes are being tested rigorously and released with evidence, not hope.

Impact

Turn evaluation as a service into better model decisions, stronger solution quality, and more meaningful business results.

Complimentary Resources

Curious About What “Great Looks Like”?

Review our “GenAI Evaluation as a Service” Whitepaper

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Want to See How You Compare?

Complete our GenAI Evaluation as a Service Scan or Assessment

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Want an easy way to come up to speed?

Click here to listen to our GenAI Evaluation as a Service Podcast

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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 GenAI Evaluation as a Service now?
    Because ad hoc evaluation doesn’t scale—teams need a reusable way to assess GenAI quality across solutions.
  • What outcomes should we expect from this work?
    Consistent evaluation, faster cycles, reusable support, and stronger quality signals.
  • What happens if we don’t build evaluation as a service?
    Teams duplicate effort, apply uneven standards, and improve too slowly to scale well.
  • What do you mean by “GenAI Evaluation as a Service”?
    A shared service that gives teams reusable ways to evaluate GenAI solutions.
  • What are the main deliverables from this work?
    A service model, reusable methods, and scalable quality support.
  • What do “Quick Wins” look like in Evaluation as a Service work?
    Standardize criteria, improve reusable tests, and reduce duplication across teams.
  • Does this only apply to large GenAI portfolios?
    No—it helps anywhere multiple teams need shared, repeatable evaluation support.
  • Can this work across different GenAI use cases?
    Yes—it supports copilots, assistants, workflow tools, knowledge experiences, and other evaluated solutions.
  • Does this cover more than model testing?
    Yes—it covers usefulness, consistency, readiness, and improvement signals—not just model testing.
  • How do you decide what the service should provide first?
    We start with evaluation support that cuts duplication and improves the most important decisions.
  • How do you keep this from becoming too heavy or centralized?
    We design the service to be reusable and easy to use, not another bottleneck.
  • How do you connect the service model to solution improvement?
    We make sure evaluation outputs drive priorities, learning, and better quality decisions.
  • Who should be involved from our side?
    Product, engineering, and evaluation leaders, plus owners of quality standards and service delivery.
  • How do you keep evaluation support consistent across teams?
    We define shared methods and service expectations so teams get consistent evaluation support.
  • How do you sustain this after the initial work is done?
    We establish a scalable service model that improves quality as demand grows.
Stop Shipping GenAI Changes Blind
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