Move from “it works in the lab” to “it performs in production”—reliably, safely, and at scale. Build the engineering, evaluation, and operational backbone needed to keep quality high, risk low, and trust intact.
Promising GenAI solutions break down on the way to production when guardrails are weak, readiness is unclear, and delivery discipline isn’t built for scale. At that point, leaders start asking questions like:
Are we...
…ready to deploy Agentic AI outside of the lab?
…putting the right guardrails in place to avoid opening security exposures across our environment?
..clear when our GenAI solutions are ready for customers?
…upskilling our software developers to become real GenAI engineers?
…understanding the full range of competencies needed to develop and support production-quality GenAI solutions?
Turn GenAI solutions into production-quality AI
Built to move beyond demos and deliver real-world value, our Develop & Support High-Impact GenAI Solutions Playbook helps leaders turn promising concepts into production-quality AI solutions with the engineering rigor, support model, and delivery discipline required to scale.
Your Production-Quality GenAI Solution Playbook @ a Glance
- Structured 1:1 discovery sessions to clarify priorities, adoption maturity, and scaling constraints
- A targeted readiness scan to assess your baseline readiness
- An executive brief covering production-quality GenAI solution design and delivery best practices and their implications
- Introducing scalable methods to develop and support production-quality GenAI solutions
- Exploring applied Use Cases, adoption best practices, and key “Watch Outs”
- Aligning on an actionable scaling plan
- Identifying and prioritizing key gaps in your ability to develop and support high-impact GenAI solutions
- Exploring our 11 High-Impact GenAI Solution Development Acceleration Guides
- Leveraging a GenAI Strategist-led planning session to define your action plan
- Making Your Solution Data “GenAI Ready”
- Evaluating and Selecting the Best Model(s) for Your GenAI Solution
- An Introduction to Understanding Natural Language GenAI User Requests
- An Introduction to GenAI Routing
- An Introduction to GenAI Tool Management
- Agentic AI for Executives
- An Introduction to Enterprise GenAI Search
- An Introduction to GenAI Data Retrieval Best Practices
- An Introduction to Generating High-Quality GenAI Responses Series
Securing Your GenAI Solution - Responsible AI for AI Engineers
- Pricing & Packaging High-Impact GenAI Solutions
- An Introduction to LLM & GenAI Ops
- An Introduction to Evaluation Driven Development (EDD)
- Iteratively Tuning Your GenAI Solutions
- Co-deliver quick wins to “make it stick” and accelerate your target state delivery goals
- Configuring and customizing your GenAI Solution Delivery scaling playbook
- Operationalizing your GenAI Solution Delivery Target Operating Model (TOM)
- Optimizing and evolving your TOM
- Configuring and customizing your GenAI Solution Delivery metrics and insights plan
- Operationalizing your GenAI Solution Delivery Insights Plan and Operational Processes
- Optimizing and evolving your insights
- < 30 Days Wins: Lightly configurable resources and solutions
- 30 – 60 Day Wins: Lightly customizable Quick Wins
- 60 – 90 Day Wins: Increasingly high value Quick Win deliverables
- Baseline your GenAI delivery readiness, capability gaps, and supporting resources
- Tailor the plan to the delivery gaps, release priorities, and readiness decisions needed for production scale
- Deliver Quick Wins, build capability, and scale priority solutions through one integrated plan
- Identify your priority stakeholders, communication needs, and solution delivery readiness gaps
- Configure and deliver a tailored GenAI Solution Delivery 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 Solution Delivery review, optimization, and adaptation process
- Enable quarterly strategy and scaling plan updates, with rapid response to major market, innovation, and competitor shifts
- Keep your solution delivery approach evergreen by reducing execution friction, adapting quickly, and continuously improving how you build, launch, and support high-impact GenAI solutions
- Identify where your teams need targeted coaching to overcome solution delivery, support, or execution gaps
- Deliver tailored expert support, working sessions, and practical guidance
- Help your teams strengthen delivery, improve support readiness, and keep your GenAI Solution Delivery efforts moving forward
Choose Your On-Ramp...
Choose the right on-ramp for your GenAI Solution Delivery journey—whether you’re looking to rapidly align and mobilize, solve targeted challenges, or scale your GenAI Solution Delivery holistically.
An Accelerated Alignment & Action Planning Sprint
A fast-paced leadership alignment and action planning sprint to:
- Baseline your current GenAI solution delivery maturity
- Explore best practices
- Align on top priorities
- Define your path forward
- Identify near-term Quick Wins
Accelerate & De-Risk Your GenAI Solution Delivery Journey
Confidently scale your GenAI Solution Delivery with a tailored TOM that helps you turn delivery into repeatable launch, support, and scale.
Targeted GenAI Solution Delivery Solutions
Rapidly solve targeted GenAI Solution Delivery scaling challenges, including:
- Baseline your current solution delivery and support gaps
- Solve a high-priority solution delivery challenge
- Clarify your target path to launch and support
- Align on practical actions to move forward
- Deliver focused progress in a matter of weeks
Outcomes you can expect
Strengthen your ability to build, launch, and support high-impact GenAI solutions more effectively.
Improve the consistency, reliability, and production-readiness of your GenAI solutions.
Build stronger support processes so users can adopt, trust, and sustain your solutions over time.
Create a more repeatable foundation for expanding successful GenAI solutions across teams and use cases.
Focus delivery efforts on the GenAI solutions most likely to create meaningful business value.
Complimentary Resources
Curious About What “Great Looks Like”?
Review our “GenAI Solution Delivery” Whitepaper
Want to See How You Compare?
Complete our GenAI Solution Delivery Scan or Assessment
Want an easy way to come up to speed?
Click here to listen to our GenAI Solution Delivery Podcast
Want to dig deeper?
Click here to check out our library of YouTube videosFrequently Asked Questions
- Why do we need a stronger approach to GenAI solution delivery now?
Because value comes from delivery, not ideas alone—teams need a reliable way to ship GenAI solutions that work in practice. - What outcomes should we expect from this work?
Higher-quality delivery, faster progress, fewer avoidable issues, and stronger business results. - What happens if we don’t improve GenAI solution delivery?
Teams ship underperforming solutions that create rework and weaken trust or adoption.
- What do you mean by “GenAI solution delivery”?
The delivery model for building, testing, launching, and improving GenAI solutions. - What are the main deliverables from this work?
Delivery priorities, defined roles, checkpoints, and a launch path. - What do “Quick Wins” look like in GenAI Solution Delivery work?
Clarify roles, tighten checkpoints, and improve testing and feedback loops.
- Does this only apply to large or complex GenAI programs?
No—it works for focused solutions and larger portfolios that need tighter delivery discipline. - Can this work across different types of GenAI solutions?
Yes—it supports copilots, assistants, workflow tools, knowledge solutions, and other GenAI experiences. - Does this cover more than engineering execution?
Yes—it covers priorities, coordination, testing, launch readiness, and feedback—not just engineering execution.
- How do you improve delivery without slowing teams down?
We strengthen delivery practices that raise quality and reduce rework without slowing teams. - How do you balance speed, quality, and reliability?
We make sound delivery choices that protect quality and reliability without adding drag. - How do you move from pilot delivery to repeatable execution?
We turn early lessons into repeatable practices, checkpoints, and launch discipline.
- Who should be involved from our side?
Product, delivery, engineering, and business teams plus owners of testing and launch readiness. - How do you keep GenAI delivery from becoming too fragmented?
We define clear roles, checkpoints, and a repeatable path from concept to launch. - How do we sustain this after the initial work is done?
We give teams a delivery model they can keep using as solutions grow and spread.