Receive a board-ready AI investment map with economically-feasible AI opportunities stress-tested against ROI, total cost of ownership (TCO), and data readiness.

Quick facts
4 hours
$8,700
C-suite executives and operational leaders tasked with AI implementation
Capital allocation gating
Executive Brief
1-2 feasible agentic AI opportunities
Directional financial framing
Purpose
All investment decisions validated by a team of technical experts.
Data readiness validated early to avoid pilot purgatory.
We quantify ROI, TCO, and quantify payback before a line of code is written.
“MojoTech is everything I could ask for in a product development partner. They quickly became trusted members of our product and engineering teams, and we relied on them to independently drive critical initiatives ranging from new feature development to enterprise integrations and legacy modernization.”
Amit Gulati
SVP Engineering
Deliverables
A prioritized 1-2 page summary of the validated AI opportunity, focused on either product value (Growth) or workflow impact (Efficiency), giving leadership a clear focus for next steps.
A board-ready recommendation that frames the validated opportunity and de-risks the next investment phase. A definition of the direction, business outcomes, and required autonomy level provided by our two technical experts.
High-level value hypotheses and investment assumptions that provide the core financial justification for the next capital allocation (e.g., revenue lift, cost reduction, or operational efficiency).
A concise Executive Brief and Production Roadmap that acts as the clear, immediate bridge into the next engagement.
Alignment Acceleration
Agenda
Discovery
Pre-workshop sync to confirm the journey track, review existing ideas, and tailor the session agenda to the client's specific context.
Strategic framing and reality calibration
Scene-setting on AI maturity, autonomy levels, relevant industry adoption patterns, and common failure modes. Calibrated to the client's journey track.
Opportunities and outcomes convergence
Structured identification of where AI creates maximum leverage, tailored to your track: Growth Engine (AI Product) or Efficiency Engine (AI Transformation).
Feasibility stress-test and risk profiling
Stress-testing 1 to 2 high-priority opportunities against data readiness, technical constraints, and autonomy requirements to shape directional hypotheses.
Investment direction
Facilitated executive alignment on a board-ready investment path and the recommended next phase of engagement.
Results
2X
faster test case writing time
4X
increase in documentation efficiency
15%
lower troubleshooting and debugging time
60%
reduction in quality control costs
161%
increase in plan conversions
Meet your team
avg. industry experience: 14 years
Leads the engagement end to end. Owns the pre-workshop intake, session facilitation, strategic framing, and investment direction narrative. Tailors the workshop to the client’s journey track to identify the best places to add AI and ensure all outputs connect business goals to execution-ready recommendations.
avg. industry experience: 11 years
Leads technical feasibility assessment during Sessions 3 and 4. Stress-tests shortlisted opportunities against data readiness, system constraints, and architecture dependencies. Ensures investment hypotheses are grounded in what is actually buildable given your current environment.
Next steps
FAQ
Very little preparation is required. Before the workshop, we'll run a 60-minute pre-workshop discovery call to understand your business priorities, current AI or automation efforts, potential use cases, known constraints, and key stakeholders.
This call helps us tailor the workshop around your organization's specific goals, pressure points, and decision needs. You do not need to come with a fully defined AI strategy or technical requirements. We'll use the pre-workshop call to calibrate the right path, confirm attendees, and ensure the workshop is focused on clear, decision-ready outcomes.
For an AI Product workshop, we recommend product leaders and stakeholders responsible for customer experience, product strategy, innovation, or digital growth. For an AI Transformation workshop, we recommend operational leaders who understand the workflows, business processes, efficiency goals, and organizational pain points being explored.
In either case, the workshop should include a decision-maker or executive sponsor, the business owners closest to the opportunity, and at least one technical stakeholder who understands your systems, data, integrations, and current technology constraints. This helps ensure the investment direction is both valuable to the business and realistic to execute.
If you already have several high-quality AI ideas and are just seeking proof-of-value prototypes, the Forward Deployed AI Innovation Pod would likely be a more suitable starting point for your organization. If you need, the AI Investment Workshop can allow you to stress-test those ideas against feasibility, autonomy levels, and operational impact before you invest in working prototypes.
The biggest mistakes we see fall into one of two categories: jumping in too fast or getting stuck in analysis paralysis. AI hype leads many organizations to invest significant capital into AI products, features, and agentic workflows before they have done their due diligence. This often results in wasted capital and no ROI.
The other common mistake is endlessly evaluating AI opportunities but never quite figuring out where to invest. This results in compounding competitive disadvantages as your competitors move faster. The AI Investment Workshop serves to cut through both of these mistakes by laser-focusing on de-risked AI opportunities worthy of your investment.
AI opportunities are evaluated using our AI Value Activation Framework that considers business impact, technical feasibility, data readiness, implementation risk, autonomy requirements, and potential ROI. This approach helps organizations avoid pursuing AI initiatives that are exciting in theory, but unlikely to succeed in practice.
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