Prove what works with the Forward Deployed AI Innovation Pod.
A 2-week, fixed-fee embedded engineering sprint designed to test your highest-value AI opportunities against your real operational environment or product before major capital expenditure.
Quick facts
The Forward Deployed AI Innovation Pod at a glance.
Duration
2 weeks
Audience
Mid-market leaders (e.g. Founder/CEO, CTO, CPO, Head of Product, or similar).
Current AI maturity
Concept-phase, needs to see proof
Outcomes include
Tangible proof of value across AI use cases before investment.
Data and technical feasibility assessment of your highest-value AI opportunities.
Full ownership of working prototypes.
Clear next steps outlined in production-readiness analysis.
Download the Forward Deployed AI Innovation Pod Fact Sheet
Purpose
Rapid working prototypes to test what’s possible, what’s valuable, and why — before you commit significant capital.
Working proof, not slide decks
Prototypes built for your live use cases, not consulting decks that deliver only theory.
Feasibility before funding
Concepts stress-tested against data readiness, technology constraints, and integration needs.
Production gaps made visible
Reveals what needs to be solved before full launch such as cost controls, governance, and security.
“Our experience with MojoTech is outstanding. Their team displays unparalleled flexibility and supports our projects from start to finish, with exceptional attention to detail. Their dedication to delivering the best possible outcome for their clients is truly commendable. We highly recommend MojoTech to anyone looking for top talent, quality output, and a team that’s easy to work with.”
Jason Lien
Director of Product, Schneider Electric
Process
Our AI Value Activation Framework condensed into a rapid prototyping engagement.
Orient
Align on the business problem, target users, workflow, autonomy level, data realities, risk boundaries, and success criteria.
Identify
Select the strongest prototypes to target and define what proof needs to show for the investment to move forward.
Build
Create lightweight working prototypes in the most appropriate environment — client-owned, MojoTech-owned, or hybrid — using sample, masked, or synthetic data.
Validate
Demo with stakeholders, capture feedback, assess feasibility, document production gaps, and recommend the next phase.
Deliverables
Fully-vetted AI concepts in two weeks.
Working prototypes
Prototypes of your highest-signal opportunities. Yours to keep, demo, and build on regardless of what comes next. Not slides. Working prototypes delivered as code.
Prototype Decision Cards
One card per prototype: what was tested, what was learned, what it means for your business and your next investment decision. Each card ties back to observations from real stakeholder or user interactions with evidence of what the prototype does or does not deliver.
Data + Technical Assessment
A structured but concise assessment of whether your data and systems can support each prototyped opportunity. Surfaces blockers early in the production lifecycle, before they become expensive.
Production-Readiness Gap Analysis
A clear view of what must still be solved before production — covering architecture, integrations, data pipelines, security, governance, monitoring, cost controls, human-in-the-loop requirements, ownership, and support.
Results
Talk is cheap. Results are what matter.
260%
increase in internal productivity for Amica
5M+
active users added since launch for MoneyLion
60%
reduction in quality control costs for Shell
300%
increase in bookings for Angi
$1B+
revenue from b2b customers for UnderArmour
390%
increase in member event RSVPs for BCBSRI
161%
increase in plan conversions for BCBSRI
30M
membership growth for Credit Karma
Team construction
Meet your dedicated team of AI experts.
AI Strategist
avg. industry experience: 14 years
Ensures you are investigating the right opportunities that align with a clear operational value and measurable business case.
Forward Deployed Full Stack Engineer
avg. industry experience: 12 years
Turns the strongest concepts into working prototypes, tests critical assumptions in your environment, and accelerates the path to production.
Next steps
What happens after my Innovation Pod?
You will have vetted prototypes to validate your AI concepts. This will inform whether a product strategy, workflow strategy or full product build is the next logical step forward.
FAQ
Frequently asked questions.
A free discovery call produces a proposal based on educated guesswork without the ability to validate assumptions. The Forward Deployed AI Innovation Pod produces validated proof-of-value working prototypes, and can surface hidden issues or constraints based on experience and experimentation.
Modern AI tools change the velocity equation significantly. The goal is not a production-ready system. It is a working prototype that generates a real reaction from users, surfaces a real data or technical feasibility constraint, and produces a real go or no-go decision. Two weeks is enough for that.
The pod is not only an entry point for organizations new to AI. For mature AI teams, it is a fast, low-friction way to pressure-test new ideas without spinning up a full strategy or build engagement every time. Think of it as a continuous innovation mechanism that sits alongside your existing AI program.
That is still a valuable outcome. Knowing that a specific use case is not the right investment for your business following a two-week sprint is more economical and safer than finding out after a full production rollout. The pod either opens a door or closes one. Both are useful.
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