AI Pilots and Scaling
AI pilots are multiplying faster than governance, ownership, and scale plans
Kymata connects AI investment decisions to the portfolio — so pilots are funded, governed, and scaled with clarity.
See how it worksKymata connects AI opportunities to current technology investments so pilots, funding, and scale decisions are tied to value, risk, and portfolio reality.
The challenge
AI decisions made in isolation from the portfolio
AI investments get evaluated in isolation. Without portfolio context, teams can't see overlap, funding tradeoffs, or a clear path from pilot to scale.
Parallel AI evaluation
AI investments are evaluated in parallel to the existing portfolio instead of against it.
Overlap blindness
Teams cannot see where AI tools overlap with current software or where existing spend could fund new AI investment.
Pilot sprawl
Pilots multiply faster than governance, ownership, and scale plans.
No path to scale
No structured path from pilot to production — experiments expand without clear criteria for scaling or stopping.
The solution
Portfolio-aware AI planning with a governed path from pilot to scale
Connect AI planning to the portfolio—so teams compare options, prioritize by value, and move from pilot to scale with control.
Portfolio-aware AI planning
Compare AI options to current tools, capabilities, and spending.
Prioritize by value and fit
Assess expected benefit, adoption fit, risk, and timing before scaling.
Execute with control
Move pilots and scale decisions through defined workflows and controls.
Outcomes
What better AI planning unlocks
Better choices about where AI should augment, replace, or coexist with existing software.
Clearer funding logic for AI priorities.
Less duplication and uncontrolled experimentation.
A more disciplined path from pilot to scaled value.
Frequently Asked Questions
Fund AI from the portfolio—with clarity and control
See how Kymata helps teams compare AI options to current spend, prioritize by value, and scale with structure.