Two services.
One bar.

Investors and boards facing a portfolio company's next AI bet. Scale-up CEOs deciding whether to commit months to a build. Corporate innovation leads with budget on the table and a go / no-go due. Anyone whose next decision on an AI product is real, costly to get wrong, and currently being made with mostly internal voices.

Two to four weeks, depending on scope. A kickoff to align on what's being decided. Two or three working sessions with the client team and any relevant stakeholders. Document review, technical assessment, and where useful, conversations with target customers or domain experts. A written final readout with a clear recommendation.

A diligence document covering technical feasibility, product viability, commercial viability, and a recommended path forward. Honest. Specific. Includes a "what we'd kill" section when warranted  -  and we are willing to write that section when the answer is kill it.

Dmitry leads technical feasibility. Regina leads product viability and commercial assessment. The recommendation is jointly written and jointly defended.

• The decision is genuinely high-stakes  -  a real bet, not a small experiment.
• You want senior outside eyes before months get committed to building.
• You'd rather hear "kill it" from us now than from the market in six months.

• You're looking for a vendor evaluation or RFP scoring exercise.
• You need engineering hands to do the building.
• The decision is already made and you want validation.

Scale-ups and corporate teams that have decided to ship something AI-powered and don't have the product muscle to do it well. Often post-diligence clients where the answer was "ship it, but you need help." Sometimes clients who already know they need product setup and don't need diligence first.

Regina embeds with the team as fractional product lead  -  one to three months, scoped per engagement. She owns the product practice during that window: roadmap, prioritization, the decisions about what to kill, the connective tissue between engineering, design, and the customer-facing side of the business. Dmitry provides AI architecture direction and senior advisory at key checkpoints.

A shipped MVP or first production release. A working product management process. A team that can keep going after we're gone  -  that's the test. We're not building a dependency.

Regina is the primary delivery capacity. Dmitry is the senior AI and architecture voice in the room when it matters  -  sprint reviews, technical decisions, vendor or model choices, the moments where getting it wrong costs months.

• You've decided to ship and the bottleneck is product, not engineering.
• You want a senior operator embedded, not a deck of recommendations.
• You're prepared for honest decisions about what to cut, including features the team is attached to.

• You want full-time product leadership long-term  -  we're a setup engagement, not a permanent fractional role.
• You need an implementation team or developers.
• The product strategy isn't decided yet  -  that's a diligence conversation first.