Veyra Capital says AI’s next phase will be operational

Veyra Capital has published a new perspective from Venture Partner Konstantin Katsev arguing that AI’s next big shift will come from workflow execution, not chat interfaces. The view comes as enterprises move from experimenting with AI agents to scaling systems that can produce measurable business outcomes.

Why it matters: - Veyra Capital is betting that the next wave of AI value will come from systems that complete defined work inside business operations. - The shift matters for investors and operators because measurable workflow execution is harder to copy than a general-purpose chatbot. - The perspective frames operational AI as a path to durable enterprise value, not just user-facing convenience.

What happened: - Veyra Capital published a new investment perspective from Venture Partner Konstantin Katsev titled “The Next Phase of AI Will Be Operational, Not Conversational.” - Katsev argues that the next stage of AI adoption will be defined by the technology’s ability to work inside real business workflows, carry out bounded actions and deliver measurable outcomes. - The article centers on the move from conversational AI toward systems that can perform operational work. - Veyra made the perspective available online through the full perspective.

The details: - Katsev said the most important systems will not only recommend actions, but also help complete defined work while keeping human accountability for exceptions and consequential decisions. - Veyra points to a widening gap between AI experimentation and enterprise-scale deployment. - McKinsey’s 2025 global survey found that 62% of respondents said their organizations were at least experimenting with AI agents. - McKinsey’s 2025 global survey also found that 23% of respondents were scaling an agentic system within at least one business function. - Katsev identifies five traits that separate operational AI from a general-purpose conversational assistant: integration into a specific recurring workflow, results tied to measurable business outcomes, exception handling and human handoffs, auditable actions with defined accountability, and improvement through proprietary operational context and feedback. - The perspective draws on categories across Veyra Capital’s portfolio, including AI procurement, go-to-market technology, logistics, property operations and technology-enabled physical services. - Zinit, a Veyra portfolio company, is building AI agents for procurement workflows including supplier discovery, eRFx preparation, bid evaluation, negotiation and contract drafting. - Explee uses AI for company research, prospect discovery and go-to-market workflows. - Veyra’s wider portfolio includes logistics platform Fura, UK property and lettings platform Dwelly and London mobile repair platform Tyred. - Katsev said the durable advantage is unlikely to come from access to the same model competitors can use, but from understanding a workflow, integrating into it and building the trust needed to execute reliably.

Between the lines: - The argument reflects a broader market reset from AI demos to AI deployment. - Veyra is signaling that enterprise buyers and investors may reward products that show control, accountability and measurable output over open-ended interaction. - The portfolio examples suggest Veyra sees operational AI as most valuable where software touches recurring, high-friction business tasks.

What's next: - Katsev is available for interviews and expert commentary on operational AI, agentic business models, technology-enabled services and the investment implications of AI moving from interfaces into workflows. - Veyra Capital will likely keep emphasizing businesses that combine AI with workflow integration and execution reliability. - The market will keep testing whether agentic systems can move from experimentation to repeatable business results at scale.

The bottom line: - Veyra Capital is making a clear thesis call: the next AI winners will be judged less by how well they talk and more by how well they work.