Approach
We start focused, build together, and adapt to your needs.
Most engagements start with a focused Agentic Performance Management (APM) pilot and expand as value is proven, with ownership of the build shifting from OVG to your team along the way.
How we work
From first conversation to handoff.
Six steps, each with a clear next step, and enablement running throughout.
OVG leads the build
Your team leads the build
AI workshops and enablement run throughout.
Hands-on sessions that upskill finance and IT teams on the stack, AI platforms, and building with agents.
Delivery principles
What you can hold us to.
Four commitments, each with a practice behind it.
Co-builds, AI adoption playbooks, and agent skills are delivered with every engagement, not sold as extras.
One use case in production first, then priorities that adjust as the business changes.
Every team blends finance and technical depth, so nothing gets lost in translation.
Governed data, one definition of every metric, evaluations for every agent, and testing before anything reaches a decision-maker.
What we need from you
Four things that make a pilot work.
We confirm each one before the build starts, so the pilot runs on schedule.
FAQs
Questions finance leaders ask us.
Don't see yours? Bring it to the demo.
Buying feels safer, but it carries its own risks: multi-year contracts, rising renewals, and a vendor-controlled roadmap in a category AI is disrupting. We reduce build risk with a 6–10 week pilot on one high-value use case, a proven architecture, and platforms you already license. You see results before committing to more.
With one high-value use case, usually on data and platforms you already have. You won't build all five layers at once; we add layers only when they earn their place. Your team works in tools it already knows, and the architectural complexity sits with us.
Your team does, and we make sure they're ready. Every engagement includes co-building, AI adoption playbooks, and agent skills, so knowledge transfers as the work gets done. Managed services are available if you want them, as a choice, not a dependency.
Most clients don't when they start. We build first, then co-build with whoever you have or hire, and upskill the team through workshops along the way. The stack is designed to be maintained by finance-savvy analysts, not a software engineering team.
That's a common starting point. Many clients begin with a use case their CPM tool doesn't cover well, such as executive reporting agents or connected data, so they get value now and have an alternative ready by the next renewal.
It runs on platforms IT already governs and pays for, in your tenant, with no new vendor to secure. We bring IT in from day one with clear roles, and IT gets more visibility and control than it has with a third-party CPM tool.
Not on their own. That's why we build the governed data, semantic layer, and context underneath the agents. In one deployment, agent accuracy went from roughly 50% on a frontier model alone to 95%+, and every answer traces back to a query on source data.
Most of the stack runs on platforms you already pay for, so new software spend is minimal, and clients moving off legacy CPM have cut annual software spend by 50–90%. Services are scoped by use case, starting with a fixed-scope pilot, so you can measure the return before expanding.
Getting Started
Start with a 30-minute conversation.
See a live demo, talk through your priorities, and pick the first use case to prove value in 6–10 weeks.