DySys pairs operator judgment with agentic AI to diagnose revenue complexity, pressure test execution, and build durable momentum for small, midsize, and PE-backed companies.
DySys is short for Dynamic Systems. The name comes from how revenue actually behaves: not a funnel that moves in one direction, but a system of interacting parts (market, message, pipeline, team, process, and data) where a change in one place shows up somewhere else.
Dynamic systems create complexity. That complexity is why growth stalls in companies that are doing plenty of things right: the signals conflict, the forecast drifts, and leadership ends up debating symptoms instead of causes. The work is not adding more activity. It is finding the line through the system that actually leads to revenue.
That is what DySys does. We work directly with CEOs, CROs, founders, and PE operating partners on revenue architecture, GTM operations and execution, and fractional CRO engagements. We bring operating experience and a repeatable framework rather than a deck of recommendations.
That line has a shape. We read six layers of a revenue system (market and ICP, offer and value, demand and pipeline, sales execution and deal quality, retention and expansion, and leadership and operating cadence) and score each on four dimensions: people, process, data, and systems (tooling and platform). The pattern that comes back tells you what is actually holding the number, what is downstream noise, and in what order the fixes are worth making.
01 → 04: four moves, run as a loop. Momentum is what accumulates between laps.
Most revenue tools report what already happened. PressureTest is built to do the opposite: apply pressure to pipeline, deals, and rep readiness while there is still time to change the outcome.
It is our agentic AI toolset: a set of agents that analyze pipeline and deal risk, simulate buyer behavior against a rep's discovery and messaging, and surface the levers that actually move the number. The output is not a longer report. It is a shorter list of what to do next, with the evidence behind it.
The longer-term intent is continuity. Every engagement produces signal, and that signal compounds, so diagnostics, readouts, and advisory reinforce each other instead of living in separate places. Consulting sets the direction; PressureTest keeps it honest between engagements.
In a controlled pilot: Pipeline Intelligence reads pipeline and deal risk for where the forecast is thin, not just where it is large.
In a controlled pilot: BuyerSim builds a realistic buyer so reps can test discovery and messaging before the call that counts.
Planned: executive readouts that quantify what moves revenue this quarter, and what can wait.
Duke Sullivan founded DySys after building and running revenue organizations, the same rooms his clients are in now, with the same pressure on the number. DySys first operated in 2016-17, building IoT service and sales readiness programs.
Along the way he helped build and exit a $170M IoT platform business, led a 50+ person sales organization to $200M+ in cloud services revenue, and launched two consulting practices from scratch while driving $150M+ in consulting sales. Much of it was in PE-backed companies, where the timeline is short and the reporting is unforgiving. That experience shapes how DySys engages: diagnose fast, be specific about causes, and stay through execution rather than handing over a plan.
He leads every engagement directly, with PressureTest carrying the analytical work. He completed MIT Professional Education's Applied Agentic AI for Organizational Transformation and holds MindStudio's Level 2 AI Agent Developer certification.
A free introductory call to scope where the complexity is and whether DySys is the right fit.