Planview AdaptiveWork · applied AI
Your business evolved past your system. We close the gap — and instrument it so it stays closed.
Eleven years in one platform, including three inside the vendor. Embedded with your team, accountable through the whole lifecycle.
One of the most well-rounded consultants and technology leaders I’ve worked with.Named recommendation on LinkedIn
NovaLeap · applied AI
The intelligence layer on top of the work you already run — grounded in how HyperLeap built it, accountable for the outcome.
The difference
Your platform's built-in AI knows what's in your data. What it can't know on its own is why your instance was configured the way it was — the process logic, the trade-offs, the business intent behind every decision.
NovaLeap does, because HyperLeap authored it. The platform brings the foundation. The last mile is local.
We know why every switch is set the way it is, because we set it.
Work doesn't stop at the platform boundary, so neither do we.
Every system we run ships with quality checks that show whether it's accurate enough to trust.
The Signal Read
Your AdaptiveWork instance holds years of history. It's the most honest record you have of how work actually runs — and the foundation AI needs to be useful. The Signal Read turns that history into a measured baseline and a ranked plan for what AI should run next.
We pull the adoption and integrity signals from your live data, and interview four to six stakeholders — including at least one skeptic.
We measure how work runs today against how the system was engineered to run it, and separate where AI has leverage from where the process needs to catch up first.
We present findings to your leadership team, ranked by effort and impact, with a plan for what to run first.
The state of your instance in plain language — where work flows, where it stalls, and where the business has moved past what the system was built for.
Today's numbers, captured: active usage, field completeness, stale records, shadow work. Performance metrics wherever your data supports them.
Every opportunity sized by effort and impact, so the sequence is obvious and the quick wins are visible on day one.
The specific workflows NovaLeap should drive and tune next — each with an expected outcome and a cost to stand it up.
Scope
One fixed fee, no change orders. A defined, defensible number that a current-year budget line can carry — not an open-ended engagement.
Your business will keep moving, so a one-time fix starts aging the day it ships. The Signal Read ends with a build plan and a number. The natural next step is a Drive engagement: NovaLeap standing up the top opportunities, running them live, and tuning them each quarter so the gap doesn't reopen.
Proof
Every recommendation below is public, named, and posted on the recommender's own LinkedIn profile.
Bridge the gap between business strategy and technology execution.
Worked with HyperLeap for nearly three years across multiple large-scale systems implementations.
Read the full recommendationGrasps complex client needs — even the ones clients themselves struggle to put into words.
Partnered on a global project management platform build for a design and construction organization.
Read the full recommendationOne of the most well-rounded consultants and technology leaders I've worked with.
Worked alongside HyperLeap across two organizations over seven years — from a capital planning implementation to a global enterprise work management platform.
Read the full recommendationEngagements
Client names stay out of our marketing by default. Recommenders name their own organizations on their own profiles.
Several past clients have offered to speak with serious prospects directly. Ask and we'll arrange it.
About
I joined Clarizen in 2015 — first in Professional Services, delivering implementations, then three years in Sales Engineering, where the job was understanding what a business actually needed before anyone wrote a line of configuration.
That combination is unusual. Most consultants learn a platform from the outside. I learned it from inside the vendor, across both delivery and pre-sales, and then spent the years since implementing it for enterprises in construction, product, finance, and IT.
Eleven years in one platform isn't narrowness. It's the reason I can walk into an instance and see, in an afternoon, where the business has moved past what was built for it.
The model
We work the way a forward deployed engineer works — embedded with your team, hands-on in your actual system, staying through the whole lifecycle. Not here to hand off a plan — here to be accountable for whether the work actually runs better.
That means we're in your instance, not in a conference room. We stay past the recommendation. And when something we built doesn't work the way it should, we're the ones who fix it.
Trusted advisors who can guide an engagement end to end.Recommendation on LinkedIn · read it
What we believe
Construction programs, product roadmaps, capital planning, IT delivery — different vocabularies, same underlying shape. Portfolios of work competing for the same finite capacity.
Systems don't fail because they were built wrong. They fall behind because the business kept moving. That's why the loop matters more than the launch.
Pointing AI at a broken workflow produces faster mistakes. Fix the process, instrument it, then let AI run it.
Thirty minutes, no deck. Tell me what's not working and I'll tell you what I'd look at first.