Accounting-first, not AI-first
We start with the work, not the technology. We understand review as a craft — prior-year deltas, exception categories, partner judgment — before we write a line of code. The technology serves the work, not the reverse.
Built around how your firm already works. Partner-grade review judgment stays with your partners — we give them the hours back.
I started in accounting in high school, interned at a small CPA firm during college, and majored in it at James Madison through my junior year before switching to Computer Information Systems to build the software firms like that one would eventually run on.
The decade since has been enterprise platform delivery: implementing, integrating, and driving adoption of complex systems across mid-market and federal organizations — regulated environments, systems people actually depend on.
Gensync's accounting practice brings those two threads back together: the domain I started in, built with AI at the core rather than added on top. It's where the firm goes deepest today.
Many tax workflows slow down before a reviewer ever opens the return. Client documents come in late, incomplete, or across multiple places. Open questions sit in email. Staff have to decide whether the file is truly ready to move forward or whether starting now will create stop-start work and rework later.
Gensync helps firms clarify that ready-to-start handoff: what was requested, what was received, what is still missing, what questions are open, and what needs human review before the file moves to prep or review.
This is workflow-first work. AI only gets used where it helps organize, compare, summarize, or draft. Staff and partners stay in control.
Every mid-size firm we've talked to has the same pattern. Prep capacity is fine — you have associates, you have seniors, you have offshore support if you need it. Returns get prepared.
Then the returns hit partner review, and everything compresses. Partners are the only people in the firm authorized to sign, and partner hours are fixed. March doesn't care how many associates you hired.
The industry's answer has been to work longer hours. That's not a plan — that's an eroding margin and a retention problem.
Gensync's answer is different. Keep the partner in the chair where they need to be. Have AI do the work of surfacing what needs their attention, so when they open a return, the anomalies, inconsistencies, and prior-year deltas are already in front of them.
We don't publish pricing on the site. The shape of a right-sized engagement depends on the firm, the season, and the returns involved. These tiers are the starting points for that conversation.
One season. One workflow. Measurable result.
A focused engagement for firms that want to see this work on their actual returns before committing to more. Scoped to a single season with a defined set of review types.
The core engagement.
Full implementation of AI-assisted review inside your firm's workflow. Integrated with your existing tax prep software, trained on your prior-year returns, embedded in how your partners actually work.
Embedded across the firm.
For firms that want AI-assisted review as a permanent capability, extending into adjacent workflows — audit planning, advisory prep, client communications. Ongoing refinement as your firm grows.
The same people run every stage — no handoff from sales to delivery to support. From the first workflow discovery session through season in delivery, you're working with the team that builds the engagement.
We sit with your partners and reviewers through a handful of real returns. How do they scan? What catches their eye? Where does review slow down? No AI talk yet — we're learning the craft first.
From the discovery sessions, we map the patterns that drive partner attention: prior-year deltas, anomaly signatures, client-specific quirks. This becomes the spec for what the system should surface.
We build the initial review assistant against your actual returns, in your actual environment. Then we sit with partners again — this time comparing what the system flags against what the partner would have flagged. We tune from there.
Once calibration is good, the assistant becomes part of your normal review flow. It runs ahead of the partner. When the partner opens the return, the notes are already there.
During busy season we're on standby. Weekly check-ins during the heaviest weeks, fast response when something looks off. We measure partner review hours per return against the pre-engagement baseline and report honestly — good, bad, or mixed.
Four things we hold ourselves to. If any of them stop being true for your engagement, we want to know about it first.
We start with the work, not the technology. We understand review as a craft — prior-year deltas, exception categories, partner judgment — before we write a line of code. The technology serves the work, not the reverse.
We don't build systems that sign returns. We build systems that prepare the partner to sign efficiently. The review decision stays with the human who's responsible for it — we make sure they see what they need to see.
Clear data custody from day one. We don't ingest client returns into third-party models unsupervised. Your training data is your training data. We'll walk your IT and compliance teams through exactly how every byte flows.
The metric that matters is partner review hours per return, measured against your own baseline. Not seat counts, not subscription revenue, not feature adoption. If we don't save time, we haven't delivered.
Gensync's accounting work is new. We are not going to stand here and tell you we've saved a hundred partner-hours across dozens of firms. That would be a lie, and you'd see it in a minute.
What we can say honestly: we are currently working with pilot firms targeting the 2026 busy season. The founder's background — a decade of enterprise delivery, combined with accounting training and firm experience — is what makes us credible to start. The rest is on us to earn with actual results.
The outcome we expect to measure is a meaningful reduction in partner review hours per return, with equal or better exception-catch rate against the firm's prior-season baseline. That's the number that matters to a managing partner, and that's the number we're committing to.
When the pilot engagements produce real numbers worth sharing, we'll publish them. Named with permission, anonymized otherwise. If the numbers don't land where we expected, we'll say that too.
A thirty-minute call. No slide decks. We'll ask about how your partners currently review returns, what your busy season looks like, and whether any of what we do here applies to your firm.