The Situation
Tax prep is an industry where capacity is fixed during the peak and demand isn't. The operational math is brutal: every call that goes to voicemail during tax season is a potential client won by whichever competitor answered theirs. Every document lost in an email thread is a return that stalls. Every client who doesn't get an off-season touchpoint is a renewal that quietly doesn't come back next January.
KT Everyday Tax needed the kind of operational infrastructure that would let the firm run a high-volume tax-prep operation without burning out the team — and that would keep the firm connected to clients through the long quiet stretch between filing seasons.
What AI360° Built
The Voice AI Agent
A voice AI agent answers inbound calls live in production. It's not a generic phone bot — it's tuned for tax-prep inquiries specifically. The agent handles scheduling requests, answers common questions about service offerings and document requirements, captures new-client information, sends document-request links via SMS or email, and only routes genuinely complex cases to a human.
The point isn't replacing the firm's phone presence — it's making sure the firm never misses a call. Tax-season calls that go to voicemail disappear into competitor pipelines. Voice AI catches them all.
Twenty-Six Active Workflows
The 26 workflows cover the full tax-prep client lifecycle — new client welcome, document collection, engagement letter delivery, filing-status updates, e-signature follow-up, refund notification, extension requests, quarterly-estimate reminders, annual engagement renewal, referral asks, review requests, and off-season nurture. Every transition point that would normally require a staff member to remember is covered by a workflow that runs automatically.
Two Pipelines, Tax-Specific
Two pipelines separate the different streams of client work that flow through a tax prep firm — for example, new-client intake vs. returning-client renewal, or individual vs. business filings. The separation lets the firm see at a glance what's happening on each side and spot which pipeline is slipping before it becomes a capacity problem.
Why Voice AI in Tax is Particularly Powerful
Tax prep is a highly seasonal business where the marginal value of a single captured call is enormous during the peak. A voice AI agent running 24/7 means:
- No missed prospects during peak. Tax-season calls at 8 PM on a Sunday get captured, not lost.
- Document-request automation on first touch. New-prospect conversations end with a tailored document checklist sent before the caller hangs up.
- 24/7 scheduling. Prospects who are only free to call after work can still book their appointment.
- Consistent front-door experience. Every caller gets the same intake quality regardless of who's on staff that day.
Voice AI is a force multiplier during tax season. It doesn't replace the team — it absorbs the predictable front-door work so the team can spend time on the engagements and edge cases where human judgment actually matters.
Why This Matters for Other Tax and CPA Firms
KT Everyday Tax is proof that voice AI in a tax firm isn't a roadmap item or a demo — it's working in production. Every firm AI360° talks to about voice AI can be pointed to an existing deployment that has handled real calls from real prospects in a real tax season.
It's also a pressure-test for the workflow library that other CPA firms inherit through the turnkey package. The 26 workflows running at KT Everyday Tax are the same workflows other tax firms adopt — they've already been tested, debugged, and hardened through production use.
Who This Is For
Tax preparation firms, CPA practices with a heavy tax-season load, and accounting businesses that are:
- Missing calls during peak season and losing prospects to faster competitors
- Running the firm on a team that's burned out by filing deadlines
- Losing touch with clients during the off-season and watching renewal rates slip
- Spending too much staff time chasing documents that should collect themselves
- Ready to deploy voice AI but skeptical it actually works in a professional-services context