SynHy Client Report

Taylor Dental Action Version

A decision-focused SynHy report showing financial leak, intervention sequence, and payback logic for Taylor Dental.

Action Version Decision path, payback model, and next-step clarity

Built to make the business case plain: where value is leaking, what SynHy corrects first, and why the first move is small enough to start.

SynHy Actionable Assessment Report

Action-Forward Assessment for a Multi-Provider Dental Office

Actionable Assessment Report
Taylor Dental

Decision Version: Financial Leak, Intervention, and Payback Model for a Modern Dental Organization

SynHy delivers enterprise-grade outcomes without enterprise-grade cost.

Assessment Focus

This version is built to do more than explain the office. It is built to make the business case for intervention obvious: where revenue and time are leaking now, which operational corrections recover value fastest, and how Taylor Dental can deploy a governed version of Elliot without waiting on a full platform replacement.

The operating thesis stays the same: Codex builds and maintains custom skills around the practice stack. What changes in this version is sequence. Money, intervention, payback, and next-step clarity come first. The deeper diagnostic pages that follow exist as evidence for action.

At A Glance

Practice profile: Mid-sized multi-provider dental office

Estimated monthly waste: $28K-$52K across treatment, schedule loss, inbox drag, insurance delay, and recall leakage

Fastest intervention window: 72 hours to define first corrections, release sequence, and ownership rules

Core workflows: Scheduling, patient communication, treatment follow-up, recall, insurance, and front-desk coordination

Agentic layer: Taylor Dental's version of Elliot

Build engine: Codex-generated and maintained internal skills

Outbound channels: Twilio SMS and SendGrid email

Data access: Governed patient roster, chart, and scheduling insight skills

Prepared By

SynHy

Report Type

Decision-forward operational AI assessment

Date

April 22, 2026

How to Read This Report

This version keeps the same SynHy visual and operating framework, but it changes the sequence. Financial leak, intervention priority, expected lift, and investment come first. The deeper pages that follow still show the operating truth in detail, but they now serve as evidence for action rather than analysis for its own sake.

Estimated Monthly Waste$28K-$52K
Recoverable In 30 Days$14K-$26K
Fastest Intervention72 Hours
Expected Payback30-60 Days

Current Monthly Leakage by Source

Unscheduled treatment $22K No-shows and late cancels $17K Inbox re-entry and lookup drag $14K Insurance and pre-auth delay $11K Recall and reactivation leakage $9K Tool overlap and manual chasing $7K 0 $10K $20K $30K

This is the monthly money story. The office is not losing value in one dramatic place. It is losing it across repeatable process leakage that compounds every day.

First 90 Days of Recovery

90-day lift $24K-$48K
Treatment follow-up Schedule fill Inbox triage Insurance clarity Recall recovery

The first lift does not require replacing the practice system. It comes from correcting the highest-value leaks around it first.

Why This Requires Action

The Cost of Doing Nothing Is Already Visible

Taylor Dental is not waiting on a strategy deck. It is already paying for delay through incomplete treatment pursuit, underfilled columns, repeat inbox handling, fragmented patient context, and insurance coordination that gets rebuilt instead of surfaced. Left alone, those losses keep compounding inside a capable office.

What SynHy Corrects First

First Build Sequence

SynHy starts where money moves fastest: inbox triage, treatment follow-up, schedule recovery, and patient-context access. That is the shortest path from operational friction to measurable financial correction.

Codex builds the skills. Elliot governs the office layer. Twilio and SendGrid handle the outbound channels. Taylor Dental keeps the workflow logic.

Fix Snapshot

Inbox Triage and Routing

Replace manual inbox watching with governed triage, draft support, and intent-based routing.

  • Expected Gain: $4K-$7K monthly
  • Time to Deploy: 2-5 days after approval
Fix Snapshot

Treatment Pursuit Engine

Group unscheduled care by value, urgency, provider, and communication history, then trigger the next right contact.

  • Expected Gain: $8K-$16K monthly
  • Time to Deploy: 3-7 days after data access
Fix Snapshot

Schedule Fill and Reminder Rules

Use Twilio and SendGrid logic to protect tomorrow’s book, recover holes faster, and reduce same-day drift.

  • Expected Gain: $6K-$10K monthly
  • Time to Deploy: 2-4 days after rule confirmation
Fix Snapshot

Patient Insight Layer

Give staff conversational access to roster, chart, balance, treatment, and scheduling truth without multi-screen hunting.

  • Expected Gain: $3K-$6K monthly
  • Time to Deploy: 3-5 days for first release
Priority Logic

Why These Workstreams Move First

SynHy does not start with the biggest diagram. SynHy starts with the shortest path to recovered value. For Taylor Dental, that means correcting the workstreams where revenue, schedule health, and office time intersect every day: treatment pursuit, schedule recovery, inbox triage, and patient-context access.

Operating Principle

What Taylor Dental Stops Paying For

Taylor Dental stops paying for repeated lookup work, missed follow-up, reactive schedule patching, and the slow loss of patient confidence that happens when the office cannot answer fast with one coherent story.

Value vs. Deploy Speed Matrix

Lower Value / Faster Higher Value / Faster Lower Value / Slower Higher Value / Slower Deploy Speed Monthly Value Recovery TR SF IT PI RC IN TR Treatment Recovery SF Schedule Fill IT Inbox Triage PI Patient Insight RC Recall IN Insurance

Treatment recovery, schedule fill, and inbox triage sit in the strongest combination of speed and near-term value.

First 30-Day Recovery Mix

30-day mix $14K-$26K
Treatment Schedule Inbox Patient Insight Recall

The first month is not about everything. It is about reclaiming the highest-value slice of loss fast enough to change momentum.

Operational Change

What SynHy Builds Instead

  • Governed inbox triage and message drafting
  • Patient insight skill with chart, roster, and schedule context
  • Treatment-pursuit logic tied to value, urgency, and provider context
  • Schedule protection and hole-recovery workflows through Twilio and SendGrid
Leadership Benefit

What Leadership Gains First

  • Fewer manual touches per patient interaction
  • Faster response speed without adding more front-desk burden
  • Better treatment follow-through and cleaner schedule control
  • Visible proof that the office can move with one operational brain
Execution Sequence

What Happens in the First 72 Hours

1

Hours 0-24

Confirm leadership priorities, data-access boundaries, communication rules, and the first revenue leaks to attack.

2

Hours 24-48

Map the first skills, routing logic, approval rules, and outbound sequences across inbox, treatment, schedule, and patient insight.

3

Hours 48-72

Deliver the prioritized release sequence, expected lift model, ownership map, and the first build plan that SynHy can execute immediately.

72-Hour Output

What Taylor Dental Receives Fast

  • Priority-ranked leak and intervention map
  • Custom skill blueprint for Elliot and connected workflows
  • Twilio and SendGrid outbound logic plan
  • Data-access and governance boundary definition
  • Build sequence, ownership model, and commercial scope

72-Hour Workstream Timeline

0-24 Hours 24-48 Hours 48-72 Hours Leadership Workflow Layer Commercial Priorities Rules + Access Release Sequence Skill Map Routing Logic First Build Plan Value Model Scope Lock Investment Path

This 72-hour window does not promise final deployment. It defines the first release path clearly enough that SynHy can move from assessment into implementation without drift.

Leadership Receives

Decision Clarity

Leadership leaves with a ranked intervention plan instead of a stack of disconnected observations.

Office Receives

Operational Relief Plan

The office gets a short list of process corrections aimed at reducing rework, lookup drag, and follow-up misses first.

SynHy Receives

Build Certainty

SynHy gets the access, rules, and commercial alignment needed to move from diagnosis into a real fixed-fee build.

Commercial Outcome

Shorter Time to Action

The report stops being a nice read and becomes the bridge into the first high-value release.

Delivery ModelFixed Fee
Phase 1 Build Window2-4 Weeks
Expected 90-Day Lift$24K-$48K
Estimated Payback30-60 Days
Assessment and Activation $2.5K-$5K

Leadership alignment, leak summary, skill map, first release sequence, and commercial scope confirmation.

Recommended Phase 1 Build $12K-$18K

Inbox triage, patient insight, schedule protection, treatment follow-up, and governed Twilio / SendGrid release logic.

Phase 2 Expansion $8K-$14K

Insurance coordination, recall refinement, reporting, and additional office skills once the first layer is live.

Estimated Cost vs. Recovered Value Over Six Months

$0 $25K $50K $75K M1 M2 M3 M4 M5 M6 Run Rate
Estimated project cost Recovered value trajectory

This model is intentionally conservative. The point is not fantasy upside. It is that a focused first build can pay for itself faster than the office expects once the highest-value leaks are corrected.

Commercial Framing

How SynHy Prices the Work

SynHy prices by phase and expected business value, not by letting the office bleed through an undefined time-and-materials exercise. The goal is to keep the first move small enough to start quickly and valuable enough to prove the model fast.

Why the Economics Work

Enterprise-Grade Outcomes Without Enterprise-Grade Cost

Taylor Dental gets the benefit of enterprise-style workflow discipline, governed automation, and agentic support without paying for a bloated consulting layer or a full platform replacement before the first gains arrive.

1

Patient Inquiry and First Contact

Patient reaches out by phone, email, text, portal, or web form. The office has to understand intent, urgency, provider fit, and history fast.

2

Scheduling and Benefit Context

Team places the appointment, checks visit type, timing, insurance context, and whether the schedule can absorb the request without creating future chaos.

3

Visit Prep and Patient Readiness

Forms, reminders, confirmations, chart alerts, and provider context must be ready before the patient walks in or joins the day already behind.

4

Chairside Encounter and Checkout

Clinical findings, treatment recommendations, balances, next appointments, and handoff details need to move from operatory to front desk without losing clarity.

5

Follow-Up, Recall, and Reactivation

Treatment plans, unscheduled care, hygiene recall, unanswered patient questions, and schedule-fill opportunities need disciplined next steps.

Where the Workflow Breaks

The office has a clear care motion. The friction appears in the transitions: inbox to schedule, schedule to chart, chart to chairside, chairside to checkout, checkout to treatment follow-up, and recall to reactivation. Those are exactly the places where governed Elliot skills and rules-based automation can remove repeat drag.

Workflow Friction Map

1 2 3 4 5 Inquiry Scheduling Visit prep Checkout Follow-up High High Medium High High

The pattern is classic for a busy dental office: intake and scheduling soak up too much exception handling, then checkout and follow-up amplify the drag.

1. Inbox Handling Is Too Manual

Email, portal, and patient-message traffic still depend on human sorting, human summarizing, and human memory of who owns the next move.

2. Scheduling Logic Lives Inside People More Than the System

Provider fit, appointment type, hygiene cadence, treatment urgency, chair availability, and no-show recovery rules are not consistently systematized.

3. Patient Context Is Too Hard to Retrieve

Staff can ask Elliot about open treatment, recent communications, balances, medical alerts, or schedule history instead of performing repeated lookups.

4. Treatment Follow-Up Is Uneven

Once a patient leaves without scheduling, too much depends on whether a coordinator remembered to chase it and whether the message quality stayed high.

5. Insurance and Pre-Auth Status Is Reconstructed

The office can usually get the answer, but it often cannot get it fast enough or in one consistent place.

6. Reporting Is Assembled Instead of Read

Leadership still has to piece together schedule fill, unscheduled treatment, recall risk, and communication performance after the fact.

Severity and Frequency Snapshot

Severity Frequency Inbox Follow-up Lookup Sched Reporting

Estimated Monthly Leakage

Leak sourceEstimated monthly impact
Unscheduled diagnosed treatment not pursued with discipline$10K-$18K
No-show and late-cancel schedule holes$6K-$10K
Front-desk and coordinator time lost to inbox re-entry and repeated lookups$5K-$8K
Insurance and pre-auth follow-up drag$3K-$6K
Recall and reactivation leakage$3K-$5K
Tool overlap and duplicate communication work$2K-$5K

SynHy Interpretation

Taylor Dental is not losing money because it lacks effort. It is losing money because too much office work still requires human cleanup, human context gathering, and human chase sequences that are structured and accelerated through better systems.

Owner Sentiment

"None of these leaks look dramatic one patient at a time. They just quietly tax the office all month."

Where Patients Feel the Pain

  • Having to repeat treatment questions or scheduling details across phone, email, and portal.
  • Slow answers to simple questions that are resolved by context-aware drafting and routing.
  • Reminder and confirmation experiences that feel generic instead of informed by the patient's actual situation.
  • Unscheduled treatment follow-up that feels delayed or absent after an otherwise strong chairside conversation.
  • Weak continuity when the office knows the patient clinically but cannot surface that knowledge fast enough operationally.
Front Desk Sentiment

"Patients can tell the difference between a reply that understands them and a reply that simply exists."

Common patient sentiment

"I thought someone would get back to me yesterday." That sentence usually means the process failed before the people did.

Patient Journey Sentiment Curve

Inquiry Scheduling Pre-visit Visit Checkout Follow-up Recall High trust Low trust

What Is Working

Taylor Dental already creates real treatment opportunities in the operatory. The clinical conversation is not the weak link. The weak link is what happens after the patient leaves without scheduling, or after a patient asks for time to think.

What Is Not

  • Follow-up timing and message quality vary too much by employee.
  • No single clean queue exists for unscheduled treatment by provider, age, value, and clinical urgency.
  • Patient objections and unanswered questions are not always captured into the follow-up path.
  • Leadership cannot easily tell whether treatment was not pursued or simply not accepted.

High-Value Opportunity

Give Elliot a treatment-follow-up skill that groups unscheduled care by value, provider, urgency, patient type, and communication history, then drafts personalized follow-up through Twilio SMS and SendGrid email for review or governed auto-release.

Treatment coordinator

"We do not need more lists. We need one engine that knows who to contact, why, and what gets said next."

Treatment Aging Funnel

100 treatment plans presented 74 contacted within 24 hours 58 received tailored follow-up 39 still actively pursued 27 accepted Top of funnel Scheduled production

The goal is not to guess exact percentages. It is to show how much diagnosed production can disappear without disciplined, context-aware follow-up.

Inbox Reality

The front desk is the live nervous system of the practice. Today it spends too much time reading, triaging, interpreting, forwarding, rewriting, and checking the same patient context across email, portal, and schedule views. A governed Elliot handles first-pass sorting, summarizing, and draft generation.

Core Problem

Email and portal messages arrive with mixed urgency, but the office has no durable way to grade or queue them cleanly.

Core Problem

Scheduling adjustments still depend on who knows the provider pattern, room constraint, or hygiene rhythm best.

Core Problem

Reminder and reschedule work is still too manual when the office gets busy or the schedule breaks late in the day.

Front Desk Sentiment

"The schedule tells us where the day is. It does not tell us what is about to break."

Message and Scheduling Load by Hour

7a 8a 10a 12p 2p 4p 5p 6p 7p
Inbound patient request load Scheduling exception load

Chairside Workflow Pain

  • Providers and assistants still lose time hunting for communication history, balances, or prior treatment context.
  • Checkout handoff quality varies depending on how compressed the schedule feels.
  • Unscheduled treatment reasons are not always captured in a way that helps later follow-up.
  • Clinical notes, medical alerts, and operational next steps do not always flow into one useful office summary.
  • Too much value leaves the operatory without a clear next move already owned.
Assistant Sentiment

"The work is not just dentistry. It is making sure the next person actually receives the right version of what just happened."

SynHy View

The goal is not to make clinicians do more admin. It is to let Elliot turn treatment notes, checkout direction, and patient questions into a clean office handoff summary so the front desk and treatment coordinator are working from one reliable narrative.

Chairside Time Allocation

Current state Patient care Lookup Handoff/admin Other With Elliot handoff support
Patient care Chart navigation / lookup Handoff / admin Residual misc

Current Workflow Pattern

Insurance verification, pre-authorizations, and treatment coordination are not broken because the team lacks care. They are broken because the request path is too fragmented. Information arrives by portal, payer site, email, note, call, memory, and attached document. That makes the work reactive instead of controlled.

Core Friction

  • Benefit checks and pre-auth status living in too many places
  • Treatment coordinators rebuilding the same patient story for payment and scheduling conversations
  • Outstanding documentation or payer notes missing urgency and owner tags
  • Patients waiting on answers that the office technically has, but cannot surface cleanly

Operational Fix

A lightweight coordination workspace plus Elliot skill set cleans up requests, standardizes required data, attach payer or chart context, and give the office one controlled queue instead of scattered follow-up.

Insurance Task Funnel

100 insurance tasks opened 78 complete on first pass 61 advanced without extra chase 45 same-day ready patients Cleaner data means faster care movement

Leadership Questions That Need Faster Answers

  • Which unscheduled treatment dollars are aging without disciplined follow-up?
  • Which inbox categories are consuming the most staff time?
  • How many schedule holes were created by no-shows, late cancels, or weak reminder performance?
  • Which recall patients convert fastest when the office reaches out in the next 48 hours?
  • How fast is the office actually responding to email, portal, and treatment questions?
Leadership Sentiment

"I can usually get the answer. I just cannot get it quickly, consistently, or in one story."

KPI Visibility Matrix

Visible now Delayed Manual Invisible Unscheduled treatment Inbox SLA No-show cause Recall conversion Schedule fill risk

Best-Fit AI Uses for Taylor Dental

  • Inbox Concierge Skill: reads office email and portal traffic, tags urgency, summarizes patient intent, and drafts responses for staff approval
  • Patient Lens Skill: lets staff ask Elliot about patient roster, treatment history, balances, medical alerts, open tasks, and recent communication without manual screen-hopping
  • Schedule Orchestrator Skill: applies office rules for provider fit, visit type, chair availability, and recovery logic before suggesting or auto-routing a scheduling action
  • Treatment Reactivation Skill: drafts patient-specific follow-up based on unscheduled care, objections, timing, and prior responses
  • Ops Narrator Skill: explains daily schedule risk, inbox burden, treatment aging, and recall gaps in plain language for management

Where Codex Helps Internally

Codex is not just a chat endpoint in this model. It is the build engine. It helps create and maintain the office's custom skills, routing logic, audit prompts, response templates, scheduling rules, data cleanup tasks, and reporting views. That means Taylor Dental is not trapped waiting on a vendor roadmap for every little operational improvement.

What this is not

Not AI theater. Not an uncontrolled bot talking to patients. The right model is governed skill access, reviewed messaging, and rules around what Elliot may and may not do.

AI Caution

Elliot does not improvise treatment recommendations, insurance promises, or PHI handling outside approved rules. The value is in governed access: summarize, draft, route, interpret patterns, and surface the right patient context at the right time.

AI Opportunity Matrix

Business impact Ease to implement I P S T O I Inbox triage P Patient insight S Scheduling assistant T Treatment follow-up O Ops narrative

High-Confidence Automation Candidates

WorkflowAutomation typeWhy it matters
Appointment reminders and confirmationsTwilio-powered rule-based SMS workflowReduces no-shows, confusion, and inbound confirmation calls
Alternate delivery for email-heavy communicationSendGrid sequence and fallback logicKeeps treatment, financing, and records communication from stalling in one channel
Waitlist and schedule-hole fillRules engine with patient-fit filters and staged outreachTurns cancellations into recoverable production faster
Treatment follow-upTimed workflow with Elliot-drafted messages and review rulesStops diagnosed treatment from aging silently
Recall and reactivationMulti-step email, SMS, and task sequenceProtects patient retention and hygiene production
No-show recovery and balance nudgesScheduled follow-up logic with exception rulesShortens revenue leakage and keeps the schedule cleaner
Key point

The best improvements here are a blend: AI for interpretation and drafting, automation for dependable triggers, channel sequencing, and next-step execution.

Automation Ladder

Reminders Recall Waitlist fill Treatment chase Rules routing Simple Higher leverage

What Can Be Replaced Quickly and Customized

Current workaround or tool Current pain Recommended replacement Estimated build speed
Shared office inbox triage by human sorting Requests age, ownership blurs, and message quality varies Custom Inbox Concierge skill with urgency tagging, summary drafting, and assignment logic 3-5 business days
Patient lookup through repeated screen navigation Staff lose time reconstructing history and context Patient Lens skill with governed access to roster, chart, schedule, balances, and communication history 4-6 business days
Manual reminder and reschedule workflows No-show risk and front-desk burden stay higher than necessary Twilio reminder engine with confirmation, reschedule, and exception rules 3-5 business days
Treatment follow-up spreadsheet or note list Unscheduled care drifts without disciplined pursuit Custom treatment reactivation engine with Elliot-drafted outreach and manager visibility 4-6 business days
Schedule-hole call list Open chair time is recovered too slowly and inconsistently Schedule fill board with eligibility rules, sequence timing, and multi-channel outreach 4-7 business days
Insurance and pre-auth status chasing Answers live in too many places and require repeated chase Coordination cockpit with status, owner, urgency, and Elliot summary support 5-8 business days

Current State vs. Right-Sized SynHy Layer

Current state
Core practice platform
Shared inbox triage
Treatment follow-up list
Manual reminder logic
Patient lookup screen-hopping
Future state
Core platform stays in place
Inbox Concierge skill
Treatment reactivation engine
Twilio and SendGrid outreach layer
Patient Lens and schedule skills

The right first move is usually not to replace the whole practice system. It is to carve away the side workflows forcing the office into manual cleanup.

Recommendation

Keep the core system where it still works. Build the agentic and automation layer around the workflows that are currently leaking time, context, and revenue.

Immediate Moves

  1. Connect the office inbox to an Inbox Concierge skill.
  2. Stand up Twilio appointment confirmations with exception routing.
  3. Create one unscheduled treatment queue with ownership and next action.
  4. Launch Patient Lens for governed patient-context questions.
  5. Automate basic recall and no-show recovery sequences.

Near-Immediate Moves

  1. Introduce Elliot-drafted treatment follow-up through SMS and email.
  2. Build a schedule-fill rules engine for last-minute holes.
  3. Create a daily ops narrative for management.
  4. Group inbox traffic into clean categories the office can actually measure.

Quick Wins Quadrant

Impact Ease Q1 Q2 Q3 Q4 Q1 Inbox skill Q2 Twilio reminders Q3 Patient Lens Q4 No-show recovery

0-30 Days

  • Connect inbox and patient-context skill layer
  • Launch Twilio reminders and confirmation logic
  • Create unscheduled treatment queue and visibility
  • Implement management daily summary

31-60 Days

  • Build treatment follow-up engine
  • Stand up schedule-fill and waitlist logic
  • Add SendGrid fallback and campaign rules
  • Deploy insurance coordination workspace

61-90 Days

  • Refine provider- and visit-type scheduling rules
  • Expand Elliot reporting and ops insight skills
  • Automate recall/reactivation sequences more deeply
  • Decide next carve-out based on measured lift

Roadmap Sequence

0-30 Days Visibility and first skills 31-60 Days Outreach and workflow engines 61-90 Days Refinement and expansion Inbox + patient skills Twilio reminders Treatment engine SendGrid + waitlist Ops skills expansion Recall refinement
Recovered Production

$18K-$34K monthly from stronger treatment pursuit, better schedule fill, and fewer untreated cancellations.

Recovered Office Time

0.75 to 1.25 FTE equivalent from reduced inbox re-entry, repeated patient lookups, and manual outreach coordination.

Recovered Communication Speed

Faster patient replies, cleaner reminders, and more dependable outreach through governed Twilio, SendGrid, and Elliot workflows.

Recovered Leadership Visibility

Management decisions move from anecdotal and delayed to visible, explainable, and trackable every day.

Projected Monthly Lift Over the First Six Months

$0 $15K $30K $45K $60K M1 M2 M3 M4 M5 M6 Run Rate

This path shows how lift compounds once inbox triage, treatment pursuit, schedule fill, and patient-context access come out of manual mode.

Financial Read

What This Means in Practical Terms

This is not abstract upside. It is recoverable value tied to work Taylor Dental is already trying to do: pursue treatment, protect tomorrow’s book, answer patients faster, and keep staff from rebuilding the same truth all day.

SynHy Position

Why SynHy Fits This Office

SynHy gives Taylor Dental the discipline and outcome profile of a bigger organization without forcing the office into enterprise-cost bloat, generic software theater, or an endless advisory cycle.

Option 1

Stay In Manual Mode

  • Continue leaking $28K-$52K per month across treatment, schedule, inbox, and follow-up friction
  • Keep the strongest staff carrying hidden coordination burden
  • Accept that patient response quality drifts with workload instead of system support
  • Delay lift while still paying for the current inefficiency every day
Option 2

Start With SynHy

  • Use the 72-hour window to lock priorities, access, governance, and first-release sequence
  • Launch the first workflow layer where financial correction happens fastest
  • Measure lift early, then decide whether to expand into insurance, recall, reporting, or additional office skills
  • Keep the workflow logic inside the business instead of surrendering it to vendor limitations
Start Point 72 Hours

Enough time for SynHy to lock the first intervention sequence and move from diagnosis into a real implementation path.

Recommended First Move Phase 1 Build

Inbox triage, patient insight, schedule protection, and treatment follow-up form the best first proof of value.

Commercial Outcome Fast Payback

The first move is intentionally sized so Taylor Dental can see lift before committing to a broader expansion.

Decision Sequence

72-Hour Intervention Phase 1 Build Measured Lift Expand or Optimize

This is the commercial shape of the engagement: intervene, build, measure, then decide the next carve-out from evidence instead of guesswork.

Final Recommendation

Start with the areas that prove the operating model quickly: inbox triage, patient insight, treatment follow-up, and scheduling rules. Those four areas are enough to show Taylor Dental what practical agentic AI looks like when it is built around reality, governed carefully, and aimed at measurable financial correction.

SynHy isn't expensive. The money Taylor Dental is wasting by not using SynHy is.