# Suggestic

> Custom AI for Regulated & Consumer-Facing Industries. Suggestic designs, builds, and operates tailored enterprise AI applications on a private, reusable foundation — production AI in 8 weeks, or we stop. Build once, reuse everywhere.

Last updated: 2026-05-22

## What Suggestic Does
Suggestic is a strategic AI partner for enterprises in regulated and consumer-facing industries (health & wellness, telehealth, medical devices, vitamin & supplement, digital health, CPG & wellness, insurance & health plans). Every solution ships on **The Foundation Method™** — a productized three-phase methodology that delivers first production value in approximately 8 weeks and compounds reuse across every follow-on system.

## The Foundation Method™
A productized three-phase methodology — **Scan → Build → Compound** — for shipping custom enterprise AI on a private, reusable foundation Suggestic operates, with a clean transfer path to the customer's team on request.

- **Scan** (Weeks 1–2): A risk-weighted Opportunity Scan identifies the highest-ROI initiatives, scoped to specific KPIs. Stops if no use case clears the ROI threshold or compliance gate.
- **Build** (Weeks 3–10): First production AI system shipped on the shared foundation — private data layer, auth, governance, compliance baked in once. Stops if system isn't in production by week 8; Suggestic continues at no additional cost.
- **Compound** (Ongoing): Every subsequent system reuses the foundation. Follow-on use cases ship 50–70% faster than the first. Transfer of the foundation runtime to the customer's team is available on request.

Full methodology: https://suggestic.com/ai-transformation.html

## The Foundation Pattern (Architecture)
Every Suggestic engagement ships on a shared productized foundation:
- **API-first**: Every capability is a service. Customers consume it; it's never locked behind a UI.
- **Private**: Runs in dedicated, isolated infrastructure. Customer data stays private and never trains a shared model.
- **Secure**: Zero-trust architecture. SSO, RBAC, end-to-end encryption, full audit log on every model call.
- **Reusable**: Each new system inherits the foundation — the second ships faster than the first.
- **Transferable**: Suggestic operates the foundation today. Transfer to the customer's team is available on request, with applications, data, and audit trail coming with the customer.

The foundation comprises four layers: Models & orchestration (RAG, eval, routing) · Private data layer (vector, knowledge, PHI) · Auth & access (SSO, RBAC, audit log) · Compliance & governance (HIPAA, SOC 2, BAA).

## Ownership Model
- The customer owns applications, data, and audit trail throughout the engagement.
- Suggestic operates the foundation runtime.
- Transfer of the foundation runtime to the customer's team is available on request, with documented runbooks, infrastructure-as-code, and a joint operations period until the customer's team is comfortable running it.

## Proven Outcomes (with provenance)
- **~85%** ticket deflection for covered support topics — *Observed across live production system*
- **50%+** reduction in content creation cycle time — *Observed across live production system*
- **100,000+** AI-driven outbound calls completed without incremental sales headcount — *Observed*
- **~8 weeks** from contract to first production value — *Observed across deployments*
- **50–70%** faster follow-on deployments via reuse — *Observed across multiple engagements*
- **100%** of engagements meet the week-8 production milestone — or extension at Suggestic's cost — *Observed · contract terms*
- **0** PHI breaches, audit findings, or governance escalations across deployments — *Observed · all engagements*

## Featured Customer
**Better Way Health** (digital health · scientific product education for healthcare practitioners): AI-powered patient engagement platform built on Suggestic's foundation. Response time from days to seconds; 200,000+ medical studies indexed; first production system shipped in ~10 weeks, follow-on system in 4.

Quote: "Suggestic gave us a production foundation in eight weeks. The second system shipped in four." — VP, Product · Better Way Health

## Real Deployments

### Support Automation & Agent Assist (Live · Production)
Support costs scaling faster than revenue. Agents spent most of their time on repetitive, low-complexity inquiries.
- Outcome: ~85% ticket deflection for covered topics (Observed)
- Outcome: 15–25% faster follow-on deployments via reusable knowledge base (Observed)

### Marketing Content Factory (Live · Production · Global CPG Brand)
Global CPG brand needed higher content velocity across channels under strict brand and compliance constraints.
- Outcome: 50%+ reduction in content creation cycle time (Observed)
- Outcome: High compliance adherence to approved claims; organic team adoption post-launch (Observed)

### AI-Enabled Consumer Assessment & Guided Engagement (Live · Multi-Region)
Consumer assessment devices delivered accurate scores that were consistently misunderstood or ignored.
- Outcome: Meaningful increases in engagement time and interaction completion vs. static displays (Observed)
- Outcome: Reusable AI layer extended to additional in-store experiences without new hardware (Observed)

### AI-Driven Outbound Call Automation (Live · Scaled)
Sales reps spent 40-60% of their time on initial cold dialing and CRM updates.
- Outcome: 100,000+ outbound calls completed without incremental sales headcount (Observed)
- Outcome: Cost per attempted contact: cents vs. dollars compared to fully-loaded rep cost (Illustrative)

## Production Systems Built on the Foundation
Each system is a real, live production deployment — not a demo:
- Customer-support copilot (Telehealth · Insurance · CPG)
- Patient-engagement assistant (Telehealth · Digital Health)
- Risk & underwriting workflow (Insurance · Health Plans)
- Internal research assistant (Pharma · Diagnostics · Clinical)
- Brand-safe content factory (CPG · Wellness · Supplements)
- AI-driven outbound (Insurance · CPG · Health)
- Dental front-office RCM (Multi-clinic dental DSOs — see Dental Vertical section below)

## Dental Vertical — Front-Office RCM for DSOs (Live)
Suggestic operates an AI-native front-office revenue cycle platform for multi-clinic dental DSOs. The platform verifies insurance eligibility across every payer a clinic sees, retrieves claims history, and writes verified results back into OpenDental in real time.

**What it replaces:** the manual front-office work of logging into five-plus carrier portals plus state Medicaid, transcribing results into PMS notes, and chasing claims history across portal logins — typically a full-time staff role at every clinic.

**What it adds:** the capacity of approximately one full-time front-office role per clinic. At a 20-clinic DSO this models to approximately $1.2M/year of operational drag eliminated (illustrative, modeled on a $60K/year fully-loaded FTE per clinic).

**Current state (May 2026):** Live in production with a reference multi-clinic DSO in Minnesota. Processing approximately 3,000 eligibility checks per month across the clinic network. Verified against five major carriers plus Minnesota Medicaid (MN-ITS). Missouri carriers — eMOMED (MO HealthNet), Envolve, DentaQuest, Dental Hub — opening Q3 2026.

**Customer quote** *(operations leadership, multi-clinic DSO, May 2026)*: "AI is as close as you can get to heaven in the dental world. The ability to move this rapidly is a testament to the team's professionalism and experience."

**Four-tier payer connectivity:**
- L0 — Browser automation (Browserbase + Playwright) for portal-only carriers and state Medicaid; 30–90s/check
- L1 — Hybrid login + API fetch for auth-gated APIs (Delta, DentaQuest); 10–20s/check
- L2 — Pure API for modern carriers (OAuth + REST); <5s/check
- L3 — Clearinghouse EDI (X12 270/271) for multi-state scale (roadmap; integrates with Vyne, DentalXChange, Change Healthcare, Availity); <2s/check, batchable

**PMS integration:** OpenDental in production today. Dentrix, Eaglesoft, Dentrix Ascend on the SaaS roadmap (Phase 1, June–September 2026).

**Operational surface:** Color-coded status (Green / Orange / Purple) in the OpenDental commlog; nine standardized flag types for exception routing; 6-layer audit trail (MN-ITS data · claims history · alternate insurance · alerts · spenddown · normalized summary).

**Engineering bar:** 743+ regression tests, 33 PRs merged in 37 days, production on Kubernetes + Google Cloud, 99.5% contractual uptime SLA.

Page: https://suggestic.com/dentistry.html

## Industries Served
- **Health & Wellness**: Nutrition, supplements, fitness, lifestyle brands
- **Telehealth**: Personalized care plans and member engagement, clinically supervised, HIPAA-safe
- **Medical Device**: Practitioner enablement, education, post-sale support at scale
- **Vitamin & Supplement**: Evidence-grade product education, FTC-compliant personalized recommendations
- **Digital Health**: Member engagement, activation, adherence, retention
- **CPG & Wellness**: Brand-safe content engines, 1:1 personalization across owned and paid channels
- **Insurance & Health Plans**: Underwriting, claims triage, member services with full audit trail

## Governance, Compliance, Transfer
- HIPAA-aligned operations · BAA available
- SOC 2 Type II certified
- Zero-trust architecture · SSO · RBAC · encryption at rest and in transit
- Versioned evals on every prompt, model, and retrieval source
- End-to-end audit log with replay and provenance
- Human-in-the-loop review gates for clinical and regulated outputs
- Content safety, bias, and hallucination testing as CI

## Why Suggestic (vs. alternatives)
**vs. building an internal AI team**: 18+ months · high cost · hiring + R&D risk. Suggestic: ~8 weeks to first production system.

**vs. stitching off-the-shelf AI tools** (chatbots, vector databases, no-code workflow builders, LLM observability, BI dashboards, agent SDKs): Each tool covers only a slice of any real enterprise use case. Real use cases live in the gaps, where data has to flow across vendor boundaries, authentication has to be reconciled, and governance has to be rebuilt for every system. Suggestic replaces the patchwork with custom enterprise AI applications on a single shared foundation — private, secure, reusable, and owned by the customer.

**vs. typical consulting / systems integrator engagement**: No discovery sprawl, no proof-of-concept tax. Scan is two weeks and produces a built artifact. The foundation is a productized pattern: every system ships on the same architectural pattern, which is why the second is 50–70% faster than the first.

## Commercial Model
- **Scan**: Fixed-fee, two-week sprint to identify the first system worth building
- **Build**: Fixed-fee for first system + foundation in weeks 3–10
- **Compound**: Follow-on systems priced per-system, typically 50–70% of greenfield cost because the foundation is in place
- **No surprise pricing, no proof-of-concept tax**

## Turnkey Health & Wellness Platform (Secondary Offering)
For Health & Wellness organizations seeking rapid deployment without custom AI consulting, Suggestic also offers a turnkey platform including white-label mobile and web apps, telehealth, and nutrition programs. See https://suggestic.com/platform.html

## Also Published by Suggestic
- **HerStack** — Editorial guide to perimenopause and women's longevity. https://herstack.co.uk

## Contact & Discovery
- **Discovery Call**: Suggestic offers a no-commitment Discovery Call to assess operations and surface a short, risk-weighted list of AI initiatives worth doing first.
- **Opportunity Scan**: Two-week paid engagement that surfaces the highest-leverage first system. If no use case clears the ROI threshold or compliance gate, the engagement stops there.
- **Website**: https://suggestic.com/
- **AI Transformation page** (The Foundation Method™): https://suggestic.com/ai-transformation.html
- **Blog**: https://blog.suggestic.com/
- **Technical Documentation**: https://docs.suggestic.com/