Scan
A risk-weighted Opportunity Scan identifies the highest-ROI initiatives, scoped to specific KPIs.
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If no real KPI is in scope, we stop here. That’s the point.
Enterprise AI Transformation
The Foundation
Introducing the methodology
The Foundation
Method.™
A productized way to ship custom enterprise AI for regulated and consumer-facing industries — built fast on Suggestic’s secure foundation, with a clean transfer path when you’re ready. Production in 8 weeks. Or we stop.
Build
First production system shipped on the shared foundation — private data layer, auth, governance, compliance baked in once.
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One foundation. Inherited by every system that comes next.
Compound
Every subsequent system reuses the foundation. Follow-on use cases ship 50–70% faster than the first.
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Build once. Reuse everywhere.
Compliant by foundation
- HIPAA
- SOC 2 Type II
- BAA available
Live in production
Suggestic builds production AI systems for Fortune 500 brands, regulated health and wellness leaders, and category-defining digital health platforms — operated under HIPAA, SOC 2 Type II, and BAA, with a clean transfer path when your team is ready.
Serving
Telehealth
Medical Device
Vitamin & Supplement
Digital Health
CPG & Wellness
Insurance & Health Plans
The Foundation Method™ · in detail
Three phases. Stated durations. Specific deliverables.
No discovery sprawl, no proof-of-concept tax, no surprise pricing. Each phase has an exit criterion. If we don’t hit it, the engagement stops.
Scan
Weeks 1–2A focused 2-week sprint to identify the highest-leverage system to ship first — and prove it’s worth building.
What happens
- Workflow audit across 3–5 candidate use cases
- Data, compliance, and integration readiness review
- Foundation architecture sketch + ROI sizing
What you get
- Opportunity Scan deliverable + selected first system
STOPS IF · no use case clears the ROI threshold or compliance gate.
Build
Weeks 3–10Eight weeks to ship the first production system on a foundation engineered for reuse — not a prototype to throw away.
What happens
- Foundation built: data layer, governance, model orchestration
- First system shipped on top, end-to-end
- Audit trail, evals, and ownership transfer in week 8
What you get
- One production AI system + the foundation it runs on
STOPS IF · system isn’t in production by week 8. We keep building, on us.
Compound
OngoingEvery subsequent system reuses the foundation — so the second ships faster than the first, and the fifth faster than the second.
What happens
- Roadmap of next 3–5 systems on the same foundation
- Internal team progressively takes ownership
- Foundation extended only where new systems demand it
What you get
- Follow-on systems shipping in 4–6 weeks each
STOPS IF · you choose. Transfer is available on request — the foundation is built so your team can take it over.
The architecture
One foundation. Every system.
The foundation is the platform layer beneath every AI system we build for you — data, models, governance, controls. New systems don’t start from zero; they snap onto what’s already in production.
System A
System B
System C
System D
Models & orchestration
Private data layer
Auth & access
Compliance & governance
01
API-first
Every capability is a service. Your team consumes it; we don’t lock it behind a UI.
02
Private
Runs in dedicated, isolated infrastructure. Your data stays yours and never trains a shared model.
03
Secure
Zero-trust by default. SSO, RBAC, end-to-end encryption, and a full audit log on every call.
04
Reusable
Each new system inherits the foundation — that’s why the second ships faster than the first.
05
Transferable
We operate the foundation today. When your team is ready, transfer is available on request — applications, data, and audit trail come with you.
What we build on top
The systems your team ships and runs.
A non-exhaustive cross-section of what enterprises are building on the foundation today. Each one is a real system in real production — not a demo.
Customer-support copilot
Resolves tier-1 tickets on policy, billing, and product questions with cited answers from your knowledge base.
Telehealth
Insurance
CPG
Patient-engagement assistant
Personalized outreach, plan adherence, and educational content — clinically reviewed, brand-safe, on guidelines.
Telehealth
Digital Health
Risk & underwriting workflow
Triages applications, surfaces risk signals, and drafts underwriter memos against your policy library.
Insurance
Health Plans
Internal research assistant
Searches across regulated documents, study libraries, and SOPs with full source provenance and access controls.
Pharma
Diagnostics
Clinical
Brand-safe content factory
Drafts product, education, and channel content against your brand guidelines and regulatory claims library.
CPG
Wellness
Supplements
AI-driven outbound
Researches accounts, drafts personalized sequences, and routes high-intent replies to the right rep.
Insurance
CPG
Health
Where we work
Built for regulated and consumer-facing industries.
Six verticals where the foundation pattern compounds fastest — high regulation, deep data, repeated workflows.
01
Telehealth
Personalized care plans and member engagement — clinically supervised, HIPAA-safe.
02
Medical Device
Practitioner enablement, education, and post-sale support at scale across geographies.
03
Vitamin & Supplement
Evidence-grade product education and personalized recommendations within FTC bounds.
04
Digital Health
Member engagement systems that drive activation, adherence, and measurable retention.
05
CPG & Wellness
Brand-safe content engines and 1:1 personalization across owned and paid channels.
06
Insurance & Health Plans
Underwriting, claims triage, and member services with full audit trail and compliance review.
Proof
Outcomes that compound.
Each metric carries its provenance — what we observed across engagements, what was independently measured, and what is illustrative of the foundation pattern at scale.
8wks
Kickoff to first production system, on the foundation.
Measured · engagements to date50–70%
Faster delivery for follow-on systems vs. greenfield, after the foundation is in place.
Measured · same-customer follow-ons100%
Engagements that meet the week-8 production milestone — or extension at our cost.
Observed · contract terms0
PHI breaches, audit findings, or governance escalations across deployments.
Observed · all engagements3–5
Production systems on a single foundation in year one for a typical enterprise customer.
Illustrative · pattern range~40%
Lower TCO than per-system implementations once the second system ships on the foundation.
Illustrative · modelHow we operate
Governance, compliance, transfer.
Three things enterprise customers ask before they buy. Three things we’ve engineered into the foundation from day one — not bolted on at audit time.
Governance
Every model call is observable, auditable, and reviewable. No black boxes in production.
- 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
Compliance
Operating under the controls regulated industries require, with the paper trail to prove it.
- HIPAA-aligned operations and BAA available
- SOC 2 Type II certified
- Zero-trust architecture · SSO · RBAC · encryption at rest and in transit
- Data residency and isolation options for regulated workloads
Transfer
We operate the foundation today. When your team is ready to take it over, the path is clean.
- Applications, data, and audit trail are yours throughout the engagement
- Foundation runtime transfer available on request
- Documented runbooks, IaC, and on-call procedures hand-off ready
- Joint operations period until your team is comfortable running it
Common questions
Frequently asked.
How fast can we go from kickoff to a real production system?
Eight weeks from kickoff to the first production AI system, on a foundation engineered for reuse. The first two weeks (Scan) confirm the use case is worth building; weeks 3–10 (Build) ship it. If we don’t hit production by week 8, we keep building at no additional cost.
What does “production” actually mean here?
Live, integrated with your systems of record, serving real users, and meeting your governance and compliance bar — not a prototype, not a sandbox demo, not a pilot. Audit log on, evals running, on-call coverage in place.
Who owns the AI system and the foundation it runs on?
Your applications, data, and audit trail are yours throughout the engagement. The underlying foundation is operated by Suggestic — engineered for clean transfer to your team on request, with documented runbooks, IaC, and a joint operations period until you’re comfortable running it.
How do you handle PHI, HIPAA, and regulated data?
HIPAA-aligned operations, BAA available, SOC 2 Type II certified. Zero-trust architecture: SSO, RBAC, encryption at rest and in transit, full audit log on every model call. Data residency and isolated infrastructure available for regulated workloads. Your data stays yours and never trains a shared model.
What if we already have an internal AI team or existing models?
Even better — the foundation is API-first by design. We integrate with the models, vector stores, and orchestration you already run. The Foundation Method is about consolidating capability, not replacing your team.
What’s the cost structure?
Fixed-fee Scan in weeks 1–2. Fixed-fee Build for the first system + foundation in weeks 3–10. Compound (follow-on systems) is priced per-system and typically lands at 50–70% of greenfield cost because the foundation is already in place. No surprise pricing, no proof-of-concept tax.
What happens if you can’t ship in 8 weeks?
We keep building, on us, until the system is in production. The Foundation Method exists because most enterprise AI projects miss their dates by months — the commercial promise is what holds us to the engineering discipline.
How is this different from a typical consulting or systems integrator engagement?
Two things. First, we don’t sell discovery or proof-of-concepts as a separate phase — Scan is two weeks and produces a built artifact. Second, the foundation is a productized pattern: every system ships on the same architectural pattern, which is why the second one is 50–70% faster than the first.
Get started
Production AI in 8 weeks. Or we stop.
Start with a 2-week Opportunity Scan. No proof-of-concept tax, no discovery sprawl. We identify the highest-leverage system to ship first — or we tell you the foundation isn’t right for you yet.
- HIPAA
- SOC 2 Type II
- BAA available
- Zero-trust architecture