Blue Pear Tree
HIPAA-aligned · Vendor-neutral · Built for healthcare decisions

You run the practice. We clear the AI decision.

Independent advising for practices and mid-size healthcare organizations in Nashville and surrounding areas. We say whether AI is justified—even when the answer is no. We do not sell software.

  • Know whether AI is worth the spend before capital is committed
  • Fixed-fee guidance with a clear go-or-no-go
  • Vendor-neutral recommendations—no product pitch
HIPAA-aligned NIST AI RMF Vendor-neutral 1-day response
A smiling physician in a bright, modern clinic
3–5 days Typical Discovery Scan turnaround
$1,800 Starting fixed fee for decision support
0 tools sold No software, commissions, or preferred vendors
1 business day Response time on consultation requests
What we offer

Engagement options

Fixed-fee engagements scoped to the decision your organization needs.

Discovery Scan

Is AI worth exploring?

$1,800 – $2,800

A short diagnostic for practices that need a fast and honest answer.

  • 3–5 business days
  • 1–2 focused conversations
  • Clear go-or-no-go recommendation

You walk away with: a written recommendation and next-step options.

Start with Discovery
Project or Partnership

Implementation when justified

Scoped fixed fee

Support only after a documented business case. Typically $18,000–$48,000.

  • 4–12 weeks for projects
  • Neutral vendor evaluation
  • Monthly advisory from ~$3,500

You walk away with: scoped delivery or ongoing independent advisory.

Discuss a project

Our promise

If AI is not the right answer, we say so in writing. Fees are fixed. We sell no software and take no commission on tools. You pay for clarity—not a product demo.

Book a free fit call
Why Blue Pear Tree

Why healthcare practices choose independent advice

Leaders need a clear AI decision before capital is committed—not another product demonstration.

Vendor-neutral by design

We sell no software, take no commissions, and have no preferred partners. Recommendations rest only on your operational constraints and objectives.

Feasibility before tools

We recommend AI only when the expected benefit outweighs cost, risk, and change effort. When it does not, we say so clearly.

Fixed fees, clear scope

Investment and deliverables are defined before work begins. This structure serves practices and mid-size organizations that need budget predictability.

Fortune-company process-improvement experience
BS · IE · EMBA Biology, engineering, and business
HIPAA · NIST AI RMF Aligned professional standards
Nashville area Middle Tennessee service region
Mission

Our mission

We help healthcare organizations invest in AI only when it is practical, financially justified, and aligned with real operational need—guided by honesty, integrity, and vendor-neutral judgment.

Our method

How we evaluate AI

A simple, high-level path—without giving away proprietary details.

1. Map the work

Understand the workflow, the constraints, and what “better” would mean in measurable terms.

2. Test fitness

Check whether AI is the right lever—or whether a process change, staffing adjustment, or simpler tool fits better.

3. Decide with evidence

Recommend go, no-go, or a staged path so capital is committed only when the case holds.

Published evidence

When the wrong AI costs more than it saves

Independent reporting shows that buying or building the wrong AI capability often produces spend without return. Feasibility first is how organizations avoid that pattern.

Enterprise GenAI pilots

Investment with no measurable P&L

$30–40B invested · 95% no ROI

MIT NANDA’s State of AI in Business 2025 found that despite an estimated $30–40 billion in enterprise generative-AI spend, 95% of pilots delivered no measurable profit-and-loss impact. The typical failure was not the model; it was the selection of use cases that never connected to a real workflow or financial outcome.1

Healthcare automation

Olive AI: promised savings, no lasting ROI

~$900M raised · shut down 2023

Olive sold hospitals an “AI workforce” for revenue-cycle and administrative work, reached a $4 billion valuation, then shut down after hospitals reported inconsistent delivery and weak returns. Rapid scale without a proven savings case left buyers with implementation cost and no durable benefit.2

Clinical decision support

MD Anderson & IBM Watson: spend, no patients treated

$62.1M · 0 patients treated

A University of Texas System audit found MD Anderson spent $62.1 million on an IBM Watson oncology project that never treated a patient. The institution later ended the collaboration. The cost was real; the clinical and financial return was not.3

Sources

  1. Challapally, A., Pease, C., Raskar, R., and Chari, P. The GenAI Divide: State of AI in Business 2025. MIT NANDA. Reported figures of $30–40 billion enterprise investment and 95% of pilots with no measurable P&L impact. Coverage: Forbes (26 Aug 2025) and Legal.io (23 Aug 2025). Report PDF: mlq.ai.
  2. Healthcare Dive, “Health AI startup Olive to shut down” (31 Oct 2023). Olive, once valued at $4 billion after raising nearly $900 million, wound down operations and sold remaining units after failed scale and weak hospital ROI. healthcaredive.com.
  3. Schmidt, C. “M. D. Anderson Breaks With IBM Watson, Raising Questions About Artificial Intelligence in Oncology.” Journal of the National Cancer Institute 109, no. 5 (2017). Also: Mulcahy, N. “Big Data Bust: MD Anderson-Watson Project Dies.” Medscape (22 Feb 2017); The Cancer Letter (17 Feb 2017) on the $62.1 million UT System audit. JNCI.

Figures are summarized from public research and reporting for educational purposes. Individual results vary. Blue Pear Tree is not affiliated with the cited organizations. This section is not legal or investment advice.

Ready to see whether AI is worth it for your organization?

Book a free 15-minute fit call. We focus on your operational challenges—not a product demo.

Book a free fit call
About

Leadership, process, and standards

Independent advising grounded in operational discipline—not product distribution.

Approach to healthcare engagements

Blue Pear Tree is led by a principal advisor with a B.S. in Biology, industrial engineering credentials, and an Executive MBA. Process-improvement work across Fortune companies informs every engagement: map the workflow, measure what matters, then evaluate AI.

We serve independent practices and mid-size healthcare organizations across Nashville and surrounding areas. Fixed-fee work is scoped to the decision required.

Recommendations align with HIPAA expectations and the NIST AI Risk Management Framework. We do not provide legal advice or certification services.

The Decision Framework

From first conversation to a clear plan

Most clients move from a fit call to decision support within three weeks. The process is built for healthcare—not generic AI.

Step 01 · Assess
1

Listen

Document operational challenges, constraints, and priorities. This step typically takes one to three days.

You walk away with: a shared problem statement and decision scope.

Step 02 · Evaluate
2

Test fitness

Map workflows, assess AI suitability, and weigh cost, effort, and risk together.

You walk away with: ranked options and a feasibility view.

Step 03 · Advise
3

Advise with integrity

Deliver clear findings: a prioritized plan when AI fits—or a written no-go when it does not.

You walk away with: a defined recommendation and next steps.

Book a free fit call
FAQ

Common questions

Do you sell AI software or represent vendors?

No. Blue Pear Tree is vendor-neutral. We do not sell software, accept referral fees, or promote preferred tools. Our role is strictly independent advisory work.

Who is a good fit?

Independent practices and mid-size healthcare organizations in Nashville and surrounding areas that need a clear decision on AI before investment—especially for documentation burden, prior authorization, staffing, or workflow efficiency.

What does a first engagement cost?

Discovery Scan: $1,800–$2,800. Root Assessment: $5,000–$9,500. Projects are scoped on a fixed-fee basis (typically $18,000–$48,000). All fees are confirmed in writing before work begins.

What if AI is not the right answer?

We state the recommendation clearly. In some cases, a process change or a simpler tool is the better path. You still receive a defined recommendation and next steps.

How fast can we start?

After an initial consultation, Discovery Scans are typically completed in three to five business days. Root Assessments are generally completed within one to three weeks.

Why evaluate before buying a tool?

Published cases show that the cost of a poor fit can exceed any promised savings—from enterprise GenAI pilots with no P&L impact to healthcare projects that spent tens of millions without treating a patient. An independent feasibility review is designed to prevent that spend. See published evidence.

What is a free fit call?

A short 15-minute conversation to confirm whether an engagement is useful. There is no product pitch. If we are not the right fit, we will say so.

How do I get in touch?

Use the form below or email info@bluepeartree.com. We respond within one business day.

Book a free fit call

Tell us the operational challenge or decision under consideration. We respond within one business day with a focused discussion—not a product pitch. Most first conversations are a free 15-minute fit call.

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Service area Nashville and surrounding areas
Response time Within one business day
Book a free fit call