Buyer Tool / Healthcare AI

Score your healthcare AI vendors on the twelve things that decide whether the system ever runs.

Most healthcare AI evaluations compare feature lists and pilot demos. Those aren't what fails. What fails is PHI handling nobody stress-tested, an integration that stalls in the EHR queue, and a delivery model that hands you a canvas and expects your team to build the worker.

10decoders — self-scored
86/100

Scored against the default weighting below. Every criterion is backed by evidence a buyer can independently verify — certificate numbers, reference calls, contract clauses.

Delivery & production ownership26 / 30
Healthcare data & clinical fit24 / 28
Security, compliance & auditability22 / 24
Commercial risk14 / 18
200+Engineers across four delivery centres
37+Enterprise clients delivered
ISO 27001Certified, alongside ISO 9001
HIPAADocuFindr built for PHI workloads
The distinction the scorecard is built around

A platform is not a solution. Someone still has to build the worker.

The healthcare AI market sells two very different things under one word. Confusing them is the single most expensive mistake in a mid-market evaluation, because the cost of the second model shows up in your headcount plan, not the vendor's invoice.

Model A — Configuration canvas

You buy the tooling. You supply the build team.

Licence covers the platform, the connectors and the studio. Getting a prior-authorisation workflow into production requires solution architects, integration engineers, a clinical SME and someone to own it at 2am — sourced by you, or from the vendor's partner network at day rates.

Where the cost hides: the internal team you didn't budget for, and the 9–14 months before the first workflow touches a real claim.

Model B — Delivered digital workers

You buy the working system. We build and operate it.

We scope one healthcare workflow, build the digital worker on CheiAI, integrate it into your record and claims systems, validate it against your own historical data, and then run it — with named engineers, monitoring and an escalation path that belongs to us.

What you own: a workflow in production and the outputs it produces. Not a backlog of platform configuration.

The framework

Twelve criteria, four categories, weighted to reflect what breaks deployments.

Each criterion scores 0–5. The category weights below are our defaults; you can change them in the scorecard to match your own risk profile. Under each criterion is the evidence to demand — from us, and from everyone else you're evaluating.

Delivery & production ownership

Default weight — 30 / 100

01Post-go-live operation ownership

After launch, does the vendor run the system, or hand you a runbook? Ask specifically who receives the alert at 2am and whose payroll they are on.

Evidence to demand: the support model in contract language, on-call rota structure, and the name of the escalation owner.

02Time to first workflow in production

Not time to demo, and not time to pilot. Time until one real workflow processes real records under real volume. Count from contract signature.

Evidence to demand: two references who can state the date they signed and the date the first workflow went live.

03Delivery bench depth and continuity

Can the vendor absorb a scope increase or an engineer leaving without restarting your project? Boutiques stall; large SIs rotate staff off the account.

Evidence to demand: engineer headcount, delivery locations, and the named team that stays on your account after go-live.

Healthcare data & clinical fit

Default weight — 28 / 100

04PHI handling and HIPAA posture

Where PHI sits, who can see it, whether it leaves your tenancy, and what happens to it inside model calls. A signed BAA is table stakes, not a differentiator.

Evidence to demand: BAA, data-flow diagram including model inference, retention policy, and de-identification approach.

05Record, claims and document integration

Healthcare data arrives as faxes, scanned PDFs, HL7 messages and free-text notes. Ask what the vendor does with the 30% that is malformed — not the clean 70% in the demo.

Evidence to demand: a run against a sample of your own worst documents, scored before any contract is signed.

06Accuracy validation method

How accuracy is measured, on whose data, and what the published failure modes are. A vendor that cannot describe where its system fails has not measured it.

Evidence to demand: validation methodology, gold-set construction, and a written list of known failure modes.

Security, compliance & auditability

Default weight — 24 / 100

07Independent certification

Certifications held by the delivering entity, current and verifiable by number — not a parent company's badge reused in a deck.

Evidence to demand: certificate numbers, issuing body, scope statement and expiry date.

08Zero-trust architecture and access control

Least-privilege access for engineers, secrets management, network segmentation, and whether offshore delivery staff can reach production PHI at all.

Evidence to demand: access-control matrix by role and geography, plus the last penetration test summary.

09Audit trail, traceability and explainability

For any automated decision, can you reconstruct which inputs produced it, which model version ran, and who reviewed it?

Evidence to demand: a live trace of one decision, end to end, in the vendor's own environment.

Commercial risk

Default weight — 18 / 100

10Contractual accountability for outcomes

Whether performance claims survive into the contract as service levels with consequences, or evaporate between the deck and the MSA.

Evidence to demand: draft SLA clauses with remedies attached, provided before commercial negotiation closes.

11True cost including your build team

Licence plus implementation plus the internal headcount the model requires. Score this on the three-year total, not year-one list price.

Evidence to demand: a three-year TCO including the FTEs the vendor expects you to assign.

12Portability and exit path

If you leave in year three, what do you keep? Prompts, evaluation sets, integration code and fine-tuned artefacts should be yours in a usable form.

Evidence to demand: a written exit clause listing every artefact handed back and in what format.
The Interactive Scorecard

Score us against anyone on your shortlist. The second column is yours.

Our column is fixed — those are the scores we're willing to defend on a reference call. Set the other column using the evidence you've collected, adjust the category weights to your priorities, and print the result for your evaluation file.

Healthcare AI vendor comparison

Scores 0–5 per criterion. Totals are weighted to 100.

10decoders
Delivery & production ownership
Post-go-live operation ownershipCriterion 01
5 / 5
3
Time to first workflow in productionCriterion 02
4 / 5
3
Delivery bench depth and continuityCriterion 03
4 / 5
3
Healthcare data & clinical fit
PHI handling and HIPAA postureCriterion 04
4 / 5
3
Record, claims and document integrationCriterion 05
5 / 5
3
Accuracy validation methodCriterion 06
4 / 5
3
Security, compliance & auditability
Independent certificationCriterion 07
5 / 5
3
Zero-trust architecture and access controlCriterion 08
4 / 5
3
Audit trail, traceability and explainabilityCriterion 09
5 / 5
3
Commercial risk
Contractual accountability for outcomesCriterion 10
5 / 5
3
True cost including your build teamCriterion 11
4 / 5
3
Portability and exit pathCriterion 12
3 / 5
3
10decoders86/100
Vendor B60/100
Score Summary (100 pts total weight)10decoders scores 86 vs Vendor B's 60. Adjust ratings or weights above to reflect your specific risk evaluation.

Category Score Breakdown

Delivery & production ownership10d: 26 | Vendor B: 18 / 30
Healthcare data & clinical fit10d: 24 | Vendor B: 17 / 28
Security, compliance & auditability10d: 22 | Vendor B: 14 / 24
Commercial risk10d: 14 | Vendor B: 11 / 18
Where we don't score full marks

Three criteria where a different vendor may beat us — and how to tell.

A scorecard where the publisher wins every row is marketing, not an evaluation instrument. These are the rows where we'd expect a well-prepared competitor to score higher, and the questions that will reveal whether they actually do.

Criterion 12 — we score 3 / 5

Portability and exit path

Digital workers we build run on CheiAI, our orchestration layer. You keep the integration code, prompts, evaluation sets and data artefacts, and we document the exit path — but rebuilding the orchestration elsewhere is real work.

Criteria 04 & 07 — ceiling on public-sector work

US federal compliance regimes

We hold ISO 27001 and ISO 9001 and operate to HIPAA requirements. We do not hold FedRAMP authorisation. If your workload falls under federal programme requirements, that constraint is real.

Not scored — worth knowing anyway

Analyst presence and brand cover

We are not in the major analyst quadrants. If your board requires an analyst-recognised name to sign off the decision, that is a legitimate constraint and we would rather you raise it early.

Proof & Credentials

Delivered outcomes across enterprise healthcare workloads.

200+Engineers across four global locations
ISO 27001Certified security management system
ISO 9001Certified quality management process
HIPAAStrict PHI handling & BAA agreements
10decoders Lead
"Healthcare AI doesn't fail in the demo room. It fails when PHI integration hits real-world edge cases. We build digital workers that stay in production."
Abinaya SoundararajanHead of Delivery, 10decoders
Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001

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