Suki or DAX — worth $4,400/year per clinician?
Two ambient AI scribes dominate the conversation in 2026 — and their sales teams would very much like you to think they both work for everyone. They don’t.
At $369–$399 per provider per month, you’re looking at a $4,400–$4,800 annual commitment per clinician before you’ve seen a single note. Get it wrong and you’re locked into a 12-month contract with a tool that generates notes your referring colleagues describe as “complete garbage.” That’s not a vendor talking point — that’s a direct quote from r/medicine.
Suki is the stronger choice for independent practices and clinicians on non-Epic EHRs. DAX Copilot earns its place in large hospital systems already deep in the Epic ecosystem — but only if that system is paying, not you. Neither tool is good enough to sign without a trial.
The rest of this article breaks down why — with pricing, EHR fit, accuracy data, and what physicians are actually saying.
Pricing: What You’ll Actually Pay
Both tools land in the same rough price range, but the structure is different enough to matter.
Suki AI runs approximately $399/provider/month (per TrustRadius and Twofold Health). No multi-user setup fees reported in published pricing.
DAX Copilot lists at $369/provider/month (trydax.com, March 2026) — but that number hides meaningful add-ons: a $650 first-user setup fee plus $250 for each additional user, with a 12-month minimum contract.
| Suki AI | DAX Copilot | |
|---|---|---|
| Monthly per provider | ~$399 | $369 |
| Setup fees | Not publicly listed | $650 (first user) + $250/additional |
| Contract minimum | Not publicly listed | 12 months |
| Annual cost (5 physicians) | ~$23,940 | ~$22,140 + ~$1,900 in setup fees |
For a 5-physician practice, you’re looking at roughly $24,000 per year for either option. The DAX setup fees close most of the sticker-price gap.
The r/FamilyMedicine reaction to this pricing structure is instructive: “It’s great, but not any better than FreedAI which I used for $99/month. I absolutely wouldn’t pay $500 a month.”
That quote captures the core problem. The performance gap between a $99/month AI scribe and a $400/month enterprise scribe is real — but it’s not always $300/month real. For a solo practice writing a check themselves rather than routing through a hospital procurement department, that math is hard to ignore.
Microsoft’s pricing architecture for DAX wasn’t designed for independent physicians. It was designed for hospital CFOs comparing line items on a seven-figure Microsoft enterprise deal. That’s not an insult — it’s just context. A structure built for one customer type rarely serves another customer type well.
EHR Integrations: Where Each Tool Actually Works
This is the single most important factor in the decision for most clinicians, and it’s the one most often glossed over in comparison articles.
Suki has native integrations with:
- Epic
- Oracle Health (Cerner)
- athenahealth
- MEDITECH
DAX Copilot has best-in-class performance on Epic, driven by the Microsoft-Epic strategic partnership. For other EHRs, DAX offers SDK support — but “SDK support” is not the same as native integration. It works, but the workflow friction shows.
The practical implication is direct: if your EHR is athenahealth, Cerner, or MEDITECH, Suki is the native choice. DAX will feel bolted on.
The DAX-Epic partnership is genuinely impressive inside large hospital systems. Order suggestions, embedded workflows, the depth of integration — these are real advantages when Epic is your environment and the institution is managing the relationship. But that’s a hospital feature, not a reason for an independent internist on athenahealth to pay enterprise software prices for an integration that wasn’t built with their system in mind.
If you’re comparing these tools and your EHR isn’t Epic, the integration question largely answers itself.
Accuracy and What Physicians Actually Experience
Both vendors publish documentation reduction numbers. Both numbers require scrutiny.
A 2025 JMIR study (doi: 10.2196/64993) found that 70% of AI scribe notes contained at least one error, with a mean of 2.9 errors per note. That’s not a DAX problem or a Suki problem — it’s an industry-wide finding that vendor marketing consistently buries.
Against that baseline, here’s what the published data shows:
Suki claims 72% faster note completion and holds a 93.2/100 KLAS score (a validated third-party benchmark). McLeod Health reported a 41% reduction in documentation time in KLAS-validated results.
DAX Copilot claims 40–60% documentation time reduction — a vendor-provided range, not a validated third-party number.
What physicians report on the ground is more textured than either vendor’s claim.
On the DAX side, the criticism is specific and consistent:
- “The notes that I get from referring providers that are written by DAX are complete garbage.” (r/medicine)
- “DAX is okay for simple visits but anything complex it tends to hallucinate or misplace details for AWVs.” (r/healthIT)
- “DAX tends to output very simple A&Ps like ‘Chest pain: check labs’, which is obviously over simplified.” (r/medicine)
The positive DAX experiences are also real: “I absolutely love it. It probably takes an hour and a half off my day.” (r/FamilyMedicine)
For Suki, physician reports trend more positive on complex documentation: “Consistently solid note quality, even for complex cases.” (r/InternalMedicine)
The pattern that emerges from community discussion: DAX performs well on routine, simple encounters and degrades on complex ones. Suki shows more consistent quality across visit complexity. Neither result is surprising given their target markets — DAX was built for high-volume hospital settings where most encounters are routine; Suki was built for independent practices that often see more complex, mixed-acuity populations.
The JMIR error rate should inform how you implement either tool. These are drafts, not final notes. Build review time into your workflow — not as an optional step but as a clinical obligation.
Who Each Tool Is Actually Built For
The product architecture tells you everything you need to know about intended customer.
DAX Copilot is built for hospital systems. The 12-month contract minimum, implementation fees per user, Microsoft enterprise pricing, and Epic-first integration all signal a product designed to be sold through hospital procurement channels. The ROI math works when your institution is absorbing the cost and managing the deployment.
For independent or mid-sized practices, the cost structure creates a value problem before you even evaluate the notes. A solo practice on DAX is committing $5,000+ before seeing a single return. That’s not a hostile structure — it’s just a structure that wasn’t designed for them.
Suki is built for independent and mid-sized practices. It deploys in weeks with minimal IT support, integrates natively across four major EHRs, and doesn’t require an enterprise negotiation to get started. The product was designed for the clinician signing their own check.
Both tools have documented limitations with complex subspecialties. Psychiatry, oncology, and procedural notes consistently surface in community discussions as weak points for ambient AI scribes generally — if you’re in one of these specialties, budget 15–20 minutes of note review regardless of which tool you choose.
For nurse practitioners and mid-level providers evaluating either tool, the EHR fit question is the same, but workflow integration varies — see our coverage of AI scribe options for nurse practitioners for a deeper look at how these tools perform outside the physician context.
What We’d Actually Recommend
The answer is less complicated than vendor marketing wants it to be.
Epic hospital system, institution paying the bill: DAX Copilot. The Microsoft-Epic integration is legitimately deep, the order suggestion features are meaningful, and when your hospital has already negotiated the enterprise contract, the cost structure no longer works against you.
Independent practice, non-Epic EHR, or paying yourself: Suki. The native EHR integrations, better KLAS scores, and pricing structure designed for independent deployment all point here. The community evidence on note quality for complex cases tilts the same direction.
Complex subspecialty (psychiatry, oncology, procedural): Build note review into your schedule regardless of which tool you pick. No ambient AI scribe in 2026 handles these consistently enough to skip the audit step.
The trial question is not optional. There is no responsible way to sign a 12-month contract for either product without running it on your actual patients in your actual EHR. The community evidence for skipping that step is direct: “FYI…as a patient whose doctor has used it, I think DAX sucks. It got everything wrong.” (r/emergencymedicine) — a patient whose physician apparently went live without adequate trialing.
Both tools will save you time. Neither will save you from reviewing the notes before you sign them — and anyone who tells you otherwise is selling something.
For a broader comparison of AI documentation tools beyond these two, see our guide to the best AI medical scribes for doctors. And if your practice is evaluating the full documentation stack, AI medical coding software integrations are worth considering alongside your scribe decision — the two workflows increasingly overlap.
Frequently Asked Questions
How much does Suki AI cost vs DAX Copilot per month?
Suki AI runs approximately $399/provider/month. DAX Copilot lists at $369/provider/month but adds a $650 setup fee for the first user and $250 for each additional user, with a 12-month minimum contract. For a 5-physician practice, both land near $24,000 annually once setup costs are included.
Which EHR systems does Suki AI integrate with?
Suki has native integrations with Epic, Oracle Health (Cerner), athenahealth, and MEDITECH. These are full native integrations, not third-party SDK workarounds.
Does DAX Copilot work with EHRs other than Epic?
DAX offers SDK-based support for non-Epic EHRs, but the integration is not native. The product is built and optimized for the Epic ecosystem, and the difference in workflow integration is noticeable when deployed on other systems.
Is DAX Copilot accurate enough to trust for clinical documentation?
A 2025 JMIR study (doi: 10.2196/64993) found 70% of AI scribe notes across the industry contained at least one error, with a mean of 2.9 errors per note. DAX performs adequately on routine encounters but has documented weaknesses on complex visits — community reports cite oversimplified A&Ps and hallucinated details on AWVs. Treat output as a draft, not a final note.
Which AI scribe is better for independent physicians vs large hospital systems?
For large hospital systems on Epic with institutional pricing: DAX Copilot. For independent practices, non-Epic EHRs, or clinicians paying themselves: Suki. The pricing structures and product architectures reflect genuinely different target customers.
Which tool reduces documentation time more — Suki or DAX?
Suki reports 72% faster note completion (KLAS score 93.2/100) and a validated 41% documentation time reduction at McLeod Health. DAX claims 40–60% reduction, though this range comes from vendor-reported figures rather than independent validation. Suki’s numbers are third-party validated; DAX’s are not.
Can I try DAX Copilot or Suki before committing?
Both offer trial periods. Use them. Do not sign a 12-month contract for either product without running it on your actual patient population in your actual EHR environment. Community experience with AI scribes deployed without adequate trialing — especially on complex cases — is uniformly negative.
The Decision Isn’t That Hard
If you’re in a large hospital system on Epic and the institution is paying: DAX Copilot is the right call. The integration depth is real.
If you’re running an independent or mid-sized practice, especially on anything other than Epic: Suki gives you native integrations, stronger community-validated note quality, and a product that was actually designed for your situation.
The irony is that both tools are good enough to use and neither is good enough to trust without oversight. The JMIR error data is a system-wide finding, not a product flaw — ambient AI scribes are still producing notes with meaningful error rates. That’s the baseline you’re working from.
Trial both. Review your notes. Make the decision based on your EHR, your specialty complexity, and who’s writing the check — not on which vendor’s sales deck landed in your inbox first.