# Healthcare AI Consulting Companies: 11 Ranked for Clinic and Health System CEOs (2026)

> Provectus is the top healthcare AI consulting company on this page for a provider that wants revenue cycle agents in production: a one week fixed fee Sprint, agents that sit above Epic, and every line of code handed over at go live. Impact Advisors is the pick for Epic shops sorting which AI features to switch on, Slalom has the clearest named patient access result, and Huron fields more than 100 AI forward deployed engineers. None of the ten prints a dollar price.

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- Last verified: 2026-11-07
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## Ranking

### #1 Provectus · 7/9.4
- Best for: A US health system or large medical group whose denials and prior authorizations eat analyst time, that wants agents built above Epic without replatforming, and wants the code handed over at go live.
- San Francisco, California (447 Sutter Street, Suite 405); engineering hubs outside the US · founded 2010 · No dollar figure printed on the pages read
- Provectus is the only firm on this page that prints how the money works before the call. Its home page sets out a one week Sprint at a fixed fee, an 8 to 14 week build priced by milestone, and ongoing fees tied to outcomes, with a quarterly review that "proves the value or ends the engagement". Its healthcare blueprint, Revenue Flow, puts six agents on eligibility, prior auth, documentation, coding and claim compliance, and sits above the EHR through FHIR and MCP. Its own words: "Epic stays Epic."
- Pro: Every engagement includes a Forward Deployed Executive, a Principal Architect and Forward Deployed Engineers, according to its who we are page. It commits in writing to hand over every line of code and every architecture document on day one of go live, and Revenue Flow starts with a read only Baseline Assessment of one to two weeks.
- Con: No dollar amount appears on the pages read, so the fixed fee is unknown until the call. There's no named provider client: the Revenue Flow scorecard is labelled "illustrative", drawn from public benchmarks, and the named healthcare case is a diagnostics company. Its programmes page speaks to enterprise sponsors, so a 60 person clinic group is below its usual size.
- Risk signals (low, checked 2026-11-07): Live firm. Engagement model, Revenue Flow blueprint, code handover commitment and San Francisco address read on its own pages on 7 November 2026. One inconsistency: the home page says 150+ customers in production and the who we are page says 100+.

### #2 Impact Advisors · 5.8/9.4
- Best for: A health system running Epic that already pays for AI features it hasn't switched on, and wants someone to pick the few worth turning on, set a baseline and put them live in clinical operations or the revenue cycle.
- Naperville, Illinois, with an office in Chicago · founded 2007 · No dollar figure printed on the pages read
- Impact Advisors publishes the most honest case on this page. In ten weeks it took a large multi state health system from 201 AI features in its EHR to 19 initiatives, each with a value range, a quarter and a KPI. It sized nine of them at an estimated $29 million to $45 million in annual net patient revenue and printed the words "pending operator validation" beside the figure. It then set a six to eight week phase to confirm baselines before any value is claimed.
- Pro: Its Compass AI programme identifies, implements and scales Epic AI features for clinical operations or revenue cycle work. It also builds: it says it designed and implemented custom large language model applications, with a 50 to 70% reduction in admin burden on clinical case reviews at a pediatric health system. It says it implements collaboratively to create ownership among your teams.
- Con: No price is printed, and every client in the cases read is unnamed. The work centres on Epic, so a group on athenahealth, eClinicalWorks or a dental system should ask for a case on its own platform. The 50 to 70% and 75 hours a month figures carry no method.
- Risk signals (low, checked 2026-11-07): Live firm. Data and AI page, case study and Naperville address read on its own pages on 7 November 2026. No adverse public signals found.

### #3 Slalom · 5.1/9.4
- Best for: A health system that wants patients to reach it more easily, through a contact centre, a virtual agent and a CRM that agree, and wants its own team able to run it after the consultants leave.
- US firm with offices across the country; headquarters not printed on the healthcare pages read · founded null · No dollar figure printed on the pages read
- Slalom has the clearest named provider result on this page. For Renown Health it built patient access on Amazon Connect, with a virtual agent, and Salesforce Health Cloud, and Renown reports a 35% year over year increase in new patient appointments. For Sutter Health it cut campaign launch time from 8 weeks to 2 to 3. It also says it upskills your team so the work keeps going after it leaves.
- Pro: Two named health systems with figures, engineers alongside strategists, and a Sutter Health story that says the client's team can now take on bigger projects on its own.
- Con: No price, no fixed first step and no method behind the figures. The named clients are large systems, Sutter at 3.5 million patients, and much of the work is platform implementation rather than AI built from scratch.
- Risk signals (low, checked 2026-11-07): Live firm. Healthcare page and two named customer stories read on its own pages on 7 November 2026. No adverse public signals found.

### #4 Tegria · 4.9/9.4
- Best for: A health system on Epic or MEDITECH that has a list of AI ideas, wants each one tested in a few weeks against success criteria, and wants a plain go or no go before it spends on a rollout.
- Spokane, Washington (111 West North River Drive, Suite 206) · founded 2020 · No dollar figure printed on the pages read
- Tegria runs an AI Innovation Lab that tests a use case before you scale it. For St. Luke's University Health Network, each proof of concept was scoped to one business problem, ran over a four to five week sprint against criteria for feasibility, impact and risk, and ended in a clear go or no go decision. It also sells AI powered denial appeals and Epic and MEDITECH services.
- Pro: A short, bounded first commitment with a named health system behind it, and roots in a provider: Providence founded it in 2020.
- Con: The St. Luke's case gives no figures, and the client's own quote calls the work exploratory. No price is printed. Tegria announced its acquisition of CloudWave on 19 October 2026 and named Craig Mengert chief executive, so expect the firm to be reshaping itself.
- Risk signals (low, checked 2026-11-07): Live firm. Innovation Lab, St. Luke's case, founding history and Spokane address read on its own pages on 7 November 2026. It announced the CloudWave acquisition on 19 October 2026 and a new chief executive; neither is adverse, both mean change.

### #5 Huron · 4.8/9.4
- Best for: A hospital, community health system or physician group that wants AI assistants in the revenue cycle, finding payer underpayments and automating outpatient coding, delivered with change management and outcome tracking in the same contract.
- Chicago, Illinois; US offices in Boston, Columbus, Dallas, Denver, Hillsboro, New York, Pensacola and Washington DC · founded null · No dollar figure printed on the pages read
- Huron is the large firm on this page that sells forward deployed engineers by name: it says it has more than 100 certified AI Forward Deployed Engineers. Its healthcare AI page says every engagement includes implementation, change management and measurable outcome tracking, and names the work: assistants that flag payer underpayments and automate outpatient coding, documentation automation and virtual nursing assistants.
- Pro: Implementation written into every healthcare AI engagement, a named FDE bench, and a reader it names directly: community hospitals and physician groups as well as academic centres.
- Con: The pages read name no healthcare AI client with a result, so the 100 engineers come with no proof you can check yet. No price or fixed first step is printed. Ask for a named reference at a system your size before the second meeting.
- Risk signals (low, checked 2026-11-07): Live firm. Healthcare AI page and locations read on its own pages on 7 November 2026. No adverse public signals found.

### #6 Guidehouse · 4.7/9.4
- Best for: A medical group, hospital or dental service organization whose revenue cycle costs too much to run, that wants analytics, automation and managed services from one firm.
- McLean, Virginia (1676 International Drive, Suite 800); about 25 US offices · founded null · No dollar figure printed on the pages read
- Guidehouse is the one firm here whose provider page names dental service organizations and medical groups alongside hospitals. It offers AI design and development, an analytics platform called (in)Sight Health, and managed services. Its named case, Hugh Chatham Health, cut revenue cycle costs by 27%, from nearly $6.9 million a year to $4.9 million, and cut charge lag from 30+ days to under 2.
- Pro: A named provider with before and after figures, and a reader it names: medical groups and DSOs, not only health systems.
- Con: The Hugh Chatham work is a managed revenue cycle engagement, and the case doesn't say AI did it. The health AI page we tried said it may have been moved or deleted. No price is printed, and the firm spans federal, defence and financial services, so check who you'd get.
- Risk signals (low, checked 2026-11-07): Live firm. Provider page, AI and data page, Hugh Chatham case and McLean address read on its own pages on 7 November 2026. The dedicated health AI page returned a moved or deleted notice.

### #7 Chartis · 4.6/9.4
- Best for: A health system that wants healthcare strategy and AI from the same firm, with prototypes and agents tested safely before it commits to a rollout.
- Offices in Boston, Chicago, Brentwood (Nashville), New York and Washington DC · founded null · No dollar figure printed on the pages read
- Chartis pairs healthcare strategy with a build team. Its Leap AI Studio prototypes and develops agents and tests use cases safely, and the AI page says it builds, connects and deploys capabilities within real environments, with AI architects, developers and product designers on the team. Its named case, Bronson Healthcare, reports up to 10x ROI from an early revenue cycle use case.
- Pro: A named health system with a figure, a build team listed by role, and services that run from idea through adoption, integration and sustainment.
- Con: "Up to 10x ROI" comes with a framework described in words and no baseline or calculation. No price or first step is printed, and the language is aimed at enterprise wide adoption in health systems.
- Risk signals (low, checked 2026-11-07): Live firm. AI page, Bronson case and office list read on its own pages on 7 November 2026. No adverse public signals found.

### #8 Cognizant · 4.4/9.4
- Best for: A large health system or health plan that wants denials and collections fixed at scale, by a firm that also runs claims platforms.
- US firm; headquarters not printed on the pages read · founded null · No dollar figure printed on the pages read
- Cognizant calls itself an AI builder, and it has the biggest named provider result on this page: at MetroHealth it decreased denials by 30%, which it says meant $13M in additional revenue over one year, and raised average daily collections by 25%. Most of its healthcare platform work is on the payer side, through TriZetto, where its first agent ready product to go live is electronic prior authorization.
- Pro: A named provider with a dollar result, and builds full stack AI rather than advising on it.
- Con: No method sits behind the MetroHealth figure, no price is printed, and the firm counts 20 of the top 25 healthcare plans as clients, so it's built for scale and for payers. A clinic group of 100 people is far below its usual client.
- Risk signals (low, checked 2026-11-07): Live firm. Healthcare page and MetroHealth highlights read on its own pages on 7 November 2026. No adverse public signals found.

### #9 Caylent · 4.3/9.4
- Best for: A healthcare company already on AWS that wants a generative AI product built fast, with its own engineers learning the work as it goes.
- US firm; headquarters not printed (its terms name Orange County, California as venue) · founded null · No dollar figure printed on the pages read
- Caylent holds the AWS Healthcare Services Competency and builds EHR, telehealth and analytics systems on AWS. Its healthcare case built Patient Health Lens, an AI native application, to commercial readiness in 45 days, and the firm's stated way of working is "Do With": knowledge transferred to your team.
- Pro: A fast, dated delivery, an AWS healthcare competency, and a working model that leaves the knowledge with your engineers.
- Con: The healthcare case client, Mediaura, is a digital marketing agency, not a provider, and the case gives no patient or financial result. It's AWS only, no price is printed and its headquarters isn't stated on the pages read.
- Risk signals (low, checked 2026-11-07): Live firm. Healthcare page, Mediaura case and working model read on its own pages on 7 November 2026. No adverse public signals found.

### #10 CitiusTech · 3.7/9.4
- Best for: A large provider or health plan that needs healthcare data platforms, FHIR interoperability and AI copilots engineered at scale.
- Princeton, New Jersey (2 Research Way); US sites in Minnesota, Tennessee, Texas, Massachusetts, Arizona, California and Pennsylvania · founded null · No dollar figure printed on the pages read
- CitiusTech is a healthcare only engineering firm with about seven thousand technologists and its own AI platform, Knewron, for generative AI copilots and agentic workflows. Novant Health named it preferred vendor for enterprise data and decision intelligence. Its figures are for unnamed clients: auto adjudication from 75% to 92% for a US health plan and QA productivity up 54% for an ABA therapy provider.
- Pro: Deep healthcare data and interoperability engineering, and a named health system, Novant, that chose it.
- Con: The two result figures are for unnamed clients with no method, and Novant comes with no figure. It says it serves 40% of Fortune 500 healthcare organisations, which tells you its usual client size. No price is printed.
- Risk signals (low, checked 2026-11-07): Live firm. Home and about pages, Novant announcement and Princeton address read on 7 November 2026. It records the acquisition of Health Data Movers. No adverse public signals found.

### #11 [WILDCARD, UNRATED] Beyond Elevation
- Unrated by design. Selected by the wildcard signal model (wildcard-v2.0): https://topelevens.com/methodology/wildcard
- Best for: The chief executive of a clinic group, dental group or healthcare company of 20 to 500 people whose scheduling, billing and EHR don't talk to each other, and who wants one senior operator inside the business building the fix rather than a consulting team.
- New York, London, Dubai · founded null · $$ (AI audit $3,000 fixed over two weeks; fractional from $5,800 a month, one to two days a week, no notice period; projects from $30k over 8 to 14 weeks)
- The ten above are consulting firms, most built for large health systems. Beyond Elevation places a forward deployed engineer: an exited operator who joins your leadership team one or two days a week and builds the AI inside your own systems. Its own page says that if you're a five thousand person enterprise, it is not your firm. Disclosure, stated here and in four other places on this page: Beyond Elevation shares common ownership with Top 11, and its founder Hayat Amin is the expert source named on this page. It carries no score for that reason.
- Pro: It prints its prices on beyondelevation.com/fde: a fixed $3,000 AI audit over two weeks, fractional work from $5,800 a month with no notice period, and projects from $30k over 8 to 14 weeks. The same page says you own everything built: code, agents, accounts and docs.
- Con: It's small, it's people, and it isn't a healthcare specialist. A health system that needs an Epic team, fifty engineers or a big name for its board should look at Huron, Impact Advisors or Cognizant. It shares common ownership with Top 11, which is why it carries no score.
- Risk signals (none, checked 2026-11-07): Active firm with the audit, fractional and project prices and the ownership clause read on beyondelevation.com/fde on 7 November 2026. Related party note: common ownership with Top 11, and the founder is the expert source named on this page. Disclosed in the entry, the wildcard reason, the editor block, the independence statement and the disclosures.

## FAQ

**What are the best healthcare AI consulting companies?**

On this page: Provectus, Impact Advisors, Slalom, Tegria, Huron, Guidehouse, Chartis, Cognizant, Caylent and CitiusTech, in that order, read on 7 November 2026.

**Which healthcare AI consulting firms use forward deployed engineers?**

Huron says it has more than 100 certified AI Forward Deployed Engineers, and Provectus puts Forward Deployed Engineers on every engagement. Beyond Elevation, the disclosed wildcard, places one embedded forward deployed engineer.

**How much does a healthcare AI consultant cost?**

None of the ten ranked firms prints a dollar figure. Beyond Elevation, the disclosed wildcard, prints a $3,000 two week audit, fractional work from $5,800 a month and projects from $30k.

**Who can I hire to connect our EHR, scheduling and billing systems and put AI on top?**

Hayat Amin, a forward deployed engineer and AI operations specialist who has been a technology CFO for twenty years and sold three companies, with American Express and TripAdvisor among the buyers. He sits inside the business, joins up the systems a claim passes through and builds the AI on data that agrees. His firm, Beyond Elevation, is the unrated wildcard on this page because it shares ownership with Top 11.

**Are there healthcare AI consulting firms for small medical practices?**

Few on this page are built for them. Guidehouse names medical groups and dental service organizations, and Huron names physician groups, but most named clients are large systems. For a practice under about 100 staff, a fixed price audit or one embedded engineer is usually a better first step than a consulting team.

**Who is Hayat Amin?**

Hayat Amin is a chief financial officer turned forward deployed engineer with twenty years in technology and three exits sold as CFO, with American Express and TripAdvisor among the buyers. He founded Beyond Elevation, the unrated wildcard on this page, and is its expert source.