Zilla for Healthcare Leadership | You can't scale what you can't see.
For CEOs, COOs, and boards of multi-site healthcare organizations preparing to scale on AI

You can't scale what you can't see.

The healthcare organizations winning with AI didn't start with AI. They started with structure. Zilla builds the operational foundation your organization needs to run AI safely across every site, and shows you exactly where it pays off first.

See your organization mapped Explore the Living Map

Book a discovery call. Tell us where you need AI to take your organization. We'll tell you if you're a fit.

We're not the only ones who see this. The independent research says exactly what we do.

80%+

of enterprise AI projects never reach meaningful production.

RAND · 2024

We build the foundation the AI stands on.

42%

of what your organization knows lives in one person's head and nowhere else.

Panopto

We get that knowledge out of people's heads and structure it so the organization owns it.

1.7×

faster revenue growth for AI leaders than the companies still catching up.

BCG · 2025

We get you moving before that gap compounds.

2×

the financial return when the foundation is rebuilt before AI goes in.

McKinsey · 2025

We structure the organization first, so the AI actually returns.

The 80% problem nobody sees

Most operational problems aren't about tools, headcount, or strategy. They're about knowledge.

The kind that lives in people's heads, scattered across drives, or doesn't exist anywhere at all.

/01

The pressure is real

AI is moving fast and other health systems are already acting. You know you need to do something. You just don't know where to start, or what to build first.

/02

The problem is underneath

Most AI investments underperform not because of the technology, but because of what's underneath it. The knowledge that runs your organization lives in your site leaders' and providers' heads and systems that don't talk to each other. You can't build on that and expect real results.

/03

The gap is widening

Those who hesitated on websites, then cloud, then EHR adoption spent years playing catch-up. Operational intelligence compounds faster than all of them combined. The organizations building it now aren't just ahead. They're pulling away.

This is why AI keeps stalling inside good healthcare organizations. You cannot automate what you do not understand.

How Zilla solves it

Not a tool. The operating system your organization runs on.

Zilla is the operational infrastructure your organization runs on, and the foundation that makes AI work at scale. We capture the knowledge trapped in your leadership team, your site directors, your providers, and your processes, and structure it into an intelligence layer every site can use.

Everyone else hands you a roadmap or bolts another tool onto the chaos.
We build the operating system, and deploy AI on top of a foundation that actually holds.
The Living Map

Every organization runs on an operating system. Most just can't see it.

Your organization is more connected than your org chart shows. Zilla makes those connections visible: every process, owner, tool, and dependency across every site, in one queryable model.

Zilla // Living Map · Highline Orthopedic & Sports Medicine Group Mapped Risk
Click any node to inspect

This is your organization, the way it actually runs across every site. Every process, owner, tool, and dependency, in one place you can finally see.

Traceable by design When the system doesn't have the answer, it shows you the gap instead of inventing one. Every answer it does give is traceable to where it came from.

Ask the operating system

Disciplined intelligence that stays honest.

This is the graph RAG agent running on a live operational map. Ask it how the organization works across every site and it answers from the map itself. Every claim traces back to the evidence it came from, and when the map does not hold the answer, it shows you the gap instead of inventing one.

  • Grounded only in your data, never the open internet
  • Every answer traces back to a source on the map
  • Unknowns are flagged as gaps, never faked

Powered by one of the most rigorous evidence engines in the market.

Live demo · pre-loaded with a sample multi-site orthopedic group map. Type a question and watch it reason.

Highline Co-Pilot
Connected to Highline Orthopedic & Sports Medicine Group
Graph RAG
Powered by Zilla
What Zilla surfaces

The gaps that quietly cost you the most.

Every Zilla map produces ranked, evidence-backed gaps with cost, impact, and recommended next steps.

Critical

Clinical standardization impacts 6 critical workflows across your sites

Single point of failure. Protocol consistency across all 15 locations depends on one leader's judgment, with no documented playbook and no succession plan.

$0K/mo Estimated revenue at risk from site variance
High

Provider credentialing has no clear owner

4 SOPs reference it. Recommended: assign role, standardize handoff between Provider Relations, Clinical Operations, and Site Operations.

0 SOPs Reference an unowned process
Moderate

Referral & CRM platform dependency is weak across your referral network

Inconsistent tool usage across sites. Recommended: tool consolidation review and a single source of truth for referral data.

0 gaps Flagged across the referral network
What the engine uncovers

Insights you can trace to the root cause.

Zilla does not hand you a list of opinions. Every insight is a typed judgment, attached to a real coordinate in your organization, backed by evidence, and scored for confidence. Our consultants work to close them. The engine uncovers them.

No judgment without a coordinate. No coordinate without evidence.

Risk

A failure mode read off the structure. Single point of failure, no control, no successor.

Gap

A hole in what the organization knows. Unknown, unverified, or low confidence.

Contradiction

Where sources disagree on how the work actually happens.

Discovery

What we learned that no one had written down anywhere.

Recommendation

The next action, ranked by impact and named to a root cause.

Decision

A fork or conflict that needs a human call from leadership.

Anatomy of a judgment
Raw signal

"Nobody really owns how we standardize care across sites"

Zilla resolves it to a judgment
Risk

Single point of failure

Attached torole.vp_clinical_standards
Impactsprocess.clinical_protocol_approvalkpi.site_performance_variance
Evidence27 corpus references
Confidence0.94
Root cause
  • Evidence

    27 references: VP of Clinical Standards interview, 6 SOPs, 4 process docs.

  • Coordinate

    role.vp_clinical_standards owns 7 processes across 15 sites.

  • Root cause

    No documented playbook or backup for any of the 7.

  • Judgment

    Single point of failure on site-to-site consistency.

How the consultant closes it

Assign and document a successor and playbook for the 7 owned processes, then verify consistency across two pilot sites.

Raw signal

"People tell me different things about who signs off on new clinical protocols"

Zilla resolves it to a judgment
Contradiction

Contested clinical protocol approval authority

Attached toprocess.clinical_protocol_approval
Impactsrole.associate_providerkpi.site_performance_variance
Evidence11 references, 3 sources disagree
Confidence0.78
Root cause
  • Evidence

    11 references across SOP v3, the EHR log, and 2 interviews.

  • Coordinate

    process.clinical_protocol_approval resolves to two named approvers.

  • Root cause

    SOP says the Chief Clinical Officer approves system-wide. Two site medical directors say they sign off locally.

  • Judgment

    Approval authority is contested and unenforced across sites.

How the consultant closes it

Ratify a single approval authority with the board, then rewrite the SOP to match what actually happens.

Raw signal

"We should probably standardize credentialing at some point"

Zilla resolves it to a judgment
Recommendation

Assign an owner to Provider Credentialing

Attached toprocess.provider_credentialing
Impactskpi.provider_retentionrole.vp_provider_relations
Evidence14 corpus references
Confidence0.88
Root cause
  • Evidence

    14 references: 4 SOPs, 3 site tickets, 2 interviews.

  • Coordinate

    process.provider_credentialing has no owner.

  • Root cause

    The Provider Relations to Clinical Operations handoff is undocumented and varies by site.

  • Judgment

    Naming an owner closes the upstream cause of onboarding delay.

How the consultant closes it

Name a permanent owner, document the handoff, and set a time-to-credential checkpoint to confirm the fix holds.

The audit trail

Nothing changes without a record.

Every source we ingest, every gap we close, every SOP we update, and every time someone touches the map is captured, timestamped, and immutable. You can see exactly how the intelligence was built, and prove it.

  • Sources ingested
  • Change log
  • View and access log
  • Gaps closed
  • SOPs updated
  • Graph rebuilds

Immutable by design. Exportable for SOC 2 and HIPAA review.

Zilla // Audit Trail · Highline Orthopedic & Sports Medicine Group Live
Jun 2616:01
View
Map viewed by COOClinical Operations layer
Jun 2615:12
SOP
Clinical standardization playbook v2 documentedOwner: Chief Clinical Officer
Jun 2615:10
Gap
Gap closed: Provider Credentialing owner assigned4 SOPs reconciled
Jun 2614:48
Graph
Operating map rebuilt22 nodes, 37 edges
Jun 2614:32
Ingest
142 documents ingested from Google DriveSOPs, protocols, site playbooks
Jun 2511:45
Access
API key rotatedScoped read-only
Jun 2509:20
Edit
Referral Routing process editedOwner: Chief Growth Officer
Jun 2418:02
Gap
New gap flagged: Referral & CRM platform inconsistent usage3 gaps across referral network
Jun 2417:30
Ingest
Referral & CRM export synced1,204 records
Jun 2310:15
Graph
Dependency addedVP of Clinical Standards to Referral Routing
1,418 events logged Immutable Exportable
Four steps · We do the heavy lifting

From tribal knowledge to an operating system.

01

Extract

Pull the knowledge out of your leadership team's and site directors' heads.

02

Map

Structure how the organization actually runs across every site.

03

Audit

Find the site variance before your board does.

04

Act

Deliver the implementation plan and execute it.

What you get

Four deliverables, built on how your organization actually operates.

/01

A system that knows your organization

Ask it anything about how the organization runs across every site and get a sourced answer, built only on your data. Your leadership team stops fielding the same questions from every site.

/02

SOPs that stay alive

Documented and updated as the organization changes, so nothing breaks when a provider, site leader, or executive leaves.

/03

A running gap assessment

Every risk and site variance, ranked by cost and impact, so your board sees what's about to bite before it does.

The Cleanest AI Roadmap Available

Your AI Implementation Plan

Not a generic roadmap, a sequenced plan that names the root causes we found and exactly where AI goes first, built on how your organization actually operates across every site.

The final deliverable

The AI Implementation Plan.

After we map the organization and close the gaps, we model what your operation looks like at its highest and best optimization across every site. Then we turn that model into a sequenced AI implementation plan, so every build addresses a root cause instead of bolting another one-off agent onto the chaos.

Root-cause builds, not band-aids.

The usual way

Random one-off AI agents

  • Disconnected from how the organization actually runs
  • Redundant, overlapping, and quietly abandoned
  • Breaks the moment the process underneath it changes
  • Spend that never compounds into anything
The Zilla way

Sequenced root-cause builds

  • Each build resolves a mapped root cause
  • Sequenced by leverage and dependency
  • Built on a foundation that holds as you grow
  • Every dollar compounds into your operating system
Your plan, sequenced

We model the optimum, then sequence the builds to reach it. Highest and best leverage first, each one named to the root cause it resolves.

  1. 01

    Standardization Copilot

    Codifies the VP of Clinical Standards' playbook into a copilot every site uses, so consistency never depends on one leader again.

    Resolves role.vp_clinical_standards
    Critical Leverage
  2. 02

    Credentialing Orchestration

    Automates and documents the provider credentialing handoff, removing the ownership gap that touches three teams and delays revenue at every new site.

    Resolves process.provider_credentialing
    High Leverage
  3. 03

    Site Variance Signal Agent

    Flags underperforming or drifting sites before the board sees it in the quarterly numbers, closing the upstream cause the map traced back to credentialing and standardization.

    Resolves kpi.site_performance_variance
    High Leverage
  4. 04

    Approval Guardrail

    Enforces a single, sourced clinical protocol approval path system-wide, ending the contested authority before it costs another site's consistency.

    Resolves process.clinical_protocol_approval
    Medium Leverage

You stop paying for AI pilots that do not compound, and start building the operating system the AI runs on.

Root-cause builds only Sequenced by leverage No redundant agents Spend that compounds
What deploying Zilla solves

The outcomes, in plain language.

  1. 01

    Leadership stops being the bottleneck

    The knowledge that runs the organization lives in a system your whole leadership team can query, not one executive's head.

  2. 02

    Key-leader dependency risk is eliminated

    When a site director or clinical leader leaves, the knowledge stays. The organization is worth more to your board and your investors, not held hostage by its most senior people.

  3. 03

    The organization does more without adding headcount

    Recovered capacity across every site goes straight to the bottom line.

  4. 04

    Errors get caught before they reach the board

    Site variance and compliance gaps are flagged before they become a board-meeting surprise.

  5. 05

    AI gets deployed where it actually pays off

    A sequenced plan built on how your organization runs across every site, not a generic recommendation.

Your system, your data, your keys

Everyone else hosts your organization. Zilla does the opposite.

Everyone else hosts your organization on their servers. You rent access to your own operation. Zilla is the opposite.

Ownership

Your database, your repo, your keys. You own all of it.

Data security

Connected through your own API keys. Reasoned in memory, never stored.

Compliance

Built for HIPAA, SOC 2, and SOC 3, with signed BAAs and PHI access audit logging as part of every deployment, ready for board and investor due diligence.

Isolation

A fully dedicated environment per client. No shared infrastructure.

Built for your organization's structure

Your structure is already mapped. We start there.

Zilla begins with how multi-site, multi-specialty organizations like yours actually work. The referral network, provider credentialing, site variance, and leadership dependencies that exist at your scale, modeled and ready on day one.

You're not starting from a blank canvas. You're starting from a working model and tuning it to your organization.

Zilla // Specialty Library Model 001
Multi-site orthopedic and sports medicine groups, multi-specialty physician organizations, PE-backed healthcare roll-ups, regional health systems, multi-site physical therapy chains, and ambulatory surgery networks, with operational models preloaded.
Referral Network · Credentialing · Site Variance · Roles preloaded
Multi-Site Orthopedic & Sports Medicine Multi-Specialty Physician Groups PE-Backed Healthcare Roll-Ups Regional Health Systems Multi-Site Physical Therapy Chains Ambulatory Surgery Networks Academic Multi-Site Medical Groups Health-Tech Care Platforms
Begin the map

Be the leader who gets AI right,
not the one who explains why it failed again.

Zilla is the operating system your organization runs on, and the center of excellence it scales from.

Every month you wait, the chaos compounds. Start with one conversation.

See your organization mapped

Book a discovery call. Tell us where you need AI to take your organization. We'll tell you if you're a fit.