Zilla for Health-Tech Leadership | You can't scale what you can't see.
For CEOs, COOs, and CTOs of health-tech companies serving healthcare, preparing to scale on AI

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

The health-tech companies winning with AI didn't start with AI. They started with structure. Zilla builds the operational foundation your company needs to run AI safely, and shows you exactly where it pays off first.

See your company mapped Explore the Living Map

Book a discovery call. Tell us where you need AI to take your company. 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 company 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 company 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 company 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-tech companies 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 company lives in your engineers' and support leads' 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 AI adoption spent years playing catch-up. Operational intelligence compounds faster than all of them combined. The companies building it now aren't just ahead. They're pulling away.

This is why AI keeps stalling inside good health-tech companies. You cannot automate what you do not understand.

How Zilla solves it

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

Zilla is the operational infrastructure your company runs on, and the foundation that makes AI work at scale. We capture the knowledge trapped in your engineers, your support team, and your processes, and structure it into an intelligence layer your entire company 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 company runs on an operating system. Most just can't see it.

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

Zilla // Living Map · Vesta Care Systems Mapped Risk
Click any node to inspect

This is your company, the way it actually runs. 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 company works 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 health-tech platform map. Type a question and watch it reason.

Vesta Co-Pilot
Connected to Vesta Care Systems
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

Security & Compliance knowledge impacts 6 critical workflows

Single point of failure. Six critical platform and compliance workflows depend on playbooks that exist only in the Head of Security & Compliance's head, with no documented succession plan.

$0K/mo Estimated ARR at risk
High

Customer onboarding has no clear owner

4 SOPs reference it. Recommended: assign role, standardize handoff between Implementation, Product, and Customer Success.

0 SOPs Reference an unowned process
Moderate

Sales CRM dependency is weak across growth operations

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

0 gaps Flagged across growth ops
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 company, 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 company 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 but our Head of Security really knows how our compliance controls hang together"

Zilla resolves it to a judgment
Risk

Single point of failure

Attached torole.head_security_compliance
Impactsprocess.compliance_reviewkpi.net_revenue_retention
Evidence27 corpus references
Confidence0.94
Root cause
  • Evidence

    27 references: Head of Security interview, 6 SOPs, 4 process docs.

  • Coordinate

    role.head_security_compliance owns 7 processes.

  • Root cause

    No documented successor or backup for any of the 7.

  • Judgment

    Single point of failure on platform trust.

How the consultant closes it

Assign and document a successor for the 7 owned processes, then verify coverage in a live audit cycle.

Raw signal

"People tell me different things about who signs off on a feature release"

Zilla resolves it to a judgment
Contradiction

Contested feature-release approval authority

Attached toprocess.feature_release_approval
Impactsrole.support_engineerkpi.customer_churn_rate
Evidence11 references, 3 sources disagree
Confidence0.78
Root cause
  • Evidence

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

  • Coordinate

    process.feature_release_approval resolves to two named approvers.

  • Root cause

    SOP says the VP of Engineering approves every release. Product says they ship minor releases without sign-off.

  • Judgment

    Approval authority is contested and unenforced.

How the consultant closes it

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

Raw signal

"We should probably fix onboarding at some point"

Zilla resolves it to a judgment
Recommendation

Assign an owner to Customer Onboarding

Attached toprocess.customer_onboarding
Impactskpi.net_revenue_retentionrole.vp_customer_success
Evidence14 corpus references
Confidence0.88
Root cause
  • Evidence

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

  • Coordinate

    process.customer_onboarding has no owner.

  • Root cause

    The Implementation to Customer Success handoff is undocumented and quietly drops.

  • Judgment

    Naming an owner closes the upstream cause of churn.

How the consultant closes it

Name a permanent owner, document the handoff, and set a time-to-value 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 · Vesta Care Systems Live
Jun 2616:01
View
Map viewed by COOProduct layer
Jun 2615:12
SOP
Compliance playbook v2 documentedOwner: Head of Security & Compliance
Jun 2615:10
Gap
Gap closed: Customer Onboarding owner assigned4 SOPs reconciled
Jun 2614:48
Graph
Operating map rebuilt22 nodes, 37 edges
Jun 2614:32
Ingest
142 documents ingested from Google DriveSOPs, playbooks, pricing
Jun 2511:45
Access
API key rotatedScoped read-only
Jun 2509:20
Edit
Feature Request Routing process editedOwner: VP of Product
Jun 2418:02
Gap
New gap flagged: Sales CRM inconsistent usage3 gaps across growth ops
Jun 2417:30
Ingest
Sales CRM export synced1,204 records
Jun 2310:15
Graph
Dependency addedHead of Security to Feature Request 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 engineering, support, and compliance teams' heads.

02

Map

Structure how the company actually runs.

03

Audit

Find the gaps before your next audit or renewal does.

04

Act

Deliver the implementation plan and execute it.

What you get

Four deliverables, built on how your company actually operates.

/01

A system that knows your company

Ask it anything about how the company runs and get a sourced answer, built only on your data. Your team stops asking you the same questions.

/02

SOPs that stay alive

Documented and updated as the company changes, so nothing breaks when an engineer or support lead leaves.

/03

A running gap assessment

Every risk and broken process, ranked by cost and impact, so you see what's about to bite before your next audit.

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 company actually operates.

The final deliverable

The AI Implementation Plan.

After we map the company and close the gaps, we model what your operation looks like at its highest and best optimization. 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 company 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

    Compliance Copilot

    Codifies the Head of Security & Compliance's playbook into a copilot the whole team uses, so platform trust never depends on one person again.

    Resolves role.head_security_compliance
    Critical Leverage
  2. 02

    Onboarding Orchestration

    Automates and documents the customer onboarding handoff, removing the ownership gap that currently touches three teams and slows time-to-value.

    Resolves process.customer_onboarding
    High Leverage
  3. 03

    Retention Signal Agent

    Flags at-risk accounts before they churn, closing the upstream cause the map traced back to onboarding.

    Resolves kpi.net_revenue_retention
    High Leverage
  4. 04

    Approval Guardrail

    Enforces a single, sourced feature-release approval path, ending the contested authority before it costs another customer's trust.

    Resolves process.feature_release_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 company lives in a system the whole team can query, not one engineer's head.

  2. 02

    Key-person risk is eliminated

    When an engineer or support lead leaves, the knowledge stays. The company is worth more to your investors and your auditors, not held hostage by its most senior people.

  3. 03

    The company does more without adding headcount

    Recovered capacity goes straight to the bottom line.

  4. 04

    Errors get caught before they reach the customer

    Gaps are flagged before they become fires.

  5. 05

    AI gets deployed where it actually pays off

    A sequenced plan built on how your company runs, not a generic recommendation.

Your system, your data, your keys

Everyone else hosts your company. Zilla does the opposite.

Everyone else hosts your company 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 enterprise procurement and investor due diligence.

Isolation

A fully dedicated environment per client. No shared infrastructure.

Built for health-tech operators

Your category is already mapped. We start there.

Zilla begins with how health-tech platforms actually work. The engineering, support, compliance, and growth 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 company.

Zilla // Category Library Model 001
EMR and practice-management platforms, patient engagement software, revenue cycle management platforms, clinical AI and documentation tools, care coordination platforms, telehealth infrastructure, health-tech marketplaces, and compliance and security platforms, with operational models preloaded.
Engineering · Support · Compliance · Growth Dependencies preloaded
EMR & Practice Management Patient Engagement Software RCM & Billing Platforms Clinical AI & Documentation Tools Care Coordination Platforms Telehealth Infrastructure Health-Tech Marketplaces Compliance & Security 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 company runs on, and the center of excellence it scales from.

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

See your company mapped

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