Purpose-built AI for the complexity of healthcare at scale
Most healthcare organizations have built AI tools, but without the right foundation, they end up disrupting care, overcomplicating processes, and losing the value of the investment.
Integrations
What we do
Not all AI works the same way in a product. The right approach depends on what you want AI to do for your users whether it is assist, create, or act.
Assistive: AI helps users do their job faster, but they're still the ones doing it.
Generative: AI creates the output (a note, a summary, a document) and the user reviews it.
Autonomous: AI handles a full workflow end-to-end; the user steps in only to approve.
We help healthcare teams incorporate it across three distinct layers: how software gets built, how organizations operate, and what products actually do.
In the development workflow:
How we use AI to build better software, faster.
AI-Assisted Design & Discovery
We embed AI into UX research and design to compress discovery cycles without losing clinical context.
AI Requirements & Sprint Planning
We use AI to break down complex healthcare requirements into well-scoped, buildable tickets faster.
AI Code Generation & Review
Our engineers use AI pair-programming to ship faster while keeping compliance requirements built in from day one.
AI Automated Testing & QA
We generate test suites alongside features so regulated environments get broader coverage without slowing release cycles.
In our customer's internal operations:
How we can help your team to optimize their work using AI.
AI Workforce Productivity
We help teams identify where AI can reduce repetitive work and build the agents that replace it.
AI Medical Education & Training
We build intelligent learning tools for clinical staff onboarding, licensing, and continuous development. We also train teams to maximise adherence of the new tools implemented.
AI Research & Life Sciences
We build AI tools that accelerate patient recruitment, literature analysis, and evidence generation for research teams.
AI Revenue Cycle Management
We help healthcare organizations optimize claims, reduce denials, and accelerate reimbursements with AI.
In our customer's product:
The AI features we build directly into what your users experience.
AI Patient Access & Contact Centers
We build conversational and voice agents that handle scheduling, intake, triage, and eligibility on behalf of your patients.
AI Clinical Documentation
We build ambient documentation tools that turn clinical conversations into accurate notes and records.
AI Clinical Knowledge & Decision Support
We build tools that surface relevant clinical knowledge and patient-specific insights at the point of care.
AI Patient Engagement
We build personalized patient-facing experiences that improve activation, adherence, and outcomes across care journeys.
The process
Process Intelligence:
Most teams jump into AI. We ask where it actually belongs first and give your leadership a prioritized roadmap to act on.
Map tasks, decisions, and bottlenecks as they actually run.
Flag high-volume, rule-based processes ripe for automation.
Identify where AI supports clinical judgment, without replacing it.
Spot where AI adds friction instead of value.
Investment Analysis:
We evaluate full costs, expected ROI, and the risk factors -from adoption to compliance- that determine whether an implementation succeeds.
We quantify current costs: admin hours, error rates, rework, attrition.
We project full costs: build, integration, change management, and ops.
We model the ROI: expected return, payback period, and risk scenarios.
People Readiness
This is what most organizations skip. It determines whether AI adoption works.
Design the AI interaction model for each clinical and operational role.
Map how new AI flows connect to EHR, ops platforms, and data systems.
Map how team roles shift.
Run training and onboarding sessions to drive adoption across roles.
Build fast, validate early
We build prototypes and frameworks your teams can test and interact safely with before anything goes to production.
Staff see what changes before they affect their workflow and routines.
Clinicians flag what doesn't work, while corrections can still be made.
Ops managers validate the designed flow against how their teams work.
Real-world AI use cases
We carry the same principles through every engagement: sound judgment on where AI belongs, strong engineering on how it works, and results your organization can verify.
Projects developed in partnership with our clients, from early concept to real-world products.
The company develops solutions such as Voxira.ai (an AI clinic secretary) and NoteGen (an AI medical scribe). The team assessed and roadmapped Voxira.ai's product, integrations, and go-to-market strategy.
Projects developed by Light-it's Innovation Lab, our internal R&D and prototyping division.
The principles behind how we design and deploy AI in healthcare.
Learn from our Experts
Discover our exclusive contents on Healthcare innovation.
AI fatigue is real, and your product might be making it worse
AI is everywhere. So why isn't it where it's needed most?
Should Your Health Tech Product be Using Generative AI?
Exploring Generative AI in Healthcare through a Philosophical Lens
Understanding Human in the Loop: Where Humans Meet Machines
Top 5 Ways of Sourcing Data for Your Digital Health AI Product
Conversational AI in Healthcare: Why and How?
Enhance Patient Engagement with Generative AI in Healthcare
Talks, Research & Courses
What we're learning and sharing
Builders, practitioners, and domain experts share their perspectives, reflections, and learnings from the field.
DHI Roundtable: AI in Healthcare
AI Responsibility in Healthcare: Ravit Dotan
Light-it Academy:
Frequently Asked Questions
Learn everything about us and the way we work
- Before writing a single line of code, we map your workflows (tasks, decisions, handoffs, and bottlenecks) to identify where AI genuinely belongs in your operation and where it would create more friction than value. The output is a prioritized opportunity map that your leadership team can evaluate and act on. If you want to know more, check our stance on AI.
- Yes. We build prototypes specifically so your staff can interact with them before it affects their workflow. Clinicians flag what doesn't work while corrections are still easy to make, and ops managers can validate the designed flow against how their teams actually operate.
Light-it builds custom AI systems for healthcare, including clinical documentation tools, AI assistants for clinicians and staff, patient-facing conversational agents, decision support solutions, and workflow automation platforms that improve efficiency, care delivery, and patient outcomes. The team can adjust to your product’s needs.
Yes. Light-it regularly builds healthcare software that handles Protected Health Information (PHI) and is designed with HIPAA compliance requirements in mind. We follow secure development practices and can implement safeguards such as access controls, encryption, audit logging, and HIPAA-compliant infrastructure. While compliance depends on the entire solution and organization, we make security, privacy, and compliance core considerations throughout the development process.
We work exclusively within healthcare, which means our understanding of clinical workflows, regulatory environments, and care delivery constraints is the starting point, not something we learn on the job.
That's exactly where the process intelligence phase comes into play. Many organizations come to us with that uncertainty. We'll help you determine whether AI is the right move right now, where to start, and how to sequence investment so you build a strategic asset rather than take on unnecessary risk.
AI Strategy & Implementation
What is Light-it's approach when it comes to AI?
- Before writing a single line of code, we map your workflows (tasks, decisions, handoffs, and bottlenecks) to identify where AI genuinely belongs in your operation and where it would create more friction than value. The output is a prioritized opportunity map that your leadership team can evaluate and act on. If you want to know more, check our stance on AI.
Do clinicians get to see the AI before it goes live?
- Yes. We build prototypes specifically so your staff can interact with them before it affects their workflow. Clinicians flag what doesn't work while corrections are still easy to make, and ops managers can validate the designed flow against how their teams actually operate.
What kinds of AI systems does Light-it build for healthcare?
- Light-it builds custom AI systems for healthcare, including clinical documentation tools, AI assistants for clinicians and staff, patient-facing conversational agents, decision support solutions, and workflow automation platforms that improve efficiency, care delivery, and patient outcomes. The team can adjust to your product’s needs.
Is Light-it's work HIPAA compliant?
- Yes. Light-it regularly builds healthcare software that handles Protected Health Information (PHI) and is designed with HIPAA compliance requirements in mind. We follow secure development practices and can implement safeguards such as access controls, encryption, audit logging, and HIPAA-compliant infrastructure. While compliance depends on the entire solution and organization, we make security, privacy, and compliance core considerations throughout the development process.
How is Light-it different from a general AI development agency?
- We work exclusively within healthcare, which means our understanding of clinical workflows, regulatory environments, and care delivery constraints is the starting point, not something we learn on the job.
What if our organization isn't sure it's ready for AI?
- That's exactly where the process intelligence phase comes into play. Many organizations come to us with that uncertainty. We'll help you determine whether AI is the right move right now, where to start, and how to sequence investment so you build a strategic asset rather than take on unnecessary risk.
