Citrusbug Healthcare →
Citrusbug helps growing businesses decide where AI and modern technology fit, then plan how to build it securely. Our consulting engagements start with an honest assessment of your systems, data, and goals and end with a roadmap your team can act on.
See which technology investments pay back first before budget goes into a build, with each option weighed against cost, effort, and the business outcome you care about most, so early spending lands where it counts.
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Assess your current systems, integrations, and data quality so every plan matches what your team can run and maintain today, with gaps and dependencies documented before any build begins, so surprises surface early.
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Our Secure ADLC methodology carries security and compliance into every recommendation, so the roadmap you receive already accounts for data protection, access control, and applicable regulations, giving your team a plan it can defend.
Assess AI readiness, design secure AI-powered products, and integrate AI into the workflows you already run, starting with the use cases that fit your data, team, and budget, then prove value early.
Find where AI can create value in your operations, check whether your data and systems can support it, and leave with a prioritized use case roadmap.
Assess each workload on its own merits, decide what to move, retire, or keep, and plan the migration in detail before any execution work begins.
Review your current architecture, find the constraints that slow delivery, and plan a modernization path that protects the parts of your software that already work well.
Connect process, data, and technology decisions into one sequenced plan that works across teams, systems, and budgets, so each initiative builds on the one before it.
Bring security and regulatory requirements into the design from the first sprint, guided by our Secure ADLC methodology, so the software you build is prepared for audits and reviews.
Validate an idea through a proof of concept, prototype, or MVP plan before you commit to full development spend, so early decisions rest on evidence.
We meet your stakeholders, review your goals, and map the systems, data, and processes involved, so the assessment starts from a shared and accurate picture of your business.
We evaluate readiness, risk, and effort against your goals and document what we find, giving you a written assessment of where you stand and what stands in the way.
You receive a prioritized plan with scope, sequencing, and effort estimates for each initiative, so your team knows what to do first, what can wait, and what it will take.
Citrusbug can stay on to design and build, or you can hand the roadmap to your own team or another partner, with documentation ready for a smooth handover.
A fixed-scope review that ends with findings and recommendations. It suits teams that need an outside perspective before committing to a direction.
An assessment followed by a sequenced plan, with Citrusbug available to design and build the first initiatives.
A recurring engagement with senior technical advisors who review decisions as your business grows.
Our Secure ADLC methodology brings security and compliance considerations into technology assessments, architecture decisions, and roadmaps, helping your team address risks before implementation begins.
Our consultants work closely with engineers who build and maintain software, so recommendations account for technical constraints, implementation effort, system dependencies, and long-term maintenance.
Start with a focused assessment, architecture review, or technology roadmap. We define the scope and deliverables around your priorities, budget, and available resources, with room to expand as requirements evolve.
We assess the options based on your requirements, not a predetermined implementation plan. Recommendations may involve building, integrating, simplifying, postponing, or retiring technology, depending on what makes the most sense.
Pick the page that matches where you are today, whether you are deciding what to build, ready to build it, or looking for an industry-focused offering.
Decide what to build and how, with assessments, roadmaps, and advisory support.
Build it with Citrusbug engineers across web, mobile, cloud, and AI development.
Start from industry-focused offerings built around common business needs.
Problem solved: Phelix’s healthcare partners were losing hours to manual scheduling, paperwork, and payment follow-ups, with no unified way to manage patient communication.
Solution delivered: Citrusbug engineered a no-code AI virtual assistant, pairing predictive scheduling with OCR-based document automation and secure, compliant messaging and payments.
Outcome: Automated 70% of patient communication on a platform now supporting 31M+ patients across Canada.
Problem solved: Anterior needed to reliably extract and reason over unstructured clinical data for prior authorization, with explainable decisions and HIPAA-compliant auditability at enterprise scale.
Solution delivered: We built an AI-augmented clinical workflow platform combining LLM summarization, rules engines, and human-in-the-loop review across modular, explainable pipelines.
Outcome: Reached 99.24% clinical accuracy, lifted auto-approvals by 76%, and cut turnaround time by 60%, processing 1M+ authorizations a year.
Problem solved: Zest AI’s lenders relied on manual, rules-based underwriting that limited accuracy and left compliance and fraud risk exposed at enterprise volume.
Solution delivered: We engineered an enterprise AI lending platform unifying explainable underwriting models, fraud detection, and automated compliance monitoring into one decisioning ecosystem.
Outcome: Lifted loan approvals by 25%+, cut credit risk by 20%+, and automated 80% of lending decisions.
Problem solved: Just Home needed a platform that could handle complex property search filters, real-time financing tools, and multilingual content at scale without compromising user experience.
Solution delivered: We architected an integrated real estate platform combining advanced search, financing and budget calculators, multilingual CMS support, and secure third-party integrations.
Outcome: Scaled to manage 50K+ property listings with sub-250ms search response and a 30% lift in inquiry conversions.
Problem solved: CargoFax needed a scalable analytics platform to process massive import datasets in real time and surface insights across multiple geographic and operational dimensions.
Solution delivered: Citrusbug engineered a cloud-native import analytics platform on AWS, with ElasticSearch-powered search, interactive dashboards, and geographic data visualization.
Outcome: Processed 10M+ import records with sub-300ms search and 99.9% platform uptime, cutting decision-making time by 35%.
Problem solved: Cartpanda needed a highly configurable e-commerce framework that could serve merchants across 150+ countries with different product types, payment flows, and regional requirements.
Solution delivered: We built a scalable online store platform with product/order management, flexible checkout and payment integrations, and dynamic discounting — optimized for performance and mobile.
Outcome: Supported merchants in 150+ countries with sub-1s load times and a 30% lift in checkout/upsell conversion.
Most engagements include discovery, an assessment of your systems and goals, and a written roadmap. The exact deliverables depend on the service area and are agreed before work begins.
Duration depends on scope. A focused assessment is typically a matter of weeks, while a roadmap covering several systems takes longer. We confirm the timeline during discovery.
Cost depends on scope, the number of systems involved, and the depth of analysis. Assessments are priced separately from execution, so you can decide on a build with full information.
No. You own the findings, recommendations, and roadmap, and can move forward with your internal team or continue with Citrusbug for implementation.
Yes. Engagements are scoped around practical budgets and focused questions, so smaller teams get clear answers without paying for an enterprise-size program.
Yes. That is what an AI readiness assessment covers. We review data quality, integration points, security posture, and team capacity, then sequence the groundwork needed before AI features are built.
