Relevant Software

We’re looking for a Project Coordinator to support outstaff projects, manage client accounts, and help distributed development teams deliver great results across US & Europe. ✅ Must-have: previous IT experience in roles such as Account Manager / Customer Success / Project Manager ✅ Advanced English (daily communication with clients) ✅ Strong communication skills, ownership, and ability to multitask Remote-friendly, flexible workflow, long-term projects, and a supportive team culture. Details & apply here 👉 https://lnkd.in/esVKEdD9

A claims platform earns its keep when it stops two everyday problems: endless follow-ups and “who owns this now?” moments. If the system can’t answer those fast, people will, and they’ll answer with email threads, spreadsheets, and one overworked expert who knows where everything hides. Here’s what actually matters when teams evaluate insurance claims management software, especially if the roadmap includes automation and insurance claims management software with AI. ▪️ A clean front door for claims Omnichannel intake means claims come in from portals, mobile, call centers, and brokers, but the system captures the same core fields every time. Fewer gaps at FNOL means fewer calls later. ▪️ Rules that move work, not just label it Workflow automation should route tasks, trigger approvals, and escalate stalls. The best setups make ownership obvious and keep claims from “camping” in a queue. ▪️ Documents that stay tied to the claim Central document management with retention, version control, and audit history keeps evidence from scattering. Intelligent document processing helps when the volume of forms starts to win. ▪️ Fraud signals with context Risk scoring works when it supports consistent investigation, not panic. People trust it when the system shows why it raised a flag. ▪️ Integrations that avoid reconciliation pain Policy, billing, CRM, and data tools need to stay in sync. Strong integrations reduce the “we’ll fix it in reporting” problem. ▪️ Dashboards that reflect reality Cycle time, leakage, bottlenecks, and reopen rates. Good analytics comes from structured workflow events, not notes. ▪️ Security and compliance built in Access controls, encryption, audit logs, and retention. Not exciting, but neither is explaining a missing record. Our team builds and modernizes claims platforms for carriers and insurtechs, from discovery and architecture to integrations, data analytics, and AI automation that stays traceable and controllable. If you want a quick assessment of your current claims workflow and where software can remove the biggest bottlenecks, contact us via the insurance software development services page (link in the comment).

Claims technology shifts when operations feel pain, not when a new feature ships. Rising volumes, higher customer expectations, and tighter scrutiny push insurers beyond “basic automation” toward systems that make better real-time decisions, with controls that stand up to audits. Here’s where claims platforms are heading, based on what claims teams actually deal with: 1️⃣ AI-driven triage + decision support AI helps where time pressure is highest. It sorts intake by complexity and risk, then surfaces relevant policy clauses, similar past cases, and likely next steps. The winning pattern keeps humans in charge: consistent recommendations, clear rationale, and an override that leaves a trail. 2️⃣ Predictive analytics that prevents delays Instead of discovering problems in end-of-month reports, predictive models flag early signs of cost overruns, dispute risk, and stalled claims. That gives leaders time to reassign work, request missing evidence sooner, or adjust the settlement path while options remain open. 3️⃣ Self-service that reduces call volume Portals go beyond “submit a claim.” The next generation supports document exchange, status tracking, appointment coordination, and two-way messaging. Policyholders get transparency, and internal teams spend less time repeating the same updates. 4️⃣ Real-time operational insight Claims leaders want to run performance like a live operation, not a post-mortem. Integrated analytics shows queue health, exception rates, leakage signals, and SLA risk as work happens, so teams can act before backlog becomes the headline. If your roadmap includes claims automation or AI, make sure the foundation is strong: clean data, disciplined workflows, and audit-ready decisions.

We’re hiring! 🖤 Senior Full-Stack Developer (Python) — AI-driven development If you have strong full-stack skills and hands-on experience in healthcare/healthtech projects, we’d love to hear from you. ✅ Python + modern web stack ✅ AI-driven product development ✅ Real impact in healthcare solutions ✅ Remote-friendly team & strong engineering culture Full details & apply here 👇 https://lnkd.in/eC2x63pB Or feel free to connect directly with our recruiter Anastasiia Klok to learn more and apply 🙃

Ford Sinclair, a UK-based award and event management company, needed to replace several disconnected tools and manual workflows with one modern platform. Relevant Software built a scalable, digital-first system that unifies nominations, judge voting, guest management, and event content in a single CMS — delivering full transparency, faster operations, and seamless event execution for 1,000+ attendees per programme. Check the full case study to explore the solution in detail 👇 https://lnkd.in/egsCWdpM

We’re hiring a Business Analyst! Relevant Software is looking for a Business Analyst to join the team. Experience in healthcare is important, as most of the projects are in medical, pharma, and healthtech domains. If you’re comfortable working with stakeholders, turning requirements into clear documentation, and want to work on real healthcare products - check out the role here 👇 https://lnkd.in/etMYQTeA Feel free to apply or share with someone who might be interested.

650+ самостійно створених звітів щомісяця, на третину зменшене навантаження на аналітиків, а середній час відповіді на запит клієнта — 0,8 секунди. Такі результати принесла банку співпраця із Relevant Software, що розробляли стратегію впровадження АІ у підготовлені дані. Більше про кейс та як це вплине на банківську сферу — розповідаємо у матеріалі. https://lnkd.in/d_CycNMn #промо

Merry Christmas from the Relevant Software team! 🎄 Before everyone signs off for the holidays, we want to say a simple thank you. To our clients and partners! Thank you for trusting us this year, for the open conversations, the challenges, and the teamwork. We truly value the relationships we’ve built and the work we’ve done together. To our team! Thank you for the effort, care, and commitment you bring every day. The results we’re proud of this year are a direct reflection of you. We wish you a joyful holiday season, good time with loved ones, and a fresh start to the New Year 🖤

A one-day build sounds extreme, yet for founders, innovation leaders, product managers, and investors, it often gives the cleanest signal: does this idea deserve more time and money? Here is how a 24-hour AI MVP helps, based on how we run these sprints at Relevant Software: ▪️ Validate ideas with low cost and real data Ship a small AI MVP, test one clear use case, and see if it actually solves a painful problem. Use tiny but focused datasets, simple pipelines, and synthetic data where needed. Track accuracy and user behavior from day one instead of guessing. ▪️ Show investors and early users something real A working demo beats any slide deck. A 24-hour MVP proves that the team executes under pressure, the stack fits the problem, and the AI does more than talk. Early adopters can click through, share reactions, and shape the roadmap. ▪️ Gain an edge through fast iteration In SaaS, fintech, healthtech, and marketplaces, speed decides who stands out. Quick cycles help teams double down on features that move engagement and metrics, postpone experiments that add noise, and keep technical debt under control. ▪️ Fail fast, learn precisely, and pivot with confidence If results fall short, you lose a day instead of a quarter and still gain hard evidence on demand, channels, and data quality. Every 24-hour MVP turns into a sharper next step, not a sunk cost. When speed and learning align, a one-day AI MVP stops being a stunt. It becomes a disciplined way to move from idea to proof with Relevant Software as a partner that keeps the process focused, practical, and measurable.

With one day, a sharp idea, and pressure to show value, the Relevant Software team helps companies move from uncertainty to a working AI demo that proves impact. The goal is one measurable outcome and one AI capability that clearly demonstrates it. Here is how we guide the day: ▪️ Define one clear goal Together, we write a short line that names the user, the moment the problem appears, and the result we target, plus one metric. Example: "Support managers cut average password reset time by 20% this week". ▪️ Select the right AI use case Our engineers match capability to need. NLP for support, search, and summaries. Computer vision for documents and defects. Predictive analytics for scoring and forecasts. We choose one stable API so the demo stays reliable. ▪️ Prepare a small, focused dataset Relevant Software experts collect ten to fifty examples that reflect real use. When data is not ready, we create synthetic records with the same structure and document all limits to ensure accuracy checks remain honest. ▪️ Build fast with no-code and low-code tools We use Bubble or Retool for dashboards and Streamlit for model demos. One screen, one API call, basic auth, simple logs, and a feedback button. This keeps the MVP fast and lightweight. ▪️ Create quick UX/UI mockups Our AI-driven design workflow speeds up discovery with Gemini, Liner, Perplexity, and Claude, then moves to v0, Cursor, and Figma to shape a clean interface. ▪️ Test the full user path The Relevant Software team walks through the journey, triggers an intentional error, and invites one or two early users. Any confusion becomes an instant fix. ▪️ Prepare a clear, confident demo We record a short walkthrough showing the input → AI action → result. One key metric anchors the story and sets the direction for pilots or investor talks. A 24-hour MVP works when every hour produces something real. At Relevant Software, speed is useful only when each step brings a sharper focus and a product that users want to explore again tomorrow.