Inigra Software House

Tag: MVP

  • Automating Discovery Call Follow-ups with AI – From 2 Hours to 2 Minutes

    Automating Discovery Call Follow-ups with AI – From 2 Hours to 2 Minutes

    How we built an intelligent automation system that transforms sales conversations into personalized follow-ups, saving 95% of manual work

    The Challenge: Manual Follow-ups Are Killing Productivity

    Every software house faces the same bottleneck: after a promising discovery call, someone needs to:

    • Review meeting notes or transcripts
    • Extract key requirements and pricing expectations
    • Draft a personalized follow-up email
    • Include accurate estimates and timelines
    • Handle NDA workflows if needed
    • Track everything in a CRM

    The reality? This process takes 1-2 hours per call, and by the time you send it, the lead’s excitement has cooled.

    Our Solution: End-to-End Discovery Call Automation

    We built an intelligent automation system that handles the entire post-call workflow automatically, from the moment a discovery call ends to sending a personalized follow-up email.

    How It Works (High-Level)

    1. Automatic Trigger When a discovery call ends, the system automatically detects it and starts processing — no manual intervention needed.

    2. AI-Powered Analysis The system analyzes the conversation to extract:

    • Project requirements and scope
    • Budget expectations
    • Timeline constraints
    • Technical challenges discussed
    • Whether an NDA is needed

    3. Intelligent Email Generation Using advanced AI (Claude), the system generates a professional follow-up email that includes:

    • Personalized summary of the discussion
    • Accurate project estimates
    • Realistic timeline projections
    • Next steps tailored to the conversation
    • NDA signing link (if required)

    4. Smart Routing & Notifications The system sends the follow-up from the appropriate team member (e.g., CTO for technical discussions) and notifies the team for review before sending.

    5. Context-Aware Workflows Different scenarios trigger different actions:

    • Pre-call NDA requests
    • Post-call follow-ups with proposals
    • Automatic calendar confirmations
    • Team notifications with actionable insights

    The Technology Behind It

    While we can’t reveal all the secret sauce, here’s what powers the system:

    • AI Processing: Claude (Anthropic) for intelligent conversation analysis
    • Meeting Intelligence: Fireflies.ai for transcription
    • Calendar Integration: Google Calendar API for seamless scheduling
    • Email Automation: SendGrid for reliable delivery
    • Smart Webhooks: Real-time event processing
    • Custom NDA System: Digital signature workflow with PDF generation

    The entire system runs on Node.js with a focus on reliability, security, and scalability.

    Results: 95% Time Savings, 100% Consistency

    Before Automation:

    • ⏱️ 2 hours per follow-up
    • 📋 Manual note-taking and review
    • 🎲 Inconsistent email quality
    • 😰 Risk of forgetting key details
    • 📧 Delayed responses (24-48h)

    After Automation:

    • ⚡ 2 minutes per follow-up (just review & send)
    • 🤖 Automatic transcription analysis
    • ✨ Consistent, professional emails
    • 🎯 AI captures everything discussed
    • 📬 Same-day follow-ups (within hours)

    Additional Benefits:

    • Scalability: Handle 10x more calls without hiring
    • Lead Quality: Faster responses = higher conversion
    • Team Happiness: Engineers focus on building, not admin work
    • Data Insights: Every call is analyzed and stored
    • Professional Image: Consistent, high-quality communication

    Real-World Impact

    “The system caught technical details from a 30-minute call that we would have missed in manual notes. The follow-up was ready for review before we even finished our internal debrief.”

    The automation doesn’t just save time — it improves accuracy, ensures no lead falls through the cracks, and maintains a professional touch at scale.

    Key Features That Make It Work

    1. Intelligent Conversation Analysis

    The AI doesn’t just transcribe — it understands context, extracts requirements, and identifies pricing expectations.

    2. Dynamic Email Generation

    Every email is unique, tailored to what was actually discussed, not a generic template.

    3. Context-Aware NDA Handling

    The system knows when to send NDA requests (before or after calls) and adjusts messaging accordingly.

    4. Team Collaboration

    Automated notifications keep the team informed without manual status updates.

    5. Professional Branding

    All communications maintain consistent branding with custom templates and sender configuration.

    Why This Matters for Your Business

    Discovery calls are the heartbeat of any service business. But the follow-up process is where most companies lose momentum.

    Ask yourself:

    • How many hours does your team spend on follow-ups each week?
    • How many leads go cold because the follow-up came too late?
    • What’s the cost of inconsistent communication?
    • Could your engineers be building instead of writing emails?

    Automation isn’t about replacing humans — it’s about eliminating repetitive work so your team can focus on what matters: having great conversations and building great software.

    The Technical Challenge (For the Curious)

    Building this required solving several interesting problems:

    • Real-time webhook processing from multiple sources
    • AI prompt engineering for accurate extraction
    • Context-aware decision making (pre/post call scenarios)
    • Reliable email delivery with proper sender authentication
    • Digital signature workflows for legal compliance
    • Database design for tracking complex workflows

    Every component needed to be reliable, because a failed follow-up means a lost opportunity.

    Want to Automate Your Sales Process?

    This case study shows just one example of what’s possible when you apply intelligent automation to business workflows.

    Whether it’s discovery calls, client onboarding, project management, or internal processes — there’s likely a 10x improvement waiting to be unlocked.

    What We Can Do For You:

    ✅ Process Analysis: Identify automation opportunities in your workflow
    ✅ Custom Solutions: Build automation tailored to your specific needs
    ✅ AI Integration: Leverage cutting-edge AI for intelligent processing
    ✅ Seamless Integration: Connect with your existing tools (CRM, calendar, email, etc.)
    ✅ Ongoing Support: Maintain and optimize as your needs evolve

    Start Your Automation Journey

    Curious about what automation could do for your business? Let’s talk.

    Schedule a Discovery Call — we’ll analyze your workflow and show you what’s possible. (And yes, we’ll send you an automated follow-up 😉)

    About Inigra Software House
    We’re a European software house specializing in intelligent automation, AI integration, and custom software development. We help businesses work smarter, not harder.

    Want to see how we built other projects? Check out our technical blog for deep dives into automation architecture, AI integration patterns, and real-world implementation stories.

  • Why No-Code MVPs Fail to Scale: The Technical Breakdown Every Founder Should Know

    Why No-Code MVPs Fail to Scale: The Technical Breakdown Every Founder Should Know

    No-code tools like Bubble, Lovable, Replit, and AI-generated builders are an incredible shortcut for launching early prototypes. They allow founders to validate ideas quickly without hiring developers.

    But once the product attracts real users — performance drops, features break, and growth becomes impossible.

    At Inigra Software House, most of the founders who contact us come with the same problem:

    “Our no-code MVP worked for testing, but now users complain, and we can’t add new features.”

    Here’s why it happens — and what to do next.

    1. No-Code MVPs Aren’t Built for Real Traffic

    No-code apps rely on heavy visual builders and auto-generated workflows.
    When 10 people use the app — everything looks fine.
    When 100+ people join — issues appear immediately:

    • slow page loads

    • automation delays

    • broken workflows

    • database timeouts

    No-code platforms don’t optimize queries or infrastructure.
    You can’t upgrade the backend — you can only upgrade your subscription.

    2. Complex Logic Breaks Fast

    As soon as your idea requires more than simple CRUD operations, no-code tools begin to struggle.

    Examples we see often:

    • multi-step automations fail

    • API integrations stop working

    • permissions become messy

    • database relationships get chaotic

    • performance drops with every new feature

    The more complex your product becomes, the more fragile the no-code logic becomes.

    3. Scaling Costs More Than Rebuilding

    Founders often believe no-code is always cheaper.
    This is true only at the beginning.

    But later:

    • plugins cost money

    • complex workflows are slow and difficult

    • reworking broken features takes more time

    • you need specialists who charge more for no-code fixes

    • hosting costs increase rapidly

    At a certain point, rebuilding the app in custom code is cheaper than keeping it alive in Bubble or Lovable.

    4. You Can’t Control Performance or Optimisation

    With no-code you cannot:

    • optimise backend queries

    • add caching

    • control server resources

    • adjust database indexing

    • improve API speed

    • implement efficient architecture

    You are locked inside the platform.
    If it’s slow — there is nothing you can do.

    5. Advanced Features Are Hard or Impossible

    Most founders outgrow no-code when they want:

    • real-time features

    • scalable SaaS architecture

    • advanced payments

    • messaging

    • custom dashboards

    • AI features

    • mobile apps

    • multi-tenant systems

    These require a real backend, real structure and real engineering.

    When Should You Rebuild? (The 4 Clear Signs)

    You should transition from no-code to custom code when:

    1) Users start complaining about speed or bugs

    That’s the #1 sign.

    2) Each new feature takes longer than expected

    Your MVP is hitting limitations.

    3) You plan to raise investment

    Investors expect scalability.

    4) You have more than 50–100 active users

    Most no-code apps break at this level.

    What’s the Solution? Rebuilding With a Real Architecture

    This is where a software house like Inigra comes in.

    We rebuild no-code prototypes using a scalable tech stack such as:

    • Next.js

    • React

    • Node.js

    • NestJS

    • Flutter

    • PostgreSQL

    • Google Cloud Platform

    You get:

    ✔ fast performance
    ✔ clean code
    ✔ scalable backend
    ✔ easy integration with any API or AI model
    ✔ mobile + web support
    ✔ no vendor lock-in

    And the rebuild usually takes 6–10 weeks.

    Conclusion

    No-code is perfect for validating ideas — but not for long-term scaling.
    If your app is getting slower, harder to maintain, or painful to extend, rebuilding into custom code is not just a technical decision — it’s a business advantage.

    Your product can only grow on a foundation designed to grow.

    Ready to scale beyond no-code?

    Book a free 30-minute Discovery Call with our CTO, Paweł Reszka, and we’ll analyse your no-code prototype together.

    👉 https://calendar.app.google/EuxYZ2YtzXYMTGCq9

  • From No-Code to Scalable MVP: When to Rebuild Your Lovable or Bubble App in Custom Code

    From No-Code to Scalable MVP: When to Rebuild Your Lovable or Bubble App in Custom Code

    Over the past few years, thousands of founders have launched their first prototypes using AI no-code tools like Lovable, Bubble, Replit, FlutterFlow, and similar platforms. It’s fast, accessible, cheap and perfect for validating early ideas.

    But there’s a problem:
    no-code almost always breaks the moment you try to scale.

    At Inigra Software House, most of the founders who reach out to us have the same story:

    “We built our prototype in Bubble/Lovable, but now we can’t scale it, extend it or onboard real users.”

    This article explains exactly when a no-code app reaches its limits, what warning signs to watch for, and how to transition into a scalable, stable MVP that can grow with your users.

    Why No-Code Tools Are Perfect for Early Prototypes

    No-code platforms exploded because they remove the heavy barriers of early development.

    The advantages are undeniable:

    • You can launch in days, not months

    • You don’t need developers

    • Costs are low at the beginning

    • Perfect for MVPs, landing pages and simple dashboards

    • Great for validating demand before spending real money

    For early testing, no-code tools are excellent.
    For building a long-term product — not so much.

    Where No-Code Starts Breaking Down

    Once your app gets real usage, no-code limitations appear very quickly. These are the issues we see most often when clients come to us.

    1. Performance Issues (Slow Pages, Lags, Freezes)

    Bubble and Lovable generate a lot of hidden code and heavy workflows. As your user base grows, so does the load on the system.

    Common symptoms:

    • Pages loading in 3–8 seconds

    • Inputs freezing

    • Database searches timing out

    • Mobile version glitching

    • Workflows failing randomly

    This kills user experience immediately.

    2. High Cost of Adding New Features

    Ironically, the farther you go with no-code, the more expensive it becomes:

    • Plugins cost money

    • Advanced features require hacks

    • Workflows turn into spaghetti

    • Developers charge more because no-code is harder to extend

    At some point, rebuilding is cheaper than “patching.”

    3. Limited Flexibility and Customization

    No-code platforms limit what you can control:

    • Backend architecture

    • Database optimisation

    • Server performance

    • Security

    • Real-time features

    • Advanced automations

    • Custom integrations

    Anything beyond “simple app logic” becomes painful.

    4. Vendor Lock-In

    This is the biggest risk.

    You can’t export your code from Lovable or Bubble.
    You depend 100% on the platform.

    If the platform:

    • raises prices

    • limits features

    • changes infrastructure

    • suffers downtime

    Your product is stuck — with no escape route.

    5. Inability to Add Complex Features

    As soon as founders want anything “more advanced”, no-code hits a wall. For example:

    • Real-time notifications

    • Multi-tenant SaaS

    • Complex payment logic

    • AI features

    • Advanced dashboards

    • Messaging

    • Heavy file processing

    • Enterprise integrations

    This is the moment most founders contact a software house.

    6 Signs It’s Time to Move From No-Code to Custom Code

    After working with hundreds of prototypes, we see the same triggers over and over again.

    1) Your app slows down with real users

    If 20–50 users are enough to break performance — it’s time.

    2) Every new feature takes days or weeks

    When development starts feeling like “fighting the platform.”

    3) You hit platform limitations

    If Bubble/Lovable says: “This isn’t possible,” that’s your answer.

    4) You’re preparing to raise money

    Investors expect scalable architecture.

    5) You can’t onboard more users

    Your prototype wasn’t built for real traffic.

    6) You want to grow beyond a simple MVP

    At this stage, no-code becomes a blocker — not a tool.

    How Inigra Rebuilds No-Code Apps Into Scalable MVPs

    This is the exact process we use at Inigra Software House to transform fragile prototypes into stable, production-ready MVPs.

    Step 1 — Technical Audit

    We review everything from your no-code build:

    • screens

    • workflows

    • database

    • automations

    • API calls

    • user flows

    • bugs

    • performance

    Outcome: a clear rebuild plan with full transparency.

    Step 2 — UX/UI & Architecture Redesign

    We prepare:

    • modern UI/UX (web + mobile)

    • scalable backend architecture

    • database schema

    • development roadmap

    • complete scope

    • user stories

    You see exactly what we will build before coding starts.

    Step 3 — Full-Stack Development

    We rebuild your prototype using a tech stack designed for real scalability, such as:

    • Next.js / React

    • Node.js / NestJS

    • Flutter (mobile apps)

    • PostgreSQL / Firebase / Supabase

    • Google Cloud Platform

    The result:

    • lightning-fast performance

    • clean infrastructure

    • easy future development

    • secure code

    • no vendor lock-in

    Step 4 — QA, Testing & Launch

    We handle:

    • performance tests

    • security checks

    • automated testing

    • deployment

    • maintenance

    You receive a polished, stable, scalable MVP — ready for real users.

    How Much Does Rebuilding Cost?

    Based on our projects:

    💰 Small MVP: £5,000–£10,000

    💰 Medium MVP: £10,000–£20,000

    💰 Advanced MVP: £20,000–£30,000+

    ⏱ Typical timeline: 6–10 weeks

    Rebuilding is almost always cheaper than continuing on no-code.

    Example Scenario (Generic)

    A founder launched a Lovable prototype in 72 hours.
    Great validation.
    50 beta users joined.

    Then:

    • load times: 6 seconds

    • workflows breaking

    • database errors

    • UI not working on mobile

    • advanced features impossible

    We rebuilt the product using:

    • Next.js

    • Node.js

    • PostgreSQL

    • fully optimized UX

    In 8 weeks they had:

    • 12× faster performance

    • scalable architecture

    • clean, extendable components

    • stable backend

    • mobile-ready UI

    This is the typical transformation.

    Conclusion

    No-code is excellent for launching fast — but not for growing.
    If your product is gaining traction or running into limitations, rebuilding into custom code is the natural next step.

    This transition doesn’t have to be slow, expensive or stressful — especially with an experienced full-stack team.

    Ready to Scale Beyond No-Code?

    Book a free 30-minute Discovery Call with our CTO, Paweł Reszka.
    We’ll review your prototype and tell you exactly what it takes to rebuild it into a market-ready MVP.

    👉 Book here:
    https://calendar.app.google/EuxYZ2YtzXYMTGCq9

  • Why Your Software Project Keeps Failing Before It Starts — and What to Do Differently

    Why Your Software Project Keeps Failing Before It Starts — and What to Do Differently

    Launching a new software product is exciting. Whether it’s a mobile app, SaaS platform, or internal tool — you’re investing time, money, and energy into something that’s supposed to solve a real problem.

    But here’s the uncomfortable truth: many software projects fail before the first line of code is even written.

    Why does this happen? And more importantly — how can you avoid it?

    1. No Clear Problem = No Clear Product

    One of the biggest early mistakes is skipping the “why” and jumping straight into the “what.”

    You might know you need an app. You might even have a list of features. But without clearly identifying the problem you’re solving, everything else is guesswork.

    Tip: Spend time validating the problem with real users. Your app should be a solution to something specific — not just an idea that sounds good on paper.

    2. Starting Too Big, Too Soon

    Ambition is great. But trying to build the “final version” of your software from day one is a common trap.

    Large scope = longer development = higher costs = bigger risks.

    The smarter route? Start with an MVP (Minimum Viable Product) — a focused version of your idea that solves the core problem and allows for learning and iteration.

    MVP ≠ cheap version.
    MVP = strategic launch tool.

    3. Misalignment Between Business and Tech

    You know what your users want. Your developers know what’s technically possible. But without strong communication between those two sides, things fall apart quickly.

    Feature creep, unrealistic deadlines, and unclear goals often stem from a lack of shared understanding.

    Tip: Use discovery workshops or product sprints before development to align everyone around goals, value, and priorities.

    4. Underestimating Design and UX

    It’s easy to focus on what your app does — and forget about how it feels.

    But users don’t just need features. They need clarity, speed, and trust.

    Poor UX leads to poor retention. Inconsistent design makes your product feel unreliable. The wrong flow kills conversions.

    Tip: Treat UX/UI design as a strategic phase, not just a “nice touch.”

    5. Assuming Launch = Done

    Getting your product live is an achievement. But it’s also just the beginning.

    Successful software evolves based on user feedback, data, and market shifts. If there’s no plan for iteration, support, or growth — the product will stagnate.

    Tip: Build with scaling and maintenance in mind — not just speed.

    So What’s the Fix?

    Successful software products don’t happen by accident.

    They’re built with:

    • Strategic planning

    • Real user input

    • Agile delivery

    • Clear business goals

    • A focus on value, not just features

    Whether you’re a startup founder, product owner, or innovation lead — the challenge is the same:
    Build something people want, in a way that makes sense.

    And yes — it’s possible.