Cloud-native Architecture
Context
The situation before the platform
Why sales organisations needed one ecosystem instead of a CRM, a booking tool, an email tool and a spreadsheet.
| The business |
Sales, marketing and service organisations managing customer relationships, sales operations, marketing activity and appointments — including businesses running several branches, teams and locations at once. |
| The starting point |
Disconnected tools, scattered customer data, inefficient workflows and manual processes that limited productivity and growth. Separate systems for CRM, bookings, email and marketing left teams without a single view of any customer. |
| The trigger |
Repetitive follow-ups, reminders and record updates were absorbing sales and support time, while limited marketing automation and no real-time analytics made performance hard to see and harder to improve. |
| What they wanted |
One centralised business management platform covering lead acquisition, engagement, conversion and retention — CRM, sales pipelines, marketing automation, booking and scheduling, multi-branch administration and real-time analytics in a single ecosystem. |
| Constraints |
The architecture had to stay modular so functionality could be added without disrupting existing operations or performance · multi-branch structures needed centralised control alongside branch-level flexibility · AI had to sit inside everyday workflows rather than beside them · the interface had to reduce complexity, not add another tool to learn. |
System
What it runs at today
The platform as delivered, live and scaling across web and mobile.
Subscription growth
25%
Growth in subscriptions following the move to one unified, AI-assisted workspace
Core modules
6
CRM and contacts, sales pipelines, marketing automation, email campaigns, booking and scheduling, multi-branch administration
Engagement length
48+
Months as a product engineering partnership, through launch and scaling
Team size
20+
Designers, engineers, AI and QA specialists across frontend, backend and cloud
The engineering problem
Six gaps that shaped the build from day one
Not vague pain points — the specific technical tensions that emerged during development, each paired with what we did about it.
0
1
Disconnected business systems
Businesses relied on separate tools for CRM, bookings, email and marketing without proper integration. That created fragmented data, duplicated effort and inefficient workflows, making consistency across operations difficult to maintain.
What we did
A single centralised ecosystem bringing CRM, bookings, marketing, automation and analytics together, so a customer record, a campaign and an appointment all resolve against the same data rather than four separate products.
0
2
Repetitive tasks absorbing sales and support time
Follow-ups, reminders, record updates and routine customer communication took significant time from sales and support teams. That reduced productivity, increased the risk of human error and led to missed opportunities.
What we did
AI-powered automation for lead nurturing, follow-ups, notifications and workflow triggers, cutting manual intervention and keeping business processes executing consistently at scale.
0
3
Poor customer visibility
Without a centralised customer view, teams could not track interactions, engagement history and sales progress in one place. Understanding customer needs, personalising communication and making informed decisions all became harder than they should be.
What we did
A unified CRM dashboard holding customer interactions, lead information, communication history, deal tracking and audience segmentation, giving teams visibility across the whole customer lifecycle.
0
4
Limited marketing automation
Running targeted campaigns, segmenting audiences and delivering personalised messaging at scale was difficult with limited automation. That held back engagement and narrowed the opportunities for acquisition and retention.
What we did
Intelligent marketing workflows built on triggers and conditional logic with automated email and SMS communication, plus centralised campaign management covering segmentation, scheduling, templates, broadcasting and performance tracking.
0
5
Complex multi-branch management
Managing several locations without a centralised system led to inconsistent processes, limited operational control and poor visibility into branch-level performance.
What we did
Multi-branch operations through centralised administration, role-based access controls, branch-level analytics and scalable organisational structures, keeping processes consistent while each location keeps the flexibility it needs.
0
6
Lack of actionable insights
Without real-time analytics, businesses struggled to understand performance or identify what to improve. Limited data visibility made it difficult to optimise strategy, improve engagement and support sustainable growth.
Interactive dashboards and detailed reporting giving real-time visibility into KPIs, campaign performance, revenue trends and operational metrics, with AI-driven analytics turning that data into predictive insight.
Architecture
How it fits together
Simplified — the shape rather than every service.
0
1
Clients
React.js · Next.js · Responsive UI frameworks
One responsive interface across desktop, tablet and mobile, so a rep can work a pipeline on a laptop and check appointments on a phone without relearning the product.
0
2
Gateway
REST API · Secure APIs · Webhooks & APIs · Role-based access
Every client request, third-party callback and automation trigger passes through one secure API surface, with role-based access controls deciding what each user and branch can reach.
0
3
Services
Node.js · Nest.js · Microservice architecture · Intelligent automation engines · Machine learning workflows
A modular, microservice-based backend keeps CRM, pipelines, campaigns, bookings and branch administration as separate concerns, so functionality can be extended without disrupting existing operations.
0
4
Data & infra
Secure database systems · AWS · Cloud-based deployment · Scalable hosting architecture
Secure database systems hold customer, campaign and booking data, deployed on AWS with a scalable hosting architecture sized for growing organisations and additional branches.
Modularity was treated as an architectural requirement rather than a refactor to do later: the flexible structure is what lets new features, workflows and integrations land without destabilising the modules already in production.
Solutions
Six systems doing the actual work
Not a features list — the specific things we built behind every number above.
CRM & contact management
A centralised dashboard for customer interactions, lead information, communication history, deal tracking and audience segmentation, giving teams visibility across the customer lifecycle.
Sales pipeline management
Customisable pipelines to track opportunities, monitor sales activity, forecast revenue and analyse performance, with AI-driven lead scoring surfacing the highest-potential prospects first.
Marketing automation
Intelligent workflows using triggers, conditional logic and automated email and SMS communication, with customer journey management delivering timely interactions at scale.
Email campaign management
Audience segmentation, campaign scheduling, template management, broadcasting and performance tracking in one place, with AI generating email content and personalised copy.
Smart booking & scheduling
Calendar synchronisation, automated reminders, self-service appointment booking, scheduling management and staff availability coordination, cutting the administrative work around appointments.
Multi-branch business management
Centralised administration, role-based access controls, branch-level analytics and scalable organisational structures for businesses running several locations and teams.
Key features
What the platform does day to day
Five capabilities, each closing one of the gaps identified above.
| Capability | Runs | Refresh | What it does |
|---|---|---|---|
| AI email assistance | On request | On demand | Generates email content and personalised communication for campaigns, customer engagement and everyday business interactions |
| Smart lead scoring | Automated | On activity | Evaluates and prioritises leads by engagement, activity and conversion potential so teams work the high-value opportunities first |
| Predictive customer insights | Background | Continuous | Analyses customer behaviour and interaction patterns to identify trends, anticipate needs and flag churn risk |
| Intelligent workflow suggestions | Assistive | In workflow | Recommends ways to optimise operational workflows, automate repetitive tasks and reduce manual effort |
| Business performance analytics | Dashboard | Real time | Turns sales, marketing and operational data into actionable insight on KPIs, campaigns and revenue trends |
Integrations
How the moving parts plug in
Mailboxes, calendars, AI models and automation tools reach the platform through one API layer rather than sitting beside it as separate tools.
Connected systems
Email
Gmail, Microsoft Outlook, Forward API
Calendars
Google Calendar synchronisation
AI models
Gemini, Claude, Mistral, Cohere, Amazon Titan
Automation & webhooks
Zapier, webhooks and APIs
↓
Through one secure API layer ↓
Platform integration layer
REST API layer
One contract for every client
Intelligent automation engines
Triggers, conditional logic, machine learning workflows
Role-based access control
Users, teams, branches, administrators
↓
Into the core services ↓
Core services
CRM & contacts
Sales pipelines
Marketing & campaigns
Bookings & scheduling
Branches & analytics
Because knowledge base chat, email and meeting summaries, note rewriting, signature extraction and automated support responses all run against the same customer record, AI assistance appears inside the work rather than as a separate destination.
Security
What protects customer and business data
The platform holds customer records, communication history, campaign data and branch structures — so protection and access control were designed in from the architecture stage.
Secure data handling
Comprehensive testing and optimisation covered secure data handling, workflow accuracy and reliable performance across business operations and customer interactions.
Role-based access control
Users, teams, branch managers and administrators each reach only what their role requires, with centralised administration governing accounts, structures and permissions.
Secure database systems
Customer, campaign and booking data sit in secure database systems reached through secure APIs rather than exposed directly to clients or third-party tools.
Scalable cloud infrastructure
Cloud-based deployment on AWS with a scalable hosting architecture, so growing organisations and additional branches add load without destabilising the platform.
Process
How we got there
Five stages, starting with the real operational workflows rather than a feature list.
0
1
Research-driven product design
In-depth research into operational challenges across sales, marketing and customer management, analysing real workflows, inefficiencies and user expectations to shape a practical solution focused on measurable outcomes.
0
2
AI-integrated workflows
AI built into core workflows to automate repetitive tasks and cut manual effort, analysing data, identifying patterns and providing insight that supports faster decision-making.
0
3
Modular architecture
A scalable, modular architecture so businesses can expand functionality as needs evolve, supporting new features, workflows and integrations without disrupting existing operations or performance.
0
4
User-centric experience
Intuitive navigation, modern UI/UX and streamlined workflows, with interfaces structured to reduce complexity, improve accessibility and help users finish tasks efficiently on desktop, tablet and mobile.
0
5
Agile development
Continuous iteration and feedback-driven development, with regular updates, performance improvements and feature enhancements guided by real-world user insight and operational feedback.
Business impact
What changed for the business
Beyond the headline numbers, three things sales and marketing teams noticed first.
One connected sales ecosystem
CRM, sales, marketing, communication, scheduling and multi-branch administration moved into a single platform, giving teams a complete view of the customer journey and clearer operational visibility.
Faster sales cycles, less manual work
Reducing manual tasks and streamlining workflows let teams spend their time on high-value activity, accelerating business processes and improving lead conversion.
Decisions made on current data
Advanced analytics, real-time reporting and automated sales and marketing workflows gave businesses the basis for data-driven decisions and stronger customer relationships.
Commercial outcome
What the engineering choices are worth in operating terms
Every headline number traces back to a specific decision, not a vague platform effect.
| Engineering decision | Operating outcome | Measured effect |
|---|---|---|
| AI automation across follow-ups and triggers | Repetitive sales and support work handled without manual intervention | 40% workflow efficiency increase |
| AI lead scoring on the sales pipeline | Teams work the prospects most likely to convert first | 15% higher conversion rates |
| Centralised CRM and multi-branch administration | Consistent processes and branch-level visibility from one place | 20% operational improvement |
| Unified workspace with real-time analytics | One product covering the customer lifecycle instead of several tools | 98% customer satisfaction |
Stack
What it's built on
The actual technologies, not feature names with icons attached.
Frontend
- React.js
- Next.js
- Responsive UI frameworks
Backend
- Node.js
- Nest.js
- Microservice architecture
- REST API
Data, AI & infra
- AWS
- Cloud-based deployment
- Scalable hosting architecture
- Secure database systems
- Machine learning workflows
- Google Gemini
- ChatGPT
- Claude
Integrations
- Gmail
- Microsoft Outlook
- Google Calendar
- Forward API
- Zapier
- Webhooks & APIs
Full case study
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