Summary
The client manages repetitive CRM work across connected tools, APIs and communication channels.
The solution became an AI workflow automation system with CRM connections, AI steps, follow-ups and monitoring in one place.
The software is made to automate lead handling, follow-ups and business processes.
Client story
The client is an AI automation agency from Norway. It creates workflow systems for businesses and connects CRM, communication and operational tools.
Its work involves lead qualification, CRM updates, follow-ups, customer communication and internal processes. Repetitive steps across separate systems cost the team time and make consistent workflow control harder.
The request was simple: design and implement AI-powered workflows, connect CRMs with business tools and automate customer communication.
The solution was shaped as a modular system with a workflow builder, lead queue, communication queue and monitoring area. Special attention was paid to editable connections, AI-assisted decisions, error handling and documentation so the client team could manage the system.
The client asked for
- Design AI workflows for repetitive, multi-step business processes
- Connect CRMs, tools, APIs, databases, email and calendars
- Automate responses, follow-ups, notifications and appointments
- Use AI to classify data, extract fields and answer customers
Why ready-made software did not fit
Ready-made products in this area focus on separate parts of the task, such as hiring, interviews or candidate screening. They may lack AI agents, CRM automation, custom APIs, webhooks and cross-system actions together.
Project overview
The solution was designed around a visual workflow builder. It connects triggers, actions and AI steps.
CRM records, APIs and webhooks connect the business process in one place.
The lead area brings qualification, scoring and routing together. AI classifies incoming information, updates CRM records and shows the next communication action.
The communication queue handles personalized responses, email and SMS. The client team sees messages, schedules and CRM context together.
A dedicated monitoring area checks workflow runs, validation results and errors. Retry and troubleshooting actions help the team review what happened and tune rules over time.
The system was structured as modules, so new forms, automations and integrations can be added later without rebuilding the whole application.
Key features delivered
- AI-powered workflow builder
- Lead qualification and scoring
- CRM record updates
- Lead routing
- Automated email and SMS follow-ups
- Personalized response drafts
- API and webhook connections
- Appointment scheduling support
- Workflow monitoring and error checks
- Human handoff controls