Digital systems built for actual work.

The challenge

Businesses needed a reliable AI caller that sounded natural, collected information accurately, and executed automated follow-ups without human involvement.

What we built

Built the Boostle AI Voice Caller System to conduct natural conversations, ask structured qualification questions, write clean data into CRMs, trigger workflows and scheduling, and operate consistently outside normal business hours.

The challenge

Agencies spent hours generating, approving, and publishing content manually across multiple brands.

What we built

Built a campaign system with AI-assisted posts using brand templates, approve/reject/reschedule workflows, calendar and content inbox views, multi-brand publishing, and automated error handling.

The challenge

A real estate client was losing qualified leads because enquiries arrived after hours and responses were delayed.

What we built

Designed and built an AI Voice Agent that answered calls, held structured conversations, captured details, validated intent, and wrote data into the client's CRM. The agent supported qualification, discovery questions, bookings, and follow-ups.

The challenge

Real estate companies struggled with inconsistent CRM data quality across large record sets.

What we built

Created a multi-agent system with an orchestrator, a data intelligence specialist for cleaning and validation, a CRM specialist for controlled operations, plus approval flows and audit logging.

The challenge

A support team needed faster, more reliable responses without increasing headcount.

What we built

Built a WhatsApp-based AI support system that interprets natural-language requests, executes approved n8n workflows, retrieves or updates customer data, handles follow-ups, and uses defined fallbacks when errors occur.

The challenge

A sales recruitment company needed to screen a high volume of job applicants without overwhelming staff.

What we built

Built an AI caller workflow that contacts applicants, guides them through a structured application conversation, confirms work history and availability, stores responses, and notifies staff about next steps.

The challenge

Forensic teams needed practical AI use cases tailored to forensic science workflows because generic AI guidance did not provide enough operational detail.

What we built

Built a specialised forensic AI system using curated forensic science material. It generates use cases for practitioners, suggests workflows and automations, and explains where AI may support analysis and investigation.

The challenge

Businesses wanted to use AI but lacked clarity about which opportunities to prioritise.

What we built

Delivered a structured AI audit that maps workflows, identifies pain points, highlights promising use cases, provides an implementation blueprint, and includes a focused proof-of-concept build where appropriate.

The challenge

Businesses needed tools matched to their workflows rather than generic off-the-shelf software.

What we built

Built targeted internal tools including multi-brand administration apps, media management systems, API-driven dashboards, scheduling systems, authentication and permissions, and responsive user interfaces.