Systems we design and build.

02Capability blueprints

How we'd approach five common problems.

Illustrative system designs — not client engagements. Each shows the problem, our approach, the technology and what the system is designed to achieve.

1. Blueprint 01 / 05 · AI agents

   AI Customer Support System

   Problem

   A support team answering the same order, policy and account questions across web chat, email and WhatsApp, with complex cases waiting behind routine ones.

   Approach

   1. 01Knowledge base restructured for retrieval, with source citations
   2. 02Agent tools for order lookup, changes, returns and ticket creation
   3. 03Confidence thresholds and human escalation to a shared inbox
   4. 04Transcript review loop to improve answers over time

   Technology

   • LLMs
   • RAG
   • Vector database
   • Helpdesk API
   • WhatsApp Business Platform

   Intended outcome

   Routine requests resolved end to end by the agent; people handle exceptions with the full conversation in front of them.

2. Blueprint 02 / 05 · Automation

   Business Workflow Automation

   Problem

   Enquiries arriving through WhatsApp and forms, copied into spreadsheets, followed up manually and reported on by hand every week.

   Approach

   1. 01Single intake pipeline for every channel
   2. 02AI qualification and structured data extraction
   3. 03Automatic CRM updates, assignment and follow-up scheduling
   4. 04Scheduled reports generated from live data

   Technology

   • Workflow engine
   • LLMs
   • CRM API
   • PostgreSQL
   • Webhooks

   Intended outcome

   Every lead captured and followed up consistently, with no re-typing and reports that build themselves.

3. Blueprint 03 / 05 · Integration

   Enterprise Integration Platform

   Problem

   An ERP, a CRM, an e-commerce platform and several spreadsheets each holding part of the truth, synchronised by staff exporting and importing files.

   Approach

   1. 01Data ownership defined per entity
   2. 02Event-driven integration layer with idempotent processing
   3. 03Monitoring, alerting and safe replay for failed syncs
   4. 04Secure API over ERP data for new applications

   Technology

   • SAP / ERP interfaces
   • Go
   • Message queues
   • PostgreSQL
   • Observability stack

   Intended outcome

   Records entered once and propagated reliably, with failures visible and recoverable instead of silent.

4. Blueprint 04 / 05 · Voice AI

   AI Voice Assistant

   Problem

   A front desk overwhelmed by calls for bookings, directions and routine questions, with calls missed at peak times and after hours.

   Approach

   1. 01Low-latency speech pipeline with natural voice
   2. 02Calendar tools to check, book and reschedule during the call
   3. 03Transfer rules to route callers to the right person
   4. 04Call summaries logged to the CRM automatically

   Technology

   • Speech-to-text
   • Text-to-speech
   • LLMs
   • Telephony API
   • Calendar API

   Intended outcome

   Routine calls answered at any hour, staff freed from repetitive calls and every call recorded with an outcome.

5. Blueprint 05 / 05 · Custom software

   Internal Operations Platform

   Problem

   Jobs, approvals and inventory tracked across shared spreadsheets and chat groups, with no audit trail and knowledge concentrated in a few people.

   Approach

   1. 01Structured records for jobs, requests and assets with clear statuses
   2. 02Role-based access, approvals and a complete activity log
   3. 03Notifications and scheduled checks for overdue work
   4. 04Live dashboards generated from operational data

   Technology

   • Next.js
   • TypeScript
   • PostgreSQL
   • Background jobs
   • Role-based access

   Intended outcome

   One reliable system of record for operations, with accountability built in and reporting on demand.