
Automation for the middle of a process
An agent demonstration built around triage, enrichment and routing — with escalation treated as a feature rather than a failure.
- AI Agents & Workflow Automation
- Software & Product Engineering
- Conversational AI

Technology & Automation
What this is
We build and maintain integrations: CRM and marketing platform connections, ERP and finance synchronisation, payment and logistics providers, custom APIs, webhooks and the middleware that keeps it all reconciled.
When the same customer exists in four systems, none of them is correct. Integration is less about efficiency than about having a single version of the truth to make decisions from.
Every field needs one authoritative source. Without that, syncing just spreads the disagreement faster.
Third-party APIs go down. Retries, queues and dead-letter handling are what keep data intact.
A sync you cannot inspect will fail silently, and you will find out from a customer.
Use cases
Customer data disagreeing across CRM, finance and support
Orders re-keyed between commerce and ERP
Marketing platforms working from stale lists
Exposing an API for partners or customers
Replacing a fragile automation nobody trusts
What this is
Technology
Integration
Platforms
Relevant work
How it runs
Every system, what it holds, and which one should own each field.
Sync direction, frequency, conflict rules and failure behaviour agreed upfront.
Integrations with validation, retries, logging and alerting from day one.
Visibility into what synced, what failed and what needs attention.
What it should achieve
One agreed version of customer and order data
Manual re-keying removed from daily work
Failures visible immediately rather than eventually
Systems that can be added without rework
Related capabilities
Questions
Usually. Database-level integration, file exchange or a middleware layer can connect legacy systems where no API exists.
Scopus assistant
Simulated — scripted, not a live model