Braze is the lifecycle platform we reach for when the messaging volume, complexity and real-time requirements push past what general-purpose tools can handle. Agentic AI travel is one of those use cases. Stitch was selected as the lead Braze partner for Serko AI, alongside Braze's own onboarding team, and shipped the full lifecycle layer in six weeks.
Braze guides
Guides, tools and benchmarks →
- Braze vs Customer.io: A Consultant's Comparison
- Braze data residency in Australia and New Zealand: what AU-01 means
- Connecting Braze to Snowflake, Databricks and BigQuery with Cloud Data Ingestion
- How Braze pricing works (and how to budget for it)
- Braze implementation checklist and timeline: a 12-week plan
- Migrating to Braze from Salesforce Marketing Cloud, Klaviyo or HubSpot
- BrazeAI Decisioning in practice: what it is and when it's worth it
- ANZ customer engagement benchmark 2026: what the Braze data says, and what to do about it
Featured Braze work
Capabilities on Braze
- Full Braze implementation, including Web SDK, Transactional API and Liquid
- Data Warehouse to Braze via Cloud Data Ingestion
- Server-side integration via GTM
- Two-way agentic agentic SMS, whatsapp, on page and in-app messaging
FAQ
What is Stitch's Braze credential?
Braze Alloys Solutions Partner, Orbit tier. Lead Braze partner on the Serko AI build, working alongside the Braze onboarding team.
How fast can Stitch stand up Braze?
The Serko AI lifecycle layer shipped to production in six weeks, including dual-sender architecture, Transactional API and Liquid personalisation.

