Half your customers will talk to your brand through an AI agent this year. We use Braze and BrazeAI™ to turn that shift from existential threat into your unfair advantage — across Acquire, Engage, and Retain.
The same campaign, decisioned by AI per user — channel, time, content, offer. Each customer gets the message that lands. The rest get silence, which they prefer.
It's happening this year. Braze just shipped the platform to do it well. The question is whether you wield it — or get crushed by competitors who already do.
of consumers will use AI agents to interact with brands by the end of 2026. More than double, in twelve months.
2026 Braze Customer Engagement Review · 4,000 consumers, 15 markets
Most brands assume AI is working. Their customers feel otherwise. The brand that closes the gap wins. The brand that doesn't is just one more push notification in a sea of noise.
of marketing leaders think AI helps them accurately understand customer needs.
of consumers feel brands actually predict what they want.
The 40-point gap is the entire commercial opportunity in AI marketing right now.
Three new capabilities, GA April 2026. Together they turn marketers into AI operators — without learning Python, filing tickets, or waiting on engineering.
Generates content, drafts campaigns, builds custom agents, troubleshoots workflows — all in plain English, inside the tool your team already uses.
A centralised environment to build, manage and deploy AI agents that generate content, interpret data, and adapt campaigns in real time as users behave.
First-to-market AI decisioning, now on Google Cloud Marketplace. Predicts purchase intent, churn risk, and optimal next action — per user, in real time.
"Personalisation at this level used to require significant manual workload. Now it happens at the moment of send."
— Dayuse · Braze customer
BrazeAI Operator drafts onboarding flows tailored to each signup's signals. The Cleo pattern: 81% drop in unsubscribes, 284% lift in app opens, 97% fewer first-email opt-outs.
Decisioning Studio classifies anonymous visitors and known leads by purchase probability the moment they arrive. Spend ad budget on people who'll actually convert.
Coordinate paid ads, web personalisation, email and push as one conversation per prospect — not five disconnected campaigns from five different teams.
Agent Console writes the welcome email at send time — using booking history, browse signals, geography, preferred language. Each customer gets a different first impression.
Each message rendered at the instant of delivery — informed by current basket, weather, booking, location. The Dayuse pattern: 90% lift in booking conversion, doubled incremental revenue.
Stop guessing whether email or push works better. Decisioning Studio picks per-user, per-message — measured against the outcome you care about (open, click, conversion, revenue).
Agent Console agents drive transactions over chat — answer questions, surface catalogue items, complete bookings without the customer leaving the conversation.
Agents watch engagement streams in real time. Pause variants that underperform, scale variants that work, attribute revenue back to the cohort and channel that earned it.
Decisioning Studio flags users tipping toward churn 30 days out. Agent Console fires a personalised retention sequence in the user's preferred channel, in their language, with the right incentive.
Instead of one generic "we miss you" blast, AI drafts a tailored re-engagement for each dormant user — reflecting their past behaviour, last purchase and brand affinity.
Forget tier-based static rewards. AI selects the offer most likely to drive the next visit — for THIS member, this week. Loyalty becomes a per-customer programme, not a brochure.
Six months silent? AI picks the optimal touchpoint (push? email? WhatsApp?) and the optimal moment. One in ten dormant customers will come back. The other nine won't be irritated.
AI decisioning is only as good as the signals feeding it. Most brands have data trapped in silos. We unify event streams, CRM, product catalogues and historical engagement into one Braze profile AI can actually reason over.
Operator and Agent Console are powerful, but not self-serve. Custom agents need prompts, guardrails, evaluation, and the journey logic to bind them into a real customer experience. That's where partners earn their keep.
Probabilistic systems need governance. PDPA in Singapore, PDPM in Malaysia, GDPR-equivalents across SEA. We build the guardrails so AI personalisation never tips into the uncanny — or the unlawful.
The partner that closes data, activation and trust gaps is the partner that turns BrazeAI from licence cost into revenue line.
Each tier compounds: the diagnostic informs the sprint, the sprint earns the retainer.
Inventory of every customer signal you collect. Data readiness scoring, agent-ready use case ledger, PDPA audit. You walk away with a ranked roadmap and ROI ranges per use case.
One lifecycle vertical, one breakthrough use case, end to end. Decisioning Studio modelled, Agent Console agents built, Canvas journeys wired, Operator workflows trained for your team. KPIs live.
We run your Braze AI estate. Continuous agent tuning, decisioning model drift monitoring, content quality review, channel mix optimisation. You compound — we share the outcome.
Certified Canvas, Catalogues, Connected Content, Decisioning Studio. Multi-region implementation muscle.
Singapore, Malaysia, Thailand. PDPA-fluent, multilingual content, attuned to mid-market budgets.
Gain-share, per-conversion, per-revenue-incrementality. Pricing that follows your KPI.
We were building agents before agents were the brief. BrazeAI is the third platform we've put into production.