Agent build · personalisation & decisioning
The next best action, chosen inside your existing journey.
A decisioning agent selects the next asset, offer or journey step using your data, eligibility rules and approved content. It works inside the personalisation platform you already license.
Scope this buildTypical build
4 weeks
Runs
Per interaction
Human review
Guardrails
New platforms
None
What it does from day one
Defined steps, every run, logged
It respects eligibility first
Hard rules and exclusions are evaluated before any recommendation is considered.
It ranks approved options
Only approved assets and offers can enter the decision set.
It logs each decision
Inputs, candidate options and the chosen action remain available for review.
What it connects to
If a system has an API and an owner who will grant access, we can connect it. Where one does not, we say so in scoping rather than after.
Governance on this build
Audit trail
Every run, input, decision and confidence score is written to a log your team can query.
Human in the loop
Defined thresholds decide what the agent does alone and what goes to a named person.
Data boundaries
Your data stays in your tenancy. Access is scoped, logged and revocable per system.
Cost control
Usage budgets and alerts are set per agent, making spend visible before it drifts.
Bring one customer journey and its decision rules.
We will map which steps an agent should handle, which need a person and what the build would take. An engineer is in the room, not a salesperson.
What we will ask you