AI & decision systems
AI decision systems that resolve exceptions and cut losses
Rules, models and agents that take repetitive decisions and exceptions off your team, with a person where the consequence calls for one and an audit trail behind every call.
| The business problem | Exceptions resolved by hand, approvals that wait days, and decisions nobody can explain to an auditor later |
|---|---|
| What we build | Decision engines (explicit rules plus models), AI agents in production, workflow automation and anomaly detection |
| Where it applies | Credit and risk, claims, procurement, reconciliation, customer operations and other high-volume decisions |
| Proof in production | Banco BMG: +30% credit conversion. Movida: +40% in bookings with an agent live in the flow |
| How it starts | A Discovery + PoC from $18,000, with the success criteria agreed before any build |
What changes in the numbers
A decision system pays for itself in three places: fewer hours spent on manual review, fewer losses from wrong or late calls, and a shorter cycle between the event and the decision. Before we build, we size all three: what the problem costs today, what solving it costs, and the net benefit.
Deterministic where the policy is explicit
Your policy stays explicit code that your team can read and change. Models sit next to it where they add real signal, never as an unreadable black box. Above the consequence threshold you set, the system hands a person the evidence instead of deciding alone.
Agents, when the work is to act
When the decision has to become an action inside your systems, we build enterprise AI agents with scoped permissions, evaluation on real traffic and a log of everything they do. See how this works in credit decisioning.
Frequently asked questions
What is an AI decision system?
Software that takes a business decision or resolves an exception using explicit rules, statistical or AI models and, where needed, a person, and records why each decision was made.
Does it replace our analysts?
No. It takes the repetitive volume and the evidence gathering off them, and routes the cases that matter to a person with the evidence attached.
How do you measure the benefit?
Before the PoC we agree a baseline and a target for the metric that carries the money, such as hours of manual review, loss rate or cycle time, and the PoC is judged against it.
Can you explain every decision?
Yes. Every decision traces back to the rule, signal or model input that drove it, ready for an internal or external review.
What is the problem costing you today?
Book a 30-minute discovery call. We size the problem, what it costs to solve and the net benefit.
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