Start from the process that hurts: a review queue, a reporting cycle, a reconciliation backlog. The platform is shaped around the work, not the other way round.
Regulation, data residency and review expectations differ by sector. The deployment model, access policy and evaluation set follow your sector.
Financial services
Credit, risk and client operations where every recommendation needs a defensible trail and a named owner.
Credit, portfolio and counterparty risk scoring
AML and transaction review with evidence assembly
Research summaries and client reporting drafts
Typical entry point: a review queue with a measurable cycle time.
Public sector
Case-heavy operations that need clear permissions, residency and reviewability before speed.
Case triage and document review
Policy, records and legislation search
Service request coordination across teams
Typical entry point: a document-heavy process with a review step.
Healthcare
Administrative and operational intelligence, kept inside controlled environments and existing governance.
Clinical documentation support for review
Claims, coding and prior-authorisation review
Capacity, scheduling and utilisation signals
Typical entry point: an administrative backlog with clear review rules.
Telecom
High-volume network and customer operations where anomalies are expensive and time matters.
Network and service anomaly detection
Churn, usage and capacity forecasting
Field operations and ticket automation
Typical entry point: a monitoring workflow with an escalation path.
Use cases
Where the platform earns its place.
Six patterns that repeat across sectors. Each one starts with a process, a baseline and a review point.
Enterprise operations
Reconcile, monitor and report across systems that were never designed to talk to each other.
Often paired with: forecasting, exception routing.
Workflow automation
Multi-step processes executed by agents, with approval gates where money, customers or compliance sit.
Often paired with: document review, system updates.
On-chain and market intelligence
Wallets, entities, flows and market signals interpreted alongside your own operational data.
Often paired with: risk scoring, alerting.
Risk and signal monitoring
Thresholds, anomalies and entity changes watched continuously, escalated into the team that owns them.
Often paired with: case creation, evidence assembly.
Decision support
Grounded analysis for high-context decisions, with sources, assumptions and dissent recorded.
Often paired with: retrieval, scenario modelling.
Document-heavy operations
Contracts, claims, policies and filings reviewed against your playbooks, with a human sign-off.
Often paired with: clause extraction, drafting.
Get a demo
Start with the process that hurts.
Tell us where the queue, the reporting cycle or the reconciliation backlog is. We will tell you whether the platform fits — and what a pilot would measure.