AI & Intelligence/AI Agents & Solutions

AI Agents, built around how you recruit.

Aramo will design, deliver and operate agent solutions for your recruiting workflows and systems — with governance you configure, on the Talent context the platform already keeps.

Talk to the AI Agents teamSee use casesOn the roadmapPer engagement
Agent run · Submittal prep · REQ-4821IllustrativeOn the roadmap
ReadRequisition brief, client policy pack, 3 shortlisted Talent recordsScoped read · logged
PlanDraft 3 submittal packages; flag M. Reyes rate conflictPlan shown to recruiter
ActAssemble documents, fill client template, schedule reminderWithin configured action scope
Approval gateSend to clientRequires account manager approval
AuditEvery step written with inputs, outputs and approverRun log
How an agent run will look. Not a deployed configuration.
Use cases

Where agents will earn their place.

Starting points we scope with each organization, shaped to its systems, policies and approval model.

Per engagement

Requisition intake

Will turn VMS and inbox requisitions into structured briefs for approval, and route them to the right desk.

Per engagement

Sourcing refresh

Will re-check the pool for open requisitions and propose updates to Talent context from new evidence.

Per engagement

Submittal preparation

Will assemble client-ready packages from evidence and templates, and hold them for approval before send.

Per engagement

Onboarding readiness

Will track pre-start requirements, chase outstanding items and escalate blockers before start dates.

Per engagement

Compliance monitoring

Will watch for expiring authorisations and policy changes across active placements.

Per engagement

Systems operations

Will keep VMS, HRIS and client systems in step with the platform.

Configurable governance

You will decide what an agent may do.

On the roadmap

Action scopes

Which systems and records an agent may read, draft in or act on.

On the roadmap

Approval thresholds

Which actions run automatically and which wait for a named approver.

On the roadmap

Data boundaries

What leaves the organization, what reaches a model and what is retained.

On the roadmap

Run log

Inputs, outputs, approvers and timings for every run, kept with the records it touched.

How an engagement will run

From discovery to operated agents.

  1. 01DiscoverWorkflows, systems, controls
  2. 02DesignAgent scope, approvals, data model
  3. 03DeployIntegrated and tested with your team
  4. 04OperateMonitored, tuned, reported

Timelines and commercial terms are set per engagement.

Bring us the workflow.

A scoping conversation with the AI Agents team: your systems, your controls, a first agent to explore.