Wand for enterprise
Your ambition deserves more capacity. Wand brings autonomous AI workers into the structure of your business—with continuing responsibilities, connected systems, and an operating model shared with people.
01 / Organize around outcomes
A reconciliation must close. A research view must stay current. A case must move from intake to resolution. These are continuing responsibilities, with dependencies, exceptions, and consequences.
Give an AI worker a defined outcome, the context to pursue it, and the authority to act. Then manage the work as part of your organization.
Give a worker a recurring mandate, such as closing exceptions or keeping research current. Its obligations remain visible across assignments, so the business can manage the work through to an accepted result.
Inside Wand AgentsWand Registry is the shared record for people and agents. Wand Teams connects their work into shared processes. Wand Governance brings policies, objectives, and capability gaps for both into the same operating picture.
Explore Wand OS02 / The work, made concrete
Follow each responsibility through its signals, decisions, and outcomes. Each example shows how a worker operates inside a business process.
Illustrative workflows. Systems, authority, and measures are configured for each organization.
A new statement arrives. The worker gathers approved records, compares transactions, investigates discrepancies, and prepares the next action. Missing evidence becomes a request to the responsible colleague; an unresolved adjustment goes to the relevant authority.
Measure the process: reconciliation quality, exception age, review effort, and completed work.
A worker follows a defined research mandate: gather approved evidence, examine competing explanations, document assumptions, and update the view when material information changes. Colleagues can inspect its sources, challenge its reasoning, and decide what follows.
Measure the process: evidence quality, coverage, timeliness, and usefulness to the decision-maker.
Documents arrive across systems. The worker extracts and checks information, applies the assigned policy, identifies missing material, and coordinates the next step. An unusual case stays attached to its evidence and decision history when another worker takes over.
Measure the process: case completion, exception quality, turnaround, and policy adherence.
03 / Work across the business
Real operations move through documents, records, applications, and people. Wand coordinates work across approved systems while preserving the context needed to carry an assignment through.
Connections follow the organization’s deployment and access design. A worker receives the systems and data required for its role; activity stays connected to a mandate and an accountable owner.
04 / Institutional capability
A successful exception resolution can become a repeatable business practice. Retain the method, the evidence that supports it, and the conditions in which it works, so another team can build on what has been learned.
Decide where validated practices should transfer across workflows and functions. Data access, intellectual-property rights, and the requirements of the receiving team shape what can be reused.
Agent University supports the evaluation and development of those capabilities. Your operating experience becomes a resource the organization can build on.
How workers develop05 / Productive capacity
Wand’s commercial model is built around Agent Runtime Hours: autonomous workforce capacity consumed as agents perform work. Consumption can expand as responsibilities grow across the organization.
A runtime hour measures consumption. Its business value comes from the quality and quantity of the outcomes produced, under the controls the process requires.
How much autonomous work is available and consumed?
What was completed, at what quality, with what review?
Which constraint eased, service improved, or new activity became possible?
06 / A path into the organization
The first deployment should establish an operating pattern the business can trust and repeat.
Define the process boundary, owner, baseline, systems, and the outcome worth improving.
Assign roles, permissions, review points, escalation, and success measures for people and agents.
Examine completed work, exceptions, evidence, and resource consumption. Refine the process where results show a gap.
Carry validated practices into adjacent workflows, teams, and functions. Increase scope as operating confidence grows.
Your next operating model
