Valistry

A boundary before a surprise.

Owners, envelopes, policies and approvals around AI usage, so teams move fast without cost and value drifting apart.

  • Every workload has an owner
  • Backtest before enforce
  • A record of each decision
Policy Centersample org
Policy Center: templates, backtests and the ladder

Why Control

Control should make adoption faster.

Teams know the boundary, the owner and the escalation path. Finance gets predictability, not an approval queue.

The ladder · enforcement is earned, not implied

  1. 01ObserveRecord the breach. Nothing changes for runs.
  2. 02WarnNotify the owner. Runs continue.
  3. 03 · todayRequire approvalRuns past the boundary queue for the owner. 2,734 would wait.
  4. 04EnforceRuns are refused. Reversible by raising the threshold.

Envelopes · monthly

80%

of spend under a policy with an owner

  • Draft-reply agent111% of $18k
  • Triage agent57% of $3k
  • Knowledge search39% of $1k
  • Escalation summarizer24% of $1k

Defaults come from the ledger’s own history. One breach, caught by the backtest.

  • 2 of 4 agents owned

    Ownership

    Two agents have no business owner. The registry names the gap rather than assigning one, and the envelope still holds.

  • 1 breach, caught early

    Envelopes

    Budgets and thresholds around teams, agents and workflows, set from the ledger's own history.

  • 0 blind switches

    Policies and approvals

    Templates with data-derived defaults, a backtest before they switch on, and a record of each decision.

Scope

Economics and accountability. Nothing else.

Valistry governs what AI costs and who answers for it. Security, privacy and model risk stay with the systems built for them.

  1. Governs

    Spend, envelopes and unit cost.

    Who owns a workload, what it may cost, what a successful outcome should cost, and who approved the exception.

  2. Governs

    The record of each decision.

    Owner, evidence, exception and expected value, appended to the same ledger the number came from.

  3. Complements

    Security, privacy, model risk.

    Those systems keep their own controls. Valistry reads usage metadata only, never prompts, and never gates a model on content.

How Control works

Three screens, one boundary.

An envelope, a rule tested against history, and a record of every exception.

4 agents · an owner, an envelope and a mode1 over envelope
AI Estate: agents with an owner, an envelope and a mode
5 templates · defaults from your own ledgerbacktested before live
Policy Center: templates, backtests and the ladder
2,734 runs · would queue for R. Mehtafrom the backtest
Approvals: what a require-approval policy would have queued, and on what evidence

Make every AI dollar accountable.

A 30-minute demo on your own estate, or connect one source and define your first AI policy in observe mode.

With the loop closed, any question about the estate has one grounded answer.

Next: Ask Valistry