CONTROL PLANE FOR ACCOUNTABLE AI AGENTS

AI agents are easy to demo.
We make them safe to deploy.

UphillSnowball wraps managed agents with policy gates, identity-bound receipts, bounded actions, recovery, and audit evidence, so security, legal, compliance, finance, and operations can approve the same system.

Book a 20-minute architecture call See the live proof
  • Policy-gated
  • Identity-bound
  • Replay-safe
  • Observable
  • Recoverable
  • Auditable
The deployment problem

Demos do not survive contact with an institution.

An agent that can talk is not an agent that can act. The gap is authority, identity, recovery, and evidence — the hydra of problems that appear the moment a demo becomes a deployed system.

Control grid

The heads of the hydra

UphillSnowball is the control plane for those problems. It produces evidence and controls that support compliance review. It does not claim a certification, insurance policy, or SLA it cannot show.

Authority

Who is allowed to do what? Policy gates, bounded capabilities, Judge6 decisions.

Identity

Which agent, model, revision, and operator acted? Identity-bound receipts and runtime readback.

Security

Can prompts or tools escape the intended boundary? Capability isolation, secret separation, fail-closed validation.

Reliability

What happens after a timeout, restart, or partial result? Durable resume, idempotency, replay and recovery.

Auditability

Can the institution reconstruct what happened? Signed receipts, exact SHAs, traces, evidence lineage.

Compliance

Can legal, finance, security, and operations review the same evidence? Shared control and evidence plane.

Interoperability

Can multiple managed agents coordinate safely? A2A-compatible, exactly bounded routing.

Observability

Can operators understand live behavior? Tracing, analytics, incident evidence and health surfaces.

Cost

Is context and model usage predictable? Model routing, context caching, task profiles and budgets.

Rollback

Can the system be stopped or reversed? Canary promotion, prior revision rollback, effect boundaries.

Architecture

Managed agents do not call each other in the dark.

Every handoff is a decision. Judge6 is a deterministic policy gate, not an autonomous agent.

Managed Agent A → Judge6 → conditional Managed Agent B → Judge6

What gets proven

Receipts, not slogans.

A usable proof names the actor, the bound, the decision, the exact SHA, and how to replay it. That is the evidence security, legal, and operations can share.

Use cases

One system, five reviewers.

Security

Capability isolation and fail-closed tool bounds before an agent can act.

Legal

Identity-bound receipts that reconstruct who did what, with which revision.

Compliance

Shared evidence that supports review. Not a claimed certification.

Finance

Task profiles and budgets so model spend is a controlled input, not a surprise.

Operations

Resume, rollback, and health surfaces after timeouts and partial results.

Reliability

Recovery is part of the product.

Timeouts, restarts, and partial results are expected. The system records them, resumes when it is safe, and can roll back a canary to a prior revision.

Trust

Evidence first. Counsel reviews the rest.

The trust center is the public place for security, privacy, and process. Legal drafts stay marked as drafts until counsel review.

Open the trust center
Live proof

See the chassis, not a sales deck.

Public Live Proof uses synthetic data. Operator consoles stay behind authentication.

Open Live Proof
Contact

Book a 20-minute architecture call

Work email only. Same material payload returns one synthetic receipt. No tenant is created and no card is charged.

Updates

Resources

Status · Security · Trust