Standing Watch — Cross-Platform AI Agent Verification & Evidence
Every platform ships its own governance pane. Standing Watch is a cross-platform layer that verifies agent behavior and composes one evidence record across them, on top of whatever control plane you already run — built and run on Tioga's own cross-platform infrastructure. We review across platforms, and we disclose that our own agent-building work is built on Claude. Tioga may use credits from a vendor's startup program, such as Anthropic's, and discloses any vendor relationship it has. This is a static positioning document, not a live data feed; every quote and stat below is sourced inline.
01 — The estate today: four self-claimed “layers of record”
Standing Watch — six disciplines, cross-cutting
QualifyArbitrateGateProbeTrackReview
SAP
AI Agent Hub
“governance layer of record for the enterprise agent ecosystem”
SAP CTO Philipp Herzig, SAP News, Aug 2026
Workday
Agent System of Record
“the single source of truth for all of an enterprise's AI agents”
Workday ASOR GA blog, blog.workday.com
Databricks
Unity AI Gateway
“a unified governance layer for both AI assets and AI interactions”
Databricks blog, Data + AI Summit 2026 (Jun 2026)
ServiceNow
AI Control Tower
“we manage them where technically possible”
ServiceNow product leadership, per Techzine Global reporting, May 2026
Each quote is the vendor's own verified language, not Tioga's characterization — verified 2026-08-10.
02 — The six disciplines
Qualify
Capability floors enforced at routing time — no agent absorbs a task class it hasn't been measured competent for.
Arbitrate
Cross-vendor AI spend compared on one defensible cost basis, even across non-fungible budget types.
Gate
Tiered autonomy with a hard human ceiling — propose-and-approve, never auto-applied to live configuration.
Probe
The same behavioral check run identically across every system in scope — live calls, not trusted dashboards.
Track
Findings live in an aging ledger — nothing clears without machine re-verification or explicit human resolve.
Review
The vendor/model estate is re-evaluated on a fixed cadence against pre-committed criteria.
Nothing clears silently; the estate stays current with a dated paper trail
04 — The pain point, in citable numbers
13%
of organizations believe they have the right governance in place to manage AI agents
Gartner estimate, cited in SAP News Center, Aug 3, 2026
94% / 12%
of surveyed organizations concerned about AI sprawl / have a centralized platform to manage it
OutSystems research, Apr 2026, nearly 1,900 global IT leaders (third-party survey)
05 — Engagement ladder
Standing Watch Assessment
Reconciles the agent inventory you already have (Tioga does not compete with discovery tooling), plus a qualification register, spend arbitration baseline, first behavioral probe run, and a seeded findings ledger you keep.
$15–35K
3–4 weeks
Standing Watch Build
Implements the propose-and-approve gating layer and behavioral probe harness in your environment, on your credentials.
$60–150K
8–16 weeks
Standing Watch Retainer
Router-watch and security-watch as a service, generalized to your estate — weekly watch runs, monthly ledger review, quarterly evidence packs.
$5–15K/month
Ongoing
Tioga AI — Standing Watch is a single-operator, personal-infrastructure-scale implementation of these disciplines, run on Tioga's own cross-platform estate — not a claim of Fortune 500-scale deployment. See the live pages: tioga.ai/solutions/standing-watch, tioga.ai/demos/standing-watch, tioga.ai/engineering/standing-watch.