tioga.ai — Standing Watch

Standing Watch — Cross-System AI Agent Governance

Every platform ships its own governance pane. Standing Watch is the discipline that governs across them — built and run on Tioga's own multi-vendor infrastructure. 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.

03 — Mapping: running mechanism → enterprise capability

Discipline	Tioga's running mechanism	Enterprise capability
Qualify	Capability floors enforced at task-assignment time	A cheap or bundled agent can't silently absorb a quality-sensitive task
Arbitrate	One cost basis across non-fungible budget types	Cross-vendor AI spend becomes an auditable decision, not a per-silo default
Gate	Tiered autonomy, propose-and-approve only	Highest-blast-radius actions are structurally unreachable by automation
Probe	The same behavioral check run identically everywhere	Closes the gap vendors admit exists across each other's closed platforms
Track / Review	Aging findings ledger + fixed-cadence vendor reappraisal	Nothing clears silently; the estate stays current with a dated paper trail

04 — The pain point, in citable numbers

13%

believe their governance is adequate

Gartner research, cited by SAP's Aug 2026 agent-sprawl announcement

94% / 12%

concerned about agent sprawl / have centralized governance

OutSystems, ~1,900 IT leaders surveyed, Apr 2026

05 — Engagement ladder

Standing Watch Assessment

Agent inventory, 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 multi-vendor 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.