Govern and scale your city’s AI—safely and for impact
One place to see every operating AI, enforce guardrails in real time, and coordinate agencies to deliver measurable outcomes for residents.
The problem
Cities are running dozens of AI systems—traffic cameras, chatbots, fraud scoring, noise enforcement, digital twins—across different agencies and vendors. Leaders lack a single view, changes aren’t traceable, risks hit the news before dashboards, and publishing model cards/AI registers takes weeks.
The solution
Overlook is your operating layer for city AI. It unifies visibility across all systems, applies live guardrails, standardizes approvals and evidence, and turns cross-agency work into a repeatable playbook—so you can manage risk and deliver results that residents can feel.
The Overlook Operating Layer
Operating AI Record
Single, living record for each AI/ADS: purpose, owners, data, locations, KPIs, risk tier, incidents, decisions, evidence.
AI Impact & Risk Scores
Comparable scoring across very different systems with thresholds and trends.
Mission Control Guardrails
Rate-limit, pause, advice-only, geo/time scopes, human sign-off—without ripping out vendor systems.
Scenario & Fairness Testing
Ideal behaviors, edge cases, spikes, language variants, equity tests—pre-rollout and on updates.
Change Approvals & Evidence Locker
Plan → Approve → Execute with immutable artifacts. FOIA/model-card export.
Cross-Agency Workspaces
Roles and tasks for CIO/CDO, ops, legal/risk, comms, vendors; incidents and playbooks.
How it works
Discover
Time to value: days- Ingest registers, procurement, SLAs, telemetry, ownership
- Auto-build the Operating AI Record
Stabilize
Time to value: <30 days- Wire live metrics for 2–3 high-impact systems
- Enable guardrails and recourse queue
Assure
Time to value: weeks- Add scenario/fairness tests and approvals
- Automate evidence, publish model cards
Scale
Time to value: ongoing- Expand to remaining systems; quarterly review rhythm
- Vendor governance and simulations
Focused playbooks for city AI
Mobility
KPIs: precision/recall, dwell time, corridor equity, incident detection latency.
Guardrails: switch ticketing→warning if precision dips; school-zone dayparting; random human review sampling.
Scenarios: glare/night/rain occlusion, event surges, roadworks.
Citizen Services
KPIs, guardrails, and scenarios tailored to service bots and portals.
Enforcement & Compliance
Controls for CV enforcement, escalation, evidence handling, and fairness.
Benefits & Justice
Risk and fairness controls for scoring and adjudication pathways.
City Ops & Twins
Simulation, planning, and digital twin governance with telemetry hooks.
See what operational visibility looks like
Portfolio map
Tiles by agency with risk colors
AI detail page
Owners, KPIs, guardrails toggle
Change log
Approvals & evidence
Model card / AI Register
Export preview
City-specific quick wins
New York City
Centralize evidence for noise citations; borough-level skew monitors; “warn-only” while tuning; one-click model cards.
TfL (London)
Portfolio for ODX/ITAP/vision/redaction; regression/privacy tests; staged approvals per line/depot.
Amsterdam / Helsinki
Auto-update public registers from Overlook; attach test results and fairness audits; public recourse links.
Washington, DC
Import ADS inventory; fairness guardrails and owner SLAs; oversight-packet generation.
Dubai / Hangzhou
Wrap vendor ITS/twins with guardrails, KPIs, approvals, and simulation gates.
Singapore
Unify VICA/chatbots, LTA ops, NParks twin; multilingual scenario tests; citizen-impact KPIs.
Integrations
311/CRM, CAD/AVL, CCTV metadata, IoT hubs, data catalogs, SIEM, ticketing/fines, HR/IdP, contracts/SaaS, public AI registers.
Security & privacy
SSO/RBAC, immutable Evidence Locker, data-minimizing ingestion, residency controls, audit trails, SOC2 posture.
What you’ll implement
Operating AI Record
- Auto-discovery + normalization
Guardrails & Approvals
- Live controls + change workflow
Testing & Fairness
- Scenario library + equity dashboards
Transparency Suite
- Model cards + register publishing
Vendor Governance
- SLAs, drift, clause-linked incidents
90-day launch plan
Pricing / procurement
Contact us for a city-wide subscription with tiering by number of active AI systems and agencies. We’ll scope integrations during discovery.
What does Overlook govern?
Any operating AI or automated decision system—vision, NLP, scoring, simulation, digital twins, and vendor platforms.
Do we have to centralize data?
No. Overlook is metadata-first. Where telemetry is needed, we ingest minimal signals and keep your data where it lives.
How do guardrails work with vendor tools?
We integrate via API/webhooks/logs and control decision pathways (e.g., warn-only, human-review queues, geo/time scopes).
Can we export model cards and keep an AI Register up to date?
Yes. Model cards and register entries are generated directly from the Operating AI Record with change history attached.
What about fairness and recourse?
Equity dashboards track subgroup performance; recourse flows route citizen appeals to human reviewers with SLAs and learning loops.