Smart City & Public Sector

Governed AI agents for cities, utilities, and public infrastructure — cross-domain signal intelligence with a full audit trail designed for the evidence an audit will ask for.

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Smart City Expo World Congress, 3–5 November 2026, Barcelona

Smart City Expo World Congress

Meet us in Barcelona, 3–5 November

Sensors and AI find the anomaly. The alert reaches the right person. Then the documentation stops.

Article 50 transparency applies from 2 August 2026 — people must know when they interact with AI. High-risk obligations under Annex III, deployer duties, and fundamental-rights impact assessments were deferred to 2 December 2027 by the Digital Omnibus. When an alert is assessed, you still need a record: who decided, what was decided, and on what basis — with logs retained and affected people informed where the law requires it.

Copyl Smart City sits on top of the sensors, IoT platforms, and map systems you already have. We replace nothing. We record the signal, the AI agent's recommendation, the decision, and the rationale — and make it auditable afterwards.

Our founder Rolf Bäck will be on site at Smart City Expo World Congress, 3–5 November. Book 30 minutes and we walk through a demo environment built on a real municipal setup. No presentation.

Book a time

Questions before then: [email protected]

How Copyl Signals works for cities — one platform connects every data stream and governs every decision.

Signals

Sensors, APIs, media, financial data, internal events

Correlation

Cross-domain pattern matching across time windows

Insight

Anomaly detected, threshold crossed, pattern matched

Agent Action

Notify, escalate, trigger integration, create report

Audit Trail

Every decision logged and explainable — designed for the evidence an audit will ask for

City Manager City Manager — cross-domain visibility and reporting

Cross-domain incident detection

Signals
Problem
A water main pressure drop, a traffic anomaly, and three citizen reports arrive in separate systems within 20 minutes. No one connects them.
Agent action
A Signals agent correlates the three streams within the configured time window, identifies the pattern as a probable infrastructure event, and opens a priority incident in the city's operations system — flagging the relevant district and infrastructure owner.
Outcome
Incident identified and routed 40 minutes faster than manual monitoring. Full signal-to-action log available for post-incident review.

Regulatory reporting automation

FP&A
Problem
Monthly EU-required operational reports pull from six departmental systems and take three days to compile.
Agent action
Agent assembles KPI data from connected city systems, maps values to the required report template, and stages the draft for director approval in RBAC — no data leaves EU infrastructure.
Outcome
Report preparation drops from three days to same-day. Audit trail attached automatically.

CIO / CTO CIO / CDO — infrastructure intelligence and AI governance

Infrastructure monitoring agent

Signals
Problem
Sensor data from bridges, buildings, and utilities sits in separate vendor portals. Anomalies are missed until a maintenance team visits on schedule.
Agent action
Agent ingests sensor streams via Copyl Signals, applies threshold and trend rules, and escalates anomalies to the responsible infrastructure owner with supporting signal data attached — read-only on all source systems.
Outcome
Anomaly-to-alert time drops from days to minutes. Every escalation logged with the signal values that triggered it.

AI vendor governance

Agent Hub
Problem
The city uses AI tools from multiple vendors. No central view of what each tool is doing, what decisions it is making, or whether it complies with EU AI Act obligations.
Agent action
Copyl acts as the governance layer above existing AI tools — logging every agent action, enforcing policies, and generating compliance evidence for EU AI Act Article 9 risk management obligations.
Outcome
Single audit trail across all AI operations. Compliance evidence generated automatically. No rip-and-replace of existing tools.

Head of Operations Head of Operations — field safety and service continuity

Connected worker safety monitoring

Signals
Problem
Field workers in high-risk environments (construction, utilities, maintenance) carry sensors but safety data is reviewed manually at end of shift.
Agent action
Agent monitors vibration, environmental, and location signals from connected workers in real time. When a risk threshold is crossed, it triggers an immediate alert to the site supervisor and logs the event with full signal history.
Outcome
Safety incidents flagged in real time rather than post-shift. Compliance documentation generated automatically per worker per shift.

Workforce absence and service continuity

Home Care Workforce Planning
Problem
Last-minute absences in critical services (home care, emergency response, utilities) cascade into coverage gaps that are managed manually by phone.
Agent action
Agent detects absence signal, checks coverage rules, identifies qualified available staff, and proposes a reallocation — escalating to a human coordinator for approval before any schedule change is confirmed.
Outcome
Coverage gaps resolved in minutes rather than hours. Every reallocation decision logged with the rule set that drove it.

Why cities choose Copyl

Designed for EU AI Act audit evidence

Audit trails, risk documentation, and human oversight controls built into every agent — structured for the evidence an audit will ask for, not added afterwards.

EU data residency

All signals, decisions, and audit logs remain within EU infrastructure. No data transferred to US-based cloud providers.

Cross-domain intelligence

Correlate signals across infrastructure, operations, finance, and citizen services — insights no single-source system can produce.

Per-agent accountability

Every agent has a name, a role, and a policy set. Every action is attributable. Cities can answer to citizens and regulators.

Meeting cities and public sector organisations at Smart City Expo World Congress, Barcelona — 3–5 November 2026.

Book a meeting at SCEWC →

How the review report works

  1. 1

    Submit your company details

    Tell us your domain, size band, and which executive roles you care about. We use public information only for the first pass.

  2. 2

    We review public sources

    Our team and governed agents summarise what is visible from your site, filings, and news — scoped to the industry page you came from.

  3. 3

    You receive a tailored report

    A CxO-oriented brief arrives by email within five business days. No instant auto-report — a human quality gate on every send.

Request your review report

Share your company domain and the roles you want the report tailored for. We will confirm by email.

Industry context for this request: Smart City & Public Sector (smart-city)

Reports are tailored for organisations of 50+ employees. Smaller teams may receive a lighter overview.

We research your organisation and show which agents and signal workflows would reduce manual operations and strengthen governance in your city or public sector context.

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