SCIKIQ · Data Academy · Track

Governed AI by industry

How AI agents are being put to work in 10 industries, taught on the same governed path: business context, a deterministic rule, specialist agents, a policy check, an enterprise action and a record. Each tutorial covers three use cases, the ontology and systems behind them, the guardrails, a rollout plan, what to measure and what usually goes wrong.

Start with banking How the governed path works

01 BankingBanks have moved from chat assistants for staff to agents that work through credit monitoring, financial crime alerts and customer disputes end to end.

Covenant breach early warning
AML alert triage
Card dispute provisional credit

Open the tutorial →02 InsuranceInsurers are putting agents to work in claims, underwriting and servicing, where knowledge-heavy work meets high volumes.

Motor claim fast-track
Commercial property submission triage
Claims fraud referral

Open the tutorial →03 Healthcare providersHospitals and health systems are moving AI out of note-taking pilots and into the revenue cycle, patient access and patient flow, where agents now assemble prior authorisations, work denials and prepare discharges.

Prior authorisation assembly and submission
Discharge readiness and bed flow
Denial management and appeals

Open the tutorial →04 Life sciences & pharmaPharmaceutical and biotech companies are using AI agents in the document- and rule-heavy work around medicines: safety case processing, quality investigations, batch release readiness, clinical supply and regulatory writing.

Batch release readiness
Adverse event case intake and triage
Clinical trial site resupply

Open the tutorial →05 ManufacturingManufacturers are moving AI from dashboards into the work itself: agents that turn a condition alert into a planned work order, put a drifting lot on hold, or test whether a rush order can be promised.

Condition-based maintenance into the next planned stop
Process drift on a special characteristic
Rush order promise against capacity and margin

Open the tutorial →06 Energy & utilitiesUtilities are putting AI agents to work on outage triage, crew dispatch, vegetation risk and customer accounts, where the work is repetitive and spread across many systems.

Risk-based vegetation work before fire season
Storm outage triage and crew dispatch
Arrears action on a vulnerable household

Open the tutorial →07 Retail & consumer goodsRetailers and brands are moving AI from merchandising dashboards into the decisions themselves: when to mark down, which returns to question, which retailer deductions to accept.

End-of-season markdown within the price ladder
High-value return claim review
Retailer deduction validation for a consumer goods brand

Open the tutorial →08 LogisticsShippers, carriers and forwarders are giving AI agents real work: re-tendering missed loads, auditing freight invoices, preparing customs entries.

Missed pickup re-tender
Detention charge audit before payment
Customs classification check before filing

Open the tutorial →09 TelecomOperators are moving AI from chat assistants into the network operations centre, the fraud desk and the field, where agents now triage alarms, bar fraudulent traffic and plan technician visits.

Cell site outage triage and dispatch
International revenue share fraud bar
SIM swap protection

Open the tutorial →10 AirlinesAirlines are applying AI where the operation is hardest: re-accommodating passengers when flights are cancelled, recovering crew plans after delays, and spotting aircraft defects before they ground a tail.

Cancellation re-accommodation
Crew legality recovery after a delay
Repeat defect referral

Open the tutorial →