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Insightful AI

Case study · Charity and non-profit

How the National Emergencies Trust gets a board-ready emergency assessment in 15 minutes

Insightful AI built a governed AI decision-support agent for the National Emergencies Trust, a UK disaster-response charity. When a major incident happens, it produces a board-ready assessment in under 15 minutes. The same work took several hours by hand. The agent has supported triage across about a dozen major incidents since 2025. Trustees keep every decision, and the agent supplies the evidence.

Kane Lukassen · Co-founder. Nine years running delivery operations on digital transformation programmes · Published · Last updated

At a glance

Key facts about this engagement
ClientNational Emergencies Trust
SectorCharity and non-profit, emergency response
ServiceAgentic AI Workflow Design
Evidence baseSix-pillar framework and a library of more than 130 historical emergencies
ResultBoard-ready assessment in under 15 minutes, down from several hours
Use since 2025About a dozen major incidents monitored and triaged

Why did the charity need faster emergency assessments?

When a major incident happens, trustees have to choose fast. They can launch a national appeal, support the local response, or keep monitoring. Each choice carries cost and reputational risk.

Before this engagement, staff gathered the evidence by hand under pressure. It took hours. The method also varied from one emergency to another, so trustees could not compare like with like.

The charity needed evidence that was fast, consistent and traceable. It did not want a tool that made the decision for them.

What did Insightful AI build?

We designed and built a governed decision-support agent. An agent is an AI system that follows a set process, gathers information and produces a defined output. This one assesses an incident against six pillars of evidence:

  • Impact: scale of harm to people and places
  • Urgency: how fast the situation is changing
  • Resource strain: pressure on local responders
  • Public attention: media and public interest
  • Aid gaps: where existing funding and support fall short
  • Mobilisation potential: whether an appeal would succeed

The agent draws on two sources. The first is a structured library of more than 130 documented historical emergencies. The second is live official sources for the incident in progress. It compares the new incident with past ones and ends with a recommendation.

How does the governance work?

The agent informs decisions. It does not make them. Five controls apply to every assessment:

  • Confirmed and unconfirmed information are separated in every output
  • Every source is logged with a timestamp
  • The recommendation states its evidence and its limits
  • Trustees make the call and record it
  • The six-pillar method is fixed, so assessments stay consistent across incidents

This maps to the third stage of our Adoption Roadmap: establish governance. It follows the People, Process, Principles model that shapes every build.

What were the results?

Before and after the engagement
MeasureBeforeAfter
Time to a board-ready assessmentSeveral hoursUnder 15 minutes, as reported by the team
Incidents supported since 2025Manual, one at a timeAbout a dozen major incidents
MethodVaried by emergencyFixed six-pillar framework
Source trailGathered by handEvery source logged with a timestamp

In one recent case, a full assessment was ready within 100 minutes of a major incident.

What we learned

Consistency matters as much as speed. Trustees valued a fixed method because it let them compare incidents. A faster but inconsistent tool would have solved half the problem.

Historical cases anchor the judgement. A library of past emergencies gives the agent something to compare against. Without it, every assessment starts from zero.

Keep the decision human. The agent recommends. People decide and stay accountable. This is what made trustees comfortable using it.

Who is this for?

This approach suits any organisation that makes high-stakes decisions under time pressure:

  • Grant-makers and emergency appeal funds
  • Charities that triage requests for help
  • Public sector teams with incident response duties
  • Boards that need evidence packs at short notice

Frequently asked questions

Does the AI decide whether to launch an appeal?
No. The agent gathers evidence, scores it against six pillars and recommends. Trustees make the decision and record it.
How does the charity know the information is accurate?
Every output separates confirmed from unconfirmed information. Every source is logged with a timestamp. Trustees can check any claim back to its source.
What are the six pillars?
Impact, urgency, resource strain, public attention, aid gaps and mobilisation potential. Each incident is scored against all six.
How fast is it?
Under 15 minutes to a board-ready assessment, as reported by the team. Before the engagement the same work took several hours.
How much does a system like this cost?
Agentic AI workflow design and build starts at £5,000 plus VAT. We scope the exact price after a free 30-minute discovery call.
Could this work for a smaller charity?
Yes. The six-pillar method scales down. A smaller charity might use a shorter library and fewer live sources. The governance controls stay the same.

Want an outcome like this?

Every engagement starts with a free 30-minute discovery call and ends with something working, governed and documented.