ClarAIty
Our Solutions
We build the intelligent layer between your legacy systems and next-generation AI.
Instead of costly and disruptive platform overhauls, our plugins fit within your existing infrastructure, empowering your teams to be more efficient and effective.
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Plug-and-Play Integration: Our solutions work with the systems you already use.
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Specialised Expertise: Our AI is fine-tuned for the unique language, regulations, and processes of the UK public sector.
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Built for Trust: We prioritise data sovereignty, explainability, and accountability in every product we build.
TraigeAI+
TriageAI+ brings insight to the needs of service users enquiries by analysing the classified inquiry data to provide deeper insights to agency leaders.
For example, it will:
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Identify "hot button" issues or emerging trends in complaints.
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Predict seasonal spikes in inquiries (for example., more queries about recycling in the summer).
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Measure the performance of different departments based on response times and satisfaction scores.
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Provide data-driven recommendations for improving service delivery.
Tier 1: Foundational
TraigeAI
Resident and other stakeholder requests are often unclear, unstructured, or sent to the wrong place. A simple query like “I need help with my housing situation” could mean homelessness support, housing benefits, or even legal advice.
Without clarity, cases are misrouted, contact centres spend valuable time interpreting requests, and people experience frustrating delays.
Too often, this results in:
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Misrouted cases that bounce between departments
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High manual effort just to work out what someone means
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Inconsistent decisions depending on who first picks up the case
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Long wait times and dissatisfied clients
For residents, this feels like being lost in the system. For staff, it means wasted effort and rising costs.
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Triage AI
The public's requests are often unclear, unstructured, or sent to the wrong place. A simple query like “I need help with my housing situation” could mean homelessness support, housing benefits, or even legal advice.
Without clarity, cases are misrouted, contact centres spend valuable time interpreting requests, and citizens experience frustrating delays.
Too often, this results in:
-
Misrouted cases that bounce between departments
-
High manual effort just to work out what someone means
-
Inconsistent decisions depending on who first picks up the case
-
Long wait times and dissatisfied users
For the public, this feels like being lost in the system. For staff, it means wasted effort and rising costs.
Traige AI is your solution to enable the public to receive 'real time response at significantly lower cost to government organisations.
Triage AI+
TriageAI+ brings insight to the needs of Citizen enquiries by analysing the classified inquiry data to provide deeper insights to agency leaders.
For example, it will:
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Identify "hot button" issues or emerging trends in citizen complaints.
-
Predict seasonal spikes in inquiries (for example., more queries about recycling in the summer).
-
Measure the performance of different departments based on response times and citizen satisfaction scores.
-
Provide data-driven recommendations for improving service delivery.
Tier 2: Focused
Freedom AI
Freedom of Information requests are meant to give citizens simple access to public information. In reality, they often create heavy burdens for public bodies: The result? FOI officers spend more time processing how to handle requests than delivering the information citizens are entitled to.
FreedomAI delivers:
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Smart intake: Understands the language of requests, validates them, and guides citizens to frame them clearly.
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Automated triage: Classifies requests and routes them to the right department or knowledge base instantly.
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Faster responses: Surfaces similar past requests and drafts responses to reduce repetitive work.
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Compliance by design: Tracks deadlines, ensures consistency, and reduces the risk of late or incomplete responses.
Council Tax AI
Council tax arrears in the UK have reached record levels, with millions of people struggling to pay. The current process is often reactive and can escalate quickly to expensive and distressing measures like bailiff visits. This is costly for the council and harmful to vulnerable residents.
Council Tax AI:
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Optimises the recovery process, helping councils reclaim more quickly at lower cost
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It automates the initial stages of communication and prioritises cases, reducing the need for costly legal and enforcement actions.
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Identifies vulnerable individuals and recommend proactive, supportive interventions
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Helps prevent debts from escalating and avoid aggressive tactics that can cause financial and mental distress.
Planning AI
The manual validation of planning applications is a time-consuming administrative task. Planning officers must sift through multiple documents to check for missing information, correct formats, and compliance with local policies. This leads to delays, backlogs, and frustration for both councils and applicants.
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Planning AI instantly reviews documents, flagging common errors like missing site plans or incorrect fees. This automation saves hours of manual work per application.
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By handling the repetitive validation work, the AI frees up planning officers to focus on more complex decision-making and public engagement. Applicants receive faster feedback on their submissions, reducing delays and allowing them to correct errors before the application is formally lodged.
Housing AI
Housing teams face several challenges:
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Residents use everyday language (“my tap’s leaking” / “damp in the bedroom”) that doesn’t match technical repair categories.
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Requests often go to the wrong team, causing delays and extra handoffs.
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Critical issues like gas leaks or unsafe conditions risk being treated as routine, increasing safety and compliance risks.
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Staff spend valuable time clarifying details instead of arranging the right fix.
NLP triggers turn vague housing repair requests into clear, prioritised actions — speeding up fixes, reducing risk, and improving tenant satisfaction.”
Environmental Health AI
Environmental health departments have limited resources and a vast number of businesses to inspect. Without a smart system, scheduling can be reactive and based on intuition rather than risk. This means high-risk businesses may not be inspected frequently enough, while low-risk businesses receive unnecessary visits.
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Benefits:
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Risk-Based Approach: The AI analyzes data from a variety of sources (e.g., historical violations, location, type of business) to predict risk scores and prioritize inspections. This ensures limited resources are focused on the businesses most likely to be non-compliant.
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Improved Public Safety: By targeting high-risk areas more effectively, the AI helps prevent health and safety incidents and improves public well-being.
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Cost Savings: It optimizes inspection routes and reduces the number of unnecessary visits, leading to significant cost savings and more efficient use of skilled staff.
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Environmental health departments have limited resources and a vast number of businesses to inspect. Without a smart system, scheduling can be reactive and based on intuition rather than risk. This means high-risk businesses may not be inspected frequently enough, while low-risk businesses receive unnecessary visits.
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Benefits:
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Risk-Based Approach: The AI analyzes data from a variety of sources (e.g., historical violations, location, type of business) to predict risk scores and prioritize inspections. This ensures limited resources are focused on the businesses most likely to be non-compliant.
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Improved Public Safety: By targeting high-risk areas more effectively, the AI helps prevent health and safety incidents and improves public well-being.
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Cost Savings: It optimizes inspection routes and reduces the number of unnecessary visits, leading to significant cost savings and more efficient use of skilled staff.
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Claraity Limited
167-169 Great Portland Street
London
W1W 5PF
Environmental Health AI
Environmental health departments have limited resources and a vast number of businesses to inspect. Without a smart system, scheduling can be reactive and based on intuition rather than risk. This means high-risk businesses may not be inspected frequently enough, while low-risk businesses receive unnecessary visits.
Benefits:
Risk-Based Approach: The AI analyzes data from a variety of sources (e.g., historical violations, location, type of business) to predict risk scores and prioritize inspections. This ensures limited resources are focused on the businesses most likely to be non-compliant.
Improved Public Safety: By targeting high-risk areas more effectively, the AI helps prevent health and safety incidents and improves public well-being.
Cost Savings: It optimizes inspection routes and reduces the number of unnecessary visits, leading to significant cost savings and more efficient use of skilled staff.
