Public Sector
AI that turns weeks of work into minutes
Contract review, research, prediction and intelligence, delivered for government departments and public bodies. Working tools inside weeks, evidenced by independent study where it counts.
Free diagnostic, three minutes. No follow-up unless you ask.
What AI for government means
AI for government means using machine learning and generative AI to take on the reading, searching, checking and forecasting that fill public servants' days: reviewing contracts against procurement rules, answering research questions across large document sets, analysing intelligence, and predicting where a service will be needed. Done well, it gives people back time for the judgement only they can make.
We have delivered this work for UK government departments. ContractCube helped a central government department clear a six-month contract review backlog in 11 weeks, reviewing contracts 80 per cent faster. A generative AI research application cut work that took up to 10 hours per query to minutes. Separately, for a leading UK organisation, a geopolitical risk tool processed more than a million data points in hours, saving an estimated 9.5 years of manual effort.
Public sector AI also has to stand up to scrutiny. Our independent study of more than 3 million social tenancies found that rent-arrears software cut evictions by 37.8 per cent and non-Universal-Credit arrears by nearly 30 per cent, the kind of evidence a service needs before it scales a tool.
A department does not need to buy a platform to start. ContractCube is a product we built for contract review and deployed in central government; research, casework and forecasting tools are usually built on your own data and systems and handed over with the code. Either way, the work starts small, proves itself against a measure agreed up front, and scales only when it has.
Built around the public servant's workload
The four places public sector teams ask us to start, each drawn from work we have already delivered.
Contract review and procurement compliance
AI that reads thousands of contracts against new procurement rules and flags what matters. A central government department cut review time from weeks to hours, reviewing contracts 80 per cent faster with ContractCube.
Research and knowledge automation
Generative-AI applications that search, generate and summarise across large document sets. One UK government tool reduced research that took up to 10 hours per query to minutes, saving one to two days of work each time.
Predictive analytics for public services
Prediction models wired into frontline decisions. An independent large-scale study of rent-arrears prediction software evidenced a 37.8 per cent fall in evictions due to arrears across the social-housing sector over three years.
Intelligence and risk analysis
AI that processes intelligence at a scale people cannot. A geopolitical risk tool worked through more than a million data points in hours, saving an estimated 9.5 years of manual effort, and we lifted the accuracy of a national-security predictive model.
Sub-vertical
Compliance and procurement
New procurement rules mean thousands of contracts to check against a moving standard. Rather than add headcount, a central government department deployed ContractCube and now reviews contracts 80 per cent faster, moving compliance review from weeks to hours.
What we have built for the public sector
Specific engagements, specific results. Anonymised by agreement where the client asked for it.
Government Predictive Accuracy Boosted by AI-Powered Social Media Intelligence
Leading Government Department
How QuantSpark improved the performance of an existing predictive model that wasn't delivering the accuracy needed for effective decision-making for a national security customer.
Quantifying how predictive software reduces evictions for social landlords
A provider of arrears-management software to social landlords
An independent large-scale study measured how rent-arrears prediction software affects evictions and arrears across the social-housing sector, evidencing a 37.8 per cent fall in evictions.
AI-Powered Geopolitical Risk Tool Boosts Efficiency and Reduces Risk
Leading UK Organisation
QuantSpark developed an advanced AI-powered geopolitical risk tool, processing over 1 million data points in hours to enhance operational efficiency and reduce risks.
Generative AI that turns days of government research into minutes
A UK government department
QuantSpark built a generative-AI research application for a UK government department, letting staff search, generate and summarise large volumes of international documents, resolutions and records. Work that once took up to 10 hours per query was reduced to minutes.
Government department: 80% faster contract review with AI
UK central government department
A central government department was reviewing thousands of contracts manually for compliance with new procurement rules. We deployed ContractCube and reduced review time from weeks to hours.
How we work with public bodies
We are an AI consultancy of around 70 strategists, data scientists and engineers, building AI and analytics systems since 2016. In the public sector that work follows three rules.
Evidence before scale
Every engagement starts with the question a minister, a board or an auditor will ask: did it work? We agree the measure up front and report against it honestly, including where a target was missed.
Governed from the first day
An agent that can act gets a named owner, a scoped role, a registry entry and an audit trail of what it proposed and what it was allowed to do. Control sits outside the model and is deployed inside your own tenant, and your data stays in your systems by default.
Built with your team
Departments should not depend on a supplier they cannot leave. We build alongside your people and hand over the code, the runbook and the evaluation harness. You own the IP.
Proof, not promises
Fall in evictions due to arrears over three years, evidenced by an independent large-scale study of rent-arrears prediction software
Figures are drawn from completed QuantSpark engagements. Clients are anonymised by agreement; on a call we will walk you through how each number was measured and, where the client has agreed, put you in touch with a reference.
One ladder, each step earned
Every engagement starts small and earns the next step. Book a discovery call and we will tell you where to start, honestly.
Readiness Diagnostic
Free. Ten questions, a scored readiness band and an honest diagnosis. No follow-up unless you ask.
- Scored readiness band
- Plain-English diagnosis
- Recommended next step
AiRE Diagnostic
A short list of AI bets ranked by value, feasibility and risk, a recommended roadmap, and an honest read: roll out, build, buy, or wait.
- Ranked AI bets
- Value and feasibility scoring
- Recommended roadmap
- Honest build / buy / wait call
First Agent
A production-candidate agent, live on your own stack in five weeks, built with your team so you leave owning both the agent and the ability to build the next one.
- One core workflow mapped (week 1)
- One production-candidate agent on your stack
- Your people building alongside us
- Runbook, eval harness, code and IP, all yours
AiRE Rollout
Fractional AI implementation across your existing stack. From AI experiments to AI operations.
- Tool deployment on your stack
- Team enablement
- Governance and guardrails
- Monthly reviews and Slack support
Labs Discovery
A working prototype on your data, in your workflow. Not a slide deck. Validated value and a scale roadmap.
- Process and data mapping
- Working prototype
- Validated value case
- Scale roadmap
Labs Build
An enterprise-grade system embedded in your operating model. You own the code and the IP.
- Production build
- Integration and embedding
- Team handover
- 12 months support
Every project is scoped individually. Book a discovery call and we will provide a detailed proposal within 48 hours.
Public sector AI questions, answered
How is AI used in government?
Can AI review contracts against new procurement rules?
How do you keep generative AI under control on government information?
How do you prove an AI tool works in a public service?
Can AI improve forecasting and risk analysis?
How do we start?
Talk to an AI consultancy for government that has done this before.
Start with the honest read
Three minutes, ten questions, no follow-up unless you ask. Or talk to a human first.