
Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Data exists, but it's scattered across departments and systems
Public organizations collect enormous volumes of data, but it's locked in siloed systems that rarely communicate. Cross-departmental reporting means manual exports, reconciliation work, and decisions based on an incomplete picture.
Growing pressure to justify every budget with evidence
Whether facing audit, scrutiny from elected bodies, or internal reviews, public sector leaders increasingly need to demonstrate impact with data. But when reporting is slow and fragmented, building a credible evidence base takes weeks.
Digital transformation ambitions stall at the pilot stage
Many public organizations have launched AI or data initiatives. Few have scaled them. The gap between a promising proof-of-concept and a solution that's compliant and actually used by staff is where most projects quietly die.
Solutions
The solutions we offer
Unified reporting and operational dashboards
We consolidate data from your core systems into reliable, real-time dashboards that give managers and leadership a shared view of performance.
Evidence-based policy and budget reporting
We build the data infrastructure and visualization tools needed to measure programme impact, track KPIs over time, and communicate results to stakeholders.
Pragmatic AI: compliant, explainable, deployable
We design AI initiatives with the constraints of the public sector in mind. From scoping to deployment, we make sure what gets built can actually go live – and stay live.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories

Using AI to match blood donors with the products hospitals need
A major nonprofit needed help matching blood donors to hospital needs. We explored how AI could help.

A multilingual RAG chatbot on Azure to help with fundraising
We built a multilingual, Retrieval-Augmented Generation chatbot on Azure for a philanthropic foundation.

How an AI-powered CV search engine matches experts with public tenders
Agilytic built an AI-powered CV search engine for a European consulting firm in order to match experts with public tenders.









