Missed part one?
Before you dive in, Part 1: The Case for AI Validator sets the scene if you haven’t read it yet.
Before you dive in, Part 1: The Case for AI Validator sets the scene if you haven’t read it yet.
Rather than being tied to a single platform or ecosystem, AI Validator works alongside any back-office system, giving councils complete flexibility.
It is service-led and configurable, including standard, national rules, and also allowing local validation rules and requirements to be tailored to each authority, rather than forcing rigid or standardised workflows.
With more than four years of live deployment learning, it offers operational maturity and real-world refinement, unlike newer AI modules still in early development.
Most importantly, its development has been collaborative and council-led, rather than platform-led or vendor-controlled.
AI Validator does not simply “read” a PDF and return a generic output. Instead, it runs a structured workflow that mirrors how validation officers already work, using multiple focused AI processes to reduce repetitive manual checking.
The input
The system ingests what the applicant submits, including:
The analysis
A focused sequence of specialised Machine learning models that perform specialist tasks including:
The Output and Decision
The system generates a structured set of outputs, including:
Those outputs are then matched against requirements. If something is missing, AI Validator does not simply return an “error.” It highlights exactly what is missing and why, helping officers respond faster and more consistently.
The result is a workflow that is more efficient, more transparent, and far easier to manage at scale.
AI Validator is not a black box.
It is designed to support officers with clear reasoning, structured outputs, and full accountability. Every recommendation is traceable, reviewable, and designed to support consistent decision-making.
It is not about replacing officers. It is about giving them the tools to lead validation with greater confidence and less administrative burden.
Key officer-led features include:
These capabilities reduce friction, increase confidence, and improve consistency across validation outcomes.
In a climate of constrained budgets and rising demand, efficiency is no longer optional.
For councils, AI is only valuable if it delivers measurable outcomes. AI Validator’s impact is not theoretical. It is supported by real usage data from councils already using the platform.
At Salford City Council, validation time dropped by up to 60%.
That is not marginal improvement. It represents transformational capacity gain, enabling officers to focus on higher-value work while reducing repetitive checks and avoidable delays.
Using our ROI Calculator, councils can model the potential impact based on their own volumes and workflows, including:
In an environment where councils are expected to do more with less, these gains are essential.
AI Validator is no longer an experiment. It is a proven utility used by over 20 councils, built through years of live deployments, continuous refinement, and a collaborative council-led approach.
Shaped by real validation teams and tested in operational environments, it delivers a faster, more consistent, and more transparent way to manage planning validation across the country.