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Capability 01

Spotter: Ask your platform a question. Get the answer.

Spotter is the Askew Brook analysis layer that lets operations teams query live platform data in plain English and receive structured answers without leaving the admin panel they already use.

Platform-Native Read-Only Budgeted Usage Saved Analysis History
Spotter featured interface showing a completed analysis view inside the modal
Featured Spotter result view used on the inner product page hero, showing a completed analysis inside the platform FIG. 01
01 / Overview

Overview

Operations teams hit the same problem repeatedly: the data already exists, but getting answers means filing a ticket, waiting on a developer, or relying on a dashboard built for last quarter's questions. Spotter removes that friction by turning the platform itself into the analysis surface.

Teams open Spotter from the admin panel, type a focused question in plain English, and receive a formatted report back in seconds. It uses the same records, relationships, and approved calculations the platform already relies on, so the answers come from business logic the team already trusts.

02 / Problem

The Problem

Teams should not need SQL, a spreadsheet export, or a new report request to understand live operational data. But in most systems, that is exactly what happens. Questions that should take seconds end up taking days because the data is accessible only through technical bottlenecks.

That delay pushes people toward guesswork. Important decisions get made without current numbers, or staff stop asking useful questions because extracting the answer costs too much time from the development team.

03 / What It Does

What Spotter Does

Spotter is an AI-powered analysis layer built directly into Askew Brook platforms. It allows users to ask questions about their data in plain English and get structured results back as summaries, tables, computed values, and breakdowns that match the platform's existing rules.

It is not scraping the screen or inventing its own maths. Spotter works against the platform's approved data access and business logic, so derived values such as totals, margins, and platform-specific calculations stay consistent with the system of record.

04 / Workflow

What Your Team Sees

The workflow is intentionally short. A Spotter button appears on configured pages inside the admin panel. A user opens it, types a question, watches the analysis progress, then reads the report. The result is saved to history for later reuse.

01

Open Spotter from a list page or individual record page.

02

Ask a plain-English question about the data in view.

03

Watch live status updates while the analysis runs.

04

Read a formatted result and reopen it later from history.

Spotter prompt interface showing a text area, page context, and run analysis action
Spotter opened in context with a saved history entry, page scope, and a plain-English prompt ready to run FIG. 02
Spotter loading state showing live status while the analysis runs
Live feedback while Spotter analyses the request instead of dropping the user into a silent wait state FIG. 03
Spotter welcome modal explaining how to get started
A simple onboarding step that explains how Spotter works before the first analysis is run FIG. 04
Spotter report summarising sales across a date range with assumptions and tabular output
Structured output with assumptions, summary metrics, and tabular breakdowns that can be reviewed by the team FIG. 05
Spotter analysis drilling into a single order with financial and actionable detail
Deeper record-level analysis with calculated financial context, operational observations, and suggested next steps FIG. 06
05 / Guardrails

Built Into the Platform, Not Bolted On

Read-Only by Design

Spotter analyses data but cannot create, update, or delete records. That constraint is structural, not configurable.

Access Control You Define

Only approved datasets, calculations, and relationships are exposed. Sensitive areas can be excluded entirely.

Contextual Intelligence

Spotter adapts to the page it is opened from, including selected rows on list pages and record context on detail screens.

06 / Examples

The Kind of Questions It Handles

“Show me the top 10 highest-value jobs this month”

Useful when an operations lead needs a quick performance snapshot without asking a developer for a report.

“Which clients have outstanding invoices over £5,000?”

Useful for finance and admin teams checking live receivables directly from the system they already work in.

“What's the profit margin breakdown for jobs completed last week?”

Useful when the answer depends on platform-specific calculations and relationships rather than a single raw field.

07 / Operations

Budgeting and History

Spotter includes built-in usage budgeting so platform owners can cap monthly usage and optionally pace that budget across the weeks of the month. Teams can see what has been used, what remains, and when the allowance resets.

Every analysis is retained in history, scoped to the page it was run from. Teams can reopen previous results without rerunning the analysis, which makes Spotter useful in day-to-day work rather than a one-off novelty.

08 / Positioning

What Spotter Is Not

It's not a dashboard.

Dashboards answer anticipated questions. Spotter is for the questions nobody thought to prebuild.

It's not a report builder.

There is no template authoring or configuration burden for end users. Ask the question and read the answer.

It's not a chatbot.

Spotter is focused analysis. One prompt produces one structured result tied to platform context.

09 / Availability

Available on Askew Brook Platforms

Spotter is a capability for platforms built and maintained by Askew Brook. It is configured around the data model, calculations, and access boundaries of the specific platform it is deployed into, so each implementation is tailored to the domain it serves.

If your organisation already runs on an Askew Brook platform and wants AI-assisted analysis without introducing another tool, get in touch and we can walk through where Spotter fits.