Reporting automation for marketing and management teams

Spend less time assembling reports. Keep control of the numbers.

Indexify helps teams automate recurring reporting: collecting approved inputs, reconciling metrics, preparing a useful draft and keeping human review at the point of release. Start with the report that keeps landing back on your desk.

Reporting capacity planner

How much of your reporting week could change?

Model the preparation you could remove, then put review and upkeep back in. Start with one recurring report.

Reporting capacity planner controls

Your choices stay in this page. No sign-up required.

01Source02Reconcile03Draft04Approve

8.4 hours released per month

14.4 preparation hours removed, less 4 hours of review and 2 hours of upkeep. Test this against several real reporting cycles before treating it as available capacity.

Measure the existing process, including corrections, before commissioning a build.

Assumptions and how to use this tool

Illustrative scenario, not a forecast. Net capacity = reports × preparation hours × removal percentage − reports × review hours − upkeep. Review is additional to the baseline you enter. Negative results mean more work, not a saving.

Working method

Source, check, prepare, approve

Automation prepares the draft. Source checks and a named reviewer determine whether it is ready to use. 01 Source 02 Check 03 Draft 04 Approve evidence review
Automation prepares the draft. Source checks and a named reviewer determine whether it is ready to use.
Jon Goodey discussing practical work with a team
Direct access from discovery to handover

Jon Goodey, founder and consulting lead

Work directly with Jon to understand the process, define a useful first scope and connect the recommendations to practical delivery.

Bring a representative report or workflow. The first conversation establishes the problem, the available inputs and what needs to be tested before a wider commitment.

Read Jon’s full profile
Built around real work

A reporting workflow with checks built in

Agree a focused scope around the current process, the evidence it needs and the people who will run it.

01

Start with the decision the report supports

A monthly pack, client update or management dashboard should answer a specific question. We identify its readers, the decisions they make and the figures they trust before choosing a format.

  • Separate necessary measures from inherited reporting habits
  • Record the reporting window, filters and comparison period
  • Name the report owner and final reviewer
02

Make the inputs dependable

An automated report can repeat a mistake faster. We agree source definitions and access, check refresh dates, and decide how missing values, duplicates and changed fields should be handled.

  • Map available exports or authorised connections
  • Reconcile totals against the source
  • Keep zero, missing and not applicable distinct
03

Prepare the draft and its evidence

Use repeatable rules for collection, calculations and formatting. Where AI-assisted commentary is useful, it works from the checked figures and must separate observations from hypotheses.

  • Keep calculations reproducible outside a language model
  • Attach source references and reporting dates
  • Flag unusual movements for investigation rather than inventing explanations
04

Build the exception path

Late data and changed permissions happen. The workflow needs a clear hold state, an owner to notify and a way to produce the report manually while the problem is resolved.

  • Prevent incomplete reports being released as final
  • Agree review, delivery and retention requirements
  • Document maintenance responsibilities and changes

How the engagement works

  1. 1

    Bring one real report

    Walk through the current source files, recipients and preparation steps. Measure a baseline that includes review and corrections.

  2. 2

    Agree the smallest useful build

    Define inputs, outputs, release checks, access and exclusions. Confirm costs and ongoing ownership in a written scope.

  3. 3

    Run alongside the existing process

    Compare the same reporting period, reconcile discrepancies and test missing data before relying on the new workflow.

  4. 4

    Hand over with evidence

    Review several cycles, document the routine and exceptions, train the owner and agree the support arrangement.

What you take away

  • Current and proposed reporting workflow maps
  • Source register and metric definition sheet
  • Working report preparation workflow within the agreed scope
  • Validation rules, exception handling and approval steps
  • Baseline comparison including review and upkeep
  • Runbook, handover session and maintenance responsibilities

Read before you decide

Try the reporting worked example

Change a source condition and see why a useful reporting workflow sometimes refuses to release a result.

Read the practical guide

Need ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.

Prices

What reporting automation costs

Start with an audit if you are not sure where AI fits, or go straight to a set-up for a workflow you already know.

AI readiness audit

From £3,000 one-off

plus VAT

  • One team, in around two weeks
  • Scored use cases and a named first pilot
  • Regulated or sensitive-data work from £7,500
Discuss a readiness audit
Recommended

AI set-up

From £1,500 one-off

plus VAT

  • One defined workflow, built with your team
  • Clear data limits and human review steps
  • Handed over so your team can own it
Scope an AI set-up

Ongoing support

From £350 a month

plus VAT

  • Monitoring and fixes as the tools change
  • Small improvements each month
  • Plus any tool usage costs
Ask about ongoing support

Larger programmes are scoped in writing before any work starts.

All prices exclude VAT. See every published price or see how AI set-ups work.

Questions teams ask

What is reporting automation?

Reporting automation uses repeatable connections or imports, calculations and templates to prepare a recurring report. A dependable workflow also checks source freshness, definitions and completeness, and keeps a human approval step where needed.

Can you automate a spreadsheet or a recurring management pack?

We start by reviewing the current report, its sources and the decisions it supports. A spreadsheet, dashboard or document can be the output. Feasibility depends on access, source quality, calculations and the review required.

Does every report need AI?

No. Collection, reconciliation, arithmetic and formatting often work best with ordinary automation. AI can help prepare explanatory text or organise material, but it should not replace validated calculations or evidence.

How much does reporting automation cost?

Most reporting set-ups start from £1,500 plus VAT, with optional support from £350 a month. The scope depends on the number of sources, their reliability, required transformations, output formats and support needs, so we confirm a written scope and fixed fee after reviewing a representative report. The calculator on this page estimates capacity, not fees.

What if the source data is wrong or late?

The workflow should flag the issue and hold the affected output. We agree who investigates, what the manual fallback is and what evidence allows release. Missing information must not silently become a zero or a confident narrative.

Google reviews

What clients say about working with Indexify

5.0 from 6 Google reviews (opens in a new tab)
★★★★★
“Jon has provided excellent support for SEO strategy and implementation for Avicenna Pharmacies across England and Wales, driving impactful results for our brand awareness campaigns. Thanks to his expertise, we achieved top 5 rankings in a remarkably short time. Jon delivered a detailed, structured roadmap with clear tracking metrics, making progress transparent and actionable.”
Nida, Avicenna Pharmacies Review on Google, August 2025
★★★★★
“Our website had been facing some serious technical issues on WordPress and a noticeable drop in SEO rankings, and Jon was incredibly helpful in diagnosing and resolving these problems. He didn’t just fix the immediate problems; he also offered valuable advice on optimizing our site for better search engine visibility in the future.”
Francesca Ranauro Review on Google, January 2025
★★★★★
“Jon and the team were able to offer us clear, concise and accurate support and information during an integral business move when merging our company websites. The team are able to give strategic direction and reliable information at the drop of a hat! Incredibly responsive, could not recommend their services more.”
Emily Walker Review on Google, February 2024
★★★★★
“Thanks to his expertise and unwavering dedication, we’ve catapulted to the first page of Google for our targeted keywords. What truly distinguishes Indexify is their exceptional customer service. Jon is incredibly responsive and attentive to our needs, ensuring that every question or concern is promptly addressed.”
Carl Pike Review on Google, September 2023

Bring the report you keep rebuilding.

Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.