AI AUDIT

FIND YOUR
AI WINS.
BEFORE YOU BUILD.

London AI consultancy. We map your processes, score your data readiness, and hand you a prioritised plan — so you spend money on the right thing, not just something.

Fixed price. 2–4 weeks. You own everything we produce.

Let's Talk →
EXECUTIVE DASHBOARD● LIVE
Real-Time Overview
REVENUE£284K+12% vs last month
PIPELINE£1.2M↑ 23%
ORDERS1,429
CONVERSION3.2%
REVENUE TREND
JAN
FEB
MAR
APR
MAY
JUN

FIVE AUDIT DELIVERABLES

#1Process Mapping
#2Data Readiness
#3Use Case Prioritisation
#4Build Roadmap
#5Quick Wins Report
#1 SOLUTION

PROCESS MAPPING

We document and score every workflow for AI potential. Not theory — we sit with your team and map what actually happens, then rate each process against effort, value, and feasibility.

Current state mapAI fit scoreTime/cost dataPriority ranking
2-3 week delivery
FIXED FEE
£5,000 – £10,000

Scope and price confirmed before we start. 2–4 weeks delivery.

No hourly billingYou own all outputsVendor-agnostic plan

YOUR DATA ISN'T
READY YET.

73% of failed AI projects had weak data foundations. Before any build, we score your data quality, accessibility, and structure against what AI actually needs — and give you a clear picture of the gaps that would kill a project if left unaddressed.

  • Data quality scoring across all sources
  • Accessibility and permissions audit
  • Structure gap analysis vs AI requirements
  • Remediation roadmap before you build
BEFORE
sales_2024_FINAL_v3.xlsx
Copy of revenue (2).csv
OLD_data_backup.xlsx
Q3_numbers_john.xlsx
AFTER
CLEAN DATA MODEL

Structured. Validated. Ready for analysis.

HOW THE
AUDIT WORKS

Four weeks. One clear output. You leave with a prioritised action plan, not a 60-slide deck full of caveats.

WEEK 1–2

Discovery

We interview your team, shadow key workflows, and map every process against AI potential.

WEEK 3

Assessment

Data readiness scored. Use cases ranked by ROI, risk, and time-to-value. Gaps identified.

WEEK 4

Action Plan

Written report. Top 3 opportunities. Cost estimates. Build roadmap. Yours to keep.

The audit is vendor-agnostic. We recommend what fits your stack and budget — not what benefits us. If we're not the right firm to build it, we'll tell you.

OUR APPROACH

How We Work

DELIVERY2-4 weeks
PROCESSBuilt WITH your team daily
PROTOTYPEWorking prototype Week 1
ADOPTION90% team adoption typical
LOCATIONLondon-based consultancy
OWNERSHIPYou own it. Full docs.
UPDATESYour team can modify
OTHER BI AGENCIES

How They Work

DELIVERY6+ months to final
PROCESSBuilt in isolation. Big reveal.
PROTOTYPENo prototype until months in
ADOPTION12% industry average
COST£2,000+/month hidden
OWNERSHIPVendor lock-in. Black box.
UPDATESDependent on agency
HOW WE

AUDIT

METHODOLOGY

Structured Assessment

We use a proven framework to score processes for AI fit, assess data readiness against real AI requirements, and rank opportunities by ROI and implementation risk.

Process scoringData gradingROI rankingRisk assessment
MICROSOFT

Copilot & M365

Audit your existing Microsoft AI tools for untapped value.

OPENAI / ANTHROPIC

LLM Fit Assessment

Which processes benefit from language model integration.

CUSTOM AI

Bespoke Build Scoping

Where custom AI outperforms off-the-shelf tools.

VENDOR-AGNOSTIC

No Lock-In Advice

We recommend what fits — not what we're partnered with.

4 WEEKS TO LAUNCH

WEEK 1

Data Health Check

  • Team interviews
  • Process walkthrough
  • Data landscape
  • Scope agreement
WEEK 2

Process Deep-Dive

  • Map each workflow
  • Time/cost baselining
  • AI fit scoring
  • Stakeholder input
WEEK 3

Data Assessment

  • Source audit
  • Quality scoring
  • Gap identification
  • Readiness verdict
WEEK 4

Findings & Action Plan

  • Top 3 use cases
  • Build roadmap
  • Cost estimates
  • Presentation & handover

WE'VE SEEN WHAT
FAILED. AND WHY.

73% of failed AI projects had no agreed definition of success. 68% underinvested in data before starting. If your project stalled, one of these four things happened.

01

No success criteria

Nobody agreed what “working” actually meant. The build finished. Nobody could say if it succeeded.

02

Data wasn't ready

The AI worked in the demo. Then it hit your actual data — messy, inconsistent, inaccessible — and stalled.

03

No internal champion

62% of AI tools fail to reach 40% adoption in 6 months. Without someone owning it day-to-day, teams go back to what they know.

The audit addresses all three before anything gets built. We identify the root cause of what went wrong, assess whether the underlying opportunity is still valid, and give you a clear path forward — or tell you honestly if the idea isn't worth pursuing again.

How long does the audit take?+
What do we get at the end?+
Do we have to build with you afterwards?+
What if we've already tried AI and it failed?+
We don't know much about AI — is that a problem?+
What does it cost?+
READY?

LET'S TALK.

No pressure. No sales pitch. Just honest conversation about how we can help with your data and reporting needs.

Let's talk about your project →
■ GET IN TOUCH ■

Let's Build Something Great.

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ADDRESS
71-75 Shelton StreetCovent GardenLondon, WC2H 9JQUnited Kingdom
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