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AI ROI and use case planning

Quantify the ROI and financial impact of your AI project or portfolio of projects.

0+
AI case studies
0+
use case families
0+
sectors covered
5 AI use cases, ranked by ROILive model
Case studiesMatchRankModelROI

Projected value build-up · 24 months

  • 1Intelligent AI-powered CRM4.24x
  • 2Automated Generation of Personalised Offers3.49x
  • 3Lead Identification through Real Estate Websites1.70x
  • 4Digital Playbook for Sales Agents0.49x
  • 5AI Assistant for Customer Service-0.27x

Projected outcome

€1,826,600

ROI in 2 years

4.24x

Evidence matched

8 months to implement · 3.69 month payback

Trusted by the people who have to prove it

Product Managers/Digital Innovation

Has to prove: That an AI bet deserves the roadmap slot.

Use cases ranked by evidence strength

Finance Professionals

Has to prove: That the numbers survive a budget review.

Referenced assumptions and sensitivity

Consultants

Has to prove: That the case holds up in a client room.

Comparable outcomes, ready to export

Private Equity

Has to prove: That AI claims across a portfolio are real.

Expected against actual, every review

All four start from the same place, 0 plus AI case studies, modelled with the financial rigor investment professionals use.

Real ROI output

A model your finance team will approve.

Executive summary, three cases, referenced assumptions, sources and sensitivity. Built to sit in a finance conversation.

  1. Summary metrics
  2. Scenario range
  3. Assumptions and sources
ROI analysis: Customer Support automation agentExecutive summary
Investment
£90k
Annual benefit
£670k
ROI
3.4x
Payback
3 mo
Time to value
3 mo

Scenarios

Conservative

2.3x

Base

3.4x

Upside

4.6x

Key assumptions and sources

Resolution rate 38% ref 6 casesCost per resolution ref 4 casesVolume from internal data

Evidence corpus

The evidence problem, solved from real cases.

Every use case records what was built, who used it, what it returned, how long it took and how strong the evidence behind it is. Starting something new, or already running it, start from the same corpus.

Project Stage

Whether you are starting a new AI project or already have one running, the hard part is the same, proving the impact.

Credible answers it from a corpus of real AI case studies, so the numbers you take into the room are grounded in what comparable projects actually returned.

Use case families
12
Cases in this view
114
Sectors covered
10
Typical return
1.4x to 5.4x
Evidence library12 of 12 use cases
Sector
  • Customer support automation

    Software · Mid market

    Strong
    Cases
    18
    Typical return
    3.1x to 5.4x
    Time to value
    3 to 5 months
    Expected ROI
    3.4x
  • Sales insights

    B2B SaaS · Mid market

    Moderate
    Cases
    11
    Typical return
    2.2x to 3.6x
    Time to value
    6 to 9 months
    Expected ROI
    2.8x
  • Document triage

    Financial services · Enterprise

    Moderate
    Cases
    9
    Typical return
    1.9x to 3.1x
    Time to value
    5 to 8 months
    Expected ROI
    2.4x
  • Internal knowledge assistant

    Professional services · Enterprise

    Emerging
    Cases
    7
    Typical return
    1.5x to 2.4x
    Time to value
    7 to 11 months
    Expected ROI
    1.9x
  • Personalised offer generation

    Retail · Enterprise

    Strong
    Cases
    14
    Typical return
    2.6x to 4.4x
    Time to value
    4 to 6 months
    Expected ROI
    3.1x
  • Demand forecasting

    Manufacturing · Enterprise

    Strong
    Cases
    12
    Typical return
    2.4x to 3.9x
    Time to value
    6 to 9 months
    Expected ROI
    2.7x
  • Claims processing

    Insurance · Enterprise

    Moderate
    Cases
    10
    Typical return
    2.1x to 3.4x
    Time to value
    5 to 8 months
    Expected ROI
    2.6x
  • Onboarding and KYC checks

    Financial services · Mid market

    Moderate
    Cases
    8
    Typical return
    1.8x to 3.0x
    Time to value
    4 to 7 months
    Expected ROI
    2.3x
  • Contract review

    Legal · Mid market

    Moderate
    Cases
    8
    Typical return
    1.7x to 2.9x
    Time to value
    5 to 8 months
    Expected ROI
    2.2x
  • Quality inspection

    Manufacturing · Enterprise

    Emerging
    Cases
    6
    Typical return
    1.6x to 2.8x
    Time to value
    8 to 12 months
    Expected ROI
    2.1x
  • Clinical documentation

    Healthcare · Enterprise

    Emerging
    Cases
    6
    Typical return
    1.5x to 2.6x
    Time to value
    7 to 10 months
    Expected ROI
    2x
  • Field service scheduling

    Utilities · Enterprise

    Emerging
    Cases
    5
    Typical return
    1.4x to 2.3x
    Time to value
    8 to 12 months
    Expected ROI
    1.8x

Sensitivity analysis

Move an assumption. Watch the case respond.

Start from the corpus, then flex it against your own numbers. ROI, payback and annual impact update live and so does the summary you hand to finance.

Inputs

38%
£4.20
420,000
£90k

ROI

6.3x

Payback

2 mo

Annual impact

£570k

Time to value

2 mo

Sensitivity band

What happens if the assumptions are wrong

4.7x

Conservative

28%

6.3x

Base

38%

7.7x

Upside

46%

Net impact is gross benefit less a 15% operating adjustment. Payback is implementation cost divided by monthly net impact.

When it breaks even

A return that arrives sooner can beat a larger one that arrives late.

Your model

2 months to break even

Recovered quickly, lower exposure, easier to defend at the next review.

Large transformation project

13 months to break even

Larger headline return, recovered later, higher exposure.

0369121518

Months from start

ROI analysis: Customer support automationExecutive summary
Investment
£90k
Annual benefit
£670k
ROI
6.3x
Payback
2 mo
Time to value
2 mo

Key assumptions and evidence

Resolution rate 38% · 18 casesCost per resolution £4.20 · 18 casesVolume from your internal data15% operating adjustment applied

Take it into the room

PowerPoint

For the board review.

Excel

For finance to open and test.

Board deck

Structured summary for the ask.

How it works

You just built that in four sliders.

Describe your business once. Credible searches the corpus, ranks the use cases with the strongest evidence behind them and preloads the model, the assumptions and the evaluation targets. The work above is the output, not the setup.

  1. Business
    Context

    Step 01

    Describe your business

    Sector, budget, timeframe and objective, in plain language. Entered once.

  2. Evidence
    Match

    Step 02

    Find the use cases with evidence

    Credible searches the corpus and ranks the matches by how strong the evidence behind them is.

  3. Model
    Decision

    Step 03

    Everything arrives preloaded

    The model, the referenced assumptions and the evaluation targets come filled in and stay editable.

Why Credible

Different tools for different jobs.

A general AI assistant is useful for thinking through a problem. Credible is built for the Investment Decision.

Relevant evidence

Credible searches and curates the case studies that fit the situation.

Use case matching

Evidence is matched to the company, sector, budget and time frame.

Structured output

A reusable model with referenced assumptions, sensitivity, time to value and exports.

Four starting points

Where Credible fits.

Primary purpose

AI Assistants
General AI assistance
Research subscriptions
Research and market intelligence
Consultancy
Advisory services
Credible
Choosing and justifying AI projects

Evidence collection

AI Assistants
Requires prompting and validation
Research subscriptions
Manual research
Consultancy
Performed during the engagement
Credible
Curated automatically for every recommendation

Business case

AI Assistants
Create one with prompting
Research subscriptions
Usually separate work
Consultancy
Included in the engagement
Credible
Generated with referenced assumptions

Output confidence

AI Assistants
Variable
Research subscriptions
AI-dependent
Consultancy
Requires validation
Credible
Source verified and repeatable

Typical cost

AI Assistants
Subscription
Research subscriptions
Enterprise licence
Consultancy
Project based fees
Credible
£300/year

Pricing

Priced to match the value of the decision.

Choose the plan that matches how many AI projects you are running. Cancel any time.

Professional

Measure the ROI of your AI projects.

£99/ month

Up to 3
active projects
  • Metric discovery
  • Preloaded assumptions
  • Base case model
  • Spreadsheet export
  • Data anonymised and may inform aggregate benchmarks

14 day free trial.

Most complete

Portfolio

Measure your projects and discover the next one.

£149/ month

Up to 10
active projects

Everything in Professional, plus

  • Ranked discovery of proven AI use cases
  • Full scenario modelling: base, downside, upside
  • Sensitivity tables
  • Export in any format: board deck (PowerPoint), document, spreadsheet
  • Full confidentiality: your data never trains models or enters benchmarks

14 day free trial.

Enterprise

Measure AI ROI across your whole organisation.

Talk to us

Unlimited
projects

Everything in Portfolio, plus

  • Multiple seats with team workspaces
  • Leadership dashboard: every team's AI bets, ranked and comparable
  • One standardised methodology across every department
  • Custom benchmarks against your own historical projects
  • SSO and admin controls
  • API and export to BI tools
  • Signed DPA and full confidentiality
  • Onboarding session and priority support
  • Hands on consulting from our team

Try it free

Start with the AI opportunity.

Tell us a little about your business, and we will show you the AI opportunity most likely to pay off first.

  • Evidence matched to your sector and stage
  • A referenced business case, not a blank spreadsheet
  • Evaluation targets defined before launch

FAQ

Questions we are usually asked.

Credible helps most before the AI use case is selected, when uncertainty is highest, and it carries the decision through build, launch and ongoing review.

From a continuously maintained corpus. Based on 200 plus AI case studies, each recording what was built, what it cost, what it returned and how value was measured.

Company specific information is anonymised, and every Enterprise plan includes private deployment with dedicated data isolation as standard.

Both. A referenced write up of what has actually worked, and an editable spreadsheet with conservative, base and optimistic cases that exports straight to a board deck, PowerPoint or Excel.

Continuously, with a monthly briefing. If something new materially changes a benchmark you have already used, we tell you.

£300 a year on Pro for up to 10 projects, deliberately under most expense thresholds. We also give you a one page justification you can forward to whoever signs things off.