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Meridian

Your next travel policy change, tested before it lands.

Meridian by PredictX is travel policy intelligence software: it turns your travel and expense policy into a working model of your programme.

PredictX works with 4 of the 6 largest global T&E programmes and won gold for AI Innovation at the Business Travel Awards Europe 2026.

Policy Lab test: 3 tighter rules would save £1.37 million and 260 tonnes of CO2 a year, disruption score 2.7 of 10Policy Lab test: 3 tighter rules would save £1.37 million and 260 tonnes of CO2 a year, disruption score 2.7 of 10

What is a travel policy?

A travel policy is the set of rules a company sets for how its employees book, take and pay for business travel: which cabin they fly, what a hotel night may cost, when the train replaces a flight and what can be claimed back.

Most organisations call it a corporate travel policy or a travel and expense policy.

Changing one means answering to finance for the cost and to your travellers for the rules. In GBTA's January 2026 poll, 59% of travel buyers named balancing cost controls with traveller satisfaction as a big or major challenge for 2026.

"Even if your goal is to save money, the biggest impact on that is the behaviour of your travellers. A better hotel rate is good. But travellers staying at the most expensive hotel, or booking outside the programme, move spend massively more."

Keesup Choe, CEO, PredictX

What is travel policy simulation?

Travel policy simulation is testing a rule change on your own travel data before it takes effect. You see what one rule would do to cost, CO2 and traveller impact, with every other rule unchanged.

Try it on a sample programme

Sample data

Move any rule to see the effect.

Rules

What changes

Annual programme cost

from

CO2 a year

from

Disruption score

estimate

Saving by rule

  • Business class
  • Advance booking
  • Tier 1 hotel cap
  • Rail first
Find the gentlest route to

Disruption limit in this sample: 

Policy Lab sample model as a still: business class, advance booking and Tier 1 hotel cap tightened, results alongside
Sample programme, illustrative figures. With business class over 8 hours (was 6), advance booking at 21 days (was 14) and a £240 Tier 1 hotel cap (was £280), annual programme cost falls from £12.40m to £11.03m and CO2 from 4,200 to 3,940 tonnes, at a disruption score of 2.7 out of 10.

This sample model needs JavaScript to run.

Sample programme with illustrative figures. Not a forecast for your programme.

Meridian's Policy Lab runs the simulation and shows each rule's share of the saving. Save versions as scenarios: cost-first, carbon-first and the one finance will sign off.

You can start before your travel data connects: with the PredictX team, Meridian scores your policy document against a best-practice standard and shows the gaps. Until it connects, the simulation works from starting assumptions.

Run this on a programme like mine →

Which travel policy rules can you test before you change them?

You can test any rule in these 8 families before it changes, from cabin class and hotel caps to approval thresholds and carbon budgets.

  • Air

    • Cabin class by flight time and grade
    • advance purchase
    • preferred carriers
  • Hotel

    • Nightly caps by city tier
    • preferred hotels
  • Rail

    • When rail replaces a flight, and in which class
  • Ground transport

    • Car class
    • rideshare tiers
    • mileage rates
  • Meals and allowances

    • Per diems
    • meal caps
    • entertainment limits
  • Entitlements

    • What each grade and trip purpose allows
  • Approval and booking

    • Pre-trip approval
    • booking channels
    • card use
  • Sustainability

    • Rail mandates
    • video-first meetings
    • carbon budgets

Your team confirms rules Meridian has already read from the company travel policy, or the travel and expenses policy it sits in.

Travel policy wording beside the rules found in it: business class, advance booking and a hotel cap, awaiting your reviewTravel policy wording beside the rules found in it: business class, advance booking and a hotel cap, awaiting your review

Name the saving you need. Meridian finds the gentlest route.

Meridian's savings optimiser recommends the travel policy rule changes that reach your target, such as 10% off annual programme cost, while asking least of the people who travel.

  • You set the limit on traveller impact; each change carries a disruption score.
  • If the target can't be reached, Meridian says so.
Savings optimiser: a 10% target reached by travel policy changes that keep disruption to travellers lowSavings optimiser: a 10% target reached by travel policy changes that keep disruption to travellers low

How does your travel policy compare with other companies?

Meridian shows you which terms in your travel policy are generous, in line or strict against anonymised peer programmes.

A generous term is paid for on every trip it covers, for as long as it stays. Meridian prices what bringing each one into line would save.

Compare against peers like you, by sector, size or region where enough programmes match. The benchmark never identifies a company.

Illustrative scorecard: 3 of 5 travel policy terms more generous than peersIllustrative scorecard: 3 of 5 travel policy terms more generous than peers

The carbon a rule cuts, beside what it costs.

Travel policy rules such as rail for short trips and cabin limits on shorter flights cut business travel CO2, and each of them moves cost too, up or down. Measuring and reporting business travel emissions belongs to PredictX's corporate travel sustainability product; Meridian models the decision that comes before, with CO2 beside cost in every scenario.

In Deloitte's 2025 corporate travel study, 48% of US travel managers named sustainability commitments among the top three factors restricting travel, up from 38% in 2024. Companies reporting under the EU's CSRD disclose business travel emissions where they are significant, so a rule you adopt now shows up in your 2027 figures.

2 scenarios: cost first would save £1.37 million and 260 tonnes of CO2 a year, carbon first £0.52 million and 870 tonnes2 scenarios: cost first would save £1.37 million and 260 tonnes of CO2 a year, carbon first £0.52 million and 870 tonnes
Cost first saves more. Carbon first cuts more CO2.

How do you show the CFO what a travel policy change will save?

Show the CFO a saving with its workings: every number in Meridian by PredictX traces back to its source. Finance gets the same answer every time a scenario runs on the same data. Any scenario exports as a business case, with the saving, CO2 and traveller impact set out.

Confidence rating on every estimate

So finance knows how far to rely on each estimate.

Held to account afterwards

Meridian tracks predicted savings against actual spend, so when finance asks whether the change saved, the answer has dates on it.

Once the new rules are live, DetectX's AI expense audit shows whether spending follows them.

Illustrative six-month tracking of a change: £0.61 million saved, £0.69 million predicted, advance booking behindIllustrative six-month tracking of a change: £0.61 million saved, £0.69 million predicted, advance booking behind

Keep the tools you trust. Add the view they can't give you.

Meridian adds an independent model of your whole travel programme, compared with how other organisations travel, that you can rerun whenever the question changes.

Approaches to travel policy decisions, compared
ApproachWhat it does wellWhere it stops
Your agency's reportingIn the account already, explained by people you trustSees only what that agency booked
A spreadsheet modelFull control, built by a team finance trustsHolds only your own data, and is hard to rerun once rules interact
An adviser's reviewJudgement, stakeholder management, traveller communicationsA point-in-time answer; the next question waits for the next review
Leaving the policy aloneNo traveller friction, often right for a stable programmeRules drift from the market without anyone deciding they should
Meridian by PredictXYour rules tested on your own travel data against peer programmesWon't run workshops, traveller communications or supplier negotiations: use it between policy reviews, not instead of them

PredictX, a travel and expense data intelligence company, doesn't sell travel, so Meridian has no reason to favour one agency, channel or supplier. It sees bookings from every agency you connect, plus travel expensed outside them.

Questions about Meridian and your policy

How is our data protected in the benchmark?

Data reaches the benchmark only in anonymised, aggregated form, so no company can be identified in any comparison. Your own programme data stays isolated to your organisation, encrypted in transit and at rest, and every change, simulation and export is logged with who made it and when.

Should we require rail instead of flights on short routes, and what would it save?

Require rail where your route numbers support it: rail can cost more than the flight it replaces while cutting its CO2. In Meridian you can test a rail-first rule and see the change in fares, CO2 and traveller impact first.

Can AI read our travel policy document and turn it into rules?

Meridian by PredictX uses AI to read a travel policy document and turn the rules it can quantify into settings you can test and benchmark. It handles regional versions and other languages, and you can also set any rule by hand.

How do we know the AI read our travel policy correctly?

Your team checks every rule Meridian reads before it counts. Each rule sits beside the sentence it came from. Meridian flags uncertain rules for review, marks anything it could not find and saves nothing until your team has confirmed it.

Which teams will a travel policy change affect most?

Meridian shows which teams a travel policy change lands on before it happens, by business unit, department or cost centre, where your organisation data is connected. You see each unit's cost and share of the saving, so if a business class rule falls mostly on one sales team, you can prepare that conversation early.

What is the difference between modelling a travel policy and checking expenses against it?

Modelling a business travel policy happens before a change and estimates what new rules will do to cost, CO2 and travellers. Checking compliance happens after the spend and tests each expense against the rules in force. Meridian does the first and DetectX the second, and DetectX findings inform your next policy change.

Get more out of PredictX

On price, PredictX sets what you paid against what peers paid; it also answers questions about your programme in plain language and runs whole projects you approve.

Vantage: corporate travel benchmarking

Rules set what travellers book. Vantage shows whether peers paid less for the same thing.

  • Same hotel chain and metro, same month
  • Same airline, route and cabin, same month
  • A negotiation brief for each supplier

Cogent: ask in plain language

Put a policy question to your travel and expense data and get a cited answer.

  • Compliance by traveller and cost centre
  • Who books above the hotel rate cap
  • Every figure traced to its source

Orchestra: your AI agent team

Give it a project, such as ranking your policy leaks, and edit the plan it writes.

  • Savings modelled for each policy change
  • Nothing runs until you approve the plan
  • A cited report in PowerPoint, Word or PDF

See your travel policy as a model, not a document.

Take finance a number you can defend, and your travellers a policy they can live with.