Travel Software for Companies: Test Before You Sign

You chose the current online booking tool (OBT) two or three years ago. Now you are shortlisting its replacement, and the first question finance will ask is why the last decision did not hold. The demo went well, the feature grid was full, and half the company still books somewhere else.

Five checks stand between a shortlist and a defensible signature on travel software for companies. Each one runs on your trips, your policy, and your travelers, and together they produce the numbers finance will ask for. Work through them, and the decision rests on behavior your program recorded itself.

Why Travel Software Purchases Fail After the Signature

Usage decides whether travel software holds, and usage is the one thing a selection process cannot observe. Roughly a third of travel buyers have been reevaluating or replacing their travel management company (TMC), and technology dissatisfaction leads the reasons, ahead of service quality. Those programs are unwinding a decision that looked right on paper.

Usage stays short of target even among the travelers a program watches most closely. Forty-nine percent of frequent business travelers always use corporate channels, up from 43% a year earlier, which still leaves half of the heaviest travelers going around them at least some of the time. Occasional travelers book less often and have less reason to remember the tool at all.

Comparing criteria narrows a shortlist, and vendor category fit is the right place to settle it. No grid predicts how your travelers will behave once the contract is signed. The five checks below produce that evidence while the contract is still unsigned.

Build the Demo Script Before the Vendor Builds Theirs

A vendor-run demo shows the paths that work. Take the inputs away from the vendor and hand every shortlisted platform the same script.

Use Your Own Itineraries

Pull three or four awkward trips from last quarter. A complex itinerary with a client stop between two offices, booked 48 hours out, exposes the content gaps a rehearsed demo hides. A route into a thin-inventory market shows whether the platform can source where your people go.

Load Your Own Policy

Send the actual policy document before the call and ask the vendor to book one of your itineraries with it applied live. A vendor who describes how configuration would work is describing a future project, and that project lands on your calendar.

Bring the Edge Cases

Ask the vendor to cancel a booked trip and make a same-day change, then test a booking by a traveler with no stored profile. The no-profile traveler shows how much setup stands between a new hire and a first booking. The change and the cancellation show whether travelers stay in the tool or reach for the phone.

What a Vendor Demo Cannot Show You

Some conditions only surface in live use, so put them on the pilot's measurement list.

• Support hold times collapse when weather cancels half the departures from a hub and every traveler calls at once, and no scheduled demo runs during that hour.
• Changing a flight from a phone at the gate works differently than changing one from a laptop, and the gate is where it actually happens.
• Receipt quality looks fine on screen and then reaches reconciliation missing the field your expense process keys on, which only a live close cycle catches.
• Policy holds inside the path the vendor demonstrates, but a rule enforced in one booking screen does not always follow the traveler to another.

A demo also cannot show which channel travelers reach for, and that matters more than the feature grid, because a platform travelers never open produces no managed spend. Otto the Agent works in web, iOS and Android apps, Slack, Microsoft Teams, and Model Context Protocol (MCP) clients including Claude and ChatGPT, and it reads the corporate travel policy document you upload so in-policy options surface first. A traveler who asks for a flight in Teams or inside an assistant thread completes the booking in that same thread (setup steps). Run the same channel test on Otto that you run on every other shortlisted platform.

Design a Pilot That Produces a Decision

A pilot is only useful if it can fail, and volunteers cannot make it fail. People who ask to try a new booking tool already want it, so the resistance you need surfaces later, at rollout, where fixing it costs more. Put the skeptics in the cohort alongside the travelers who complained loudest about the current OBT, and run it long enough for a full booking cycle: one trip booked, taken, and expensed, and one changed or canceled.

Before day one, capture the baseline:

• Current booking volume by channel
• Time from request to confirmation
• Share of trips booked outside the managed channel
• Support contact volume

Without those four numbers, there is nothing to measure the pilot against. Procurement usually forces the commitment before that evidence exists, because a pilot needs a signed agreement, and a signed agreement needs a business case built on the data the pilot was supposed to produce. Otto inverts that order. Otto is free for the first year with no credit card required, no contracts, no agent-assist fees, and no minimum spend, so a cohort books real trips within the week, and 24/7 phone support runs through Otto's travel management partner on a 1-800 number. 

Set Pass and Fail Thresholds Before the Pilot Starts

Write the numbers that mean yes and the numbers that mean no before anyone logs in. Thresholds set after the data arrives resolve in the vendor's favor every time, because by then someone on the team has become the platform's internal advocate and the shortlist has narrowed until "no" means starting over. Write each threshold in a form the pilot can score.

Managed-Channel Adoption

Set the pass number against your current one, and set it while the pilot is still hypothetical. If 40% of trips run through the managed channel today, decide now whether 65% of pilot trips is a pass and 50% is a fail.

Booking and Support

Set ceilings on confirmation time and on support contacts per traveler, each expressed as movement from your own baseline. Tie both to booking channel economics so the threshold carries a dollar figure into the business case. Six in ten travel managers are tightening booking compliance to control costs, so a threshold that ignores cost will not survive review.

Decision Control

Put the fail condition in writing with a decision date and a named owner. A pilot without an end date drifts into an extension, and the extension becomes the contract.

Read the Pilot Data the Way Finance Will

Present the pilot as a before-and-after on the baseline, because a feature summary answers none of the questions finance actually asks: what changed, over what period, at what cost, and what happens at renewal. Report cost avoidance separately from hard savings and let finance weight them. Show renewal pricing separately from pilot-period costs, since the second number recurs.

Travelers who rate a tool highly still book around it, so report where the bookings landed. Sentiment scores never reach program return benchmarks. Channel share does, and it shifts fast: among travelers who sometimes book off-platform, company-channel air share climbed from 34% to 58% between 2024 and 2025. Movement that large is why a pilot needs a fixed before window and a read across the full run. Novelty inflates the early weeks, and off-channel habits reappear around week three.

Let the Pilot Decide, Not the Demo

A purchase that loses adoption after the signature sends you back into the same feature comparison that produced the last contract. A defensible signature rests on evidence the vendor cannot supply, recorded by the travelers who will live with the choice.

Otto is a lightweight TMC that books flights, hotels, and car rentals in web, iOS and Android apps, Slack, Microsoft Teams, and MCP clients. Travelers finish the booking directly in the same conversation they started it, Otto applies the uploaded policy file to what they see, and accounting receives expense-ready PDF receipts. Otto is free for the first year, with no contract, no agent-assist fees, and no minimum spend, which means a pilot can run against your adoption, compliance, support, and cost thresholds without a purchase order.

Put Otto in the pilot cohort to measure managed-channel adoption and policy compliance against your own baseline before you commit to a contract.

Frequently Asked Questions

How long should a travel software pilot run?

Count in months. A single month rarely contains both a mid-trip change and an expense close, so plan on two to three. A pilot that misses quarter-end travel or the annual offsite leaves support untested, and a quiet month reads as a result when it is really an absence of one.

How many travelers should be in a pilot group?

Include enough monthly travelers to generate bookings every week and enough occasional travelers to test the no-profile experience. A group too small to produce a cancellation during the run is too small to tell you anything about changes, which is where most tools fail.

What baseline data do you need before a pilot starts?

Card statements and expense exports reveal bookings made outside the managed channel, and the current tool's reporting supplies managed volume. Support tickets supply contact volume. Cover a normal booking cycle rather than a peak one, and record the pull date so the before window stays fixed.

How do you test a booking platform without running a procurement cycle?

Start the cohort while the shortlisted vendor's contract moves through legal and procurement. Otto can be evaluated without a contract during its free first year, so travelers book real trips while the paperwork proceeds. Procurement then has behavior to score.