AmTrav, Emburse Integrate To Simplify T&E Spend Management

AmTrav, Emburse Integrate To Simplify T&E Spend Management

AmTrav, which helps companies book travel, and Emburse, a spend management technology and accounts payable (AP) automation firm, are advancing their partnership by rolling out an automatic receipts integration, according to a Thursday (June 24) announcement.

“The word ‘integration’ gets thrown around a lot these days, but the one between AmTrav and Emburse is robust and real-time,” AmTrav CEO Jeff Klee said in the announcement. “Customers who pick AmTrav and Emburse can get a travel management platform that they’ll love, paired with a world-class expense management system, tightly integrated so their travel expense data flows accurately from one to the other to save all users time and headache.”

The connection lets AmTrav transmit expense information and receipt images to Emburse expense wallets from the AmTrav point of sale. Users subsequently have the ability to put these travel expense items on their expense reports by way of a single click. Moreover, the feed includes all types of travel changes made via the AmTrav platform, automatically filling in expense records with information on refunds, change fees or additional fare amounts.

In addition, Emburse users have the ability to have “expense owners” obtain expenses for certain travelers.

Emburse, for its part, provides products such as Emburse Tallie, Emburse Chrome River and Emburse Certify, among others.

PYMNTS reported in June that Emburse has launched its Emburse Pay – B2B Payments integrated payables solution.

“In [business-to-busines] B2B Payments, we have taken what has traditionally been a very cumbersome process and integrated it into our AP solutions’ workflow,” Rajeev Subramanyam, general manager of Emburse Pay, said in a June press release.

And PYMNTS reported in May that Emburse had launched Emburse Audit to help organizations ensure that expense reimbursement is accurate and is in line with policy.

That offering joins machine learning (ML) and a team of human auditors to conserve time, do away with wasteful spending, ensure compliance and lessen fraud.