Posti, the largest postal service operator in Finland, is using Aito to automatically process purchase invoices which previously required constant manual work. Aito fills in the missing information such as the correct VAT class, chooses the correct cost center for the invoice and more. This has allowed automating a majority of the formerly tedious process, saving Posti countless of hours of mechanical work.

Apart from only invoices, you also can predict missing data points with extremely fast deployment, and without having an ML model that requires constant attention. Check our examples below!

While Comcast has a big and established data science team, those resources can't cover all the needs. Comcast's CX team was looking for nimble tools to experiment with various automations, and to prove their business value with real user trials before investing in the large build project.

Comcast found Aito to be a perfect tooling that allows them to act quick, and test any hypothese, with the resources of the customer experience team.

Labeling incoming tickets regardless of their type is a common requirement for intelligent automation. With Aito, deploying such solution is a breeze. You connect the existing ticket datasource to Aito, and then start predicting the new tickets with just one activity in UiPath.

Tutorial and a UiPath downloadable activity package coming soon, stay tuned!

Intwixt CAP (Conversational Automation Platform) turns team communication apps (Slack, etc.) into business process engines. Based on research from HBR and MIT, Intwixt DealFlow empowers companies to do real-time lead qualification and assignment while not leaving their favourite communication environment.

Intwixt uses Aito to facilitate the assignment process to match a sales rep to an incoming lead. The engine assists the sales manager to make faster decisions and shortens the time to contact a lead, which is critical for sales. The ML model used in DealFlow is customisable, so it can be extended with customer’s proprietary information when requested.

Using Aito, Testo could match reports sent by TV stations with their master media database with significantly reduced manual work. Robotic process automation often deals with legacy systems, with missing shared ID's between data. Aito is a solution.

Opportunities are endless. Just look at all the sales reports, scraped content, customer invoices, delivery reports, customer requests, customer feedback/complaints, vendor catalogues, vendor manuals and so on. What do you want to automate next?