Posti, the largest postal service operator in Finland, is using Aito to automatically process purchase invoices which previously required constant manual work. Aito is used from UiPath and 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!

Posti's invoice automation was developed in co-operation between client RPA CoE, Aito and our partner Sisua Digital.

RPA specialist Q-Factory and home renovation company Jokiväri were the first to experience the power of the Aito Evaluations feature. In just hours, Q-Factory was able to show the automation potential using real data, and help the CFO Maiju Asikainen give green light for the implementation.

As a result, Jokiväri decreased the time and effort spent on manually processing purchase invoices on their ERP software Lemonsoft, and QAutomate enhanced its own RPA abilities with super-fast intelligent automation, paving the way for improved RPA solutions going forward.

The Aito Console’s new feature, Evaluations, goes beyond the limitations of rules-based RPA. Outcomes are able to help your development team spot issues in the data and adjust expectations accordingly.

To find out more about how the Evaluations view in the Aito Console works, check out this blog post or the video.

They faced a challenge with technical questions taking time from senior engineering staff. After testing several alternatives, like Google Chat Bots, Ada and more, they found help from Aito.

In merely a few hours of development effort, GridPane's team connected the historical ticket data from Freshdesk to Aito, allowing senior support staff to control the training material, as well as integrated the best-suggested responses for new incoming tickets.

With Aito's help, the frontline support staff quickly find the best solutions from the past on their Freshdesk support software, and GridPane can support their fast-growing user base without linear growth in support staffing.

Next, GridPane is looking to use Aito for predicting user churn. Stay tuned!

Tilisi offers best-in-class service for customers that outsource their accounting and payroll operations. Several specialists of different fields serve customers, and Tilisi used to have hard-coded routing rules in Freshdesk: "if the topic has X or the sender is Y then person Z should get the message". Unfortunately, the maintenance of these rules needed constant attention as the company was growing.

Tilisi implemented a set of Integromat scenarios to manage ticket routing based on machine learning predictions from Aito. These workflows both read incoming tickets and assign them to the right person and keep the training data up to date in Aito automatically.

The result: Tilisi's CEO Riku Ryödi has more time to sell and grow the business when recovering at least 4 hours per week from manually assigning the tickets and managing the routing rules. That is half a day more to engage with customers!

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.

The triage's basic principle is to look at the incoming new ticket and assign it with the right category, urgency and other information critical for efficient processing by the right agent. This results in faster response times and happier customers and removes repetitive and dull tasks for the team.

Tickets are first categorised and sub-categorised according to the structure already defined in FreshDesk. Then the urgency is predicted and a similar history cases search is done. Lastly, the ticket is assigned to the agent. All the above is done without Data Scientists. Or starting to pay the big additional license cost extras of the customer service platforms.

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, Teosto 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?

Using Aito, Helsingö took their order handling to the intelligent automation era. Now, whenever a customer uploads a PDF to the Helsingö kitchen price estimation, the Ikea products in their order are automatically matched to the corresponding Helsingö products with the correct model, color and size. Saving time from both the sales rep and the customer.

Aito's partner Columbia Road was delivering the end-to-end automation to Helsingö.