EORA

Pilots that move toward production in about eight weeks

EORA works on AI agents for large organizations: it designs them, builds them and gets them running. Its own history in this field starts in 2016, and it sets most engagements out as a pilot of about eight weeks, with performance measures agreed in advance. Its stated position is that AI should produce measurable results rather than remain a set of prototypes.

An AI Sprint to test one or two use cases

The starting point is an AI Sprint. Within about eight weeks the team identifies high-impact use cases, builds a working pilot for one or two of them, and tests the business case for the investment. The firm says it assesses the expected impact, including an estimate of how many full-time staff hours the work could free, and that it prepares the data so the client's team can use the result in its daily work.

Taking a pilot into production

Once a pilot shows value, EORA moves it into production. The steps it names are choosing the technology stack, designing the architecture, connecting the data and systems, and setting up quality metrics, testing and monitoring. Access control, security and the handling of personal data, along with the compliance rules that apply to it, are part of the same stage. The firm presents this as a way of getting from prototype to live use quickly and with safeguards in place.

Agents that help a contact centre's own staff

For contact centres, the firm deploys agents that reply automatically to routine requests and handle repetitive queries. They also assist human agents in real time, and they connect to a company's customer relationship management and telephony systems. The outcomes the firm aims for are better service quality, closer compliance with call scripts, a lower average handling time and less pressure on the queue.

Ready-made agents for search, support, HR and finance

Alongside custom projects, the firm offers pre-built AI solutions for search, support, human resources and finance. These are presented as a faster starting point where a standard agent fits the need. A client who needs something tailored can move from the standard version to a bespoke build within the same engagement.

Earlier projects: food ordering and community bots

Earlier work includes a messaging bot built for WorkEat, a business concept that sold food in offices without a salesperson. An office worker photographs the product they want in the office micro-market and sends the picture to the bot. The bot recognises the product from the photo, builds a basket, works out the calorie count and sends a payment reminder at the end of the day. The firm also built a communication bot for residents of the Skolkovo Technopark, a technology park with a large number of people, and it ran a joint webinar with Dodo Pizza on using a bot to save money.

Clients in enterprises, contact centres and retail food

EORA says it serves enterprises and addresses its work to executives, to directors of AI and machine learning, and to heads of contact centres. Its earlier clients have come from restaurants, delivery services and fast-moving consumer goods. The firm also cites a business development team that won first place at an e-commerce hackathon in Qatar with a concept for personalised avatars for online retailers.