Business challenge
Operational overload and front-desk burnout. Staff were losing hundreds of hours every month on repetitive phone calls and WhatsApp questions about available slots, service prices and exam preparation procedures. As a result, patients waited a long time for answers, which hurt the clinic's reputation.
DATUM solution
We integrated an intelligent conversational agent directly connected to the hospital information system (HIS) and doctors' calendars, fully compliant with data protection standards (GDPR). Using natural language, patients get accurate information and preparation instructions and book appointments on their own, with no human intervention. The agent also sends automatic reminders, reducing the number of no-shows.
Business value
Over 70% of appointment requests are handled fully autonomously. Valuable time of medical and administrative staff is freed up for more complex tasks and caring for patients in the waiting room, with the service available 24/7.
Business challenge
Fragmented and slow communication. From the first inquiry to check-out, staff struggle with a huge volume of repetitive questions. At the same time, valuable opportunities for direct bookings (avoiding OTA commissions) and for selling additional hotel services are missed, because staff have no capacity for proactive selling.
DATUM solution
Implementation of an omnichannel AI Concierge deeply integrated with the PMS (Property Management System) that follows the entire guest journey in multiple languages. The system checks availability, offers dynamic pricing and guides the user to a direct booking. Before arrival, the agent proactively offers upsells (airport transfers, wellness packages, VIP parking). During the stay, it handles requests such as room service, table reservations and personalised recommendations via WhatsApp. After departure, the system collects reviews and encourages loyalty.
Business value
More than 60% of all guest communication automated, a significant increase in conversion rates for direct bookings and more efficient monetisation of additional hotel amenities, all with a premium, personalised guest experience.
Business challenge
A high volume of unfiltered online inquiries from various sources was slowing down sales teams. Because of manual processing, potential buyers often waited hours for a first response, which in the digital age led to quick drop-offs and hot leads being lost to the competition.
DATUM solution
We developed an AI agent that starts the conversation with a potential buyer in real time (24/7). The bot performs intelligent triage: it defines the budget, equipment preferences, preferred financing method and purchase timeline. It then matches this data against available stock in the CRM and delivers a highly qualified lead directly to the responsible sales advisor, together with the full context of the conversation.
Business value
First response time was reduced from several hours to under 30 seconds. This instant reaction dramatically increases the chances of closing the sale and optimises the sales team's working time.
Business challenge
Finance and accounting departments were losing hundreds of working hours every month manually reviewing, retyping and validating incoming invoices received through different channels (paper, PDF, email) before booking them into the ERP system, with frequent data entry errors.
DATUM solution
Using advanced cognitive OCR and machine learning, the DATUM Agent independently "reads" unstructured documents in any format. The system precisely extracts key entities (supplier, IBAN, tax amounts, dates, individual line items) and performs automatic 3-way matching. It prepares a structured dataset that is automatically injected into the accounting system for final approval.
Business value
Processing time per invoice was cut from an average of 8 minutes to under 1 minute. Human data entry errors were almost completely eliminated and the monthly financial close was accelerated.
Business challenge
During high-volume hiring campaigns, HR departments spent days manually reading hundreds of unstructured CVs to identify candidates who meet the minimum technical and experience requirements. The process was slow and prone to unconscious bias.
DATUM solution
The AI Agent semantically analyses and structures data from incoming applications, regardless of CV format. It compares candidates' skills and experience against predefined competency frameworks (job descriptions) integrated into your ATS (Applicant Tracking System). It eliminates bias by focusing exclusively on qualifications and delivers a highly accurate shortlist to HR professionals for the final interview.
Business value
The time needed for the initial screening of 200 candidates was reduced from two full working days to less than 30 minutes, ensuring faster hiring (time-to-hire) of the best talent.
Business challenge
Contact centres are chronically overloaded with repetitive first-level requests (account balances, tariff changes, order status checks, routine technical issues). This generates high operator costs and increases waiting times for customers with more complex problems.
DATUM solution
We integrated an advanced NLP (Natural Language Processing) agent deep into the CRM and the corporate knowledge base. The agent recognises the customer's intent and sentiment and delivers hyper-personalised answers in a fraction of a second. For complex requests, it performs a seamless escalation to a human operator, handing over the full transcript and context of the conversation.
Business value
Deflection of up to 50% of incoming traffic (requests resolved with First-Contact Resolution without human intervention), with a significant increase in customer satisfaction (CSAT) and reduced stress for agents.
Business challenge
In the complex B2B sector, sales teams were spending too much time on the operational work of creating quotes: searching extensive catalogues, aligning with complicated discount policies and adapting specific commercial terms, which slowed down the sales cycle.
DATUM solution
The agent mines data from the CRM, ERP and PIM (Product Information Management) in real time. Based on the given parameters, it automatically generates an optimised draft of a complex quote. The AI also proactively suggests up-sell and cross-sell opportunities based on the customer's history. The sales representative only verifies the data, and the system automatically generates a professional PDF document.
Business value
The time to create a standard, accurate B2B quote was cut from 45 minutes to under 5 minutes. Sales teams refocus on strategic selling and building relationships instead of administration.
Business challenge
The IT department is bombarded daily with trivial internal tickets (password resets, VPN configuration, granting system permissions, connecting to printers), draining expensive engineering resources that should be working on strategic projects and cybersecurity.
DATUM solution
The conversational assistant is deeply connected to the ITSM procedure base and Active Directory. It guides employees step by step through interactive troubleshooting in a conversational format. It enables secure self-service access (such as automatic password resets) and forwards only specific and critical incidents, with full diagnostics already collected, to the System Admin team.
Business value
The number of helpdesk tickets requiring manual intervention was reduced by 40%, with dramatically faster resolution time and higher employee satisfaction with internal support.
Business challenge
The problem of "information silos". Employees in large and highly regulated organisations spent huge amounts of time searching through thousands of pages of internal policies, legal contracts, ISO procedures and compliance documents to find one specific clause.
DATUM solution
Implementation of an advanced RAG (Retrieval-Augmented Generation) architecture with strict access controls (employees see only what they are authorised to see). The user asks a complex question in everyday language, and the AI agent instantly delivers a precise, synthesised answer with a mandatory and accurate citation (link) to the internal source document the information was taken from.
Business value
Finding verified, specific information, which used to take 15 to 30 minutes, is now flawlessly completed in a few seconds, dramatically increasing the productivity of the entire organisation.
Business challenge
Under deadline pressure, field engineers had to manually consult massive, hard-to-navigate technical specifications in PDFs or interrupt more experienced senior colleagues to diagnose specific, rare faults on complex industrial equipment.
DATUM solution
A portable (mobile-first) AI assistant trained on the complete intervention history, schematics and the manufacturer's full technical documentation. The engineer describes the symptoms of the fault, and the agent analyses probabilities in real time, suggests the most likely causes, checks spare part availability in the warehouse and provides the optimal step-by-step troubleshooting procedure.
Business value
The average time needed to find the right service procedure was reduced from 20 minutes to under 2 minutes, dramatically speeding up interventions, reducing downtime of expensive equipment and raising the First-Time Fix Rate.