AI for a Customer Center
Feasibility study and AI architecture for an energy company’s customer service, plus a pilot for solar PV, energy storage, heat pumps and EV products. The scope also includes voice and chat service design.
Choose a ready-made product or build a solution for your organisation with us. We bring experience in fleets, insurance, energy and industry together with AI architecture, integrations and ongoing support.
AI Boutique ConsultingAI oversight, insurance enquiry handling, a fleet platform under your brand and cost control for leasing. Choose the process you want to improve.
A control tower for enterprise AI systems
One gateway for all traffic to language models: costs per cost centre, enforced prompt policy, PII masking and evidence an auditor can actually read.
Explore AI Watch TowerThe RFQ is decision-ready before anyone opens it
AI reads the broker’s e-mail with a dozen attachments, extracts ~130 fields, scores the risk, compares coverage and lists what’s missing. The underwriter gets a case, not a pile of files.
Explore LynxFlowCost control from estimate to individual VIN
Connect estimates, authorisations, invoices and vehicle history. Flag duplicates, work beyond approval and deviations from contract budgets. We agree the pilot and integrations with your team.
Explore the leasing offerA complete fleet platform under your brand
DigitalFleet as white-label: telematics, a prevention program, a customer-care portal and an AI assistant. An insurer, financing or automotive company offers it to fleet clients under its own brand — building brand, retention and, for insurers, the prevention effect.
Explore DigitalFleet white-labelWe work with teams moving from an idea to a solution used every day. We combine architecture, data, integrations and AI expertise with experience building and maintaining our own products.
Discuss your processExamples from energy, industry, finance and customer service. We combine work on data and AI models with integrating systems into everyday business processes.
Feasibility study and AI architecture for an energy company’s customer service, plus a pilot for solar PV, energy storage, heat pumps and EV products. The scope also includes voice and chat service design.
A system supporting field work: voice-note transcription, document analysis and report preparation. Oversight of model usage, costs and response quality.
Work on detecting anomalies and pipeline leaks using drone inspection data. Experience in image analysis and designing the combination of RGB, thermal and multispectral data.
AI and NLP for classifying, digitising and checking technical documentation in the European type-approval process for Japanese vehicle manufacturers.
Our own platform for AI oversight: a model gateway, costs by team and cost centre, sensitive-data masking and an audit trail.
A fleet platform developed with PZU: policies and claims, vehicle data, integrations and customer communication. Experience maintaining production services under an SLA.
Designing and implementing customer service systems: voicebots, chatbots, ticket workflows, communication templates and customer onboarding and retention processes.
A system for energy community administrators and members: meter data, tariffs, PV installations, net-billing and net-metering settlements and environmental indicators.
Workshops for business and technology teams: language models, agents, AI-assisted coding and safe data handling in financial processes.
VivaDrive AI for fleets, Digital Fleet telematics and tools supporting teamwork. We combine consulting with hands-on development of our own software.
Choose a problem, assess data access and agree success measures and security requirements.
Test an agreed scope and evaluate quality, costs and the impact on the team’s work.
Integrate the solution, prepare users and agree monitoring and ongoing support.
We develop and maintain our own platforms. Client projects draw on practical experience in architecture, integration and working with users.
We agree where data is processed, model access and integrations. We select client infrastructure or cloud to meet the organisation’s requirements.
We design model usage logging, access and cost controls and quality evaluation. Evidence and requirements are agreed with security and compliance teams.
We bring together architecture, data preparation, integrations and training. After launch, we agree monitoring, incident handling and support terms.