Services
01
AI Strategy
From Problem to Solution
Opportunity Analysis
We analyse your processes, objectives, data and tools to identify viable use cases with measurable returns.
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Process Analysis
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Use Case Identification
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Impact Prioritisation
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Technical Feasibility
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ROI Estimation
Plan, Architecture and Budget
We define how to build the solution, which technologies to use and the investment required for each phase, with a clear and achievable roadmap.
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Functional and Technical Architecture Design
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AI Model Selection
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Budget and Timelines
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Systems Integration
Governance, Control and Evolution
We establish the controls required to keep AI secure, cost-effective and able to evolve without depending on a single model or provider. We also resolve issues arising from changes in generative models.
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Cost Control
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Security and Privacy
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Risk and Compliance
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Quality Metrics
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Model Evolution and Changes, Issue Resolution
02
Development
Chatbots, Copilots and Automated Processes
Chatbots and Copilots
We create solutions that converse, retrieve information, generate content and perform tasks within your company’s processes.
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Customer Service Chatbots
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Enterprise Knowledge Assistants
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Enterprise Integrations
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Tool-Enabled AI Agents
AI Document Processing
Using our own generative AI solution, we can automate document reading, information extraction, summarisation and complete onboarding workflows.
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Document Processing
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Information Extraction
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Summaries and New Document Generation
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Onboarding Workflows
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Data Privacy
Automated Processes
Using generative AI, we can automate a wide range of workflows, reducing their operating costs by up to 50%.
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Assistants for Operators and Technicians
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Order and Incident Automation
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Processing Reports, Manuals and Documentation
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Integration with Existing Software
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Reporting, Traceability and Operational Control
03
GENERATIVE AI
Generative AI Experts
Generative Models
Our experts can manage every stage of your AI models, from prototyping to production deployment. Private or public solutions are selected according to your needs.
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Model Selection: Private or Public
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Fine-Tuning and Adjustments
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Consumption Reduction
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Licence and Scope Management
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Required Infrastructure or Cloud Environment
Infrastructure
We anticipate the infrastructure required to run your generative models, both on premises and in public cloud environments.
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Public Cloud Selection
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Infrastructure Development
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Required GPUs and Resources
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Scalability and Model Changes
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Applicable AI Regulations
Cost Control, Security and Monitoring
We monitor quality, bias, security, cost and performance so solutions remain reliable in production and continue to evolve through regulatory or model changes.
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Cost and Token Usage Control
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Guardrails Throughout the Process
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Model Security, Penetration Testing and Auditing
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End-to-End Monitoring
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Model and Regulatory Changes
