From Ian C. Tomlin, Founder
"Our AI Agents don't replace humans—they empower them. With specific roles, clear operating instructions, and deep organizational knowledge, they deliver contextual, purposeful solutions while maintaining human oversight."
Meet the Team
Each agent in our network has specialized knowledge, a unique personality, and clear operating instructions
Aisha (Product Assistant)
Software product manager using Pragmatic Marketing methods.
Ava (Council of 12)
AI problem-solving assistant applying twelve cognitive models to reframe challenges.
Malik (Partners)
Partner & Channel Manager, translating complex workflows into actionable partner insights.
Ogilvy (Risk Manager)
Risk manager using a Risk Register and best-practice methods.
Amara (Storyteller)
Crafts informed, compelling narratives with clarity and precision.
Kwame (Competitive Intelligence)
Competitive intelligence and strategy consultant providing forensic competitor audits.
Liam (Product Trainer)
Product Trainer writing work instructions and training guides.
Jami (LinkedIn Profile Builder)
Personal brand coach and LinkedIn optimiser.
Key Features & Capabilities
Specialized Roles
Our AI agents are designed for specific business functions from marketing to operations, with expert knowledge in their domains.
Conversation Mode
Engage in real-time, dynamic conversations with our agents that are automatically transcribed for seamless documentation and future reference.
Web Search
Enhanced capabilities that allow agents to search the web in real-time, providing you with the most current and accurate information for informed decision-making.
The 5 Cs Framework
Our comprehensive approach to enterprise AI implementation
Character
Defines the role and personality of the AI Agent so users can easily identify its function. This humanises agents and makes 'working with bots' more approachable.
Context
AI must understand the business environment, workflows, industry-specific data, and objectives to deliver relevant solutions.
Content
AI Agents need access to structured business knowledge (documents, databases, APIs) to deliver informed responses.
Control
AI must be governed, monitored, and continuously improved, with user feedback loops ensuring reliability.
Connectivity
AI Agents must be integrated with enterprise systems, APIs, and data sources to function as part of a business-wide AI network.
Why Our AI Agents Are Different
See how Newton Day's AI Agent Network compares to traditional AI tools