Automation & AI Execution
Connect systems, automate repetitive workand orchestrate intelligent processes
with people in control.
Many organizations already have individual automations and are experimenting with AI agents.
But a collection of workflows and agents does not automatically create a scalable operating capability.
As processes cross applications, teams and decision points, organizations need dependable integrations, structured execution, appropriate autonomy and clear oversight.
We combine workflow automation, AI models, agents and connected business systems to redesign how work gets done, while maintaining visibility, accountability and governance.
Workflow platforms connect applications, move data, coordinate tasks and execute repeatable business logic.
They are particularly valuable when processes cross CRM, marketing automation, databases, communication tools and other business applications.
Make is a core implementation platform for Chapman Bright. We are also developing n8n as an alternative, while understanding other integration platforms that clients may already use.
Platforms: Make.com, n8n, Microsoft Power Automate, Workato, Adobe Workfront Fusion, Zapier.
Explore Make.comAI agents can interpret context, use tools and contribute to decisions and actions within business processes.
But real operational value requires more than an individual intelligent agent.
Agents need to work with structured workflows, permissions, shared context, human approvals, monitoring and exception handling.
We are developing these capabilities through Make AI Agents, MakeOS and other agent technologies, applying our COSMIC framework to address production reliability, security, monitoring, continuous improvement and cost.
Platforms: Make AI Agents, MakeOS, n8n, Microsoft Copilot Studio, Notion Agents, LangSmith.
Explore Make.comAI models provide capabilities such as language understanding, reasoning, classification, extraction and content generation.
We connect these capabilities to real business processes rather than treating a particular model as the solution itself.
Model selection depends on the required quality, data handling, performance, economics and operational constraints.
Platforms: OpenAI Platform, Anthropic, Google Gemini and relevant agent development technologies.
Some business information and activities are not readily available through structured integrations.
Browser automation and external data collection can help retrieve relevant information, monitor developments and support research workflows.
We evaluate these capabilities with attention to source reliability, permissions, platform restrictions and maintainability.
Platforms: Apify and suitable browser automation technologies.
LinkedIn-specific workflows using Browserflow are covered under Connected Business Systems.
Conversational AI introduces new ways for customers, prospects and employees to interact with business processes.
Voice agents can support information requests, qualification, scheduling, service intake and other structured interactions, while connected systems provide context and execute appropriate actions.
Human escalation and control remain essential when situations require judgment or accountability.
Platforms: Vapi, ElevenLabs, Bland AI.
We focus on the complete operating process: what triggers the work, which steps can be automated, where AI adds value, what remains human, and how the result is monitored and improved.
Sometimes a deterministic workflow is the right answer. Sometimes an agent is useful. Often the strongest solution combines both.
We use ADOPT to design the complete operating change and COSMIC when production-grade agent systems introduce additional design requirements.