AI that gets work done. With you in control.
AI can help your business move faster, find information and complete everyday tasks. But it also needs to work within the rules, permissions and processes you already rely on.
This is why trust and control are central to our approach to Klipboard AI.
We're building AI around the industry-specific software that manages your customers, stock, orders, equipment, parts and financial processes. The aim is to make AI more useful without losing the oversight and accountability that matter to your business.
Built into your business. Built around your rules.
The value of AI comes from helping people get work done, not just answering questions.
This might mean checking stock, preparing a sales order, managing a hire booking or finding the right automotive part.
But these tasks don't happen in isolation. They depend on customer permissions, product information, pricing rules, availability and existing commitments.
Klipboard AI is built around these operational requirements, connecting intelligence with the systems and processes your business already uses.
Supporting this approach is the Klipboard AI Control Plane, a central part of our wider AI Platform architecture. It is designed to bring together the governance, permissions and oversight needed to manage how AI agents interact with business information and processes.
AI works with your business processes, not around them.
Control at every step
As AI becomes more capable, maintaining control over what it can access and do becomes increasingly important.
The Klipboard AI Control Plane is being developed to provide a consistent approach to managing AI agents, their permissions, available actions and the oversight needed across connected business workflows.
It brings together five important areas of AI governance:
Identity and access
AI interactions are governed by user identities, permissions and the access controls associated with the relevant business systems.
The aim is simple: AI should not become a shortcut around the permissions already in place.
Defined actions and guardrails
AI agents work with defined capabilities and established business rules.
For example, checking stock availability is different from creating an order. Each action needs to be managed according to its purpose, permissions and operational requirements.
Human oversight
People remain an important part of the process.
Our approach supports human involvement where decisions or actions require additional oversight, particularly when transactions have financial or operational consequences.
Visibility and accountability
Understanding what an AI system has done is essential to maintaining confidence in its use.
Our platform approach incorporates monitoring, audit records and visibility into AI activity, helping businesses understand how connected processes operate.
Controlled connections
When external AI assistants interact with Klipboard through Model Context Protocol (MCP), access is governed through defined connections to Klipboard product capabilities.
This provides a way to extend AI interactions without giving external assistants unrestricted access to business systems.
From a question to an action. With controls in place.
Consider a distributor asking an AI assistant to help fulfil a customer order.
The request might involve:
Identifying a product
Checking stock across branches
Confirming availability
Preparing an order
Each step involves more than understanding the question. The software must also consider the customer's account, relevant pricing, stock commitments and the permissions governing the transaction.
Klipboard's approach connects AI with this operational information and the business rules that govern how work is completed. This helps teams progress everyday tasks while keeping important decisions and controls within the systems responsible for them.
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Connected AI without unrestricted access
Businesses increasingly use AI tools alongside their existing software.
Model Context Protocol provides a standard way for external AI assistants to interact with tools and information made available by connected systems.
Klipboard MCP extends our approach to connected AI by providing governed access to selected Klipboard product capabilities.
The important distinction is that an external assistant doesn't need unrestricted access to the underlying ERP or business database.
Instead, it requests functionality through defined connections, with the relevant Klipboard product responsible for applying its business rules and permissions.
Klipboard MCP is currently in private preview, with a defined scope of participating customers, supported actions and validated connections.
Practical AI, introduced with care
AI capabilities are developing quickly, but introducing them into business operations requires more than making new technology available.
It means understanding how people work, which processes can be supported and where additional controls or human involvement are needed. Our approach focuses on:
This is how we make AI a practical and trusted part of everyday business operations.
Frequently asked questions
Klipboard's approach is to connect AI capabilities with the access controls and permissions of the underlying business software. The exact controls depend on the product and functionality being used.
AI can support different types of tasks, from retrieving information to carrying out supported actions. Where human approval is required, the relevant workflow must account for that requirement. The level of autonomy and oversight depends on the product and capability.
Klipboard MCP provides a governed way for external AI assistants to interact with selected Klipboard capabilities. The service is currently in private preview, and access is limited to the connections, permissions and actions supported within that scope.
No. Klipboard's approach is to build AI around established product functionality and business processes, rather than allowing AI to bypass the rules that govern operational activity.
Our approach centres on appropriate access controls, human oversight, defined actions and accountability. These principles inform how we develop AI capabilities across our industry-specific software.
Klipboard is developing embedded AI capabilities alongside a wider AI Platform architecture, including governance, connectivity and orchestration components. Individual capabilities are introduced according to product development and release plans.
The Klipboard AI Control Plane is part of our wider AI Platform architecture, designed to provide central governance over how AI agents access information, use approved capabilities and interact with business processes. Its approach brings together permissions, defined actions, human oversight and monitoring, helping businesses retain control as AI becomes more closely connected to everyday operations.
AI you can put to work with confidence
We believe the most useful AI is built around real business needs, supported by industry knowledge and introduced with the right controls.
That's the thinking behind Klipboard AI: helping people work more effectively while keeping businesses in control of the processes that matter.
