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AI assistants and agents
Assist with finding approved information, drafting responses or preparing actions. Define what the assistant can access and when a person must approve.
AI automation · CRM, ERP and business integrations
Connect your website, CRM, ERP and internal tools. Use AI for the tasks that benefit from it, with defined permissions, human review and a clear operational purpose.
What the service solves
Nomadic Digital builds business integrations and practical AI workflows for teams moving information between disconnected tools. We identify where a rule-based automation is enough, where AI can assist, and where a person should remain in control. The goal is a workflow your team can understand, use and maintain.
Scope of work
We agree the use case, required access, source data and acceptance criteria before implementation. Depending on your systems, the work can include:
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Assist with finding approved information, drafting responses or preparing actions. Define what the assistant can access and when a person must approve.
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Connect forms, contact records and follow-up steps. Route enquiries and update the agreed fields without repeated manual copying.
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Connect product, stock, order or customer data where the systems support it. Agree data ownership, sync rules and exception handling.
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Scope extraction or classification of information from documents, with validation and a review step for incomplete or uncertain results.
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Connect existing services through available APIs and business rules. Handle failed requests, duplicates and events that need manual attention.
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Build draft-generation or internal reporting workflows around approved inputs. Keep publishing decisions and consequential actions under agreed controls.
Relevant portfolio work
Our portfolio includes CRM-connected websites, an AI-assisted content workflow and ERP-connected commerce. Each example describes its own delivered scope.
How we work
Identify the people, systems, repeated tasks and exceptions. Choose a bounded use case with an observable outcome.
Review API availability, permissions and data quality. Agree system boundaries, human review and how to handle failures.
Implement the workflow and test representative cases with your team, including missing information and failed integrations.
Document how the workflow operates, agree ownership and support, and improve it using observed usage and exceptions.
Before we start
AI can help interpret or draft unstructured text. Fixed rules are often more suitable for predictable data transfers and calculations. We assess the task first and combine approaches only when useful.
We first check its API, export options, permissions and any vendor restrictions. The integration scope depends on what the systems allow and which data or actions you need to connect.
Only within the permissions and actions agreed for the project. Approvals, validation and escalation can be part of the workflow. We do not present AI output as infallible or promise a fully autonomous business operation.
Not automatically. An integration or a small workflow may solve the problem. Custom software becomes relevant when existing tools cannot support an important process or create recurring limitations that justify the work.
Scope depends on the workflow, systems, data preparation, permissions, testing and support needs. We agree deliverables and acceptance criteria after discovery, with platform, model and third-party usage costs identified separately.
Start with one concrete process
Tell us which tools you use and where work gets repeated or delayed. We will discuss a practical first workflow and what it takes to connect it.