People copy the same information between tools
Map the source, destination and ownership of each field, then automate a defined handoff.
I build automation that connects the tools your team already uses and gives repeated work a clear route from trigger to outcome. When a step needs interpretation, an AI model or bounded agent can help. When rules are enough, straightforward automation keeps the process easier to understand.
Discuss this serviceMap the source, destination and ownership of each field, then automate a defined handoff.
Use AI for bounded tasks such as organizing information or preparing a draft, with checks before consequential actions.
Limit the available tools, define approvals and make failed or incomplete runs visible to the person responsible.
Document the trigger, inputs, desired result, exceptions and the person who owns the workflow.
Choose rules or model reasoning for each step, then define permissions and approval boundaries.
Implement integrations, validation, state tracking and the agreed human checkpoints.
Test normal runs, duplicate events, tool failures and recovery, then document how to operate or stop the workflow.
We agree what is included before I start. These are the usual things you receive, based on your project.
An incoming enquiry is organized into a draft brief and routed to a person for approval before any external action. No client result or time-saving percentage is implied.
Talk about a similar ideaPredictable rules often work best as ordinary automation. An agent is considered when a bounded step needs interpretation or flexible tool selection.
Yes. Approval can be required before specified messages, record changes or other consequential actions.
I assess its API capabilities, account permissions and rate limits before including a connection in the scope.
The workflow should have explicit failure states and an appropriate retry or manual-review path. Recovery behaviour is part of the design.
The degree of automation follows the task and its consequences. I do not promise unrestricted autonomy; monitoring and exception ownership remain important.
A useful first workflow has a clear trigger and a result someone can check. For example, an incoming enquiry might be organized into a draft brief and routed for review. This is an illustrative application, not a claim about a deployed customer system or hours saved.
The model may interpret a request or propose a tool action. The application still needs to enforce permissions, validate parameters and restrict what can happen. External content can contain misleading instructions, so a prompt alone is not an adequate boundary for a tool with real consequences.
The design considers partial completion, provider timeouts and repeated events. A retry should not casually send the same message twice or create duplicate records. The exact recovery mechanism depends on the action, and a responsible person needs a way to inspect unresolved runs.
The estimate depends on the systems involved, permissions, exception cases and the level of model reasoning required. Provider fees, model usage and ongoing support are separate. Bring one manual process and the tools it touches; the first deliverable is a clearer picture of what should and should not be automated.
Bring one repeated process, the systems it touches and the action you want an agent to propose or perform. Identify which steps need your approval and how exceptions should reach a person. I will use those boundaries to define a pilot with a checkable result.