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SERVICES / AI DEVELOPMENT & AUTOMATION / AI WORKFLOW AUTOMATION & AGENT DEVELOPMENT

AI Workflow Automation & Agent Development.

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.

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IDEA
→
SYSTEM
01Map
02Design
03Connect
04Exercise
WHERE THIS HELPS

Less manual handoff, with visible decisions and recoverable failures.

01

People copy the same information between tools

Map the source, destination and ownership of each field, then automate a defined handoff.

02

Work stalls when a request needs interpretation

Use AI for bounded tasks such as organizing information or preparing a draft, with checks before consequential actions.

03

An agent demo is too unpredictable to operate

Limit the available tools, define approvals and make failed or incomplete runs visible to the person responsible.

THE APPROACH

A path from
problem to product.

01

Map

Document the trigger, inputs, desired result, exceptions and the person who owns the workflow.

02

Design

Choose rules or model reasoning for each step, then define permissions and approval boundaries.

03

Connect

Implement integrations, validation, state tracking and the agreed human checkpoints.

04

Exercise

Test normal runs, duplicate events, tool failures and recovery, then document how to operate or stop the workflow.

WHAT YOU GET

More than a
final screen.

We agree what is included before I start. These are the usual things you receive, based on your project.

PythonAgentic AILLM APIsREST APIsWebhooksWorkflow state and logs
  • 01Workflow map and automation boundary
  • 02Connected triggers and approved actions
  • 03Validation and human-approval steps
  • 04Failure, retry and duplicate-event handling
  • 05Representative run tests and logs
  • 06Operating guide and dependency handover
IN CONTEXT
Illustrative application — not a client case study

An enquiry-to-brief workflow

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 idea
USEFUL TO KNOW

Before
we begin.

Do I need an AI agent or ordinary automation?+

Predictable rules often work best as ordinary automation. An agent is considered when a bounded step needs interpretation or flexible tool selection.

Can a person approve actions first?+

Yes. Approval can be required before specified messages, record changes or other consequential actions.

Can you connect the software we already use?+

I assess its API capabilities, account permissions and rate limits before including a connection in the scope.

What if a tool or model fails?+

The workflow should have explicit failure states and an appropriate retry or manual-review path. Recovery behaviour is part of the design.

Can the system run entirely without supervision?+

The degree of automation follows the task and its consequences. I do not promise unrestricted autonomy; monitoring and exception ownership remain important.

BEYOND THE BRIEF

Start with one repeated process

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.

BEYOND THE BRIEF

An agent is one component, not the whole control system

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.

BEYOND THE BRIEF

Plan for the run that stops halfway

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.

BEYOND THE BRIEF

A pilot with explicit operating responsibilities

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.

BEYOND THE BRIEF

Scope one agent workflow

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.