AI AUTOMATION AGENCY
The capability of an automation agency, delivered by one senior engineer — content pipelines, AI agents and edge infrastructure that ship, and keep running, with direct accountability.
Free introductory call.
A $1,500 diagnostic, credited toward a fixed-price build.
Use the brand’s inputs and relevant research.
Draft the copy and produce the visual assets.
Send images for review and use the feedback for revisions.
Hand the accepted campaign to the publishing tool.
START WITH THE TASK
The useful question is which part of your process needs flexible judgement, and how you will know the result is acceptable.
RESEARCH & CONTENT
Retrieve relevant material, structure a response and prepare it for your publishing process.
DOCUMENT OPERATIONS
Extract fields, classify documents and route the result into the tools your team already uses.
CHOOSE THE RIGHT APPROACH
Good automation starts by ruling out the wrong tool. Some work needs the flexible judgement of an AI agent; plenty is safer as deterministic code; and a little shouldn’t be automated yet at all.
Totals, eligibility rules and other defined calculations need reproducible logic. A language model shouldn’t be the authority for a number you have to stand behind.
Better fit: SQL, typed code or a rules-based n8n workflow, with validation and exceptions routed for review.
When the sequence never changes, there’s nothing for a model to decide — and a deterministic workflow is cheaper to run and easier to trust.
Better fit: A scheduled or event-driven n8n workflow with explicit branches, retries and proper error handling.
No system can invent facts the business doesn’t hold, or resolve who owns a record when that was never decided.
Better fit: Fix the source data and add a proper data layer and validation before any decision is automated.
A consequential action shouldn’t fire just because a model — or a workflow — proposes it.
Better fit: Authenticated approval steps and constrained actions, with the system preparing the recommendation for a person to release.
If the team can’t describe an acceptable result, there’s no sound basis for evaluating what gets built.
Better fit: Run a manual pilot first — gather representative examples and agree acceptance criteria, then automate.
Low-volume work can cost less to handle by hand than to build and maintain a system around.
Better fit: A checklist, template or small utility now — revisit automation when the repeated work justifies it.
A SYSTEM YOU CAN INSPECT
This n8n case study connects research, platform-specific copy, generated images and scheduling. Images go to Slack for approval; rejected images are revised using the reviewer’s feedback. It shows where a person participates in a concrete workflow.
Read the full case studyA brand brief and the campaign requirements.
Research, platform-specific drafts and images.
Image approval and feedback in Slack.
Approved assets stored and scheduled through Late.
BEFORE IT GOES LIVE
Every system we ship needs acceptance criteria, failure examples and an operating plan — not just working code.
EVALUATION
Use representative inputs, known answers where available, and examples of incomplete or misleading inputs.
HANDOVER
Give the team a way to inspect decisions, review exceptions and adjust the workflow.
WORKING TOGETHER
The free call is an introduction. The diagnostic is the paid engagement that defines the build.
01 / DIAGNOSTIC
Identify the task, tools, data access and approval points. Agree the evaluation cases and a fixed-price implementation scope.
$1,500Credited toward the build02 / IMPLEMENTATION
Implementation, checks with representative data, deployment and documentation on accounts you control.
From $5,000Fixed price, agreed before implementation03 / ONGOING SUPPORT
Optional monitoring, fixes and improvements from the person who built the system. The support scope is agreed separately.
Scoped to your systemOptional after launchGO DEEPER
Explore the Claude workbook, or examine a document-processing workflow that extracts financial records and makes them queryable.
Straight answers on cost, ownership and what happens after launch.
Bring a representative input and an example of the output your team needs.