01
AI Video Production Workflows
Connect approved scripts, voice, footage and captions to a repeatable rendering and delivery workflow. This internal build formed part of our content automation system.
View the video case study
OJC LABS · AI AUTOMATION CONSULTING
AI automation consulting, from opportunity to implementation.
OJC Labs helps you choose useful AI applications, design the workflow and connect it to your existing tools. From content production to data enrichment, we turn an automation idea into a clear scope, tested approach and practical plan for delivery.
Our automation and integration services carry the work into implementation. We also design content operations, video workflows and SEO infrastructure around your team’s publishing and data needs.
AI AUTOMATION IN PRACTICE
See what an AI workflow can do
These OJC Labs builds and research workflows show how AI can support content, media and data operations. Explore the inputs, integrations and review stages behind each example to see what could apply to your business.
02
AI Research and Data Enrichment
Separate research, extraction, classification and validation into clear stages with defined outputs. Our guide to AI agents and automation workflows explains how to choose the right approach.
Explore automation services
03
Multi-Channel Content Automation
Turn approved sources into articles, audio, email, social content and video inputs through one coordinated workflow. Read how to build an AI content pipeline.
View the content case study
04
Content Enrichment for SEO
Generate structured metadata, organise content and identify relevant internal links, with validation before records are stored. This work connects to our technical SEO services.
View the enrichment case studyWHAT YOU RECEIVE
A clear scope, tested choices and an implementation plan
Consulting gives you a documented workflow, recommended integrations and clear criteria for judging output quality. Where feasibility needs testing, we build a focused prototype and record the results. You can see what to build, what it depends on and how your team will use it.
We work through four practical questions:
Which recurring tasks are worth automating?
How will the workflow connect to your tools and data?
Where do people review, approve or handle exceptions?
What scope and support will the working system need?
The recommendation can be an AI workflow, a simpler rules-based automation or an improvement to your current process. Each option is assessed against workload, output quality, integration effort and ongoing operating costs.
THE CONSULTING PROCESS
From your current workflow to a practical next step
We define the question, deliverables and fee before the consulting engagement begins. A focused prototype can be included when an integration or AI output needs testing before implementation.
- 01
Map the workflow
Review the tasks, volumes, tools and people involved. Define the outcome, the information required and how success will be assessed.
- 02
Design the approach
Choose the role of AI, the integration points and the review stages. Document the proposed workflow and its technical requirements.
- 03
Test what needs proving
Where a prototype is needed, test representative inputs, output quality and error handling. Record the findings and any limits that affect delivery.
- 04
Plan implementation
Deliver the recommended scope, priorities and operating responsibilities. Define the next step, whether it is a build, a narrower test or a process improvement.
When the workflow supports acquisition or conversion, we connect its measurement plan to our Growth Engineering work.
WHERE WE CAN HELP
AI consulting across your content, data and digital operations
We assess the full workflow: what AI should do, how information moves between tools and how your team stays in control. The work can connect to these OJC Labs services.
- 01
AI Agents and Workflow Design
Design research, classification and routing workflows with clear tasks, output formats and review points.
- 02
Content and Media Operations
Coordinate source material, editorial review, audio, video and publishing so your team can manage recurring production in one workflow.
- 03
SEO and Content Data
Structure metadata, content relationships and internal links to support technical SEO and maintain a consistent content library.
- 04
Measurement and Attribution
Plan the events and data connections needed to assess how automated activity contributes to enquiries, sales or other defined outcomes.
- 05
Web and CMS Integration
Assess how automation connects to your website or CMS, including publishing APIs, media delivery and the effect on site performance.
- 06
Data Quality and Validation
Define required fields, duplicate checks and database rules so information stays usable as it moves between tools.
DOCUMENTED OJC LABS BUILDS
Explore the systems behind our recommendations
These internal OJC Labs projects document how we build and test automation. The case studies show workflow decisions, integrations and completed outputs that inform client work.
01 · INTERNAL MEDIA OPERATION
One source queue, several publishing formats
AI is Mid connected approved source material to articles, audio, email, social content and video workflows. Validation, retries and human approval kept the production stages coordinated.
View the content case study02
From approved scripts to finished video files
The video workflow combined scripts, voiceovers, selected footage, captions and FFmpeg rendering, with file checks and recovery steps before delivery.
03
Structured content data for SEO and internal linking
The Supabase enrichment engine generated metadata, organised content into topics and identified related pages. Validation checked records before they were written to the database.
PLANNING RESOURCES
Understand the choices behind your automation
Use these guides to prepare your questions, compare approaches and understand how generation, integrations and review fit together.
CONTENT AUTOMATION
What is a content automation system?
See how sources, production rules, validation and publishing fit together in a repeatable content operation.
AI PIPELINES
How to build an AI content pipeline
Plan the stages between content intake, AI processing, review and publishing, including recovery when a step fails.
AI ORCHESTRATION
AI agents vs automation workflows: what actually works?
Compare AI agents with rule-based workflows and identify where each approach fits the task.
API PUBLISHING
Automating blog publishing with APIs
Understand how publishing APIs connect approved content to your CMS while preserving metadata and editorial checks.
YOUR STARTING POINT
Start with the support your project needs
Bring the process you want to improve and the tools your team uses. We will help establish whether the next step is consulting, a focused test or implementation.
DEFINE THE RIGHT APPROACH
- You want to identify which recurring tasks to automate first.
- You want to compare tools or automation approaches.
- Your data, integrations or expected output need testing.
- You need a documented recommendation before funding the build.
BUILD THE WORKFLOW
- Your workflow and expected outputs are defined.
- Your tools, data sources and access requirements are known.
- Your team has identified who reviews and approves the work.
- You are ready to scope delivery, monitoring and team handover.
For a project with a defined scope, delivery can begin through Web and CMS, Ecommerce or Automation and Data.
FROM RECOMMENDATION TO DELIVERY
Put the consulting work into practice
The consulting output gives implementation a clear starting point: workflow design, integration requirements, quality checks and responsibilities. OJC Labs can then scope the build and prepare the system for day-to-day use.
- 01
WORKFLOW BRIEF
The tasks, users, data sources and outcomes the automation needs to support.
- 02
TESTED APPROACH
Findings from any required prototype, with examples of output and documented limits.
- 03
IMPLEMENTATION PLAN
The integrations, review stages, monitoring and delivery priorities for the build.
- 04
PLAN YOUR IMPLEMENTATION
A delivery scope covering your tools, team handover and agreed operating support.
Delivery can bring together Automation and Data, Content Operating Systems, SEO and Indexing, Web and CMS and Growth Engineering.
COMMON QUESTIONS
Questions about AI automation consulting
What the engagement covers, how it fits your tools and what you can expect before committing to a build.
What does AI automation consulting include?
The engagement defines the workflow, recommended tools and integrations, quality checks and implementation priorities. If an AI task or integration needs validation, a focused prototype can be included. The deliverables and fee are agreed before the work starts.
Can you work with our existing tools and data?
Yes. We assess your current systems, available APIs, data quality and access permissions before recommending an approach. OJC Labs can connect automation to a CMS, database, CRM or publishing workflow where the tools support the required integration. Review and approval stages are designed around your team.
Do we need AI for every automation?
No. Some tasks work best with rules, API integrations or a clearer process. AI is useful for tasks such as interpreting source material, classifying content or drafting structured outputs. We recommend its role according to the task, the quality required and the cost of operating the workflow.
How are pricing and implementation handled?
The fee depends on the workflow, the systems involved and the testing required. We define a paid consulting scope before starting. If you want OJC Labs to build the solution, implementation and any ongoing support are scoped separately, using the findings from the consulting work.
TELL US ABOUT YOUR PROJECT
Your workflow. A clear next step.
Share the process you want to improve, the tools you use and the result you have in mind. We will review the context and recommend how to move forward.