For businesses
AI and Automation Audit
Everyone's telling you to automate. Nobody's told you what to actually automate, or whether it's worth it.
You've been sold AI. Your team is experimenting with ChatGPT. You're paying for tools nobody uses. A vendor has pitched you on an agent that will "transform your operations." You don't know which, if any, of this is real.
This audit maps your actual workflows, identifies where automation delivers ROI, and gives you a prioritised plan. No tool pitch. No hype.
Why this exists
Why this service exists
Not enterprise AI projects. Not chatbots on your homepage. The real mid-market automation wins are the workflows that currently involve:
- Manual data re-entry between systems
- Report generation and formatting
- Client communications with predictable structure
- Approval chains and hand-offs
- Content operations (briefs, drafts, publishing)
- Billing, invoicing, and reconciliation
These are the workflows where modern AI and automation deliver real hours back, with reasonable implementation cost and low ongoing maintenance.
What I bring
Receipts and credentials
Most providers selling AI and automation jump straight to "let's build something." That works for them. It rarely works for the client. You end up with a bespoke build solving a workflow that wasn't the real bottleneck, or a tool that looked impressive in the demo and gathers dust in month three.
I map the opportunity before anyone builds anything. What your team actually does, where the manual work is, where the data lives, which workflows are worth automating, and which are better left alone. The right diagnosis sits at the intersection of business operations, data architecture, and technical feasibility. Then you get a roadmap you can act on, with or without me.
Two-stage structure
What this looks like in practice
At a large residential homebuilder I built the automation pipelines that cut 80% of the manual production work across the marketing team:
- Floorplan SVG processing. 30 minutes per floorplan, reduced to seconds.
- Image processing pipeline. Automatic whitespace detection, auto-crop, format conversion. Eliminated manual image prep entirely.
- API-driven publishing integrations. House and land package publishing: 30 minutes per package, handled automatically. Home design publishing: 2 hours per design, automated.
Running my own practice, I've built:
- Human-in-the-loop billing automation. Queries ClickUp for billable hours, Slack confirmation step for human review, dispatches to bookkeeping software, sends the client invoice. Multi-system orchestration, zero manual intervention after human sign-off.
- Production LLM integration. Connected a large language model to a headless CMS via a custom MCP server using the CMS GraphQL API. Live content operations driven by the AI against real CMS data.
Around two years of hands-on production AI use across OpenAI, Anthropic, and open-source models. Not prototyped. Built, deployed, used.
Tools and platforms
Pricing
Pricing
From $2,500 for the standard audit: workflow mapping, opportunity prioritisation, written report, and a recorded walkthrough.
For enterprises with more complex workflows or multiple business units, custom scopes available on request. Discovery call is free.
Next
What happens next
The discovery session is the right starting point. Two hours, $750, applied against Stage 2 if you proceed.
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