AI Business Automation
Data extraction, report writing, document processing, lead qualification. If a person on your team does it manually and it follows a pattern, AI can do it instead — fixed price, delivered in weeks.
Replies within 2 hours on weekdays. No calls — describe the task over chat and I'll scope it in writing.
Four categories of manual work that AI handles well.
Feed invoices, contracts, forms, or PDFs into a pipeline — AI pulls the data you need into your spreadsheet, CRM, or database. No manual re-keying.
EXAMPLES
Connect your data sources and have AI write the weekly summary, client report, or performance update automatically. You review and send — the writing is done.
EXAMPLES
A custom AI assistant trained on your docs, FAQs, and processes. Customer support, internal knowledge base, or lead qualification — available 24/7.
EXAMPLES
Connect your tools and add AI decision-making in the middle. AI reads an email and creates a task. AI reviews a submission and routes it. AI categorises and tags automatically.
EXAMPLES
What AI automation actually looks like in practice.
BEFORE
Team member spends 4 hours every Friday pulling numbers from GA4, Search Console, and Meta Ads into a client deck.
AFTER
Automation pulls all data and drafts the report. Team member reviews and sends. Time: 20 minutes.
BEFORE
Finance team manually reads PDF invoices and re-enters vendor name, amount, date, and line items into accounting software.
AFTER
Upload a PDF — AI extracts all fields and creates the entry in the accounting system, with human review before commit.
BEFORE
Sales rep reads every contact form submission and decides whether to reply or ignore. Takes an hour a day across 30–50 submissions.
AFTER
AI reads each submission, scores it, drafts a personalised reply for promising leads, auto-replies to low-quality ones with a template.
Fixed price based on what you need. No hourly billing, no scope creep surprises.
$2,000–$5,000
1–3 weeks
One well-defined automation: extract data from X, put it in Y, with error handling and a simple UI to manage it.
$5,000–$12,000
3–6 weeks
A chain of automations that work together — e.g., ingest a document, extract data, enrich with AI, write a report, send to the right person.
$12,000–$25,000
6–10 weeks
Multiple automations with a dashboard to manage them, monitor runs, handle errors, and override the AI when needed.
No calls needed. Everything scoped and agreed in writing.
Send me a message describing what someone on your team does manually. Screenshots, spreadsheets, or a voice note description — whatever is easiest. I turn that into an automation spec.
No calls needed. I work from written descriptions.
I break the automation into steps, identify where AI adds value vs where simple logic is enough, and give you a fixed price with a delivery timeline.
Scope is written down before anything is built.
You get a working test version to run against real data. We iterate until it handles your actual edge cases, not just the happy path.
Error handling and fallbacks are not afterthoughts.
Full documentation of what was built, how to operate it, and how to adjust it. Two weeks priority support included.
Code is yours. No recurring platform fee.
If the automation does not do what the agreed scope describes, I refund in full. The scope is in writing before I start — there's no ambiguity about what was agreed.
No. I build a simple interface to run, monitor, and override the automation. You don't need to touch code or prompt engineering — it works like a normal internal tool.
Every automation I build has a human review step for anything consequential. The AI does the bulk work, a person approves before anything gets sent or saved. Error logging is included so nothing fails silently.
Claude (Anthropic) and GPT-4 (OpenAI) for most tasks — depending on which performs better for your specific use case. I test both and recommend based on accuracy and cost. You use your own API keys so there's no markup.
Yes. Most automations I build connect to existing tools via their APIs. Common integrations: HubSpot, Salesforce, Google Workspace, Notion, Airtable, Slack, email providers, and most tools with a public API.
Zapier and Make handle simple trigger-action automation. They break down when you need AI judgment — reading an unstructured document, deciding how to classify something, writing something contextual. I build the AI layer on top of or instead of those tools, for the parts that need actual intelligence.