Save 20–40 hours/month on manual work. I build AI tools that replace repetitive document processing, support queues, and data workflows, so your team focuses on work that actually moves the business. Monthly retainer, no long-term contracts.
- Vendor
- Northwind Supply Co.
- Invoice
- #INV-20461
- Amount
- $4,820.00
- Due date
- Net 30
What I can automate for you
Pick a use case to see exactly how the work flows from input to result.
Document Processing
Automatically extract, classify, and route data from invoices, contracts, and forms. Typical savings: 10-20 hours/month for teams processing 500+ documents.
- Upload
- Extract fields
- Classify
- Route to system
Does the math actually work?
Drag the sliders. The retainer is $3,999/mo. Most teams recover 20-40 hours of manual work every month.
- Monthly value recovered
- $3,600
- Retainer
- $3,999/mo
- Below break-even
- -$399
AI Implementation & Support Retainer
AI requires continuous monitoring and refinement. I work on a monthly retainer to implement, manage, and evolve your AI tools.
Single Tier
$3,999/monthMonthly retainer for AI implementation and support
Includes
- AI workflow implementation and integration
- Continuous accuracy monitoring and prompt engineering
- Cost control and token usage optimization
- New workflow development as your needs evolve
- Keep the AI's knowledge base up to date (vector database and retrieval maintenance)
- Governance and safety measures to prevent AI mistakes
How It Works
Analyze, prove, ship. Each automation moves through the same tight loop.
- 01
Analyze
I audit your workflows and find the single highest-ROI automation to start with. No boiling the ocean.
- 02
Proof of concept
I build a working proof on your real data so you can validate accuracy before committing to the full build.
- 03
Ship in 2-4 days
Once validated, I build it, take it live, and monitor it in short cycles. You see working tools, not slide decks.
Your first month
Here's exactly what happens after you sign up.
Week 1
Discovery call + audit of your current workflows + implementation plan
Week 2-3
Build and test your first AI workflow (highest-impact use case)
Week 4
Go live + team training + monitoring setup
Month 2+
Optimize accuracy, add new workflows, manage costs
Why a Retainer?
AI requires ongoing care as your business evolves. A retainer ensures it stays accurate and cost-effective without the misaligned incentives of hourly or fixed-price models.
- Fixed monthly fee, no hourly tracking or billing disputes
- Continuous monitoring prevents costly AI mistakes before they happen
- Predictable costs, with optimization as your usage scales
- Maintains accuracy through prompt engineering and governance over time
- Add new workflows with no contract renegotiations
- Evolves with your business, not stuck in time
- No estimates or scopes. Just add tasks and I execute
- Flexible engagement, pause or cancel anytime
Security & Legal Protection
Your business data and AI implementations are protected through clear agreements covering IP transfer, data privacy, and confidentiality.
One simple contract covers all the work
A single Master Services Agreement (MSA) covers every retainer period. No new paperwork for each AI workflow. Quick to sign, protects both sides.
I invoice you as a US business
Contracts run as B2B, not employment. Keeps taxes and billing clean on both ends, and you won't get flagged for treating a contractor like an employee (IRS/IR35 safe).
Once you pay, everything is 100% yours
All AI work, prompts, and workflows. I keep nothing. Written into the contract as a Work Made for Hire clause, effective once payment clears.
Confidentiality (NDA)
Standard Non-Disclosure Agreement built into the terms. Your business data, training data, and workflows stay private.
Your questions answered
Common questions about AI automation and how I work.
Not necessarily. For most use cases, I train the AI on your own documents, FAQs, and product data (a method called RAG). For more specialized models, I'll tell you what's needed during the discovery call.
I work with OpenAI (GPT-4o, o1), Anthropic (Claude Sonnet/Opus), and open-source models via Ollama for on-premise deployment. I've deployed production systems with all three and recommend based on your accuracy, cost, and privacy requirements. Most customers start with OpenAI for speed, then I optimize provider selection as usage scales.
A person reviews important AI decisions before they go through. I also monitor accuracy metrics and include a 30-day accuracy warranty on everything I build.
First implementation typically takes 2–4 weeks. Simpler automations (document classification, basic chatbot) can go live in 1–2 weeks. More complex work, like AI trained on your documents or multi-step workflows, takes 3–5 weeks.