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AI Automation Services for Business

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.

What I can automate for you

Six of the most common use cases I implement for businesses.

Document Processing

Automatically extract, classify, and route data from invoices, contracts, and forms. Typical savings: 10-20 hours/month for teams processing 500+ documents.

Customer Support Chatbot

An AI assistant trained on your product knowledge base. Typical result: 40-60% of tier-1 tickets resolved without human intervention.

Internal Knowledge Search

Let your team ask natural-language questions against your internal docs, SOPs, and Notion/Confluence pages. Typical result: answers in seconds instead of 15-minute search sessions.

Lead Qualification & CRM Enrichment

Automatically score inbound leads, pull company data, and route qualified leads to the right rep. Typical result: sales team spends 30% less time on unqualified leads.

Report Generation

Turn raw data from your database or spreadsheets into structured summaries, weekly reports, or executive dashboards. Typical savings: 5-8 hours/week of manual reporting.

Workflow Automation

Connect tools that don't talk to each other: trigger actions in Slack, Notion, HubSpot, or your own systems. Typical result: eliminates 3-5 manual handoffs per process.

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

$3,000/month

Monthly 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

14-day money-back guarantee.

Not happy in the first 2 weeks? Full refund. Cancel anytime after.

Your first month

Here's exactly what happens after you sign up.

  1. Week 1: Discovery call + audit of your current workflows + implementation plan

  2. Week 2-3: Build and test your first AI workflow (highest-impact use case)

  3. Week 4: Deploy to production + team training + monitoring setup

  4. Month 2+: Optimize accuracy, add new workflows, manage costs

How It Works

Simple, transparent, and efficient. Here's how I work with you to implement and maintain your AI solutions.

AI Discovery & Audit

I analyze your workflows, identify the highest-ROI automation opportunity, and build a proof-of-concept before scaling. Once validated, I move to full implementation in 2-4 day cycles.

Pause & Cancel Anytime

Pause your retainer when needed. Unused days in your current billing cycle are saved as credit for future use. No long-term contracts. Renewal is monthly. Adapt to your business needs without being locked in.

Slack, email, and Loom over meetings

I communicate with you over Slack, email, and Loom videos. Calls only when needed. You speak directly with me — no account managers or translators. Response time: within 6 hours.

Everything is 100% yours

Once you pay, all AI work, prompts, and workflows belong to you. I keep nothing. I invoice cleanly under standard B2B terms, which keeps taxes and billing clean on both ends and avoids any contractor/employee mix-up.

What clients say

Samantha Niessing
Samantha Niessing

Sr. Manager, Lifecycle Comms @ NRG

GigEasy

Adriano is a rare type of engineer who excels, not just in his technical domain, but as a solution-driven collaborative member of the team. I am continually impressed with his ability to create robust products in incredibly short time frames AND to provide smart solutions that improved both our internal efficiency and user experience.
Gregori Maus
Gregori Maus

Senior Backend Developer | PHP (Laravel) | REST APIs, AWS, PostgreSQL | DevOps, TDD, Event Sourcing

Cuez by Tinkerlist

I strongly recommend Adriano as a highly competent and qualified back-end developer. I had the pleasure of working with him in the same company and it was always a great experience. He is an experienced professional, always open to new ideas and innovations, and careful with the code, ensuring the quality and efficiency of teamwork. In addition, Adriano has a very positive and collaborative attitude, and it has always been a pleasure to work with him. Undoubtedly, he is a great addition to any development team.

Your questions answered

Common questions about AI automation and how I work.

Do I need to provide training data?
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.
Which AI providers do you work with?
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 clients start with OpenAI for speed, then I optimize provider selection as usage scales.
What if the AI makes mistakes?
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.
How long until I see results?
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.

Who this is not for

I'd rather tell you upfront than waste your time and money.

Businesses with no structured data

AI works best when it has something to work with: documents, FAQs, product catalogs, or transaction records. If your processes aren't documented, start there first.

One-off experiments with no clear ROI

I build AI tools that save real time or drive real revenue. If you don't have a specific problem to solve, the retainer model isn't the right fit.

Teams that won't adopt new tools

AI automation only delivers value if your team actually uses it. Change management is your responsibility. I build the tool, you lead the adoption.

Regulated industries needing AI compliance certification

I can implement AI that meets your requirements, but you'll need your own compliance review for SOC 2, HIPAA, or similar certifications. I'm an engineer, not a compliance officer.

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, workflows, and implementations. 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.

Further reading

AI for Your Business: 7 Ways to Cut Costs and Grow Revenue

Practical AI applications for non-technical business owners — where to start and what delivers real ROI.

Read article

AI Chatbot for Customer Support: ROI, Costs & Real Results

Whether an AI chatbot is worth building for your business — costs, ROI calculator, and real implementation examples.

Read article

Building AI Into Your Web App: What Decision-Makers Need to Know

How to integrate AI features into an existing web application without breaking what already works.

Read article
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