01
Repetitive work consumes capacity
The team writes the same emails, copies the same data and assembles the same reports every week.
AI consulting · automation · custom agents
I build AI systems that give your team hours back.
I replace manual workflows with working AI automation and custom agents. The solution connects to your CRM, email, Slack and database — you get a usable system, not another demo.
Clear scopeMeasurable business goalHandover and documentation
Production workflow · active
New lead arrives
Email · form · CRM
Agent analyzes and decides
Claude · GPT · rules
Systems update
CRM · Slack · database
Lead qualified · follow-up sent · sales notified
The output is a working system, not a slide deck
- 1
- painful workflow to start with
- 2–6 weeks
- typical first production release
- 0
- in-house AI specialists required
The actual problem
You do not need more AI tools. You need a connected workflow.
Most teams already use AI. They still copy data, wait for replies and update systems by hand.
02
Leads and customers wait for human response times
Slow replies cost opportunities and damage customer experience. At night and on weekends, the workflow stops.
03
Data stays trapped in separate systems
Your CRM, inbox, Slack and internal database do not work together. People become the expensive integration layer.
Services
Two paths. One outcome: less manual work.
I do not sell a prebuilt chatbot. I build around your process, data and existing tools.
01 · End-to-end workflow
Done-for-you AI automation
I map the full workflow, find the largest operational loss, then build and hand over the automated system.
What you get
- Process audit and automation priorities
- Solution design, scope and measurable success criteria
- Implementation, integrations and testing
- Documentation, training and optional support
Typical projects
- AI customer support assistant
- Lead scoring and automated follow-up
- Internal reporting and data processing
02 · Custom AI operator
Custom AI agent development
I build an agent that works with your company context, uses tools, completes tasks and knows when to involve a human.
What you get
- Agent architecture and safety boundaries
- CRM, Slack, email and database integrations
- Real test cases, logging and human handoff
- Launch, monitoring and operational support
Production technology
- Claude- and GPT-based LLM systems
- Supabase, n8n and custom API integrations
- TypeScript / Next.js backend and automation
How I work
From bottleneck to production system.
Every step has a concrete output. Before the proposal, we define what business success means.
Discovery call
In 20 minutes, we map the workflow, bottleneck, available data and target result.
Plan and proposal
You get a concrete solution, scope, timeline and success criteria. Pricing follows the real project, not a template.
Build
I develop in short iterations. You review working demos throughout the project, not for the first time at the end.
Handover and support
Documentation, training and observable operation are part of delivery. Ongoing maintenance is optional.
Outcomes
What a well-chosen AI project looks like.
The examples below are illustrative. They are not client references or guaranteed results; they show the impact we would measure.
B2B services
Manual lead qualification and delayed follow-up.
A CRM-connected agent that summarizes, scores and routes each lead to the right sales action.
8–12 hours/week
estimated admin capacity released
Customer support
Repeated questions, fragmented knowledge and slow first response.
An assistant grounded in the internal knowledge base, with citations and human escalation.
30–50%
of routine questions potentially automated
Operations reporting
Weekly exports, spreadsheet updates and manual summaries.
A scheduled workflow that collects, validates and sends a complete report to the team.
1 day → 15 min
possible report preparation time
About
I build usable products, not AI presentations.
I work from a full-stack product development and SaaS background. My focus is connecting LLMs to real business systems: data model, backend, integrations, permissions, measurement and user experience.
AI is only valuable when it completes a specific task more reliably or faster. That is why every project starts with a business workflow and a measurable goal — not a model choice.
AI agent architectureWorkflow automationSaaS and backend integrationSecurity and human control
info@useguardian.techFAQ
What to know before the first call.
How long does an agent or automation take to build?
A focused first production version typically takes 2–6 weeks. The exact timeline depends on workflow complexity, integrations and data availability. The proposal includes concrete milestones.
How much does it cost?
There is no template price because a two-step n8n workflow is not the same project as a permissioned agent operating across several systems. After the discovery call, you receive a concrete scope and custom proposal.
Which systems can you integrate?
Any system with a usable API or webhook. Common integrations include CRM platforms, Slack, Gmail/Outlook, Google Workspace, Supabase/Postgres, n8n and internal backends.
What if we do not have a technical team?
That is fine. I design, build, document and hand over the complete solution. Daily use does not require a developer; optional support covers later changes.
Is our data handled securely?
The design includes data minimization, permissions, logging and human approval points. Sensitive data is only sent to a model when necessary and contractually appropriate.
What happens when the AI is uncertain or wrong?
I build in constraints, test cases, logging and human handoff. High-risk actions require approval; the agent never receives unnecessarily broad access.
Free consultation
Let’s find where AI will pay back first.
Briefly describe the workflow taking too much time. On the 20-minute call, we decide whether it should be automated and what the smallest useful first step looks like.
I reply within one business day.
Or email me directly: info@useguardian.tech
Your email is all I need. We will discuss the details by email.
One good automation is worth more than ten AI subscriptions.
Book a 20-minute consultation and let’s identify where AI can save your team time or money.
info@useguardian.tech