Applied AI consulting · Automation · Integration

AI systems built around how your business actually works.

IntuitionMind.ai helps organizations improve customer communication, lead handling, internal workflows, and decision-making through practical AI, automation, and custom software. We combine founder-led business strategy with hands-on technical delivery from discovery through deployment.

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Based in Brighton, Michigan. Available for focused implementations and larger custom builds.

Conceptual view · not a specific client system

Applied AI and automation

Practical systems for real operational problems

We help organizations identify where work is getting stuck, define the right intervention, and implement a system that fits the way their team operates. That may involve configuring existing tools, connecting disconnected systems, deploying an AI agent, or building a focused custom application.

Workflow and automation design

Map existing processes, identify costly handoffs or repetitive work, and design a practical system for improving them.

AI agents and customer operations

Build phone, web, and internal agents that use company knowledge, follow defined business rules, collect information, and take appropriate actions.

Data and business-system integrations

Connect lead sources, CRMs, calendars, communications tools, databases, and reporting systems so information moves where it is needed.

Custom applications and machine learning

Develop focused applications, decision-support tools, and machine-learning systems when standard software does not adequately fit the problem.

Explore Our Services

For service businesses and operational teams

Improve what happens between an inquiry and an outcome

Service businesses often rely on a chain of calls, emails, calendars, staff decisions, and software handoffs to turn an inquiry into completed work. We help make those processes more consistent, visible, and manageable.

Capture, qualify, and route incoming opportunities
Connect lead sources with CRM and scheduling systems
Automate follow-up and internal handoffs
Apply service-area, priority, or escalation rules
Give staff useful information without requiring repeated data entry
Track what happened after a lead entered the business

The right project begins with understanding the existing workflow, the economic cost of the problem, and what a successful outcome would look like.

How we work

From operational problem to working system

01
Discover
Understand the workflow, people, systems, constraints, and business outcome involved.
02
Define
Choose a focused scope, technical approach, responsibilities, and acceptance criteria.
03
Build and test
Configure or develop the system, connect required tools, and test realistic scenarios before launch.
04
Deploy and improve
Launch carefully, monitor actual use, resolve gaps, and support agreed improvements.

Engagements can range from a focused implementation to a larger custom build. Scope, ownership, support, and ongoing maintenance are defined before development begins.

Selected builds

Selected builds and applied experiments

Working demonstration · Fictional company

AI Phone Agent for Field-Service Intake

A voice-agent demonstration showing how a service business can handle inbound inquiries through a structured workflow. The system identifies caller needs, responds to potential hazards, checks service-area eligibility through an external routing API, simulates estimate booking, and demonstrates calendar and CRM handoffs.

The fictional Austin’s Tree Service scenario demonstrates how an agent can be adapted to a company’s actual intake rules, systems, and escalation procedures.

Try the Tree-Service Demo

01Caller need identified
02Hazard response
03Service-area check
04Estimate booking (simulated)
05Calendar + CRM handoff
Illustrative workflow · fictional company

Pre-release platform

Knowledge-grounded, brand-aware website agent

Spirit Bot

Spirit Bot extends our earlier personalized chatbot work into a website-assistant platform grounded in an organization’s business knowledge and written communication style. The core platform is substantially built, with broader real-world testing still ahead.

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Illustrative example · same facts, different written tone

Direct

“Returns are accepted within 30 days when the item is unused and in its original packaging.”

Warm

“Changed your mind? No problem. Send it back unused, in its original packaging, within 30 days.”

Applied infrastructure experiment

Website City Craftsman / DryHack

Reusable local lead-generation infrastructure combining structured content, search-oriented delivery, localization, analytics, and measurable contact paths.

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Creative prototype · Non-production

Novel Forge AI

A configurable long-form generation experience for personalized language-learning fiction.

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Founder-led strategy and delivery

Business judgment paired with technical execution

Austin Szelkowski

Business strategy, client discovery, marketing, product direction, and project leadership. Austin previously founded and scaled My Restoration Leads, which served the disaster-restoration industry, and has led marketing teams and growth initiatives for technology and service businesses.

Rajesh Mane

Data science, AI/ML, software engineering, application development, systems integration, and technical delivery.

Austin and Rajesh work together to connect business requirements with technical implementation. Additional specialists may be involved when a project’s scope requires them.

Meet the team

Exploratory research · Further validation pending

Long-term research

The Heart Typewriter

Can physiological activity recorded before a stimulus—or before an outcome is revealed—contain reproducible predictive information?

This question anchors IntuitionMind.ai’s long-term research into presentiment, precognition, ECG data, and machine learning. We have built collection and modeling tools and conducted exploratory analyses. The ambition is substantial; the evidence remains early, and further validation is required.

Explore the Research

Illustrative signal

Have an operational problem worth solving?

Tell us where work is getting stuck, what systems are involved, and what a better outcome would look like. We’ll help determine the most practical path—from better use of existing software to automation, integration, or a focused custom build.