Led by Kyle Rosebrook · Principal Consultant, Loxihart
See what you get before spending a dollar
Plain-English workflow audits, ready-to-use staff checklists, and hands-on setup for real business teams—no coding background required.
Check your current baseline
Answer 7 plain-English questions about how your team handles repetitive emails, documents, and unapproved AI apps. No email wall to see your score.
Get a Monday-morning action list
We map which repetitive bottlenecks are worth automating, what software licenses you can cut, and what client data needs guardrails first.
Work directly with Kyle
Book a $297 90-minute working session or hands-on build where we configure the workflows alongside your staff—never a 60-slide theory deck.
Questions before starting? Email Kyle directly at hello@loxihart.com
Three ways to get unstuck
Whether you need a diagnosis, a strategy, or ready-made tools — pick your starting point.
50+
Teams audited
3.2x
Avg productivity gain
$2.1M
Client savings (est.)
92%
Retain rate
They didn't just tell us to 'adopt AI.' The team audited our workflows, found the 3 places where AI would actually save time, and helped us ship them in a week.
Sarah Chen
VP Engineering, Series B SaaS
The readiness audit was a wake-up call. We had 12 AI tools and zero AI workflows. Loxihart helped us cut that to 4 tools that actually work together.
Marcus Johnson
CTO, 200-person fintech
The Claude Code Library alone saved our team 20+ hours in the first month. The ROI was obvious before the invoice even arrived.
Priya Patel
Engineering Manager, DevTools startup
AI Engineering ROI Calculator
Answer 3 quick questions to get your personalized ROI projection and downloadable PDF report.
Team Size
*Conservative estimates. Actual results vary based on tooling, team skill, and use-case fit.
Ready to unlock your savings?
Your ROI calculation is a starting point. In a free 30-minute strategy call we'll map your specific workflows, identify the highest-impact automations, and build a concrete implementation plan.
- Custom AI roadmap for your team
- Tool recommendations matched to your stack
- Clear ROI timeline & payback estimate
- No sales pressure — pure strategy
Recent Client Success Stories
Real projects, real results. See how we've helped teams like yours.
*Client name withheld per confidentiality agreement.
From 100+ tools to a stack that actually works
The Challenge
After discovering AI tools, the instinct was to try everything. Over several months, tool count ballooned past a hundred — different platforms for writing, coding, automation, design, project management, knowledge management. Each one solved one problem but created two more: context-switching, overlapping capabilities, subscriptions quietly billing with no usage tracking. Several were in payment-failure status and still functioning via cached sessions. There was no framework for deciding what stayed and what got cut. The stack had grown by impulse, not intention.
What We Built
Ran a full vendor inventory — not just what was subscribed, but what was actually being used and for what. Cross-referenced actual usage patterns against stated purpose. Built a decision framework: every tool needed a named function, a documented workflow it served, and a reason it couldn't be replaced by something already in the stack. Anything that failed all three got cut. Consolidated from 100+ explored tools down to roughly 30 active ones. Dropped four major platforms in a single month once the audit made the overlap obvious. Built a documented stack map so new tools get evaluated against what already exists, not adopted on impulse.
Quantifiable Results
Consolidated from 100+ explored tools to approximately 30 active, load-bearing tools
Identified subscriptions in payment-failure status still being used via cached sessions
Eliminated four redundant platforms in a single consolidation pass
Built a reusable evaluation framework that prevents re-sprawl when new tools appear
Real work. Measurable results.
Anonymized stories from companies that stopped guessing and started shipping AI workflows.
From 100+ tools to a stack that actually works
The Problem
After discovering AI tools, the instinct was to try everything. Over several months, tool count ballooned past a hundred — different platforms for writing, coding, automation, design, project management, knowledge management. Each one solved one problem but created two more: context-switching, overlapping capabilities, subscriptions quietly billing with no usage tracking. Several were in payment-failure status and still functioning via cached sessions. There was no framework for deciding what stayed and what got cut. The stack had grown by impulse, not intention.
What We Built
Ran a full vendor inventory — not just what was subscribed, but what was actually being used and for what. Cross-referenced actual usage patterns against stated purpose. Built a decision framework: every tool needed a named function, a documented workflow it served, and a reason it couldn't be replaced by something already in the stack. Anything that failed all three got cut. Consolidated from 100+ explored tools down to roughly 30 active ones. Dropped four major platforms in a single month once the audit made the overlap obvious. Built a documented stack map so new tools get evaluated against what already exists, not adopted on impulse.
Outcomes
No CS degree, no traditional path — hired for AI fluency in a four-round interview
The Problem
No computer science degree. No formal engineering background. A work history that didn't map neatly to a technical role. But a growing fluency with AI tools that was hard to demonstrate on a resume. The gap wasn't capability — it was credibility. How do you prove you can think technically when your CV doesn't look technical? And how do you walk into a four-round interview process at a technology company and compete against candidates with traditional credentials?
What We Built
Started with structured self-education: not just using AI tools, but learning how they reason, where they fail, and how to engineer consistent output. Built a personal prompt library organized by use case. Documented every workflow — not for an audience, but as a forcing function for understanding. When the interview process came, the preparation wasn't rehearsed answers — it was the ability to articulate complex technical concepts in structured, accessible terms. Across four interview rounds, demonstrated not just familiarity with AI tools but a framework for thinking about how they fit into real operational work. Got offered a role in a department they hadn't applied to, because the interviewers recognized someone who could bridge technical capability and clear communication.
Outcomes
From scattered output to a real business — how auditing everything changed the trajectory
The Problem
Years of building, experimenting, and exploring had created a massive digital footprint with no index. Hundreds of repositories across multiple platforms. Subscriptions nobody was tracking. Automation workflows that were half-built or broken. Projects started in three different tools and finished in none. The raw material for a business was there — skills, tools, documented workflows, real capability. But it was scattered across so many surfaces that none of it compounded. The problem wasn't a lack of output. It was a lack of structure around the output.
What We Built
Started with a full infrastructure audit — inventoried every repository, file, subscription, workflow, and half-finished project across every platform. Found over 700 repositories, most orphaned. Identified subscription waste, duplicated effort, and projects that had been started three different ways without finishing once. Used the audit to define what was actually load-bearing versus what was digital clutter. From there, built a centralized platform: client-facing portal with automated assessments, onboarding workflows, scheduling, resource delivery, and a roadmap tracking system. Everything documented, everything connected, nothing orphaned. The audit didn't just clean house — it became the methodology the business now offers to others.
Outcomes