01
Assess readiness
We interview leadership, survey the team, and review the tools and workflows where AI could create meaningful leverage.
01 · 2-Week AI Readiness Assessment
Turn AI curiosityinto AI strategy
The highest-leverage AI investment isn’t another tool. It’s building a team that knows where AI fits, how to use it, and what to implement next.
- $115K
in hidden pricing variance surfaced in a single AI audit
- $40K+/yr
software + staffing costs saved by a single system
- 5 wks → 1 hr
custom builds vs. agency dev time
Trusted by
Global and growing brands
ASICS North America
Client perspective
“I now feel ready to lead my team through what is sure to be the most transformational technology to ever impact knowledge workers.”
Paul Ljucovic · CFO, ASICS North America
02 · The problem
Most teams are using AI without a plan.
Growing companies do not need more AI hype. They need a clear assessment of where AI fits, what to train first, and which workflows are worth implementing in the next 90 days.
AI is on the agenda, but nobody owns it
Your team is experimenting in pockets. Leadership knows AI matters. But there is no clear plan, no internal owner, and no agreement on what should change first.
The expensive work is still manual
Follow-ups, reports, handoffs, customer answers, internal updates, and data entry still move through people who should be focused on higher-value work.
Tool demos are not an adoption strategy
Buying another AI tool is easy. Getting a nontechnical team to use AI safely, consistently, and in workflows that matter is the hard part.
The CEO cannot see where AI will pay off
The best opportunities are buried in everyday operations. Until someone maps them, AI stays abstract: exciting, urgent, and hard to justify.
03 · Our approach
A practical path from AI interest to implementation.
Three decisions, made in sequence. Each step leaves leadership with something concrete enough to use.
02Strategize and train
We prioritize the highest-value use cases, deliver a 90-day roadmap, and train the team on practical workflows for their actual roles.
03Implement with evidence
If the roadmap makes sense, we help install the assistants, automations, dashboards, and operating workflows behind it.
04 · What changes
Two weeks later, the company has clarity.
Not another AI deck. A shared point of view, a trained team, and a practical sequence for what happens next.
Assessment deliverables
A plan the team can actually run.
Readiness scorecardUse-case matrix90-day roadmapTraining plan
- 01
Leadership knows which AI use cases are worth acting on first.
- 02
The team has shared rules for using AI safely and consistently.
- 03
Operators leave training with workflows they can use the next day.
- 04
The next implementation phase is scoped around business impact, not novelty.
Then implementation becomes a decision, not a guess.
05 · Results
Outcomes, not demos.
$40K+/yr
in software and staffing costs saved by a single system
“I'm gonna get rid of [the tools]. Why use them? It just doesn't make any more sense.”
Founder, a digital marketing agency
$115K
in hidden pricing variance surfaced in a single AI audit
“What impressed me most about working with TitanStack AI wasn't just the technology, it was how they operated as an extension of our team…”
Kevin Sherlock, Executive Chairman, Supply Logic
5 weeks → 1 hour
custom builds delivered in a fraction of agency dev time
“They told me five weeks… it took about an hour total. Everything was done.”
CTO, a capital firm
06 · Client case study
Strategic judgment, not just automation.
Supply Logic
A data audit across 12 interconnected systems.
- Engagement
- AI and data audit
- Result
- $115K surfaced
What impressed me most about working with TitanStack AI wasn't just the technology, it was how they operated as an extension of our team… They didn’t just clean our data; they built a pipeline that understood the logic of our business across 12 interconnected systems, then handed us a clear, prioritized path forward instead of a black box. Finding over $115,000 in pricing variance almost as a byproduct tells you everything about the depth of the work. This is what we look for in an AI strategic partner: judgment, not just automation.
07 · AI education
Education is the highest-leverage tool.
The goal is not dependence on an expert. It is giving people enough understanding to move faster, troubleshoot confidently, and keep building on their own.
Client perspective · 01
In my industry, everyone is talking about AI, but very few people are actually explaining how they use it practically. I found myself struggling to understand what people were really using AI for, what all the terminology meant, and how any of it applied to real workflows. Terms like “agentic AI” and replacing long-standing processes were more noise than substance…
I’m now much faster at getting the AI to work for me, I understand how the systems fit together, and I can diagnose and fix issues on my own, something I couldn’t do before. It probably would have taken me a year of trial and error to get here…
My biggest breakthrough was building agents and sub-agents and actually seeing them work end-to-end. After a lot of frustration trying to piece things together myself, having Max guide me through it and watching it all click was amazing…
If you’re looking for someone who can cut through the noise, help you think through your workflows, and guide you while still letting you learn and grow, Max is incredibly effective. He doesn’t just talk about AI. He helps you actually use it.
Jake Gardner
CEO, SplashBay Media
08 · Why teams trust us
A partner, not a vendor.
The first sale is clarity
The assessment stands on its own: where the company is today, where AI is most likely to pay off, and what the next 90 days should look like.
We train before we scale
AI adoption fails when tools arrive before habits. We teach the team enough to make the roadmap real, not just interesting.
Implementation follows evidence
When we build, we build from the assessment: the workflows, systems, and enablement gaps that leadership has already seen and prioritized.
09 · Free AI Readiness Assessment
Know where your team stands before you spend.
Answer 24 questions about how your company leads, operates, and uses information. In about five minutes, you’ll get an immediate readiness score and a clearer view of what should happen next.
Take the free assessment
24 questions · about 5 minutes · immediate score
What you get
Free
- 01
Overall readiness
A clear score showing where the company stands today.
- 02
Eight operating systems
See where leadership, workflows, data, and enablement are strong or exposed.
- 03
Practical next steps
Leave with a sharper view of what to fix first and where AI can create leverage.
Sample signal view
Executive direction78
Workflow leverage64
Information readiness48
Controls & capability57
10 · Before you commit
A few practical questions
What the assessment asks of your team, what happens afterward, and how your information is handled.
How much of my team’s time does the assessment take?
The assessment is designed to fit around normal work. Most participants complete a short readiness survey and join the practical training. A smaller leadership group handles kickoff, workflow review and the executive readout. The exact schedule is agreed before kickoff based on team size and scope.
Is this worthwhile for a 15-person company?
Yes, when the business has enough operational complexity for AI to matter. Team size matters less than repeated manual work, scattered systems and expensive handoffs. The scope and number of participants are adjusted to fit the company.
Who runs the training?
TitanStack leads the training and ties it directly to the workflows and opportunities uncovered during the assessment. The sessions use practical examples from your team’s work rather than a generic AI curriculum.
Where should a company start with AI?
With assessment, strategy and training. Most teams do not need another tool first; they need to know where AI will create leverage, what the team can safely use now, and which workflows are worth implementing next.
Who is this built for?
Growing companies with manual work across sales, operations, customer service, reporting or admin and no mature AI or automation function. The strongest fit is active lifestyle, wellness, apparel, ecommerce, retail and consumer-product teams.
What happens after the assessment?
You keep the roadmap either way. If the priorities are clear, TitanStack can help implement the systems: AI assistants, Slack/email/CRM workflows, reporting automation, dashboards, governance and ongoing enablement.
Ready to make AI practical for your team?
Build my AI roadmapWe’ll compare notes and see whether a 2-week assessment makes sense.