Most of the businesses we talk with already know they want
AI. Many already pay for a tool or two. What they're missing is a clear
starting point: education, best practices, a plan for adoption, and a roadmap
they can actually achieve.
So we start with business questions before we talk about any
technology. Where does your team lose the most hours to repetitive work? Which
task backs up and delays your client deliverables? If your best people got 5
hours a week back, what would they do with it?
From there, our AI services follow 5 steps.
Step 1: A Roadmap Built From Your Real Processes
We work with your team to map current workflows and find
what's manual, repetitive, or bottlenecked. We also learn which outcomes matter
most to your leadership: time savings, cost reduction, revenue, or something
else.
That becomes your AI Implementation and Adoption Roadmap. It
names specific processes inside your organization and puts them in the right
order. It's a living plan, and we update it as you progress and as the
technology changes.
Step 2: Crawl, Walk, Run
Our Crawl, Walk, Run approach moves at a pace your team can
absorb:
·
Crawl (weeks 1 to 4): Every user completes AI
Champion Certification, a training program that gets people productive in about
90 minutes. We set acceptable use policies, identify internal champions, and
knock out 3 to 5 quick wins, like summarizing long reports, drafting client
emails, or pulling key terms from contracts.
·
Walk (months 2 to 6): We build 5 to 10 custom
workflows and connect AI to the systems you already use, like your customer
relationship management (CRM) platform, email, and project management tools.
This is where teams move beyond chat and start seeing department-level results.
·
Run (month 6 and beyond): AI becomes part of
your core business processes, with advanced workflows that span multiple
systems and AI phone agents that can handle client-facing calls.
Step 3: Workflows and Agents That Fit Your Business
This is where the lightbulbs go on. A few examples of the
work AI workflows and agents can take on:
·
Sales: researching and qualifying leads,
updating your CRM, and drafting personalized outreach.
·
HR: screening resumes against job requirements.
·
Finance: comparing vendor invoices against
agreed rates and flagging changes.
·
Leadership: turning meeting notes and
transcripts into executive summaries.
Clients also get a library of 100 Framework-built AI
workflows and agents, so no one starts from a blank screen.
Here's one example of where this can go. We helped a client
completely rework how they take in and analyze their data. What used to take
heavy manual effort is now far more automated and efficient, and the output is
much more meaningful for the people making decisions. It's one of many
examples, and it's the kind of work I expect we'll see a lot more of.
Step 4: Training and Support That Keep Adoption Moving
Technology alone doesn't change how people work. Ongoing
support does. Every client gets:
·
AI Champion Certification for every user, plus
onsite intensive training for implementation.
·
Live Office Hours 3 times a week to troubleshoot
workflows, share tips, and brainstorm new use cases.
·
The Framework AI Resources Hub, 1 place for
every training material, guide, and tool from day one, including getting
started guides for leaders and employees, training videos, industry AI
playbooks for legal, financial services, accounting, and consulting, and ROI
tracking templates.
·
A monthly AI Strategic Business Review with your
leadership to review progress against the roadmap, see what's gaining traction,
work through friction, and set the next priorities.
Step 5: Measuring What AI Is Worth
Before AI touches a process, we help you set a baseline: how
long the task takes, what it costs, how consistent the quality is, and how
often it happens. Then we track the change, so leadership sees return on
investment (ROI) in hours and dollars, not just anecdotes.
Security Built In From Day 1
Governance and security stay at the front of everything we
do. Our Managed Framework AI platform, powered by Hatz AI, is SOC 2 Type II
(System and Organization Controls 2) certified, and your data is never used to
train AI models.
We also keep people in charge. The platform is designed for
human-in-the-loop workflows, so people stay in control of what AI produces and
what happens with it. Full audit trails show who used AI and how, and admins
control who can build and use agents. Pair that with a clear acceptable use
policy and the right access controls, and your team can use AI with confidence.
What This Means for Your Organization
For current and prospective clients, this recognition is
less about a trophy and more about reduced risk. Choosing a partner to lead AI
adoption means trusting them with your data, your workflows, and your security.
An independent award, judged by the team behind the industry's most
comprehensive MSP ranking, is a third-party signal that our approach holds up.
In practical terms, you're working with a partner that has
already worked through the questions most organizations are just starting to
ask:
·
Where does AI actually create value in our
business?
·
How do we deploy it without putting our data at
risk?
·
How do we know whether it worked?
We've answered those questions for our own company first,
and we answer them for clients every day.
We were named a 2026 AI MSP of the Year the work that we've done to get to where we are today.
Book your Discovery Call Today.
