
Reduce costs
Automate repetitive work and remove friction from the processes that quietly consume margin.
Less manual effortApplied AI for Business
GranitePraxis helps organizations find where AI creates real value, implement practical systems, and equip the people who use them.

Enterprise perspective
Our team brings firsthand experience advising senior executives at some of the world’s most recognized companies.
The point of applied AI
The technology is only useful when it improves the work. We focus on the economics underneath the enthusiasm: where time, cost, capacity, quality, and decisions can materially improve.

Automate repetitive work and remove friction from the processes that quietly consume margin.
Less manual effort
Help teams accomplish more without simply adding headcount or asking people to work harder.
More work, done well
Improve sales, service, intelligence, and decision-making with practical systems people can use.
Better decisions

Recognizable work. Practical intervention.
No speculative lab projects. We look for the work already happening around you—the handoffs, searches, drafts, updates, and decisions that can be made faster and more consistently.

Lead research, qualification, proposals, follow-up, and CRM updates.
ExploreInquiry handling, knowledge assistants, response drafting, and routing.
ExploreDocument processing, reporting, approvals, and connected workflows.
ExploreResearch, analysis, dashboards, briefings, and decision support.
ExploreMarket intelligence, campaigns, content workflows, and customer insight.
ExploreEmail, scheduling, forms, data entry, document creation, and intake.
Explore


What we do
GranitePraxis sits between business consulting and AI implementation. We bring the judgment to choose the right opportunity and the practical capability to make it operational.

Find the highest-value opportunities, assess feasibility, and establish a clear path to responsible action.
Redesign repetitive processes by connecting AI with the systems your business already uses.
Build assistants and agents around specific operational responsibilities—with people accountable at the right points.
Take a validated idea from concept to a working system, then train the people responsible for using it.
Continue to identify opportunities, improve performance, establish governance, and support the next worthwhile step.


The GranitePraxis method
A clear method lowers risk. It lets a business start with one worthwhile problem, learn from the work, and expand only when the evidence says to.

Understand the organization, work, bottlenecks, and opportunity.
Score value, feasibility, risk, and effort to choose the right first move.
Design and implement a practical solution in the environment you already use.
Equip the people responsible for adoption, oversight, and day-to-day use.
Evaluate adoption, productivity, quality, capacity, and business impact.


Start as small as you need
You do not need a full AI roadmap to begin. Start with the question in front of you, get a practical point of view, and decide what deserves to happen next.
A complimentary 20-minute conversation to identify where AI may be worth investigating in your business.
A structured review of workflows, costs, feasibility, and the opportunities most worth prioritizing.
Build and enable a practical workflow, assistant, or system around a validated business opportunity.
Why GranitePraxis
The best AI initiative is not the most impressive demo. It is the one that earns its place in the way a business actually operates.
We begin with the problem and the economics—not with a particular AI tool.
When an opportunity makes sense, we help put it into operation and measure the change.
The business requirement determines the technology: OpenAI, Anthropic, Google, Microsoft, or another platform.
Privacy, security, oversight, and organizational responsibility belong in the design from the start.
Find your AI opportunity
Use this simple model to put a rough value on a repetitive workflow. It is not a promise—it is a starting point for a better conversation.
i A working estimate is more useful than a generic AI claim.
Proof without theatre
Until there are real client results to publish, the honest proof is the discipline of measurement. Every engagement should establish what “better” means before the work begins.
Talk about your baseline
Measurement turns activity into evidence.Industries

Built with judgment
We treat privacy, security, data handling, human review, and governance as part of the implementation—not as a footnote after the demo.
Common questionsQuestions worth asking
Yes. The complimentary AI Productivity Scan is designed for exactly that. We will discuss where work is getting stuck, what is costing time, and where a practical first investigation may make sense.
No. You need people who understand the work and can make decisions about it. GranitePraxis can help translate that operational knowledge into a practical implementation path.
Yes, when implementation is the right next step. The work can include workflow design, automation, assistants, connected systems, enablement, and measurement.
Often, yes. We start with the business requirement and the systems already in place, then determine what integration or change is appropriate.
Data handling, privacy, access, retention, and human oversight should be addressed before a system is put into operation. The right approach depends on the workflow and your environment.
It depends on the opportunity. A scan is 20 minutes; an audit is structured around the work; an implementation can be scoped from a single workflow to a broader deployment.
Yes. Enablement is most useful when it is tied to the actual tools and workflows being introduced—not separated into generic AI theory.
The next worthwhile step
Start with a complimentary 20-minute AI Productivity Scan. We will look at your business, identify where AI may be worth investigating, and tell you where we would start.
Book my AI productivity scan