Direct consulting experience

Applied AI for Business

Turn AI into measurable business results.

When work gets stuck between systems, answers are buried in documents, or proposals and quotes take too long, GranitePraxis helps you improve the process with AI. Get a prioritized opportunity, a clearly scoped implementation, and a way to measure the result.

Clear prioritiesWorking systemsEquipped teams
Business leaders reviewing practical workflow improvements around a conference table
Practical AI decisions for business leaders
Canadian-founded. Globally delivered.Scroll to explore

Enterprise perspective

Enterprise experience.
Practical business judgment.

GranitePraxis is founded on direct consulting experience with Google, Walmart, lululemon, Loblaw, and Arc’teryx. Our founder worked with these organizations as an independent consultant. That experience informs how we understand your business, shape practical recommendations, and keep delivery focused on the decisions that matter.

The point of applied AI

AI should move
a business number.

Choose the business result first: less time spent on administration, faster responses, more capacity, or better decisions. We establish the current process and measure the change against it.

Outcome
Hands consolidating a stack of business documents into an organized set

Reduce costs

Reduce repeated data entry and rework. Start with an email-to-system handoff and measure manual effort, exceptions, and operating cost.

Less manual effort
Outcome
Senior leaders reviewing market and customer materials around a table

Support growth

Keep inquiries moving toward a quote and follow-up. Track response time, open opportunities, and conversion where reliable data is available.

Better decisions

Start with your business problem

Where AI can work
in your business.

Find the situation your team recognizes. Start with one process and one owner, then agree on what a useful improvement would look like.

Hands arranging structured business workflow materials beside a laptop and reports
Make the work visible before you change it.

Sales

Inquiries waiting between sales and estimating? Connect intake, quote preparation, CRM updates, and follow-up with a clear owner.

Explore sales systems

Customer service

Employees repeating the same document search? Give them answers grounded in approved information, with sources they can check.

Explore knowledge systems

Operations

Staff copying information between systems? Connect routine steps and surface the exceptions that need a person.

Explore automation

Management

Important developments scattered across sources? Receive focused briefings on what changed and which decision it affects.

Explore intelligence

Marketing

Need a clearer view of competitors and customers? Organize sourced research around the market questions your team must answer.

Explore market research

Administration

Requests getting lost across forms and inboxes? For example, turn an inquiry email into a CRM record, an assigned task, and a draft response for review.

Explore workflow automation

What an engagement delivers

A clear priority.
A working improvement.

You should know what you are buying and what happens next. Each engagement defines the deliverables, access needed, approval responsibilities, costs, and measures before work begins.

Industrial team reviewing technical documents and proposal materials
Implementation in the environment where the work happens.

A decision-ready recommendation

Receive a workflow assessment, estimated business case, readiness review, and prioritized first project.

A tested workflow

Receive the agreed system connections, test results, and exception paths for a defined business process.

An assistant with a defined job

Give your team a tool for finding approved answers, preparing drafts, or routing requests, with clear review points.

A practical handover

Equip users and process owners with training, operating instructions, and a process for maintaining the work.

A review of the result

Compare performance with the baseline. Ongoing support and further improvements are scoped around what your team needs.

Services

Find the right place
to start.

Choose by the problem in front of you: an RFQ deadline, a stalled sales handoff, hard-to-find knowledge, or a team that needs a practical way to use AI.

Not sure which service fits?

Talk through your situation

The GranitePraxis method

From a business problem
to a measured improvement.

You receive a documented baseline, a prioritized scope, a tested solution, a trained team, and a review of the result. If data, access, or process ownership need attention first, we identify that preparation before recommending a build.

Executive desk with business intelligence reports, charts, and a restrained dashboard
Decision-quality intelligence, made useful.

Assess

See a clear record of the process, current effort, people, systems, and constraints.

Prioritize

Receive a recommended first scope with its business rationale and success measures.

Build

Review a working solution tested against agreed requirements and exceptions.

Enable

Give users and owners the instructions and practice they need to use the system.

Measure

Compare results with the starting point and decide what to improve or expand.

Start as small as you need

Start with clarity.
Commit in stages.

Start with a complimentary conversation or bring an existing project brief. Any paid work begins only after you approve its scope, deliverables, price, and schedule.

Why GranitePraxis

Business judgment.
Practical delivery.

Start with one meaningful business problem. You get a defined scope, clear ownership, a practical handover, and a way to judge whether the work improved.

Business first

We map the current process and its cost before recommending a tool or build.

From recommendation to use

We define the deliverable, test the workflow, and compare its performance with the starting point.

Technology-neutral

Tool choices follow your requirements, existing systems, data constraints, and total operating cost.

Humans stay accountable

Data access, uncertain outputs, review responsibilities, and escalation are addressed during scoping.

Find your AI opportunity

Start with the work
that costs you.

Estimate the annual labour cost of a recurring workflow. This is the current cost of time spent, not projected savings or return on investment.

i A working estimate is more useful than a generic AI claim.

Estimated annual workflow cost$135,200current labour-cost estimate; savings depend on the change achieved and its operating costs
Discuss this estimate

How progress is evaluated

What we
measure.

Before implementation, agree what success means and record the starting point. After launch, compare time, turnaround, quality, adoption, and operating costs. Separate measured results from estimates so you can decide whether to expand.

Talk about your baseline
A hand placing a final blue performance block into a structured business chartMeasurement turns activity into evidence.
Hourseliminated or returned to higher-value work
Cycle timereduced across a workflow or customer journey
Qualityimproved through consistency and fewer errors
Capacitycreated without simply adding headcount

Common starting points

For teams with
work to improve.

Professional servicesIndustrial suppliersSales teamsHealthcare administrationProperty operationsService businessesDocument-heavy operations
Senior leaders reviewing a structured business dashboard in a quiet executive office
Human judgment stays in the system.

Built with judgment

Useful systems need
appropriate oversight.

Before a system is used, we define its approved information, access, review points, and response when an answer or action is uncertain. The right controls depend on your environment.

Common questions

Questions worth asking

Before you
start.

We do not know where to start. Can you help?

Yes. In the complimentary 20-minute AI Productivity Scan, we discuss one business problem, identify what needs investigation, and consider whether an audit or project makes sense. It is an initial conversation; a detailed implementation plan or savings estimate requires further assessment.

Do we need technical staff?

You do not need a dedicated AI team. We do need a process owner and, where systems are connected, someone who can approve access and coordinate with your IT provider.

Will you actually implement the solution?

Yes, when implementation is the right next step. The work can include workflow design, automation, assistants, connected systems, enablement, and measurement.

Can AI work with the software we already use?

Often, yes. We start with the business requirement and the systems already in place, then determine what integration or change is appropriate.

What does an AI Opportunity Audit deliver?

You receive an assessment of selected workflows, estimated time and labour cost, data and access readiness, and a prioritized recommendation. The $1,495 CAD scope specifies the interviews, workflow coverage, and outputs before purchase. An implementation proposal is a separate decision.

Are software and ongoing support included?

Third-party subscriptions, usage charges, maintenance, and new change requests depend on the solution. We identify these costs and define any post-launch support in the proposal so you can assess the full commitment.

Who owns the system after launch?

You receive the handover and operating documentation defined in the proposal. We agree ownership and access to custom work, third-party licences, data, and accounts before building. Your designated process owner retains business decisions and approvals; ongoing support is scoped separately.

What happens to our business data?

We review what information the workflow uses, who may access it, which providers are involved, how outputs are checked, and what happens when the system is uncertain. Your team approves the approach before implementation.

How long does an engagement take?

The scan takes 20 minutes. For an audit or implementation, timing depends on access to your people and systems, the number of workflows, data readiness, and testing requirements. We set a schedule in the proposal.

Can you train our employees?

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

Find where AI can create
measurable value.

Bring one repetitive task, slow handoff, or information problem. In a free video conversation, identify where AI may help, what needs checking, and a practical next step. Receive a short email recap you can act on, whether or not you hire us.

20 minutes · No preparation required · No obligation

Request a free AI scan