AI Strategy & Solutions
We help you choose the AI use cases worth funding, then deliver them into production inside your own systems. The consultants who run your first workshop stay with the work until your teams rely on it.
01Overview
Buying AI licences is the easy part. The value shows up when a use case solves a real business problem and your people change how they work because of it.
HarKing Vertical brings strategy, data, delivery and change together in one engagement. We help you decide what is worth building, then build it on the platforms you already run, from Google and Microsoft to Infor M3.
Our roots are in enterprise software and ERP. That means we connect AI to the systems that run your operations, and we measure success the way you do: adoption, outcomes and a return on your software investment.
02Capabilities
We assess where you stand, rank the AI opportunities in front of you and turn the best of them into a roadmap your leadership can fund and track.
We take your chosen use cases from pilot to production inside your environment, with the integration, security and testing real operations need. Then we hand over a solution your team can own.
A Gemini for Google Workspace or Microsoft 365 Copilot rollout pays off only when people use it well. We set the guardrails, train people by role and measure whether the tools change how work gets done.
We connect AI agents and automations to Infor M3, your wider ERP and your core systems. Routine work such as order exceptions, parts lookups and supplier follow-ups keeps moving, and your people approve the decisions that matter.
The AI you deploy reads your data, so we start there. We set up ownership, quality rules and access policies, and we clean the master data in your ERP before any model depends on it.
We build governance in from the first use case. Risk tiers, human checkpoints and audit trails follow recognized frameworks and Canadian privacy expectations, so you can show regulators and auditors how each decision gets made.
We set up the structure that keeps AI moving after the first launch: who decides, how new ideas come in, who supports each team and how leadership tracks progress.
03Process
Five stages take an AI idea into daily operations. You can start at whichever one fits where you are today.
We agree the business outcomes, rank your use cases and choose where to start.
We test your data against the chosen use case and close the gaps in quality, access and governance.
We build and integrate the solution in your environment, with security and testing designed in from the start.
We train your people, support the launch and track how the solution gets used day to day.
We extend what works to new teams and use cases, and give your team the playbook to keep going.
04Client work
Financial services
ATB Financial, one of the first major Canadian financial institutions to put Google AI in every team member’s hands, turned to HarKing Vertical to support its company-wide rollout of Gemini for Google Workspace to 5,000+ team members.
Heavy equipment
HarKing Vertical is working with SMS Equipment, the world’s largest independent Komatsu dealer, to implement an AI strategy and deliver AI solutions.
Banking
HarKing Vertical consultants bring data governance expertise to National Bank of Canada, supporting the bank’s work to transform its data and strengthen data security.
05Why HarKing Vertical
The consultants who learn your business are the ones who build with you. Each engagement is shaped around your goals and gets the attention a boutique firm can give.
Most of our client work has been in ERP, including Infor M3. We know how orders, parts, inventory and finance move through your core systems, so the AI we deliver fits the way your business already runs.
We stay through build, launch and adoption, then hand over the documentation and skills your team needs to own the result. Our support teams can look after it from there.
FAQs
Still have a question?
Let's connectMost organizations have some data that is ready and some that needs work. We test your data against the specific use case you want to pursue, then give you a list of gaps in quality, access and ownership, ranked by effort, before you commit to a build. A first use case can often start while longer data work continues.
We agree the measures before we build anything. Depending on the use case, that might be hours saved, cycle time, error rates or cost per transaction. We take a baseline, then track the same numbers after launch alongside adoption, because a tool nobody uses returns nothing.
Usually some of both. We start with the platforms you already pay for, such as Google Workspace, Microsoft 365 and Infor, and recommend proven products where they fit. We build custom solutions where a use case gives you an edge or where no product meets your security and integration needs.
The main risks are data leakage, wrong or biased outputs, weak security and tools that people never adopt. We rate each use case by risk, keep a human approval step on higher-risk decisions, limit what each system can access and log what it does. Governance is part of the design from the first use case.
Start with a conversation. We learn your goals and constraints, then suggest a first step that fits: a readiness assessment, a use-case workshop with your leadership team or a focused pilot. The scope grows only when the results justify it.
Yes. We help you plan, govern and roll out either one, or both side by side. That covers pilot groups, guardrails, role-based training, champions and adoption tracking. We can also connect them to the business systems and data your teams rely on.
Let’s connect
Talk with an experienced HarKing Vertical consultant about where AI could make the biggest difference in your business, and what a sensible first step looks like.
