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Artificial Intelligence

Applied enterprise AI: useful use cases, automation, data readiness, integration and delivery risks. These articles help distinguish compelling demos from projects with operational value.

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Choose an AI use case worth testing

A workable AI initiative starts with an existing process, accessible data and an outcome that can be measured. Without them, teams can spend months trying demos that never become a dependable workflow.

Questions to answer before deciding

Select recurring tasks or decisions where speed, quality or capacity can be compared.
Assess data access, privacy, traceability and necessary human checks.
Run a narrowly scoped pilot and record errors, exception handling and supervision effort before scaling.

See PlanAxion's enterprise AI workshop.

Finance project team planning a cash application implementation on a wall planning board in a modern Quebec office

Cash application automation: how long does implementation really take in 2026?

The fastest vendors advertise cash application automation go-lives in 4 weeks; in the field, projects stretch over months. Nucleus Research confirmed in September 2026 that implementation speed has become a decisive buying criterion. Here is what actually determines your timeline.

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Small accounts receivable team comparing a bank deposit list with open invoices on a screen in a modern Quebec office

Mid-market accounts receivable automation: why the gap is widening in 2026

Large enterprises have automated accounts receivable at a 79% rate, versus 47% for companies between $50M and $500M, according to PYMNTS Intelligence and Billtrust (2025). The gap comes from implementation time, not project value. Here is what changes in 2026 and where to start.

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Executive committee of a Quebec company discussing AI adoption around a laptop

AI Adoption in Quebec: Why the Gap is Widening and How to Bridge It

Quebec businesses were using AI at a rate of 12.7% in the second quarter of 2025, while the Canadian average reached 19.2% a year later, with a federal target of 60% by 2034. Here is a look at the numbers, the real obstacles, and a concrete way to bridge the gap without heavy transformation.

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IT Director and finance manager discussing in front of a screen displaying an automated ERP workflow in a modern office in Quebec

How do you integrate artificial intelligence into an ERP like SAP?

ERP vendors present AI as a feature to be activated, and migration to their cloud edition as a prerequisite. This article takes the client's perspective: four integration paths (native AI, platform-based extension, API-connected specialized solution, agents via existing interfaces), the position that no migration is required to get started, four conditions to verify before any project, and three safeguards when an AI writes to the ERP. Includes a fictional scenario regarding SAP ECC and an FAQ.

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Credit and collections manager comparing a printed remittance advice with open invoices displayed on a screen in a modern office in Quebec

Customer Deductions and Disputes: The Next Wave of AR Automation

Invoice follow-ups have been automated for years. Manual work has retreated into deductions, disputes, and short payments: Nucleus Research identifies this as the next wave of accounts receivable ROI in 2026. Here are the benchmarks and the method to transform this backlog of exceptions into a measurable workflow.

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IT Director and CFO discussing in front of an ERP process map displayed on a glass wall in a modern office in Quebec

Is Your ERP Ready for AI? The Criteria That Matter in 2026

Budgets are shifting toward AI agents while the ERP foundation slips in priority. A result measured by McKinsey in January 2026: only about 40% of companies report an impact from AI on their operating profit, with most seeing less than 5%. The signs of a ready ERP, and where to start.

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CFO and internal auditor reviewing an AI decision log on a wall-mounted screen in a modern Quebec office

Auditable AI in finance: the performance gap revealed by KPMG in 2026

Only 42% of organizations have auditable AI in their financial processes, but those that do perform up to 3 to 6 times better, according to KPMG (September 2026). Adoption is becoming mainstream; traceability is becoming the advantage. Here are the controls to demand before defending your 2027 budget.

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CFO and two colleagues comparing vendor proposals on a wall-mounted screen in a modern Quebec boardroom

How to evaluate a cash application solution? 2026 criteria and benchmarks

Every vendor promises over 95% automatic matching. Measured benchmarks tell a different story: 88% to 94% average matching rates and 92.4% touchless payments according to Billtrust (2026). Here are the criteria and figures to demand before you choose.

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Credit and collections manager reviewing a printed accounts receivable aging report in front of a screen showing overdue payments in a modern office in Quebec

B2B payment delays: how to protect your cash flow in 2026?

According to Billtrust, 67% of B2B customers are paying more slowly than they were six months ago, and nearly 60% of invoices are overdue. Cash generation is becoming the top priority for finance departments in 2026. Here are the key benchmarks and where to start.

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Working group prioritizing AI use cases on a whiteboard in a Quebec office

What are the AI quick wins for mid-sized business operations?

Lists of AI quick wins abound, featuring spectacular figures borrowed from vendors' best clients. This article takes the opposite approach: a quick win is not a use case; it is the alignment between a use case and your specific context. It presents the six patterns that appear most frequently in mid-sized company operations—all anchored in data already held by the ERP—followed by the four-criteria filter that distinguishes a true quick win from a slow loss. Includes a concrete example and an FAQ.

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Leadership team around a conference table building an AI roadmap in a Quebec office

How can you build a realistic AI roadmap without launching a major transformation?

Most AI roadmaps end up in a drawer because they are judged on their ambition rather than their first executed decision. This article proposes a four-week method to build a realistic AI roadmap: start with operational friction, run every idea through the same four-criterion filter, verify data only for the targeted use case, and assign an explicit decision to every initiative. Includes a concrete three-decision example and an FAQ for SME leaders in Quebec.

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Financial controller and operations director comparing automation options during a working meeting in a modern Quebec office

Financial Process Automation: RPA, Workflow, or Agentic AI?

Three providers, three vocabularies, one shared promise of efficiency. According to Gartner (February 2026), 75% of CFOs plan to increase their technology budgets, and nearly 60% intend to boost their finance function's AI investment by 10% or more. The challenge lies in choosing the right automation layer.

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Accounts receivable team discussing an automated payment matching dashboard in a modern Quebec office

AI Trust in Finance: The Gap Holding Back Your 2026 Projects

More than 8 out of 10 accounts receivable teams expect to automate more, yet 80% use no AI at all, according to the NACM and BlackLine survey (2026). This trust gap is the real challenge for 2026: here are the controls that bridge it and the first process you should start with.

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Executive team around a conference table during annual budget planning in a Quebec office

2027 AI budget: how much to forecast and how to allocate it?

According to Gartner (February 2026), 75% of CFOs are increasing their technology budgets, and nearly 60% are increasing their finance function's AI investment by 10% or more. Before setting a figure for the 2027 budget, here is a three-bucket method that ties every dollar to a measured process.

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CFO and controller discussing matched payments on a wall-mounted screen in a modern Quebec office

Autonomous finance: what the term really means for your business in 2026

Gartner predicts that 90% of finance functions will deploy at least one AI solution by 2026, but fewer than 10% will reduce their headcount. Behind the term "autonomous finance" lies a more modest and practical reality: processes that run on their own under human supervision. Definitions, benchmarks, and first steps.

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Trainer guiding employees during an AI training session in a Quebec office

Training employees on AI: what Canadian companies are doing in 2026

According to Statistics Canada (June 2026), 44.4% of Canadian businesses using AI have already modified their training or staffing practices. Meanwhile, most employees are learning on their own. Here is what organizations that take AI proficiency seriously are doing, and the four steps to structure your own approach.

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Finance Director and Controller reviewing financial performance metrics on a large screen in a modern Quebec office

AI in Finance: Why Adoption Is Outpacing Value

According to KPMG Canada (September 2026), 83% of surveyed companies use AI in their finance function, yet only 36% report more accurate forecasting, compared to 64% globally. The value gap isn't closed by adding more tools. Here are the four steps to bridge it, one process at a time.

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Treasury analyst and controller reviewing a 13-week cash flow projection in a Montreal office

Cash forecasting with AI: accuracy starts with your accounts receivable

Cash flow forecasting is once again the number one priority for treasurers according to the 2025 EACT survey, and 60% of teams are using or planning to use AI to produce them. Yet, before the algorithm, accuracy is won or lost in accounts receivable: unapplied payments, delayed reconciliations, and incomplete data.

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Financial director reviewing a queue of flagged transactions with an analyst in a modern office in Quebec

AI Agent Governance in Finance: Who Approves What the AI Decides?

Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027, often due to a lack of adequate risk controls. Before letting an agent write to your ERP, define who approves what. Here are the four controls that separate useful autonomy from a loss of control.

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Financial controller and accountant working on a month-end close in front of two monitors in a modern Quebec office

How long should your month-end close take?

Top finance teams close their books in 4.8 days, while the median remains at 6.4 days according to APQC—a benchmark that has barely moved in a decade. Meanwhile, 50% of CFOs are making digital finance transformation their 2026 priority. Here is where to start.

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CFO and COO analyzing performance metrics on a large screen in a Quebec office

Measuring AI ROI in the enterprise: the method that holds up in 2026

In Canada, 88% of senior executives say they are capable of measuring the ROI of their AI, according to Deloitte Canada (2026). Yet, the Bank of Canada observes significant usage in only 8% of companies. Here are the four indicators that make measurement credible, even before choosing a tool.

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Finance employee checking a chatbot on her personal phone next to her work laptop in a Quebec office

Shadow AI in the workplace: your employees are already using AI without telling you

According to Gartner, 69% of organizations suspect their employees are using prohibited generative AI tools. Shadow AI is already present in your teams: here is its true scale, the three risks it poses, and a four-step framework to manage it without stifling productivity.

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Accounts receivable specialist comparing a paper remittance advice with open invoices on a screen in a modern Quebec office

How to reduce DSO? Start with your unapplied payments

The median DSO is 46 days according to The Hackett Group, while top-performing teams maintain it at 28 days. Before adding collection efforts, look at your unapplied payments: some of your so-called overdue invoices are already paid. Here is where to start.

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Management team discussing AI adoption figures in front of a screen in a Montreal office

AI Adoption in Canadian Business: What the 2026 Numbers Reveal

According to Statistics Canada, 19.2% of Canadian businesses were using AI in the second quarter of 2026, three times more than in 2024. Behind the average lie marked differences between sectors and company sizes. Here is a look at the numbers that matter, the real obstacles, and how to join the movement without improvising.

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RELÈVE illustration showing a legacy system transforming into a modern application architecture with the help of AI

RELÈVE: modernize your legacy systems with AI

Your legacy systems work, but their technical debt grows every year. According to the Auditor General of Canada (2023), two-thirds of the approximately 7,500 federal applications analyzed are obsolete. RELÈVE, PlanAxion’s offering, uses AI to extract business logic from existing code, have it validated by your experts, and then make decisions module by module.

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Finance team reviewing an ERP dashboard on a large screen in a Montreal office

Agentic AI in ERP: What’s Changing for Your Financial Processes in 2026

Major ERP vendors are now delivering AI agents that execute complete financial processes. Meanwhile, 12.7% of Quebec companies are using AI in production, and the gap with Ontario is widening. Here is what agentic AI changes for finance, and how to build a first measurable use case.

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Three managers in a Quebec office reviewing the disappointing results of an artificial intelligence pilot project on a laptop

Why AI projects fail in business and how to make yours a success in 2026

MIT estimates that 95% of generative AI pilot projects yield no measurable return, while AI adoption in Canada has tripled since 2024. Here is why so many AI projects fail and how to choose a first use case that is profitable, measurable, and deliverable.

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IT Director and finance manager discussing in front of a screen displaying an automated ERP workflow in a modern office in Quebec

AI agents in ERPs: what SAP, Microsoft, and Oracle are changing in 2026

Microsoft made "agentic ERP" official in September 2026, following the 200 agents announced by SAP at Sapphire. Meanwhile, 3% of SAP customers use its AI in production, and Gartner predicts that over 40% of agentic AI projects will be abandoned by 2027. The gap between the announcements and reality, and where to start.

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Facilitator guiding a business team in prioritizing artificial intelligence use cases with sticky notes and a large screen in a modern Quebec office.

How to Choose an AI Workshop in Quebec: Formats, Costs, and Criteria

This guide compares AI workshop formats, expected deliverables, costs observed in Quebec, and the criteria for distinguishing a strategic approach from a simple awareness session.

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Accounts receivable specialist comparing payments and remittance advice on two screens in a modern office in Quebec

Accounts Receivable Automation: How Agentic AI is Transforming Cash Application

Manual cash application still consumes nearly 25% of finance team resources, according to HighRadius. Meanwhile, only 12.7% of Quebec businesses use AI in production. The gap between these two figures is the playing field for finance leaders who want measurable gains.

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Group of five professionals in an artificial intelligence use-case identification workshop in front of a whiteboard in a modern Quebec office.

Rapid AI Solutions Workshop: Concrete AI gains for your business

According to the 2024 McKinsey global survey, 65% of organizations regularly use generative AI. PlanAxion’s Rapid AI Solutions Workshop immediately unlocks value through targeted, easily deployable AI initiatives, using a 5-step process that leads to a detailed roadmap.

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PlanAxion visual for an article on artificial intelligence

Traditional AI vs. Generative AI: What’s the Difference for Your Business?

Traditional AI predicts, classifies, and optimizes based on your data. Generative AI produces text, code, and images from pre-trained models. In Quebec, only 12.7% of businesses used AI in 2025 according to the ISQ. This guide compares the two approaches, their uses, their three implementation paths, and their risks.

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