Working with information
Explore summaries of approved documents, first drafts of internal procedures, or finding answers in an organised knowledge base. Agree on source material and review the output before it becomes part of daily work.
Practical AI for Canadian businesses
Not sure where
to start with AI?
Start with one everyday task. Greenlight helps small and medium Canadian businesses identify useful AI opportunities, test a manageable pilot and build the confidence to take the next step.
Opportunity before technology
Make AI useful to your business.
Where could your team spend less time on repetitive work? Where would better access to information improve a decision? Greenlight helps Canadian companies turn those questions into a practical AI adoption plan, with advisory, engineering resources and implementation support scoped to the work.
We start with the process, people and information already in place. A focused first project gives you a way to judge usefulness, cost and quality before committing to a larger investment. As your needs develop, we can help plan more advanced workflows and integration.
An approachable first engagement
Bring a task. We’ll help you explore a starting point.
You do not need an AI strategy or a technical brief. Start with a repeated task your team would like to improve: drafting routine emails or documents for review, organising internal information, handling administrative work or preparing reports.
In the first conversation, we discuss how the task works today and what a useful improvement would look like. We then agree the scope and cost of an opportunity review or pilot before beginning further work.
From first steps to internal capability
Initial work focuses on a small number of useful opportunities, a prioritised shortlist and one manageable pilot with an owner and a way to measure value. We support the people using it, as well as the implementation.
Later engagements can develop reusable internal knowledge, connect workflows and create tailored AI capabilities for a larger team or wider market reach. Each stage builds on evidence from the previous one and has its own agreed scope.
Start where the value is clear
Everyday opportunities worth exploring.
These are possible starting points, selected and tested against your actual workflows.
Supporting your team
Assess assistance with routine enquiries, meeting follow-up, proposal preparation or document classification. Keep a person responsible for checking accuracy and approving customer-facing work.
Understanding operations
Consider ways to organise operating data, surface exceptions or prepare a first-pass explanation of a report. Start with a defined question and compare the result with your existing process.
A staged approach
Learn first. Implement deliberately. Grow from evidence.
Assess and prioritise
Map the workflow, identify repeated effort and agree on a shortlist of use cases. Consider data availability, business value, cost and the people who will use the result.
Pilot and evaluate
Define a small pilot with clear boundaries, sample inputs and success measures. Provide scoped engineering or configuration support, test quality and document where human review remains necessary.
Adopt and extend
Support staff onboarding, working instructions and a review cadence. Use the pilot results to decide whether to refine, stop or expand into a more connected solution.
Beyond the first improvement
Build AI into your next stage of growth.
More advanced work may involve connecting an approved AI tool to business information, designing a retrieval workflow, or supporting a process that spans several systems. The right scope depends on the quality of your data, the available interfaces and the decisions the workflow supports.
For businesses exploring new markets, possible uses include organising market research, preparing draft communications or helping teams work across a larger body of product information. Sources, factual claims and final communications still need a responsible reviewer.
Connect with business systems support ↗A clear scope, a measurable decision.
An engagement can include a prioritised opportunity list, a workflow map, a pilot brief, configured or engineered components, evaluation results and staff guidance. We agree the deliverables, responsibilities, budget and ongoing support before work begins.
To prepare, bring a description of a repeated task, the tools involved, an estimate of the time it takes and the outcome you want to improve. Use non-confidential examples for the first conversation.
Practical controls from the start
Agree which information may be used, who can access it, how outputs are reviewed and when a person needs to take over. Choose tools and settings that fit the information involved, and include maintenance and usage costs in the decision.
Connect the investment to the plan
Our financial planning and funding support can help you assess affordability and relevant programs. AI adoption alone does not establish SR&ED eligibility. Any potential claim needs its own review of the work and supporting evidence.
Explore financial planning ↗What would make your team’s work easier?
Start with one process and a clear business priority.