Which workflows to automate first
A practical way to rank candidate workflows by value and feasibility, with an editable prioritization matrix you can fill in with your own numbers.
Across finance, HR, IT and operations, a lot of work is still done by hand: copying details between systems, chasing approvals, sending the same reminders. We help you choose the workflows worth automating, build them on the platforms you already license where possible, and keep people in the loop where judgement matters.
Workflow automation uses software to carry out the predictable steps of a business process, such as routing a request, filling in a document, sending a reminder or updating a record, while people handle the steps that need judgement.
Good candidates share a few traits: they happen often, follow clear rules, have few exceptions, and cause real problems when forgotten or done wrong. Poor candidates are rare, judgement-heavy or constantly changing. Our guide to which workflows to automate explains how to tell the difference.
In larger organizations the best opportunities are usually in the back office, where the same process runs hundreds of times across departments and sites.
Where a workflow spans several applications, it usually needs system integration underneath it. Where it involves reading documents or unstructured text, AI and intelligent automation can take on the extraction, with a person reviewing the result.
We build on what you already license wherever possible: Microsoft Power Automate and the wider Microsoft 365 platform, Salesforce Flow, HubSpot workflows, ERPNext and Prometheus workflows, and NetSuite SuiteFlow. When a workflow outgrows those tools, we use an integration platform or a small custom service. Mentioning a product does not mean we are a partner of its vendor.
Fill this in for one workflow. If you cannot answer most items, the process probably needs clarifying before it is automated.
For workflows that move information between systems, also see the integration readiness checklist.
The exact list is agreed in writing for each project. These are the usual deliverables and the usual boundaries.
Most delays in this kind of work come from access and decisions, not from the technical build. Knowing these early keeps the project predictable.
Each stage ends with something you can review before the next one starts.
Walk through the process with the people who do it, including the exceptions and workarounds that are not written down anywhere.
Output: Workflow map.
Score each step on frequency, clarity of rules, exceptions and the cost of mistakes. Some steps stay manual on purpose.
Output: Prioritized automation backlog.
Build the automation with explicit approval points, exception routing, logging and a manual route that still works.
Output: Working automation in a test environment.
Test normal cases, exceptions and failures, then run a pilot with real users before switching over fully.
Output: Test evidence and pilot notes.
Hand over the runbook and rule ownership, train users and maintainers, and review the backlog for the next workflow.
Output: Runbook, training and an updated backlog.
We do not publish package prices. Each estimate is based on an agreed scope, in Canadian dollars, with taxes shown separately. These are the things that move the number most:
We do not quote savings figures in advance. During mapping we record how often each task happens and how long it takes today, so you can estimate the effect with your own numbers and judge whether the work is worth it.
Often not. Microsoft 365, CRMs such as Salesforce and HubSpot, and ERPs such as ERPNext include workflow features. We use those first and suggest new tools only if they clearly justify their cost.
The design includes validation checks, approval points for important steps and a log of every action. Exceptions go to a person, and the manual fallback lets work continue if you pause the automation.
Where it genuinely helps, such as reading an invoice or drafting a summary for a person to review, and never as the final decision-maker for consequential outcomes. We explain the limits, data handling and cost before suggesting it.
Usually a high-volume, rule-based process with a visible pain point and a willing owner, such as purchase approvals or supplier invoice intake. An early success builds confidence for harder workflows.
A practical way to rank candidate workflows by value and feasibility, with an editable prioritization matrix you can fill in with your own numbers.
Apply AI where it clearly helps, from document processing to internal knowledge assistants and forecasting, with human oversight and careful data handling.
Connect the applications your organization runs on so data is entered once, moves reliably, and failures are caught instead of silently lost.
Describe it in a few sentences. We will reply to talk through whether automating it is worthwhile and where to start.