Agents and pipelines that handle repetitive work across your systems, from triage and data entry to reports and admin.
Discipline: AI Agents
Working term: Senior people you meet are the people doing the work
Formats: ongoing monthly work or a single audit
Who you talk to: the senior lead, on every weekly call
The service
Our approach to Workflow Automation
These are the quiet automations that give a team hours back each week: read a form, add missing details, make a decision, update three systems and notify someone. Each step is idempotent, retried on failure and logged, so it is safe to leave running and easy to check when it needs attention.
Before work starts, we agree on the number that matters most to you. Each sprint is planned against it. You get a short recorded update every week and a dashboard you can open any time, and the senior lead joins every call.
A senior lead runs your account from day one
A recorded walkthrough each week and a shared reporting dashboard
We work inside the tools and CMS your team already uses
Target ranges written into the agreement before we begin
Our Process
Four stages of Workflow Automation
The same order every time: find the constraint, plan, deliver, then review. Here is what each stage involves.
01
Find the constraint
We record a baseline for Workflow Automation, look for what is holding results back, and write down the numbers you will judge us by.
02
Put the work in order
A senior lead drafts a 90-day plan. Fast fixes come first; the slower, harder-to-copy work is scoped to follow them.
03
Deliver every week
Work goes live in weekly batches. Tracking and reporting are kept current against the targets you approved at the start.
04
Review and adjust
Once a month we compare results to the plan and change course where the data says to. You can see where each dollar went.
Every team spends time on predictable, rule-based work: data entry, routing requests, processing forms, building reports. We map those tasks, confirm which ones are worth automating and build the workflows. People move to work that needs them, and the errors that come with manual re-typing go away.
It is the most direct way to add capacity without hiring.
Mapping of tasks worth automating
Data entry, routing and processing automated
Fewer manual errors
Time freed for higher-value work
02
How progress tends to build
Commercial terms usually move later than technical fixes
AI where rules can't reach
Handle messy input and judgement calls
Traditional automation follows fixed rules and stops at anything unexpected. Adding AI lets a workflow classify requests, pull details out of invoices, emails and PDFs and make simple judgement calls. We combine predictable rule-based steps with AI only where it adds value, and send uncertain cases to a person for review.
That reaches the messy work that used to need a human every time.
AI classification, extraction and judgement
Documents and emails read automatically
Rule-based steps combined with AI
Uncertain cases flagged for review
03
Content velocity
Briefed, drafted, edited, shipped
Connected & reliable
End-to-end flows with alerts
An automation that breaks quietly can do more harm than the manual process it replaced. We connect your tools into complete workflows with error handling, retries, monitoring and alerts, so you hear about a failure right away. Common connections include CRMs, accounting software, e-commerce platforms and shipping carriers like Canada Post and Purolator.
Reliable automation is something you can stop worrying about.
Complete workflows across your tools
Error handling and retries
Monitoring and failure alerts
Automation you can depend on
Our working terms
What a Workflow Automation engagement includes
These describe how we staff, report on and scope the work. They hold from the first week, before any result exists to point at.
A named senior specialist leads each account
Progress shown in live Looker Studio dashboards
Measured on leads and revenue
Senior
People you meet are the people doing the work
Written
Scope and price agreed before work starts
Weekly
Progress updates in plain language
CAD
Scoped and invoiced in Canadian dollars
FAQs
Before you sign: common questions
Straight answers on scope, timing and how we report.
What can workflow automation do for us?
It takes repetitive tasks off your team, connects tools that currently need manual copying and, with AI, handles messy input like emails and PDFs.
How is this different from Zapier or Make?
Those tools are excellent for simple, structured steps, and we use them when they fit. AI-assisted workflows add the ability to read documents, classify requests and handle exceptions, so more of the process can be automated.
What if an automation breaks?
We build in error handling, retries, monitoring and alerts, so problems are flagged immediately.
How do you choose what to automate first?
We look for repetitive, high-volume, error-prone tasks where automation saves the most time, then build them using the right mix of rules and AI.
Tell us about the business and a senior specialist will get back to you within one business day. If starting with AI Agents looks like the wrong first step, we will say so and suggest what to fix first.
