The same work keeps coming back
Someone copies it, checks it, moves it, then follows up to make sure it happened.
Technology should solve the problems that hold your business back.
Main Sequence helps small businesses improve the way work gets done. We find the bottleneck, fix the process, and build the right technology around the people who use it.
Main SequenceBusiness technology
The problemWork keeps getting stuck in the same places.
The decisionUse the right technology for the actual job.
The resultGive the team a better way to work.
PROCESS BEFORE PLATFORMCANADIAN-OWNEDBUSINESS-FIRSTBUILT AROUND YOUR TEAM
You have probably seen this before
The expensive parts of a business often look ordinary.
No single step seems terrible. Put the steps together across a month, though, and they take time away from customers, sales and the work only your people can do.
Customers wait for a response
Good inquiries sit in an inbox while the team handles the work already in front of them.
Your answers live in too many places
Staff search old emails, folders and spreadsheets for information the business already knows.
How we can help
From the first look at the problem to a system your team can use.
We can handle one focused improvement or stay with the work through design, development and rollout. The scope should fit the problem, not the other way around.
01
Review the full service portfolioBusiness process & cost review
We find the repeated work, missed handoffs and hidden costs that deserve attention first.
02Workflow redesign & automation
We simplify the steps and connect the tools your team uses, from email and forms to CRM and reporting.
03AI assistants & business knowledge
We build useful assistants around your approved documents, processes and customer information.
04Custom applications & system integration
We build focused applications around your workflow when a large platform would add cost, seats and features you do not need.
05AI training & team adoption
We train people on their own work, including safe use, better prompts, answer checking and clear internal rules.
06Ongoing support & improvement
We stay with the rollout, fix friction and check whether the new way of working is saving time or reducing mistakes.
Selected work
Agent systems built around work that needed to run better.
Each project began with a task that took too long, lost context or asked people to rebuild the same information. We gave the workflow a clearer path and kept a person in control wherever judgment mattered. For private work, we have left out client names and identifying details.
Supply Chain Operations Agent
Use case
A supply chain team needed to route purchasing work, trace the effect of disruptions and prepare recovery decisions without giving software authority to make commitments.
Agents at work
A realtime voice agent handles the spoken briefing. Routing and recovery agents collect evidence, trace impact and prepare options so a person can make the operational decision.
Sales Opportunity Agent
Use case
Sales opportunities arrived as emails, documents and copied notes. Staff had to rebuild the context before they could decide who should follow up.
Agents at work
Research, qualification and drafting agents share one evidence record. They can prepare a recommendation and a relevant email, but the seller decides whether the opportunity fits and what leaves the company.
Vitrifold Product Configurator
Use case
A configurable product needed a clearer path from hundreds of possible combinations to a useful sales inquiry.
Agents at work
A deterministic configuration agent carries valid choices forward, compiles the specification and prepares the inquiry context. The core workflow does not need generative AI to be useful.
Shoremetric Operating-Window Planner
Use case
Field teams needed to compare changing forecast conditions with the operating limits of a planned job.
Agents at work
A forecast agent retrieves the conditions, while a planning agent applies the operating limits and finds consecutive workable hours. A briefing agent packages the assumptions for the field team.
Scientific Process Control Workspace
Use case
A scientific team needed one place to prepare, simulate and review a controlled laboratory workflow.
Agents at work
The setup agent checks the run plan, the observer agent records simulated events and the review agent assembles the history. Scientists keep control of the procedure and any future hardware action.
Industrial Decision Support Workspace
Use case
Operators reviewing an abnormal condition needed to connect signals, possible causes, operating goals, constraints and procedures before choosing an action.
Agents at work
A goal-to-map agent builds a stable decision structure, a scenario agent evaluates operating states and a record agent preserves the rationale. Every node remains inspectable and editable.
A focused first build
One useful agent can be enough to remove a costly workaround and prove whether a larger investment makes sense.
Where the work often starts
Bring the problem you complain about every week.
Quotes start from old filesCollect the right details and prepare a consistent first draft.Preparation time and rework
Inquiries sit in a shared inboxSort, route, draft and flag the messages that need a person.Response time and missed requests
Staff search for the same answersMake approved policies, product details and procedures easy to search.Search time and consistency
Reports are assembled by handPull recurring updates into one review-ready report.Admin time and reporting delays
Why Main Sequence
Business judgment comes with the build.
Main Sequence brings 25 years of sales, consulting and commercialization experience to the work. That matters because a technically impressive system can still be a poor business decision.
We look at the people, the cost, the data and the way the job gets done now. Then we build the smallest answer that can prove its value.
Visit the Main Sequence corporate siteClear ownership
Human review where it matters
Results measured before expansion
Before we talk
A few useful answers.
You do not need a polished brief. One real problem is enough to start a useful conversation.
01Do we need to know anything about AI?
No, you can explain the problem the same way you would explain it to another business owner. We handle the technical detail if the project needs it.
02What if AI is a poor fit for the problem?
We will say so. A better process, an automation rule, or a feature in software you already pay for may solve it with less cost and less disruption.
03Can you work with our current software?
In many cases, yes. We start with your current tools and the way your team works today. Replacing a system only makes sense when the business case supports it.
04Does custom software require a large budget?
It depends on the job. We start with one costly workflow and a small first release, then compare the build cost with the subscriptions, staff time and workarounds it could replace. You can make the decision with real numbers before committing to more.
05Can you train a team that is new to AI?
Yes. We work from the jobs people already do and keep the sessions practical. The team learns where AI can help, what information to protect, how to check the output and when a person needs to make the decision.
06How do we know the project paid off?
We agree on a baseline before the build. Then we measure the change in staff time, response time, errors, rework, missed follow-up, or another cost the business can see.
Start with one problem
What is taking more time than it should?
Tell us what keeps getting delayed, repeated or missed. We will help you decide whether it is worth fixing and where to begin.