We digitize and optimize how work moves through your business.
Find your starting point
“Our team re-keys the same data into three systems.”
“Requests, applications, or orders arrive by email and get handled by hand.”
“Staff keep answering the same questions and searching for documents.”
“Our core process is too specific for off-the-shelf software.”
“We want to use AI, but we need control over data and access.”
“We want AI, but we don’t know where to start.”
Process digitization
Turn manual steps into systems people actually use
Work that lives in spreadsheets, email threads, and someone’s memory is slow to run and hard to measure. We start by mapping how a process really works today, then build the software that carries it - so steps stay consistent, status is visible, and results can be counted.
For the Shooting Federation of Canada, that meant replacing scattered data collection with a single member platform and saving significant staff hours. For Dell, it meant order tools that cut agent call length by 22%.
Custom applications
Build the system when the process is the business
Some processes are too specific for anything off the shelf, and they are usually the ones that matter most. We design and build those applications, take them to production, and stay with them afterward - because a system that runs operations is never finished at launch.
Planet Energy launched a sales platform in ten weeks and expanded into seven territories on it within the first year. Our partnership with Carbon60 has been running for twelve.
We also build AI into the applications themselves - summaries, drafted replies, search by meaning, and forms that fill themselves from documents.
Systems integration
Connect the systems that already run your business
ERP, CRM, finance, document stores, and the custom applications you depend on rarely speak to each other cleanly. We build the interfaces between them so data moves once and correctly, and people stop re-entering it by hand.
At Sangoma we brought accounting, CRM, and issue tracking together behind one partner portal serving 1,400 resellers. At Dell we removed manual data transfer between internal systems entirely.
Clean, connected data is also what AI needs to give correct answers. Many AI projects stall there, and it is work we have been doing for twenty years.
AI agents and automation
AI agents that act in your systems
An AI agent goes beyond answering a question - it completes the request. It understands what someone is asking for by email, web chat, or a staff request, confirms who they are, checks your rules, and makes the change in your CRM, ERP, or custom application. Then it confirms the result and records every step.
Clear cases are finished end to end. Anything outside the agent’s limits - a policy exception, a refund above a set amount, a request it is not sure about - goes to the right person with the full context and a recommended decision, ready to approve.
Think of moving a participant to a later program date, processing a reseller’s return, renewing a membership, or updating an account and notifying billing - routine work that today takes several systems and several people.
We build the parts that make this safe and measurable: narrow access into each system, limits on what an agent may do on its own, approval steps inside the tools your staff already use, and an audit trail of every action. You see how many requests were completed automatically, how many were escalated, and how much time it saved.
Request and document automation
Applications, orders, invoices, support tickets, and incoming email often arrive as documents someone has to read, re-type, and route. AI reads them, pulls out the data, checks it against your rules, and sends each case where it belongs - into the right system, with a person approving anything unclear. Your staff spend their time on decisions instead of data entry.
Knowledge assistant and semantic search
Policies, procedures, contracts, and the history in your systems hold the answers your staff keep asking each other for. A knowledge assistant answers from your own documents and data, links to the source so people can check it, and searches by meaning rather than exact words - across languages. Each person sees only what their role allows.
Agent-ready APIs and governance
An agent is only as safe as the access it is given. We turn your existing systems into narrow, well-documented tools an agent can use, then wrap them in permissions, approval steps, and an audit trail. We also measure how often the agent gets it right, so you can widen what it handles as the results earn it.
Where it runs, and who can see what
Your AI can be hosted in Canada or the US, in your own environment, or in a private cloud. Access follows roles, so each person and each agent sees only what they are allowed to. Your data is used only for your use case, every action is logged, and our security documentation is available on request.
Built on proven platforms
We build on proven AI platforms and models - in-house or with established partners - and choose what fits each process, your security requirements, and where your data must live. You are not locked into a single vendor.
Not sure where AI would pay off? Book a free process and AI scan - we look at one process with you and show you where it does.
How we work with you
A senior team that works as part of yours
The same people show up week after week, inside your backlog, process, and tools. They own outcomes with your leaders and stay long enough to understand the business, not just the ticket. We favor multi-year partnerships, and several have run for over a decade.
Or a focused build to start
Sometimes the right beginning is one system: a new build, an upgrade, or a program that needs to move again. We take responsibility for delivery through a working release. Many of our longest partnerships started exactly this way, with the same team staying on once the system was live.
How we operate
We work remotely by default, joining your tools and rituals, with on-site time when it helps. Our people average more than fifteen years in the industry, and we measure ourselves on what ships and what stays healthy afterward.
FAQ
What does business process digitization actually involve?
It usually starts with mapping how a process runs today, including the parts that live in spreadsheets and email. From there we build or integrate the software that carries those steps, then measure what changed - cycle time, manual effort, error rates, and cost.
Where does AI fit into your work?
Where it removes real work: agents that complete routine requests, automation for document-heavy steps, and assistants that answer from your own knowledge. We build it on clean APIs, permissions, and audit trails so it is safe to rely on, and the free process and AI scan shows where it pays off in your process.
What happens in the free process and AI scan?
We look at one process with you in a 45-minute working session: how it runs today, which systems it touches, and where time and errors go. Within a few days you get a short written summary with the biggest opportunities, their rough effort and impact, and a recommended first step. It is free, with no obligation.
Where is our data hosted, and who can see it?
In Canada or the US, in your own environment, or in a private cloud - whichever your requirements call for. Access follows roles, your data is used only for your use case, and every action an agent takes is logged.
Which AI platforms do you use?
Proven AI platforms and models, in-house or with established partners. We choose what fits the process, your security requirements, and where your data must live, so you are not locked into a single vendor.
Do you work on-site or remotely?
Remotely by default. We join your tools and rituals and work as part of your team, with on-site time when it is useful.
Who do you typically work with?
Operations and business leaders who own a process, and CTOs and VPs of Engineering who own the systems behind it. We work best alongside counterparts who want a partner that owns the work with them.
How senior is the team?
Dedicated senior engineers - on average 15+ years of industry experience - who stay with the engagement.
How long do engagements usually last?
We favor multi-year partnerships. Some start as a focused build and some as a long-term team. Either way, the goal is continuity - the same people staying long enough to matter.
Ready to start?