Automation & integrations · Vancouver & Canada
Connect your systems. Streamline your operations.
Connect the tools your team already uses. We help you turn repetitive handoffs into dependable workflows, combining system integration, defined business rules and AI where it adds value.
Start where the work gets stuck
Manual data entry, file transfers, approval requests and reporting can become significant operational workloads. The first task is to understand the complete workflow, including the exceptions that make it difficult.
We map the people, systems and decisions involved before proposing an integration or automation. The first release needs a clear business purpose and a baseline against which to assess it.
Practical opportunities to explore
- Connect intake forms to a CRM or operational system.
- Route requests to the right person with approval steps where needed.
- Assemble reporting inputs from separate sources.
- Extract information from documents into a review queue.
- Synchronize records while defining which system is the source of truth.
Design for exceptions and recovery
Expired credentials, unavailable services and changing source data need defined recovery paths. We address retries, duplicate prevention, error notifications and manual recovery in the production scope.
For AI-assisted steps, decide what must be reviewed and how uncertain results are handled. These decisions make the difference between a helpful pilot and a process your team can depend on.
Build on what you already have
An automation project does not have to replace your core systems. We look for a workable route through the tools, access and budget available, and document where a deeper software change would be needed.
A concrete workflow example
In CareOps, selected project activity becomes an AI-assisted report draft for a staff member to review and publish. Collection, generation and approval are separate steps. The workflow connects source collection and report preparation while keeping staff responsible for the final client version.
Read our AI pilot-to-production guide for the quality, permissions and operating questions to resolve before release.
Start with an integration assessment
Choose one handoff and the systems on either side. Bring a walkthrough, the source-system owner, available API documentation and an approved sample of the records involved.
We scope the field mapping, source of truth, permissions and exception paths before proposing an implementation. A technical spike may be needed to check API access or prove that duplicate processing can be prevented. The output is a workflow map, feasibility findings, acceptance checks and a proposal with explicit assumptions.
The assessment provides a recommendation and delivery scope for the workflow. Schedule, fees and system access are agreed in advance; production changes follow a separate release approval.
Our discovery guide shows how a brief, option comparison, acceptance checks and handover plan fit together.
Before we begin
Good questions.
Clear answers.
Does every automation need AI?
No. Rules and ordinary integrations are often simpler for predictable tasks. AI may help with unstructured information, but it also introduces uncertainty that the workflow needs to manage.
Can you connect our existing tools?
We first check their APIs, permissions, licensing and data formats. Some systems support a direct integration; others need a different approach or a change to the workflow.
How will we measure whether it worked?
Agree on a baseline before the pilot: processing time, manual steps, rework or another relevant measure. Compare the pilot against that baseline, including exceptions and the time spent reviewing outputs.
Discuss your next project
What does your
organization need next?
Tell us about your priorities, current systems and the change you want to make.
We’ll help define the scope and approach.