Services
Intelligent automation
Automation fails in production far more often for organisational reasons than technical ones, because the people who have to use a system reject anything that decides without explaining itself. Corpshore Canada builds intelligent automation and robotic process automation that removes repetitive work while keeping a human in the loop where judgment matters, out of an AI practice ranked fifth of fifty AI outsourcing companies worldwide by Outsource Accelerator. Every automated decision is explainable, logged and reversible, which is what gets these systems into production rather than left as pilots. We combine deterministic automation with AI where AI genuinely helps and refuse it where it only adds risk, and we say honestly which processes should not be automated at all. The work sits under Canadian privacy law with the automated-decision provisions of Quebec Law 25 treated as a design requirement rather than a compliance afterthought.
How the service works
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Process discovery and honest triage
We map the process as it actually runs, not as the procedure document describes it, and we triage each step into deterministic automation, AI-assisted automation or keep-as-human. Some processes should not be automated, and saying so is part of the work, because automating a broken process at speed only produces broken outcomes faster.
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Design with human oversight built in
We design the automation with explicit boundaries on what it decides and what it escalates, a confidence threshold below which a human reviews, and an override that needs no justification. The exception path is designed first, because the exceptions are where an unattended automation quietly does damage.
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Build and controlled rollout
We build in your environment and roll out in a controlled way, running in parallel or shadow mode before the automation carries live decisions. Every decision is logged with its inputs and its reasoning, so the audit trail exists from the first live transaction rather than being reconstructed after an incident.
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Monitoring, drift and continuous improvement
In production we monitor for drift, exception rate and the cases the automation escalates most, and we tune the boundaries as the process changes. The goal is a system that reduces work sustainably, so we track whether it is still trusted and still correct six months on, not just whether it launched.
How we deliver it from Canada
Delivery is from Canada, with automation engineers and process specialists in Ontario, Quebec and Alberta working in your business hours across Eastern, Central and Mountain time. Bilingual capability supports processes that touch Canadian French, and data residency is configured to your requirement including Canadian-only hosting where a public sector buyer asks. Group data operations capacity supports document-heavy automation under one contract where the volume needs it.
Assessment, process triage
An automation specialist mapping a process, triaging it into deterministic, AI-assisted and keep-as-human steps, and returning a costed recommendation with a viability call.
Build, defined automation
An engineering team under a delivery lead building a defined automation with human oversight, logging and an exception path, rolled out in shadow before it carries live decisions.
Programme, automation portfolio
A standing team across a portfolio of automations with a programme lead, shared monitoring and governance, and global data operations capacity behind document-heavy work where volume justifies it.
Compliance and data handling
Automation work is governed under PIPEDA and, where Quebec residents' data is in scope, Law 25, including its provisions on automated decision-making and an individual's right to be informed a decision was made by a system and to request review by a person. Those rights are built into the design as the override and escalation path rather than assessed afterwards. Every automated decision is logged with its inputs, and access and handling follow the relevant group security framework with scope confirmed on request.
Technology
We work in your systems rather than imposing ours, across robotic process automation platforms, workflow and orchestration tooling, intelligent document processing and the AI models a step genuinely needs. We combine deterministic rules with AI where AI helps and avoid it where it only adds unexplained risk. Specific platform choices are confirmed against the process and the residency requirement during assessment rather than prescribed here.
How performance is measured
- Straight-through rate and human review rate
- Exception rate and the accuracy of exception routing
- Processing time and cost per transaction before and after
- Decision reversal rate and time to override
- Drift and error rate monitored in production
Reporting covers the straight-through rate, the exception and override rates and the sustained time and cost change, so the business case is tracked against outcomes rather than a launch. Where the automation starts escalating more or drifting we surface it with the cause and the fix rather than letting an unattended system quietly degrade. Governance runs on an agreed cadence with the analysis prepared by us.
Where this applies
Insurance
Claims intake and triage that routes by complexity and explains every routing decision, where no coverage or settlement decision is made by the system and every step is logged.
Banking and financial services
Onboarding, reconciliation and document processing automated with a human review threshold and a full audit trail a risk committee and a regulator can inspect.
Government and public sector
Case and document workflows automated with Canadian-only data residency, bilingual handling and the transparency and review rights an automated decision under Law 25 requires.
Pricing and engagement models
Intelligent automation is priced as a fixed-scope assessment, a defined build, or a build followed by a managed operation. The assessment is deliberately low commitment because the honest triage is the value, the build is priced against the defined process, and the managed operation is priced as a running service where the automation has to be monitored and maintained. Operational cost reductions of 40 to 75 percent against equivalent in-house effort are typical where a process suits automation.
Frequently asked questions
Will you tell us a process should not be automated?
Yes, and that triage is part of the work. Some processes are too variable, too judgment-heavy or too broken to automate safely, and automating a broken process at speed only produces broken outcomes faster. We map the process as it actually runs and return an honest recommendation, including the steps that should stay with a person.
How do you keep a human in the loop?
Every automation is built with explicit boundaries on what it decides and what it escalates, a confidence threshold below which a person reviews, and an override that needs no justification. Each decision is logged, explainable and reversible. That design is what gets these systems accepted by the people who use them rather than quietly worked around.
What is the difference between RPA and intelligent automation?
Robotic process automation follows deterministic rules, which is ideal for stable, structured steps. Intelligent automation adds AI where a step needs judgment, such as reading an unstructured document or classifying an exception. We combine the two, using deterministic rules wherever they suffice and AI only where it genuinely helps rather than where it adds unexplained risk.
How do you handle Canadian privacy law in automation?
Under PIPEDA and, where Quebec residents' data is in scope, Law 25, including its automated-decision provisions. The right to be informed a decision was made by a system and to request human review is built into the design as the escalation and override path, every decision is logged with its inputs, and data residency is configured to your requirement including Canadian-only.
How do you roll out safely?
We run the automation in parallel or shadow mode before it carries live decisions, so it is judged against the current process on real transactions before anyone relies on it. The audit trail exists from the first live decision, and we monitor drift, exception rate and override rate in production so degradation is caught early rather than after an incident.
How is the cost saving measured?
Against the process before and after, on straight-through rate, processing time and cost per transaction, tracked in production rather than promised at launch. Operational reductions of 40 to 75 percent against equivalent in-house effort are typical where a process genuinely suits automation, and we are candid where the realistic saving is smaller because the exception rate is high.
Build your Canadian team
Tell us the work, the languages and the coverage you need. You will have a considered response within six hours, or book a discovery call now.
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