Document processing
Extract, classify, summarize, route, and validate information from invoices, forms, reports, contracts, or other recurring documents.
CERLIEN designs practical AI automation around real workflows: repetitive administration, document-heavy processes, internal knowledge, customer operations, and systems that need better decision support.
Every engagement starts with the workflow, users, systems, data, constraints, and measurable result. The technology follows the problem.
We start by mapping the current process, the systems involved, the decisions that require human judgement, and the points where errors or delays occur. Then we design the smallest useful automation that can be tested against a real outcome.
AI is not automatically the right answer. Some workflows are better solved with standard software, integrations, rules, or a combination of AI and deterministic logic. The architecture should match the operational risk and the quality of the available data.
Extract, classify, summarize, route, and validate information from invoices, forms, reports, contracts, or other recurring documents.
Help staff find answers across approved internal information while keeping the source material visible and reviewable.
Connect email, forms, spreadsheets, CRMs, databases, and internal tools to reduce manual copying, follow-up, and repetitive administration.
Support intake, triage, drafting, routing, and common enquiries while keeping escalation paths for situations that need a person.
AI automation combines software workflows with AI models so repetitive or information-heavy tasks can be completed with less manual effort. A production workflow may also include business rules, integrations, approvals, and human review.
AI automation can be useful for professional services, operations teams, e-commerce, finance, administration, customer support, and other businesses with repetitive document, data, communication, or workflow tasks.
Yes. Where supported by the systems involved, AI workflows can connect to APIs, databases, CRMs, internal tools, email, document stores, and other software instead of forcing a separate process.
Both. A focused prototype can validate feasibility first, while production work adds testing, permissions, error handling, monitoring, and appropriate human checkpoints.
Yes. CERLIEN is based in Toronto and can help scope AI opportunities, assess workflow fit, design an implementation approach, and build the resulting automation.
Send the workflow, challenge, or product idea. We’ll help turn it into a clear technical starting point.