Our solutions at work.

Our solutions at work.

Our solutions at work.

Our digital workforces have been hard at work, helping companies accelerate their growth by optimizing operations, streamlining workflows, and delivering better customer experiences across a variety of industries. Here are some case studies.

Move from offshore

to no-shore

Is the digital workforce AI?

Yes, but with guardrails. We combine generative AI with deterministic logic and human-in-the-loop verification. Unlike a standard chatbot that might hallucinate, our digital workforce is configured to follow your specific business rules strictly. It leverages AI to understand unstructured data (like invoices or emails) but uses rigid logic to execute financial and operational transactions, ensuring 100% auditability.

What does this mean for our existing core back office operations team?

It provides them with operating leverage. Instead of spending hours on data entry, reconciliation, and copy-pasting between systems, your team shifts to an oversight role. They manage the digital workforce by handling "edge cases" and strategic decision-making. We decouple your transaction volume from your headcount, allowing your team to scale output without burnout.

How does Qurrent connect to our systems?

We are platform-agnostic. Our digital workforce integrates directly with your existing stack—whether that’s an ERP (NetSuite, SAP), a CRM (Salesforce), specific vertical software (Clio, Shopify), or banking portals. We connect via API where possible and secure UI automation where necessary, meaning we can read from and write to any system your humans currently use.

What does pricing look like?

We move away from the "per-seat" model that punishes efficiency. Our pricing is generally outcome-based or volume-tiered. This ensures you pay for the value delivered (invoices processed, disputes resolved, reconciliations closed) rather than the number of hours worked. This aligns our incentives: we want the digital workforce to be as fast and accurate as possible.

What happens when our processes or policies change?

We handle the reconfiguration. Because this is a managed digital workforce, you don't need to hire engineers to update scripts. When you update a policy (e.g., a new expense threshold or a change in vendor approval logic), you simply notify us, and we update the digital worker’s runbook. Your operations adapt instantly.

What guarantees do you actually put in the contract?

We commit to strict Service Level Agreements (SLAs) regarding accuracy and turnaround time. We contractually guarantee specific outcomes—such as 99.9% reconciliation accuracy or <5 minute resolution times. If the digital workforce misses a target, we are accountable.

How long does it take to deploy a digital workforce?

Because we don't require a heavy IT overhaul, we can go live in weeks, not months. We start by mapping your current process "as-is." Since our digital workers connect to your existing UI and APIs, we can begin handling live volume in a sandbox environment quickly, ramping up to full volume once you validate the accuracy.

How do you handle security and data privacy?

We operate with enterprise-grade security standards (e.g. SOC 2 Type II, HIPAA). Your data is processed in a secure environment, and unlike a human workforce, our digital workers do not memorize sensitive data, gossip, or fall for phishing scams. We adhere to strict least-privilege access protocols, ensuring the digital workforce only touches the data necessary for the task. See more: https://trust.qurrent.ai.

What happens if the digital worker encounters an error or an unknown scenario?

It pauses and asks for clarification—but only once per scenario. If the digital worker encounters a low-confidence edge case, it flags it for resolution. When a human provides the answer, that decision is instantly codified into the digital worker’s logic. This systematically captures your institutional knowledge, ensuring your team never has to answer the same question twice. You aren't just fixing an error; you are permanently expanding the automation's capabilities.

How do I ensure my digital workers have the latest capabilities given rapid tech advancements?

You subscribe to the outcome, not the technology version. We continuously upgrade the underlying architecture—swapping in the latest LLMs, vision models, and automation frameworks—behind the scenes. You get immediate access to faster speeds, higher accuracy, and new capabilities without needing to reinvest in new software or manage complex migration projects. Your workforce remains "evergreen" by design.

Move from offshore to no-shore

Is the digital workforce AI?

Yes, but with guardrails. We combine generative AI with deterministic logic and human-in-the-loop verification. Unlike a standard chatbot that might hallucinate, our digital workforce is configured to follow your specific business rules strictly. It leverages AI to understand unstructured data (like invoices or emails) but uses rigid logic to execute financial and operational transactions, ensuring 100% auditability.

What does this mean for our existing core back office operations team?

It provides them with operating leverage. Instead of spending hours on data entry, reconciliation, and copy-pasting between systems, your team shifts to an oversight role. They manage the digital workforce by handling "edge cases" and strategic decision-making. We decouple your transaction volume from your headcount, allowing your team to scale output without burnout.

How does Qurrent connect to our systems?

We are platform-agnostic. Our digital workforce integrates directly with your existing stack—whether that’s an ERP (NetSuite, SAP), a CRM (Salesforce), specific vertical software (Clio, Shopify), or banking portals. We connect via API where possible and secure UI automation where necessary, meaning we can read from and write to any system your humans currently use.

What does pricing look like?

We move away from the "per-seat" model that punishes efficiency. Our pricing is generally outcome-based or volume-tiered. This ensures you pay for the value delivered (invoices processed, disputes resolved, reconciliations closed) rather than the number of hours worked. This aligns our incentives: we want the digital workforce to be as fast and accurate as possible.

What happens when our processes or policies change?

We handle the reconfiguration. Because this is a managed digital workforce, you don't need to hire engineers to update scripts. When you update a policy (e.g., a new expense threshold or a change in vendor approval logic), you simply notify us, and we update the digital worker’s runbook. Your operations adapt instantly.

What guarantees do you actually put in the contract?

We commit to strict Service Level Agreements (SLAs) regarding accuracy and turnaround time. We contractually guarantee specific outcomes—such as 99.9% reconciliation accuracy or <5 minute resolution times. If the digital workforce misses a target, we are accountable.

How long does it take to deploy a digital workforce?

Because we don't require a heavy IT overhaul, we can go live in weeks, not months. We start by mapping your current process "as-is." Since our digital workers connect to your existing UI and APIs, we can begin handling live volume in a sandbox environment quickly, ramping up to full volume once you validate the accuracy.

How do you handle security and data privacy?

We operate with enterprise-grade security standards (e.g. SOC 2 Type II, HIPAA). Your data is processed in a secure environment, and unlike a human workforce, our digital workers do not memorize sensitive data, gossip, or fall for phishing scams. We adhere to strict least-privilege access protocols, ensuring the digital workforce only touches the data necessary for the task. See more: https://trust.qurrent.ai.

What happens if the digital worker encounters an error or an unknown scenario?

It pauses and asks for clarification—but only once per scenario. If the digital worker encounters a low-confidence edge case, it flags it for resolution. When a human provides the answer, that decision is instantly codified into the digital worker’s logic. This systematically captures your institutional knowledge, ensuring your team never has to answer the same question twice. You aren't just fixing an error; you are permanently expanding the automation's capabilities.

How do I ensure my digital workers have the latest capabilities given rapid tech advancements?

You subscribe to the outcome, not the technology version. We continuously upgrade the underlying architecture—swapping in the latest LLMs, vision models, and automation frameworks—behind the scenes. You get immediate access to faster speeds, higher accuracy, and new capabilities without needing to reinvest in new software or manage complex migration projects. Your workforce remains "evergreen" by design.

Move from offshore

to no-shore

Is the digital workforce AI?

Yes, but with guardrails. We combine generative AI with deterministic logic and human-in-the-loop verification. Unlike a standard chatbot that might hallucinate, our digital workforce is configured to follow your specific business rules strictly. It leverages AI to understand unstructured data (like invoices or emails) but uses rigid logic to execute financial and operational transactions, ensuring 100% auditability.

What does this mean for our existing core back office operations team?

It provides them with operating leverage. Instead of spending hours on data entry, reconciliation, and copy-pasting between systems, your team shifts to an oversight role. They manage the digital workforce by handling "edge cases" and strategic decision-making. We decouple your transaction volume from your headcount, allowing your team to scale output without burnout.

How does Qurrent connect to our systems?

We are platform-agnostic. Our digital workforce integrates directly with your existing stack—whether that’s an ERP (NetSuite, SAP), a CRM (Salesforce), specific vertical software (Clio, Shopify), or banking portals. We connect via API where possible and secure UI automation where necessary, meaning we can read from and write to any system your humans currently use.

What does pricing look like?

We move away from the "per-seat" model that punishes efficiency. Our pricing is generally outcome-based or volume-tiered. This ensures you pay for the value delivered (invoices processed, disputes resolved, reconciliations closed) rather than the number of hours worked. This aligns our incentives: we want the digital workforce to be as fast and accurate as possible.

What happens when our processes or policies change?

We handle the reconfiguration. Because this is a managed digital workforce, you don't need to hire engineers to update scripts. When you update a policy (e.g., a new expense threshold or a change in vendor approval logic), you simply notify us, and we update the digital worker’s runbook. Your operations adapt instantly.

What guarantees do you actually put in the contract?

We commit to strict Service Level Agreements (SLAs) regarding accuracy and turnaround time. We contractually guarantee specific outcomes—such as 99.9% reconciliation accuracy or <5 minute resolution times. If the digital workforce misses a target, we are accountable.

How long does it take to deploy a digital workforce?

Because we don't require a heavy IT overhaul, we can go live in weeks, not months. We start by mapping your current process "as-is." Since our digital workers connect to your existing UI and APIs, we can begin handling live volume in a sandbox environment quickly, ramping up to full volume once you validate the accuracy.

How do you handle security and data privacy?

We operate with enterprise-grade security standards (e.g. SOC 2 Type II, HIPAA). Your data is processed in a secure environment, and unlike a human workforce, our digital workers do not memorize sensitive data, gossip, or fall for phishing scams. We adhere to strict least-privilege access protocols, ensuring the digital workforce only touches the data necessary for the task. See more: https://trust.qurrent.ai.

What happens if the digital worker encounters an error or an unknown scenario?

It pauses and asks for clarification—but only once per scenario. If the digital worker encounters a low-confidence edge case, it flags it for resolution. When a human provides the answer, that decision is instantly codified into the digital worker’s logic. This systematically captures your institutional knowledge, ensuring your team never has to answer the same question twice. You aren't just fixing an error; you are permanently expanding the automation's capabilities.

How do I ensure my digital workers have the latest capabilities given rapid tech advancements?

You subscribe to the outcome, not the technology version. We continuously upgrade the underlying architecture—swapping in the latest LLMs, vision models, and automation frameworks—behind the scenes. You get immediate access to faster speeds, higher accuracy, and new capabilities without needing to reinvest in new software or manage complex migration projects. Your workforce remains "evergreen" by design.