Too much work is still manual and hard to scale

Routine work still depends on people reviewing, routing, checking, and following up by hand.

1,500+ Organizations served, including 48 of the Fortune 1000

The short answer

Why is manual work so hard to scale?

As volume grows, teams keep relying on manual review, data entry, routing, follow-up, and error correction. Even with digital tools in place, the process still depends on people interpreting inputs and manually pushing stalled work forward.

Why this happens

What keeps work manual even after digital tools are in place

Incoming work isn’t consistent

Incoming work is not consistent enough for systems to handle on its own.

Information isn’t available

The information needed to continue work is not consistently available when it’s needed.

People still coordinate the work

The workflow still depends on people coordinating the work from one step to the next.

These factors lead to slower processing, unnecessary headcount growth, backlog buildup, and unpredictable turnaround times.

How we help

How we help you scale without scaling headcount

Step 1

Clean Up Intake

Reduce the manual work entering the process.

  • Capture data automatically
  • Reduce manual entry
  • Standardize incoming work
Step 2

Reduce Rework

Cut down corrections and re-entry.

  • Reduce corrections and re-entry
  • Validate information automatically
  • Minimize search time
Step 3

Keep Work Moving

Reduce follow-up and queue monitoring.

  • Automate task routing
  • Reduce queue monitoring
  • Eliminate unnecessary handoffs
Step 4

Scale the Work

Grow volume without growing headcount.

  • Reduce backlog growth
  • Improve turnaround times
  • Support higher volumes

Ways we support

Reducing the manual work hiding inside your process

Intake

Make incoming work usable

Manual work often begins before the real process even starts. Teams open emails, review forms, sort documents, enter data, and decide what something is before it can move.

Capture & Extraction AI & Automation
Refine

Remove the manual judgment calls that don’t scale

Even after documents are captured, someone often has to manually decide which version is current, resolve a duplicate submission, or categorize a record by hand. We apply that judgment at scale instead of one record at a time.

Intelligent Document Processing Data Quality and Record Matching
Manage

Organize and govern information

Work stalls when the next step depends on finding the right document, validating details, or reconciling data across systems.

Legacy Modernization ECM Cloud Hosting
Activate

Help workflows run without constant follow-up

The goal is not just to automate tasks. It is to reduce the amount of routine work people still have to manage manually.

Content & ECM Capture & Extraction

Real-world example

A healthcare payer processing growing claims volume

A healthcare payer was processing growing volumes of claims-related documents and service requests across multiple teams and systems. Digital tools existed, but staff still had to review submissions, enter data, route work, follow up on missing information, and monitor queues.

The challenge

As volume increased, queues built faster, with more items requiring manual review before work could continue.

Growing backlogs

Queues built faster as volume increased with more items requiring manual review.

Slower turnaround times

Processing slowed because staff had to keep work moving step by step.

Headcount growth

Additional staff were needed to manage review, routing, follow-up, and exception handling.

The impact

Reducing manual review, routing, and follow-up helped the organization process more work without proportional staffing increases.

Faster turnaround

Work moved through the process more quickly during volume increases.

Less manual review

Teams spent less time checking, routing, and correcting routine work.

Reduced queue backlogs

Fewer items stalled waiting for review and follow-up.

FAQ

Manual work and scaling questions

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