Document intake
Your team spends hours collecting, naming, checking, organizing, and following up on documents before the real work can begin.
Explore this workflowAI Workflow Consultancy
Your team is not slow.Your workflows are.
Red6 helps SMB and mid-market companies remove manual operations bottlenecks, then builds AI where it actually pays back.
If work is stuck in inboxes, spreadsheets, portals, shared drives, and follow-up loops, another AI tool will not fix it. We map the workflow, clean up the process, and ship automation your team actually uses.
Most companies do not have an AI problem. They have a workflow problem.
The process lives across inboxes, spreadsheets, portals, shared drives, and a few people’s heads.
Someone knows which file to download. Someone else knows what to check. A senior person gets pulled in because the rules are not written down. A coordinator copies data between systems because the tools do not talk to each other.
Then the business grows, and the only answer seems to be hiring more people.
That is the trap.
AI does not fix a broken workflow. It just makes the broken workflow look more modern.
Red6 fixes the workflow first. Then we automate the parts that should not be manual anymore.
You have probably already tried to fix this.
You bought the tool.
You ran the pilot.
You asked the team to document the process.
You sat through the demo that looked perfect.
But the real work still moves through inboxes, spreadsheets, portals, screenshots, forwarded emails, and people’s memory.
That is not your team’s fault.
The workflow underneath was never rebuilt.
Red6 rebuilds it.
We find the stuck work. We fix the process. We build the automation.
Red6 works with SMB and mid-market operations teams that are losing time to manual, repeatable work.
We start by sitting with the people doing the work. We trace how requests, documents, data, and decisions actually move. Then we identify the highest-leverage bottleneck and redesign the workflow around speed, ownership, and visibility.
Only after that do we build automation.
Not because AI sounds impressive.
Because the work is repeatable, painful, and expensive enough to automate.
Where Red6 helps
We work best where important work is trapped inside messy, manual systems.
Shared inbox routing
Requests pile up in inboxes. Routing is inconsistent. Urgent work gets missed. Teams waste time figuring out who owns what.
Explore this workflowPortal-based workflows
Operators log into multiple portals to download, upload, verify, reconcile, or chase information.
Explore this workflowCompliance-heavy review
The work needs speed, but it also needs traceability, human review, and clean source records.
Explore this workflowBack-office operations
Growth keeps requiring more coordinators, analysts, or admin headcount because the process does not scale.
Explore this workflowManual reconciliation
Teams compare PDFs, spreadsheets, emails, exports, and system records by hand because the source data is messy.
Explore this workflowMap. Fix. Build. Run.
Step 1: Map
We sit with your operators and trace how the work actually moves.
Not the process in the SOP.
The real one.
Who gets the request. Where the files go. What people check. What gets copied. What gets missed. Where work waits. Where judgment is needed.
Step 2: Fix
Before adding AI, we clean up the workflow.
That may mean better queues, clearer ownership, cleaner templates, exception rules, source-of-truth fields, or a simpler handoff between teams.
Sometimes the answer is not automation yet. Sometimes the process is too messy to automate responsibly.
We tell you that.
Step 3: Build
Once the workflow is clear, we automate the repeatable parts.
Intake. Classification. Extraction. Routing. Drafting. Reconciliation. Follow-up. Status updates. Exception flagging.
The goal is not to replace judgment.
The goal is to remove the work that prevents judgment from happening faster.
Step 4: Run
We launch the system with your team, monitor the workflow, and improve it until it becomes part of daily operations.
No science projects.
No tool your team avoids.
No automation that only works in a demo.
Built for measurable operations lift
Tax practice intake automation
Peak season was being wasted on document chasing.
We rebuilt intake, created a prep-ready queue, and gave the team back 26 hours per week.
Read the case studyInsurance correspondence routing
Requests were disappearing into inboxes and handoffs.
We turned the chaos into a reviewable queue and cut first-touch triage time by 74%.
Read the case studyCustoms drawback package assembly
Drawback prep took days because the source data was messy.
We built a source-traceable package assembly workflow that cut prep from 32 hours to 4.
Read the case studyWe are the team operators call when the demo looked good, but the work still did not get faster.
Most AI projects fail because they start with the technology.
We start with the work.
What is the workflow? Who touches it? Where does it slow down? What data is needed? What should be automated? What should stay human? What would make the team faster next week, not next year?
That is how useful automation gets built.