Business Process Automation (BPA & RPA) Services

Automate repeatable operational work with governed workflows, RPA where it fits, and human controls at the points where judgment or authorization is required.

  • 15+ years of software engineering experience
  • Troy, Michigan
  • Custom software, cloud, ERP, mobile, and enterprise integration capabilities
Business process automation and RPA workflow architecture

Automate a controlled process, not an unsupervised shortcut

Business process automation applies workflow orchestration, rules, APIs, and—when appropriate—RPA to remove repetitive work while keeping validation, exceptions, and authority intact. One Team US designs automation that updates systems of record correctly and routes judgment to people when confidence or policy requires it.

RPA can be useful for legacy UI gaps. It is not a substitute for APIs when APIs exist, and it is not a license to bypass ERP or CRM rules.

When BPA and RPA are appropriate

Current conditionAutomation approachControl needed
Staff re-key data between systemsAPI orchestration or mediated syncIdempotency and audit
Legacy UI has no APINarrow RPA with monitoringBreak detection and human fallback
Approvals stall in emailWorkflow with roles and SLAsDelegation and escalation
Intake arrives as documents or emailStructured capture plus validationReview queues for low confidence
Exceptions are tribal knowledgeRules plus case managementClear ownership
Nightly batch fails quietlyOrchestration with alerts and replayRunbooks

What we automate

Workflow orchestration

Multi-step processes across ERP, CRM, portals, and custom apps.

Rules and decision services

Deterministic checks for completeness, thresholds, and routing.

RPA for constrained legacy steps

Attended or unattended bots only where UI automation is the practical bridge.

Human-in-the-loop review

Queues for exceptions, approvals, and low-confidence extractions.

Notifications and tasking

The right person gets the next action with context—not another inbox flood without ownership.

Audit and evidence

Who approved what, which system was updated, and which automation version ran.

Reference architecture for process automation

Automation is a controlled path from trigger to system update with validation and review gates.

Our automation approach

1. Select a process with measurable volume and clear success criteria. 2. Separate deterministic rules from judgment steps. 3. Prefer APIs; use RPA only for bounded legacy gaps. 4. Implement monitoring, exception queues, and rollback/compensation behavior. 5. Expand only after the first process is stable in production.

Security and governance

Bots and services run under least-privilege identities. Secrets are managed. Changes are versioned. High-impact write-backs require approval modes until evidence supports wider automation. Personal data exposure is minimized at each step.

Industry applications

Manufacturing

Order entry assists, quality packet assembly, and exception routing into ERP.

Field service

Job creation, checklist enforcement, and status sync from mobile to CRM/ERP.

Finance operations

Invoice intake assist, coding suggestions with review, and payment exception queues.

Logistics

Shipment exception triage and customer update workflows.

Healthcare operations

Intake and scheduling assist with staff review before record updates.

Typical implementation timeline

A single well-bounded process can often be automated in a short delivery phase once systems access and rules are clear. Portfolio automation takes longer because each process needs owners, test data, and operational monitoring. Start with one process that hurts weekly.

What affects scope and cost

  • Process complexity and exception rate
  • API availability vs RPA necessity
  • Number of systems touched
  • Approval and compliance requirements
  • Volume and peak concurrency
  • Monitoring and support model

Business outcomes to measure

  • Hours returned per week for the process
  • Straight-through processing rate
  • Exception volume and handle time
  • Error/rework rate versus manual baseline
  • Time to detect automation breakage
  • Adoption by the operating team

Common mistakes

Automating a chaotic process

Codifying disorder scales disorder.

RPA everywhere

Bots on top of bad APIs create fragile estates.

No exception owner

Unhandled failures become silent data corruption.

Skipping audit

If you cannot explain an automated write-back, you cannot defend it.

Frequently asked questions

What are BPA and RPA services?+

BPA designs governed workflows across systems. RPA automates UI steps when APIs are unavailable. We use each where it fits.

How is this different from AI-powered automation?+

AI-powered automation adds model assistance for interpretation or drafting. BPA/RPA can be fully deterministic. Many solutions combine both with review controls.

Can automation update ERP or CRM?+

Yes, through approved APIs or controlled RPA, with validation and audit. The destination system remains authoritative.

Should we start with autonomous actions?+

No. Start with draft, suggest, or attended modes for high-impact writes until quality evidence exists.

How do you handle exceptions?+

Explicit queues, SLAs, and owners. Automation should fail visibly, not invent a value.

What if a bot breaks after a UI change?+

RPA paths include monitoring and fast disable. That fragility is why APIs are preferred when available.

How do you secure bot accounts?+

Dedicated identities, vaulted secrets, least privilege, and separate non-production credentials.

How do we choose the first process?+

High volume, clear rules, measurable pain, and an owner willing to operate exceptions.

Automate the work your teams already own

One Team US can identify a high-friction process, design the control model, and implement automation that updates the systems of record correctly.