ENTERPRISE FUNCTIONS
Built around the functions where operational quality changes outcomes.
BergLabs runs AI-assisted operations across the enterprise functions that carry the most volume, the highest stakes, and the tightest compliance requirements.
Where do you need operational control?
Each function runs on the same operating model: structured queues, QA at every step, human review where it counts, and outcomes you can measure.
CX & CUSTOMER OPS
CX & Customer Ops workflows, run with SLA-backed control.
CX & Customer Ops
Where CX & Customer Ops automation breaks in production.
SLA context gets lost
Production breakpoints
SLA context gets lost
Tickets bounce between tools without urgency, segment, account context, or a clear owner.
Policy decisions over-automate
Refunds, returns, escalations, and sensitive messages need reviewed decision support, not blind automation.
How the operating layer carries it.
01 - Intent classification
Tickets are sorted by intent, urgency, customer segment, SLA risk, and owner before they hit the queue.
02 - SLA-backed routing
Work routes to the right pod or automation path with response clocks and escalation rules visible.
03 - QA feedback loop
Resolved work is sampled, scored, and fed back into reviewer coaching and knowledge-base fixes.
CX workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Ticket triage + routing | TR | Classify intent, urgency, customer segment, SLA risk, and owner before work lands in a support queue. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| Refund/returns decision support (reviewed) | RF | Prepare policy-backed recommendations while keeping approvals with the right human owner. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| QA sampling + coaching | QA | Sample conversations, score quality, identify knowledge gaps, and push coaching notes into the review loop. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| Escalation handling + approvals | ES | Detect risk signals early, route to the right specialist, and track approval state against SLA. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| Knowledge base gap detection | KB | Find repeated customer friction and turn it into tracked knowledge work for CX and product teams. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| PII/compliance checks in customer comms | PI | Flag sensitive language and regulated content before AI-assisted responses reach the customer. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| Call/chat summarization + disposition | CS | Summarize conversations, apply disposition tags, and hand clean context to downstream systems. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
| Customer sentiment tagging (reviewed) | ST | Tag sentiment and churn signals with human review for strategic accounts and edge cases. | Human review for exceptions and sampled QA. | Zendesk, Intercom, Salesforce Service Cloud | Faster cycle time with cleaner control. |
SALES & MARKETING OPS
Sales & Marketing Ops workflows, run with revenue accountability.
Sales & Marketing Ops
Where Sales & Marketing Ops automation breaks in production.
Routing context gets fragmented
Production breakpoints
Routing context gets fragmented
Leads move across tools without territory logic, SLA urgency, or clean owner assignment.
Personalization lacks review
AI-assisted outreach can move fast while strategic-account messaging still needs approval.
How the operating layer carries it.
01 - Lead quality gate
Accounts are enriched, deduped, and checked before they move into revenue systems.
02 - Campaign ops control
Lists, segments, and campaign handoffs are reviewed before outreach or reporting depends on them.
03 - Pipeline hygiene
Stale records, missing fields, and handoff gaps are queued for clean-up with owner visibility.
Sales workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Lead enrichment + validation (reviewed) | LE | Enrich accounts, validate fields, and keep high-impact changes in a reviewed lane. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| Lead routing + territory assignment | LR | Route leads by segment, territory, SLA, source, and account ownership before seller handoff. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| Pipeline hygiene + duplicates | PH | Detect duplicates, missing fields, stale stages, and hygiene gaps across pipeline records. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| Account intent scoring | AS | Score intent signals and route account movement for human approval where stakes are high. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| ABM campaign QA | AQ | Check campaign lists, personalization inputs, and suppression rules before launch. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| MQL→SQL handoff | MS | Package context, qualification notes, next action, and owner state for clean handoff. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| Outreach personalization with review | OP | Draft personalized outbound while reviewers approve strategic-account messaging. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
| Forecasting data integrity | FD | Flag pipeline data drift, missing close logic, and forecast-quality exceptions. | Human review for exceptions and sampled QA. | Salesforce, HubSpot, Clay | Faster cycle time with cleaner control. |
FINANCE & ACCOUNTING OPS
Finance Ops workflows, run with reconciliation discipline.
Finance & Accounting Ops
Where Finance & Accounting Ops automation breaks in production.
Exceptions outgrow spreadsheets
Production breakpoints
Exceptions outgrow spreadsheets
Invoice, payment, and vendor issues need ownership, status, and evidence instead of scattered comments.
Audit evidence appears too late
Finance teams need every decision, approval, and output traceable before close pressure begins.
How the operating layer carries it.
01 - Match and reconcile
Invoices, payments, disputes, and exceptions are matched against source evidence before closure.
02 - Exception ownership
Unclear items get a queue, an owner, a next step, and a visible aging trail.
03 - Close readiness
Recurring checks and evidence packs help finance teams close with fewer manual surprises.
Finance workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Payment reconciliation + dispute resolution | PR | Match payments, flag disputes, route evidence, and keep unresolved items visible. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Invoice intake + exception triage | II | Capture invoice data, match references, and route exceptions to the right reviewer. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Vendor onboarding checks | VO | Verify vendor data, documents, risk fields, and approval state before activation. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Expense classification + audit | EA | Classify expenses, sample anomalies, and preserve audit-ready evidence. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| AR collections workflows | AR | Prioritize aging accounts, draft follow-ups, and track owner action. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Month-end close support | MC | Structure close tasks, evidence gaps, and reconciliation status by owner. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Tax document validation | TD | Check document completeness, field accuracy, and reviewer handoff. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
| Procurement approval workflows | PA | Route approvals, policy exceptions, and supporting evidence through a governed lane. | Human review for exceptions and sampled QA. | NetSuite, QuickBooks, SAP | Faster cycle time with cleaner control. |
HR & PEOPLE OPS
HR Ops workflows, run with employee experience standards.
HR & People Ops
Where HR & People Ops automation breaks in production.
Employee context splits across systems
Production breakpoints
Employee context splits across systems
Onboarding, tickets, documents, and approvals drift when ownership is unclear.
Policy exceptions need care
Benefits, mobility, and compliance workflows need reviewed decisions, not unattended automation.
How the operating layer carries it.
01 - Employee journey queue
Candidate, onboarding, employee, and offboarding tasks move through owned queues.
02 - Policy-safe routing
Sensitive work stays behind review thresholds and documented approval paths.
03 - Completeness checks
Documents, access steps, and people-data updates are checked before they are marked done.
HR workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Employee onboarding workflow ownership | EO | Coordinate onboarding steps, owners, deadlines, and system updates through one governed queue. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Document verification | DV | Check forms, eligibility data, policy requirements, and missing evidence before approval. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| HR ticket triage + routing | HT | Route employee requests by category, urgency, policy, and owner. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Benefits enrollment QA | BE | Sample benefit selections, deadline gaps, and eligibility issues for review. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Performance review prep | PR | Collect review inputs, missing fields, cycle readiness, and manager reminders. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Internal mobility processing | IM | Track role changes, approvals, eligibility, and transition tasks. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Offboarding workflows | OF | Coordinate access removal, documents, assets, and exit process ownership. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
| Compliance training tracking | CT | Monitor completion, reminders, exceptions, and audit-ready training evidence. | Human review for exceptions and sampled QA. | Workday, BambooHR, Greenhouse | Faster cycle time with cleaner control. |
LEGAL & COMPLIANCE OPS
Legal & Compliance workflows, run with audit-grade governance.
Legal & Compliance Ops
Where Legal & Compliance Ops automation breaks in production.
Risk context is not a field
Production breakpoints
Risk context is not a field
Clauses, obligations, and privacy requests require interpretation and reviewer accountability.
Evidence scatters across tools
Audit-readiness suffers when source, decision, approval, and output are not linked.
How the operating layer carries it.
01 - Risk flagging
Contracts, clauses, filings, and evidence requests are reviewed against policy thresholds.
02 - Counsel-ready packets
AI-assisted extraction prepares the facts, while legal reviewers keep judgment in the loop.
03 - Audit evidence trail
Approvals, changes, source documents, and outcomes remain tied to a searchable record.
Legal workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Clause extraction + risk flagging | CE | Extract terms, obligations, and risk signals while reviewers handle judgment calls. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Compliance document checks | DC | Check document completeness, policy mapping, and required evidence before submission. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Evidence pack preparation | EP | Collect source files, decisions, approvals, and logs into audit-ready packs. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Contract redlining workflows | CR | Route redline tasks, reviewer notes, fallback clauses, and approval states. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Policy update tracking | PU | Track policy changes, affected documents, owners, and follow-through. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Regulatory filing prep | RF | Structure filing inputs, check gaps, and preserve reviewer evidence. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| GDPR/CCPA request handling | GD | Route privacy requests with identity, timeline, evidence, and approval controls. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
| Vendor contract review | VC | Flag vendor terms, risk areas, approval needs, and evidence for counsel. | Human review for exceptions and sampled QA. | CLM, DMS, Legal inbox | Faster cycle time with cleaner control. |
IT OPS & HELPDESK
IT Ops workflows, run with change-control rigor.
IT Ops & Helpdesk
Where IT Ops & Helpdesk automation breaks in production.
Priority gets guessed too late
Production breakpoints
Priority gets guessed too late
Incidents, tickets, and alerts need classification, impact, and owner state before queues back up.
Access and changes need controls
Approvals, rollback plans, and policy checks cannot be hidden inside unattended automation.
How the operating layer carries it.
01 - Incident triage
Incidents are classified by impact, urgency, and owner category before they hit the resolver queue.
02 - Access workflow
Requests are checked against policy, routed to the right approver, and logged with the decision.
03 - Change log on record
Every change action, approval, rollback note, and outcome stays visible in the audit trail.
IT workflows the operating layer can carry cleanly.
WORKFLOW LIBRARY
| Workflow | Signal | Operating step | Review | Systems | Metric |
|---|---|---|---|---|---|
| Incident triage + routing | IT | Classify incident priority, service impact, owner, and escalation path before routing. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| Access request approvals | AR | Check role, policy, approval chain, and audit trail before access changes. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| Change request triage | CT | Route change requests by risk, service impact, rollback state, and approval need. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| Asset onboarding | AO | Track device, identity, license, and owner readiness through a controlled checklist. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| Security alert triage | SA | Prioritize alerts, attach evidence, and route high-risk cases to review. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| Patch deployment QA | PQ | Sample patch readiness, rollout state, exceptions, and post-deployment checks. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| License audit | LA | Identify unused licenses, ownership gaps, policy exceptions, and cost exposure. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
| IT ticket auto-resolution with review | TA | Resolve repeatable tickets while sampling quality and escalating edge cases. | Human review for exceptions and sampled QA. | ServiceNow, Jira Service Management, PagerDuty | Faster cycle time with cleaner control. |
MAP ONE FLOW
Map one flow. See the difference.
Bring one queue, one workflow, or one exception-heavy handoff. BergLabs maps the operating path, automation points, review thresholds, and metrics that make it production-safe.
Map a WorkflowFOUR-WEEK PILOT
Start with one controlled workflow.
We prove the operating model before scaling it: BergFlow holds the controlled record, BergAuto automates routine steps, Quinn reviews exceptions, and Charterr reports the queue.
Start a Pilot