Use Cases

Built for workflows where manual work becomes expensive.

The strongest automation opportunities are repeatable, high-volume, rule-guided, and connected to revenue, service quality, risk, or operational cost.

01RevOps · Sales

AI Sales Operations Agent

Problem

Inbound leads arrive but routing and follow-up depend on manual review. High-intent leads wait too long, reps receive incomplete context, and CRM records become inconsistent.

Solution

An AI sales operations workflow that enriches leads, scores fit, summarises context, routes the lead, updates CRM fields, and alerts the correct sales owner.

Workflow steps

  1. 1.New lead enters CRM
  2. 2.Workflow enriches company and contact data
  3. 3.AI summarises company fit, likely use case, and urgency
  4. 4.Routing logic assigns owner based on territory or segment
  5. 5.High-value leads go to human approval
  6. 6.CRM is updated with structured fields and notes

Business impact

Faster lead responseCleaner CRM dataLess SDR research timeMore consistent routing

Tools

HubSpotSalesforceApolloSlackPostgreSQLn8nOpenAI
02RevOps · Sales

Lead Enrichment & Qualification

Problem

Sales teams waste time researching low-fit leads while high-fit leads are not consistently identified. Enrichment is manual, incomplete, or dependent on rep behaviour.

Solution

A lead enrichment and qualification system that pulls external data, evaluates ICP fit, scores the account, and routes next steps automatically.

Workflow steps

  1. 1.New lead or account is created
  2. 2.Enrichment tools collect company, funding, tech, and role data
  3. 3.AI evaluates fit against ICP criteria
  4. 4.Workflow assigns qualification score and rationale
  5. 5.Low-confidence results sent for human review
  6. 6.CRM fields updated with structured data

Business impact

Less manual researchBetter lead prioritisationMore consistent qualificationReduced pipeline leakage

Tools

HubSpotSalesforceApolloClayn8nPostgreSQL
03RevOps · Operations

CRM Automation

Problem

CRM data becomes unreliable because teams manually update fields, merge duplicates, and maintain ownership rules. Reporting becomes hard to trust.

Solution

CRM workflows that validate records, update fields, detect duplicates, enforce ownership logic, and surface records that need review.

Workflow steps

  1. 1.New or updated CRM record triggers workflow
  2. 2.Required fields are checked
  3. 3.Duplicate logic compares email, domain, account name
  4. 4.Enrichment fills missing data
  5. 5.Lifecycle and owner rules are applied
  6. 6.Exceptions routed to RevOps for approval

Business impact

Cleaner CRM dataMore reliable reportingFewer manual RevOps tasksReduced duplicate and stale records

Tools

HubSpotSalesforceAirtablePostgreSQLn8nMake
04Support · CX

Support Ticket Triage

Problem

Support teams manually classify, prioritise, research, and route tickets. Response time increases as volume grows, and escalation depends on individual judgement.

Solution

An AI-assisted triage system that classifies tickets, detects urgency, suggests a response, routes the ticket, and escalates when needed.

Workflow steps

  1. 1.New ticket arrives in Zendesk or Intercom
  2. 2.AI classifies category, urgency, and sentiment
  3. 3.Workflow checks account status, SLA tier, open issues
  4. 4.Suggested response drafted from knowledge base
  5. 5.High-risk responses require human review
  6. 6.Ticket routed or escalated based on rules

Business impact

Faster first responseMore consistent triageReduced repetitive agent workBetter SLA adherence

Tools

ZendeskIntercomFreshdeskJiraSlackOpenAIn8n
05Operations · Finance

Internal Reporting Automation

Problem

Leadership reporting depends on manual exports, spreadsheet cleanup, and copy-paste summaries. Reports are slow, inconsistent, and difficult to audit.

Solution

A reporting workflow that pulls data from source systems, cleans it, formats it, summarises key changes, and delivers reports on schedule.

Workflow steps

  1. 1.Scheduled workflow runs weekly or monthly
  2. 2.Data pulled from CRM, support, finance, project tools
  3. 3.Workflow validates fields and highlights missing data
  4. 4.Metrics calculated and compared to prior period
  5. 5.AI drafts a plain-English summary with source references
  6. 6.Human approval requested before distribution

Business impact

Less manual reporting timeMore consistent metricsFaster leadership visibilityBetter trust in source data

Tools

PostgreSQLSupabaseHubSpotZendeskGoogle SheetsSlackn8n
06Back-Office · Operations

Document Processing

Problem

Teams manually read contracts, forms, invoices, or PDFs and extract data into systems. This creates delays, extraction errors, and poor auditability.

Solution

A document processing workflow that receives documents, extracts structured data, validates fields, routes exceptions, and updates business systems.

Workflow steps

  1. 1.Document arrives via email, upload, form, or shared folder
  2. 2.Workflow extracts text and metadata
  3. 3.AI identifies document type and required fields
  4. 4.Structured data validated against business rules
  5. 5.Missing or uncertain fields sent for human approval
  6. 6.Approved data updates CRM, database, or finance system

Business impact

Reduced manual data entryFaster document processingFewer extraction errorsImproved back-office throughput

Tools

Google DriveMicrosoft 365OCR APIsOpenAIPostgreSQLAirtablen8n
07Operations · Finance

Back-Office Workflow Automation

Problem

Operations teams run approvals, requests, and onboarding through email chains and spreadsheets. There is no clear status, audit trail, or ownership.

Solution

A back-office workflow system that standardises requests, routes approvals, updates systems, and logs every step.

Workflow steps

  1. 1.Request enters through form, email, or internal portal
  2. 2.Workflow validates required information
  3. 3.Business rules determine route and approver
  4. 4.Approver receives Slack or email approval request
  5. 5.Approved request triggers task creation and record updates
  6. 6.Exceptions routed to operations

Business impact

Fewer email threadsClearer ownershipFaster approvalsBetter compliance and traceability

Tools

SlackGoogle WorkspaceAirtableNotionClickUpPostgreSQLn8n
08AI Governance · Operations

Human Approval AI Workflows

Problem

Companies want AI leverage but cannot allow AI to take certain actions without review. Teams either avoid AI or use it informally with no governance.

Solution

Human-in-the-loop AI workflows that let AI classify, draft, recommend, or prepare actions while humans approve high-risk outputs.

Workflow steps

  1. 1.Workflow receives customer message, lead, document, or request
  2. 2.AI analyses and proposes classification or next action
  3. 3.Confidence score and rationale generated
  4. 4.Low-risk items proceed automatically if rules allow
  5. 5.High-risk or low-confidence items go to human approval
  6. 6.Human approves, edits, rejects, or escalates

Business impact

AI leverage without uncontrolled automationBetter governanceClear audit trailMore confidence from leadership and compliance

Tools

OpenAIAnthropicSlackPostgreSQLn8nCRM APIsSupport APIs

Recognise one of these workflows in your business?

The first step is understanding whether the ROI justifies a production build. That is exactly what the Automation Opportunity Audit answers.

Check Audit FitView Audit Deliverables

Best fit for B2B teams with repeated workflows across CRM, support, operations, reporting, approvals, or back-office systems.