· Fabren Playbooks
Playbooks for AI workflows that have to work in the real world.
Each guide covers the inputs, operating steps, human review points, failure modes, and evidence a team should demand before an AI workflow goes live.
Workflow Recipes · 3 min read
AI revenue leakage review workflow: finding missed charges, failed billing, and contract-to-cash gaps
A practical AI revenue leakage review workflow for finding missed charges, failed billing, usage mismatches, delayed invoices, and owner-reviewed recovery actions.
One workflow end to end: inputs, steps, review points, exceptions, and output.
Workflow Recipes
AI pricing exception workflow: discounts, margin notes, approval rules, and deal history
A practical AI pricing exception workflow for reviewing discount requests, margin notes, competitor context, approval thresholds, owner signoff, and CRM evidence.
Workflow Recipes
AI shared inbox triage workflow: classifying customer, finance, HR, and vendor messages without losing review control
A practical AI shared inbox triage workflow for classifying messages, extracting attachments, routing owners, flagging urgency, and preserving review control.
Workflow Recipes
AI customer onboarding handoff workflow: moving from sales promise to kickoff plan without losing context
A practical AI customer onboarding handoff workflow for turning closed-won promises, access owners, risks, and kickoff tasks into an approved onboarding plan.
Workflow Recipes
The AI inbox: faster replies without losing control
How service businesses can triage, draft, route, and escalate email without handing the inbox to a black box.
Workflow Recipes
How AI can become your first RevOps hire
Before hiring sales operations, use AI to clean CRM handoffs, draft follow-ups, and surface pipeline risk.
Workflow Recipes
AI document processing for SMBs: invoices, forms, PDFs, and exceptions
How to automate document-heavy work without ignoring messy files, approvals, and edge cases.
Workflow Recipes
AI lead qualification workflow: score, route, and review inbound leads
How sales and RevOps teams can use AI to qualify leads, update CRM fields, and route follow-up while keeping humans in control.
Workflow Recipes
Back-office automation with AI: intake, routing, and review workflows
How operations teams can use AI to automate back-office request intake, approvals, task routing, and reporting without hiding human judgment.
Workflow Recipes
AI meeting notes to action items workflow: turn calls into owned work
How teams can use AI to turn meeting notes and transcripts into decisions, tasks, owners, and follow-up without inventing commitments.
Workflow Recipes
AI document routing workflow: classify, assign, review, and track documents
A practical AI document routing workflow for teams that need forms, PDFs, invoices, contracts, or requests sent to the right owner with review controls.
Workflow Recipes
AI CRM cleanup workflow: dedupe, normalize, enrich, and review
A practical workflow for using AI to clean CRM records, merge duplicates, normalize fields, prepare enrichment, and keep humans in control of risky changes.
Workflow Recipes
AI client intake workflow: capture, route, review, and follow up
A practical AI client intake workflow for service businesses that need better form capture, missing-info follow-up, risk flags, CRM routing, and human approval.
Workflow Recipes
AI reporting automation workflow: data, narrative, exceptions, and approval
A practical AI reporting automation workflow for agencies, finance, operations, and client-service teams that need faster dashboards and narrative updates with human approval.
Workflow Recipes
AI customer support escalation workflow: SLA risk, refunds, sentiment, and review
A support workflow guide for using AI to detect escalation risk, SLA pressure, refund language, supervisor review needs, and knowledge-base gaps.
Workflow Recipes
AI operator spec workflow: defining the job before you automate it
A practical AI operator spec workflow for defining the job, systems, boundaries, review owner, proof checklist, and success metric before an AI workflow is built.
Workflow Recipes
AI workflow evaluation scorecard: deciding whether an automation is actually safe to expand
An AI workflow evaluation scorecard for deciding whether a live automation should be expanded, fixed, throttled, or stopped using adoption, error, review, and business evidence.
Workflow Recipes
AI batch lock approval workflow: preventing two agents from acting on the same queue
A practical AI batch lock approval workflow for assigning one execution owner, preserving proof, and preventing two agents from acting on the same queue at once.
Workflow Recipes
AI crawl quality recovery workflow: what to fix when new pages are not getting indexed
A practical AI crawl quality recovery workflow for checking HTTP status, canonical tags, sitemap inclusion, internal links, and publication quality before claiming an indexing problem is solved.
Workflow Recipes
AI automation quality throttle workflow: when to slow down output before the system degrades
A practical AI automation quality throttle workflow for deciding when output should continue, slow down, hold affected batches, or stop until quality and deployment signals recover.
Workflow Recipes
AI customer implementation status workflow: keeping milestones, blockers, and next steps honest
A practical AI customer implementation status workflow for reconciling milestone truth, blocker ownership, customer-safe updates, and escalation decisions before the next status call.
Workflow Recipes
AI client onboarding intake workflow: collecting the right facts before kickoff
A practical AI client onboarding intake workflow for collecting scope facts, access owners, document needs, risks, and kickoff-ready approvals before delivery starts.
Workflow Recipes
AI customer renewal risk workflow: evidence, account notes, and reviewed save plans
A practical AI customer renewal risk workflow for collecting risk signals, organizing account evidence, and preparing reviewed next-step plans before renewal conversations.
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