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A catalog of the AI implementation patterns we hunt for and build. Filter by function to see the shape of each one, from today's workflow to its AI-enabled version.
Reps capped on prospecting; pipeline leans on paid channels.
Signal-triggered research, sequences and booking run themselves.
Slow lead response, leads routed to the wrong rep.
An agent qualifies, scores, books and routes instantly.
Reps spend hours building account briefs before calls.
Dossiers auto-built from filings, news and tech stack.
Bid team blocked by multi-week proposal drafting.
Draft responses from a win library, flag gaps, human reviews.
Inconsistent scopes, slow quote turnaround.
Scoped proposals generated from discovery notes.
Inventory overhang, price pressure, slow buyer response.
Yield pricing plus an agent that responds and books.
Thin organic presence, high paid dependency.
Programmatic, edited content tied to conversion paths.
Weak top-of-funnel, long trust-building cycle.
Automated reports and assessments open executive doors.
CRM distrusted, reps not logging activity.
Auto-logging, dedupe, stage updates, stale-deal alerts.
Leadership surprised by competitor moves.
Continuous scrape of peer press, filings and job posts.
Cost per contact rising, SLA breaches, more support hires.
FAQs, status and simple actions resolved, escalates with context.
Backlog ageing, inconsistent response quality.
Classify, prioritize and draft; a human approves and sends.
Long hold times, missed calls after hours.
Phone agent handles appointments, status and routing.
Slow time-to-value, early churn, first-30-day tickets.
Guided setup with policy and product answers on tap.
Rising churn, reactive saves, no early warning.
Risk signals trigger save offers and account-manager outreach.
“Can’t find anything,” duplicated work, slow onboarding.
Permission-aware, cited answers across every tool.
Senior experts interrupted by repeat questions.
A curated corpus answers within one function.
Repeat truck rolls, senior-tech dependency on site.
Voice or text assistant for SOPs and parts on site.
Decisions lost in notes, CRM not updated post-call.
Record, summarize and push actions to your systems.
Leaders buried in email, slow decisions.
Prioritize, draft and delegate for leadership queues.
AP headcount flat while invoice volume grows.
Extraction, PO matching and coding with exception routing.
Supplier disputes, month-end fire drills.
Auto-match PO, receipt and invoice; route exceptions.
Backlog of unread documents, manual re-keying.
Ingest, classify, extract fields and route to systems.
Legal queue weeks long, business waiting on signatures.
Extract clauses, flag non-standard terms against a playbook.
Claims backlog, long cycle time, error rework.
Extract, validate and route claims and returns.
Close runs long, controllers burned out.
Automated reconciliations and checklist orchestration.
FP&A spends days on commentary, not analysis.
Draft management commentary from actuals and drivers.
Surprise cash squeezes, manual Excel forecasts.
Rolling forecast from AR, AP, pipeline and inventory.
Time-to-fill high, recruiters admin-heavy.
Source, screen against a rubric, schedule; human decides.
HR tickets repetitive, policies hard to find.
Answers on leave, benefits and policy; escalates edge cases.
RFI backlog, rework from coordination errors.
360° capture, BIM compare and auto field notes.
SLA misses, dispatcher overload.
Classify work orders, suggest resolution, route and notify.
Slow quotes, margin leakage, engineer bottleneck.
Draft quotes from rules, historical wins and parts lists.
Exception queue grows faster than headcount.
Monitor warehouse and logistics exceptions, suggest fixes, draft comms.
Audit prep crunch, repetitive document review.
Check SOPs and audit packs against a checklist.
Brittle integrations, swivel-chair work between systems.
An agent chains CRM, email, ERP and spreadsheet steps.
Legal or compliance blocked prior AI pilots.
AI proposes, a human approves before anything ships.
Leaders drowning in dashboards, slow to act.
Summarize KPIs, flag anomalies, draft a daily brief.
Security or legal vetoed AI on client data.
EU-resident private inference with audit and PII redaction.
Reps discover account changes too late to act.
Funding, hiring and technology signals trigger prioritized outreach.
Pipeline reviews rely on stale stages and rep intuition.
Conversation and activity signals expose risk and recommend actions.
Cross-sell opportunities depend on account-manager memory.
Usage and account signals surface timely expansion plays.
Managers sample few calls and coaching arrives too late.
Every call is scored against the sales methodology.
Teams react slowly to weak audiences, creative and spend.
An agent recommends budget and creative changes continuously.
Account risk becomes visible only after engagement collapses.
Usage, support and sentiment signals trigger early intervention.
Complex cases lose context across teams and systems.
The full case history and resolution plan arrive in one brief.
Feedback remains fragmented across calls, tickets and reviews.
Themes, severity and revenue impact are synthesized continuously.
Supervisors manually review a tiny sample of interactions.
Every interaction is scored for quality and compliance.
Generic training leaves customers struggling with their setup.
Guidance adapts to each customer's configuration and behavior.
Decisions and rationale disappear across meetings and chat.
Decisions, owners and commitments become searchable records.
Teams cannot identify who has solved a problem before.
Work history and artifacts reveal the right internal expert.
Analysts spend days gathering and validating source material.
Cited research briefs are assembled for human review.
Policy changes are published without role-specific implications.
Each team receives affected workflows and required actions.
Decision-makers reconcile fragmented reports before acting.
Evidence, trade-offs and open questions arrive in one brief.
Teams manually track regulations and interpret operational impact.
Changes are detected, mapped to controls and assigned.
Audit evidence is chased manually during deadline crunches.
Evidence is collected, validated and organized continuously.
Privacy requests trigger manual searches across many systems.
Records are located, reviewed and packaged through one workflow.
Expired certificates and missing documents surface too late.
Supplier records are extracted, checked and chased automatically.
Contractual commitments live in documents and spreadsheets.
Obligations, deadlines and owners are extracted and monitored.
Missed billing and incorrect discounts are found after revenue is lost.
Contracts, usage and invoices are reconciled for leakage.
Collectors work overdue accounts in static queue order.
Accounts are ranked by recovery likelihood and recommended action.
Finance samples claims after payment and misses subtle violations.
Every claim is checked before reimbursement.
Incomplete purchase requests bounce between employees and procurement.
A guided intake gathers requirements and routes approvals.
Buyers prepare negotiations from fragmented spend data.
Each negotiation starts with a fact-based leverage brief.
Scenario modeling requires repeated spreadsheet rebuilds.
Leaders explore governed scenarios through natural language.
Hiring and workload decisions use backward-looking spreadsheets.
Demand, capacity and skill gaps are forecast together.
Annual surveys reveal organizational problems months late.
Aggregated feedback highlights emerging issues while protecting privacy.
Managers reconstruct months of evidence during review season.
Evidence is organized into balanced drafts for manager approval.
Employees and internal roles are matched through informal networks.
Skills and aspirations are matched to roles and projects.
Managers prepare difficult conversations without consistent support.
A private assistant structures evidence and coaching plans.
Maintenance follows fixed intervals or equipment failure.
Failure risk and operational context prioritize preventive work.
Planners manually rebalance schedules after every disruption.
Schedules adapt to demand, capacity and material constraints.
Manual inspection misses defects or slows production.
Computer vision flags defects for human disposition.
Incident reports are reviewed individually after harm occurs.
Recurring hazards and preventive actions are surfaced across sites.
Static routes ignore changing demand and operating conditions.
Routes adapt to urgency, capacity and service constraints.
Shortages and excess stock are managed through lagging reports.
Demand and supply signals predict inventory risk by item.
Supplier risk becomes visible only after delivery slips.
External and operational signals trigger mitigation plans.
We'll show you which of these fit your company, sized in money.