AI Automation by Industry

Built for yoursector, not a demo.

21 sectors, each with the same operational problem solved a different way. Find yours below.

Industry solutions

Built for your industry.

The operational problem is different in every sector. Filter by the system you are considering to see how it applies to yours.

Showing 21 of 21

Recruitment

Problem: Recruiters spend the day on data entry, scheduling, and chasing rather than on candidate conversations.
Automation: WorkforceOS sources, parses, screens, and schedules automatically, while CallForge captures every call against the candidate record.
Outcome: More placements per recruiter without adding headcount.

WorkforceOSCallForgeInterview Copilot

Staff Augmentation

Problem: Bench utilisation is guesswork because supply, demand, and client requirements live in separate spreadsheets.
Automation: WorkforceOS matches available consultants to open requirements and keeps the client pipeline current automatically.
Outcome: Higher bench utilisation and faster response to client briefs.

WorkforceOSLeadForge

Healthcare

Problem: Credential checks and shift coverage are handled manually under time pressure, with compliance risk attached.
Automation: WorkforceOS tracks credentials and availability; CallForge logs every patient and staffing call with a written summary.
Outcome: Shifts filled faster with a defensible audit trail.

WorkforceOSCallForge

Manufacturing

Problem: High-volume shift hiring restarts from zero every season, and the same candidates are re-screened repeatedly.
Automation: WorkforceOS maintains a live talent pool and re-engages known candidates before sourcing new ones.
Outcome: Lower cost per hire and shorter ramp for seasonal peaks.

WorkforceOS

Construction

Problem: Trades are hired per project, so the pipeline is rebuilt for each site and certifications are re-verified by hand.
Automation: WorkforceOS holds certifications and availability against each worker and reactivates them per project.
Outcome: Crews staffed in days rather than weeks.

WorkforceOS

Finance

Problem: Client conversations carry regulatory weight but are recorded inconsistently across advisers.
Automation: CallForge records, transcribes, and summarises every call into the client record automatically.
Outcome: Consistent records and materially less review effort.

CallForgeLeadForgeInterview Copilot

Insurance

Problem: Quote follow-up depends on an agent remembering, and warm leads go cold in the gap.
Automation: LeadForge sequences follow-ups on its own and stops the moment a prospect replies.
Outcome: More quotes converted from the same lead volume.

LeadForgeCallForge

Real Estate

Problem: Enquiries arrive across portals, email, and phone, and the fastest responder wins the instruction.
Automation: LeadForge validates and routes enquiries instantly; CallForge keeps the full conversation history on the contact.
Outcome: Faster first response and fewer lost instructions.

LeadForgeCallForge

Education

Problem: Admissions teams handle repeated enquiries and chase incomplete applications by hand.
Automation: LeadForge runs the applicant nurture sequence; CallForge centralises every admissions call.
Outcome: Higher application completion with a smaller admissions team.

LeadForgeCallForgeInterview Copilot

Legal

Problem: Intake calls are unstructured, and matter details are re-keyed from notes after the fact.
Automation: CallForge captures the intake conversation and produces a structured summary against the matter.
Outcome: Cleaner intake records and less fee-earner admin.

CallForgeInterview Copilot

Customer Support

Problem: Agents repeat questions the customer already answered because history sits in another system.
Automation: CallForge opens the full contact record before the call connects and writes the summary afterwards.
Outcome: Shorter handle times and measurably better first-contact resolution.

CallForgeInterview Copilot

Call Centres

Problem: Quality assurance samples a tiny fraction of calls, so coaching is based on anecdote.
Automation: CallForge records and summarises every call; Interview Copilot guides agents live on the ones that matter.
Outcome: Coaching grounded in complete data rather than spot checks.

CallForgeInterview Copilot

Sales Teams

Problem: Reps spend more time maintaining the CRM than selling, and forecasts rest on self-reported data.
Automation: LeadForge updates the pipeline from real system events — sends, replies, and bookings.
Outcome: More selling hours and a forecast leadership can trust.

LeadForgeCallForgeInterview Copilot

Marketing Agencies

Problem: Reporting across many client workspaces is rebuilt by hand every month.
Automation: LeadForge handles multi-workspace campaigns and generates per-client performance views automatically.
Outcome: Reporting time collapses and clients see results sooner.

LeadForge

IT Services

Problem: Delivery consultants are billable, but sourcing and pre-sales pull them into unbillable work.
Automation: WorkforceOS runs technical sourcing and screening; LeadForge handles pre-sales outreach.
Outcome: Consultant time stays on billable delivery.

WorkforceOSLeadForge

Software Companies

Problem: Outbound and hiring both scale badly, and each new market means another manual process.
Automation: LeadForge runs outbound across workspaces while WorkforceOS scales technical hiring alongside it.
Outcome: Growth without a proportional increase in operations headcount.

LeadForgeWorkforceOS

Logistics

Problem: Driver recruitment and dispatch communication run on phone calls nobody logs.
Automation: WorkforceOS keeps the driver pipeline warm; CallForge records dispatch calls against each contact.
Outcome: Faster driver onboarding and traceable dispatch decisions.

WorkforceOSCallForge

Transportation

Problem: Compliance documents and licence expiries are tracked in spreadsheets and missed.
Automation: WorkforceOS holds documents against each worker and flags expiries before they lapse.
Outcome: Fewer compliance gaps and less administrative chasing.

WorkforceOS

Retail

Problem: Store-level hiring is handled by managers who are not recruiters, in the hours they do not have.
Automation: WorkforceOS screens and schedules centrally so managers only meet shortlisted candidates.
Outcome: Stores staffed faster with far less manager time spent hiring.

WorkforceOS

E-commerce

Problem: Customer contact is split across channels, so nobody sees the whole relationship.
Automation: CallForge centralises voice alongside the contact record; LeadForge runs retention sequences.
Outcome: Higher repeat purchase rate and fewer unresolved contacts.

CallForgeLeadForge

Professional Services

Problem: Business development competes with billable work and always loses.
Automation: LeadForge runs outreach and follow-up continuously; Interview Copilot supports the pitch itself.
Outcome: A pipeline that keeps moving during delivery-heavy periods.

LeadForgeInterview CopilotCallForge

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